Showing posts with label Managed AWS Services. Show all posts
Showing posts with label Managed AWS Services. Show all posts

Thursday, 14 March 2019

Amazon Guard​Duty

Amazon GuardDuty is a threat detection service which continuously monitors for malicious or unauthorized behavior to help customer protect their AWS accounts and workloads. GuardDuty monitors for activities such as unusual API calls or potentially unauthorized deployments that indicates a possible account compromise. It also notices potentially compromised instances or reconnaissance by attackers.
 

Amazon GuardDuty does not require an IT team to deploy, manage and scale additional security software. Instead, an administrator or security analyst enables GuardDuty via the AWS Management Console, and the service immediately begins to analyze cloud environment. However, some of the more advanced threat detection capabilities require one or two week to establish normal baselines for comparison.
 

How It Works :
 

Amazon GuardDuty continuously analyzes cloud events in AWS CloudTrail, Amazon Virtual Private Cloud (VPC) Flow Logs and domain name system (DNS) logs for possible malicious activity.
 

Enable it with a few clicks in the AWS Management Console, Amazon GuardDuty can immediately start analyzing billions of events across AWS accounts for signs of risk. It recognizes suspected attackers through integrated threat intelligence feeds and uses machine learning to find anomalies in account and workload activity. Whenever a potential threat is detected, the service delivers a detailed security alert to the GuardDuty console and AWS CloudWatch Events. This flow makes alerts actionable and easy to integrate into existing event management and workflow systems.
 

The service utilizes built-in threat intelligence, anomaly detection and machine learning potentials developed by the AWS security team to do analysis in near real time.
 

GuardDuty Detects Following Types Of Threats On The AWS Cloud :

  • Attacker Reconnaissance : These types of threats contains failed login patterns, unusual API activity and port scanning.
  • Compromised Resources : This category of threats includes cryptojacking, unusual spikes in network traffic and temporary access to EC2 instances by an external IP address.
  • Compromised Accounts : Examples of these threats contains API calls from an odd location, attempts to disable CloudTrail and unusual instance or infrastructure deployments.

While an admin can supply GuardDuty with his or her own list of "safe" IP addresses, the service does not otherwise support customized detection rules. An admin can, however, respond to each GuardDuty finding with thumbs-up or thumbs-down responses to provide feedback for future detections.
 
Amazon GuardDuty compiles and delivers security findings in a JSON format to the Management Console, which enables an admin or automated workflow to take action accordingly. For example, Amazon CloudWatch Events can accept findings from GuardDuty, then trigger an AWS Lambda function to modify security configurations. The GuardDuty console and APIs retain security findings for 90 days.

GuardDuty Management and Costs :
 
Amazon GuardDuty works independently from cloud resources, which means it has no performance impact on running systems. Additionally, GuardDuty uses service-linked roles through AWS Identity and Access Management, which means an admin doesn't have to manage or modify S3 bucket policies or log collection.
 
Amazon GuardDuty is cost effective and easy. It does not require customer to deploy and maintain software or security infrastructure. There are no upfront costs with GuardDuty, no software requires to be deploy, and no threat intelligence feeds required.
 
An AWS customer pays for GuardDuty based on the quantity of AWS CloudTrail Events and volume of VPC Flow Logs and DNS logs the service analyzes. AWS provides a 30-day free trial for GuardDuty.  
Amazon Macie, another machine learning-enabled security service, differs from GuardDuty in that it focuses on data classification and protection.

Thursday, 7 March 2019

Configure Simple Email Service in Python with Postman and Postfix

Amazon Simple Email Service is a cloud-based email sending service designed to help to the customer to send marketing, notification, and transactional emails.

Amazon Simple Email Service is a scalable and cost-effective email sending service customized for both bulk and transactional for both businesses and developers. Amazon SES contains features like content filtering technologies, dedicated IP addresses, and a reputation dashboard. Retaining a good position makes sure that your messages deliver to your customer's inboxes.

As Simple Email Service is cost effective means pay only for what you use. There are no upfront fees, as well as no time-consuming pricing negotiations, no fixed expenses, and no minimum charges. And, if you send from an application hosted in Amazon EC2, then AWS provides you first 62,000 emails free for every month.

Use configuration sets to generate rules which are applied to the emails you send using Amazon SES. Send email metrics to Amazon CloudWatch for further analysis, otherwise receive notifications through Amazon SNS.

You can use AWS SMTP interface or one of the AWS SDKs to integrate Amazon SES directly into your existing applications. Besides, you can integrate the email sending potentials of Amazon SES into the software you use earlier, like ticketing systems and email clients.

In this service application programming interface (API) calls to Amazon SES through boto, a Python library for AWS. Also a sample command-line tool called Postman, which is designed for use in your Postfix configuration to send mail through Amazon SES.

For getting this service, you have to install postman with the command line. If you do not have pip installed, you can install it manually by downloading the postman from the URL - http://pypi.python.org/pypi/postman . After installation of postman install boto as the library is a dependency.

After installation you must have to configure boto to use your account with access credentials (aws_access_key_id and aws_secret_access_key) by editing /etc/boto.cfg file. In standard boto fashion, you get a connection object for the service. Next, call the send_raw_email method on the connection object with content from standard input. That's all there is to sending an email message using Python and boto through Amazon SES.

After installation and configuration you have to verify the email address,this is a simple call to a single boto connection method, verify_email_address. You need to call this method for every email address from which you want to send a message. In fact, while in the Sandbox, you will also need to call this method for the email addresses you are going to send mail to. After calling this method, Amazon SES sends an email with a confirmation link. The recipient must click the link before the address is considered verified. Once verified, you can send mail as that address. To check which email addresses are verified on your account, you can run the list_verified command on your command prompt. To check current limit and and already sent information use show_quota and show_stats commands. These are simple wrappers around two boto methods.get_send_quota and get_send_statistics.that provide some parsing out of the data structure that botoreturns to provide cleaner console output.

Also command delete_verified provides a way to remove an email address from the verified emails that are allowed be in the From header of an email message. The rest of the __main__.py module consists of Python code that parses input arguments and calls the right command function. The module is missing one API call that boto does provide, however a more structured email send that does not require a raw email message body. Adding this call provides a clean method for sending email messages from the command line without having to structure and PIPE in content with email headers.

There are two limits on your Amazon SES account i.e a daily quota and a send rate. The daily limit is how many emails you are allowed to send within a 24-hour period. The send rate is how many emails your account can send per second. For example, you start out with a daily quota of 1000 and a 1/email/sec rate, so if you had a batch of 1000 emails to send, you would have to throttle the sending to 1 per second, or else you would get an exception. So, it would take approximately 17 minutes to send all 1000 messages, but after doing so, you would need to wait another 23.75 hours until you could send anymore. The postman show_quota command will help you in observing these limits, which Amazon increases depending on your usage over time.

Amazon provides an API to fetch statistics on emails sent grouped in 15-minute intervals for a rolling previous two-week period. These statistics are useful for assisting in monitoring how your application is using and sending email. They provide counts on delivery attempts, complaints, bounces, and rejects. The postman show_stats command prints these figures to the console.

To avoid spam filtering or outright rejections from ISPs, it's an good idea to set Sender Policy Framework and Sender ID records. These are Domain Name System (DNS) TXT records that have the following content:

SPF : v=spf1 include:amazonses.com ?all
Sender ID : spf2.0/pra include:amazonses.com ?all

These DNS records entries must have to add in DNS zone file to ensure high-quality delivery of your email.

Thursday, 28 February 2019

AWS S3 : Deep Dive into Amazon Simple Storage Service

Amazon Web Services (AWS) have many offerings for low-cost data storage with high durability and availability. AWS avails storage choices for backup, archiving, and disaster recovery use cases and provides block, file, and object storage.

This blog will help you in clear understanding about the AWS S3 service, we have also mentioned some examples which you can use as references.

Amazon S3:
It is a simple storage service that provides software developers a highly-scalable, reliable, secure, efficient, and inexpensive data storage, where we can store and retrieve any amount of data, at any time, from anywhere on the web.

Following are ranges of storage classes in S3 designed for different use cases including the following:

  • Amazon S3 Standard - For general-purpose storage of frequently accessed data.
  • Amazon S3 Standard-Infrequent Access (Standard-IA) - For long-lived, but less frequently accessed data.
  • Amazon Glacier - For low-cost archival data.

We can categorize the S3 on basis of usage pattern as below:
 
A. Store and Distribute Static Content : 
Amazon S3 can be use to store and distribute static data-intensive content and media over the web. The content can be delivered/distributed directly from Amazon S3 because each object in Amazon S3 owns unique HTTP URL. Alternatively, Amazon S3 can serve as an origin store for a content delivery network (CDN), such as Amazon CloudFront for delivering the static media.

B. Hosting Static Website : 
  The elastic nature of Amazon S3 makes it particularly comfortable for hosting static website. Also S3 offers low-cost, highly availability, and solution with highly scalability, including storage for static HTML files, images, videos, and client-side scripts.
 
C. Analytics : 
Amazon S3 provides functionality as a data store for computation and large-scale analytics, such as transaction analysis for financial, clickstream analytics, and media transcoding. Horizontal scalability of Amazon S3 avails you to access your data from multiple computing nodes concurrently & seamlessly without being constrained by a single connection.
 
There are many more use cases where S3 can provide complete solution. Now we will see an demonstration of S3 where we will use S3 with Amazon Glacier to provide a scalable and secure solution for backup and archiving of cold data(earlier transaction logs, historical data etc)

In S3 service, AWS provides with Lifecycle rules which can be used to transmit the data from standard storage tier to any of the Infrequent access tier or glacier. For demonstration we can consider a use case where we have to store the web server logs of 6 months earlier which will not be required frequently. With below mentioned steps we can achieve the solution for the discussed use case.

1. Firstly create a S3 bucket where all logs of the web server will be stored.



2. Once your bucket is created, upload all the logs of the web server into the same using SDK or any relevant tool.

3. Once all data is uploaded over the bucket, you can set-up a lifecycle rule to transmit data to glacier with below shown steps.

A. Goto Management



B. Now you will see the tab for Lifecycle rule



C. Create rule Here we have took retention period of 6 months



D. In next step we will provide data transition rule which will transmit data into glacier after 180 days.



E. Now after transition rule we will provide expiration policy for the source data which will be present on S3 bucket once it is moved to Glacier.



F. Finally after all the above steps save the configuration.



Cloud.in Suggestions :
In the above article we have learned different usage of AWS S3 services, different storage tiers in S3. The example in this article can be adapted to store archival backup into Glacier using AWS S3 service which will help in optimizing the cost of storing the historical or archival data. There are many such use cases for S3 services which will be covered in some other article.

If you have any queries related to this article, then feel free to contact us at www.cloud.in

Thursday, 21 February 2019

Best Practices For Amazon Simple Storage Service (S3)

Choosing The Bucket Location :
Information stored in any Amazon S3 bucket is replicated across various data centers in a geographical region. As, response latencies grow when requests have to travel long way over the internet, you should consider the region you place your objects in. 

Naming Buckets And Keys :
S3 buckets can be named with any alpha-numeric character, following some simple naming conventions will ensure that you can reference your bucket using the s3.amazonaws.com  

1. Use 3 to 63 characters. 
2. Use only lowercase letters, numbers, '.' and '-'. 
3. Don't start or end the bucket name with '.' and don't follow or precede a '.' with a '-'. 

Protecting Your Data :
AWS secret key is important to the security of your AWS account. Divulging it could expose data to un-authorize users in your AWS account to being read or changed by others. As such, don't integrate your AWS secret key in a website pages or other publicly accessible URL. Also, don't use keys over insecure channels. Best way, is to encrypt the keys and also the highly sensitive data. 

Ensure Data Integrity : 
Information sent to or retrieved from S3 bucket must often pass over long way of network and through many network objects. Sometimes for any received or send request, data loss or corruption in transit does occur sometimes. Although, Amazon S3 provides a mechanism to detect this and retransmit the data from were issue was detected. 

Efficiently Deleting The Object :
Deleting a large number of objects for which you don't have list can be made faster and easier by using the tick features of the LIST feature. Call LIST to get an set of objects to REMOVE. Call LIST again using the last object deleted as a tick and repeat this process until all desired objects have been removed. 

Utilizing The Compression : 
Compress data you store in Amazon S3. You'll minimize data transmit over the internet as well as storage space utilization. If your application or website has more network latency than system bound, you'll also likely improve overall performance and reliability. 

Cloud.in Suggestion : 
Based on above parameters, follow all them as it result in the data availability, security and reliability. At the end, you will save cost and it optimized solutions over AWS S3 as compared to traditional services i.e tape drives and backup disks.
 

If you have any queries related to this article, then feel free to contact us at www.cloud.in

Thursday, 7 February 2019

Amazon S3 Bucket Public Access Considerations

Amazon S3 provides a set of an appliance to manage access of the buckets and objects. An Access Control List (ACL) is one of these access control appliances. It has come to our attention that some customers have changed default permissions and granted public access to their buckets.

We can grant public access to the bucket using ACLs, we must take the following issues into consideration :

1. Bucket Public "READ" Access :
It allows anybody to get a complete list of the bucket content. It does not grant permissions to read the content of an object. However, a list of object names can provide more information than required to the public. It referred to as "list" access.

2. Bucket Public "WRITE" Access :
It allows anybody to add, delete or replace objects in S3 bucket. This may result in unintended changes on the account. It referred to as "put" or "upload" access.

3. Bucket Public "WRITE ACP" Access :
It allows anybody to modify the access control permissions on the bucket. These entities can add permission to the ACL, an opening bucket to more public access than we require. Example, public WRITE_ACP permission on the bucket enables anybody to modify the ACL and grant permissions such as grant write permission on the bucket to others. It referred to as "edit permissions" access.

You can use ACLs to allow permissions to separate AWS accounts; however, it is firmly suggested that you do not allow public access to your bucket using an ACL.

Security By Default :

Any recently generated bucket is blocked to the public by default, minimizing the risk of accidentally uncover sensitive or private information to the public. Admin can easily revoke public access to older buckets at the account level. AWS has introduced functionality that made it easier for admin to see which buckets are marked as publicly available so they could adjust access controls as required. This product enhancement enables stricter access controls by default, which is welcome news for companies seeking greater peace of mind regarding their data security. While Amazon S3 once allowed a bucket owner to make adjustments to a particular bucket’s visibility settings, it is now possible to make those changes at the AWS account level as well.

Updating ACL to Remove Public Access to Your Buckets :

Use the following steps to remove any public access that you have granted to your bucket via ACL.
1. Sign in to Amazon Web Services and go to your S3 Management Console.
2. Select the bucket from the left. Click the Properties button from right if it's not already enlarged.
3. Refer the Permissions tab and click the Add Bucket Policy link.
4. Select the row that grants permission to everyone. "Everyone" refers to the Amazon S3 All User group.
5. Uncheck all the permissions allowed to everyone (or click x to delete the row). This removes all permissions granted to the public.
6. Click Save to save the ACL.

Best Practices For Protecting Your Amazon S3 Buckets And Objects :

Amazon S3 is a powerful service, and it’s easy to use. But if you don’t pay attention to the security, there can be serious consequences. We highly recommends that you use S3 Bucket Block for publicly accessible as the default setting for any new buckets and objects you may created. Any S3 bucket that has been appointed for internal use only, since there is no need for it to be accessible to the outside world. If you notice that a bucket of yours has been accidentally exposed, you can then go back into your S3 dashboard and set it to “Not public.”

If you have any queries related to this article, then feel free to contact us at www.cloud.in

Thursday, 31 January 2019

Replace Tape Backup with Cloud Based Storage

Requirements of storage for backup and continuing archiving for data protection and disaster recovery are expanding at huge rate. Enterprises of all types need to backup their active data regularly to avoid losses, stay compliant, and preserve data integrity. However, data protection approaches of legacy methods such as tape backup are expensive and have become increasingly complex to manage because of the large number of tapes frequently required for a restore procedure. Tape media configuration and management, media costs, third party offsite contracts and huge amount of data growth makes the tape backup challenging in organizations. 

Moving from tape backup to cloud based storage doesn’t mean that you can just roll out the old tape library and replace the capacity with some private or public cloud and you’re done. Replacing tape with cloud based storage is not difficult, but backup administrators need a plan and roadmap to ensure minimal business disruption while maintaining data protection and achieving the best results within the time frame.

AWS Storage Gateway Overview

The AWS Storage Gateway service offers a Tape Gateway configuration that gives an alternative to physical backup tapes that fits seamlessly into customer’s existing backup process. It connects an on-premise software appliance with cloud-based storage to provide seamless, protected and secure integration between an organization’s on-premise IT environment and AWS side storage infrastructure. The Tape Gateway configuration provides customer with a cost-effective, scalable, and durable virtual tape infrastructure that allows to eliminate the challenges associated with owning and operating an on-premise physical tape infra.

By getting started with AWS Storage Gateway service with your on-premise tape media setup, following points will be accomplished:
  • Create/Provision a virtual host with local storage for AWS Storage Gateway.
  • Create virtual tapes in gateway's Virtual Tape Library. Virtual tapes are stored in Amazon S3 and available to backup software through the VTL interface. It replaces tape and tape automation, so that one can start using the cloud as a backup target with minimal disruption to existing systems and processes.
  • Back up to these virtual tapes using existing backup software. The Tape Gateway enables backups to the cloud and preserves existing software licensing investment, backup jobs, and catalogs.
  • Reduce costs with long-term archival storage using Amazon Glacier. Backup software can be used to move a virtual tape into Amazon Glacier for further cost reductions.

Prerequisites Before Getting Started
  • An AWS Account to download an AWS Storage Gateway and to create a VTL and virtual tapes.
  • A Hypervisor and Host is required. The easy approach is to run AWS Storage Gateway on-premises as a virtual machine. Click here to see the list of supported Hypervisors and Host requirements.
  • Existing third party backup software to manage the backup jobs and catalog. Click here to check the list of compatible 3rd party backup software.
  • It is recommended to have skills and expertise with storage and backup technologies, networking, virtualization, backup tools, and tape solutions.

Cost Calculations

Charges are calculated based on the type and amount of storage is used, the requests you make, and the amount of data transferred out of AWS. There are monthly data storage fees for tapes stored in S3 and for tapes archived in Glacier. 

If you have any queries related to this article, then feel free to contact us at www.cloud.in

Thursday, 24 January 2019

Benefits Of Amazon Glacier Over Traditional Approaches


Amazon Glacier offers durable storage for each type of data format which can be accessed within 3-5 hours. A developer could use Amazon Glacier in conjunction with storage lifecycle management, moving infrequently used data to computer system to retain your money. It is described as a secure, reliable and low cost storage service designed for data that won’t be frequently accessed, but that you still need to retain for future reference.

Data is stored in Glacier as archives that are uploaded as a single archive, though they can contain multiple files. The archives are organized in vaults, and you can control access to your vaults using the AWS IAM i.e. Identity and Access Management service. You can monitor the status of your Amazon Glacier jobs using the Amazon Glacier APIs, so could include the process within your applications. You can also choose to have your vault send you a notification via the Amazon Simple Notification Service (Amazon SNS) when it completes.

Benefits Over Traditional Approaches:
Glacier is designed to help reduce the costs companies typically over-pay for archiving data. It eliminates the requirement that a company must purchase an expensive archiving solution (which does not include the ongoing cost for operational expenses such as power, facilities, staffing, and maintenance). By offering an elastic inexpensive storage solution, businesses do not have to think what their archiving potential needs and respective charges will be. This eliminates concerns about over-provisioning or under-provisioning these environments while correctly estimating the respective budgets tied to these projects. Amazon Glacier works on pay-as-you-go functionality.

Glacier Select:
Amazon has released a tool that can query archived data held in Amazon Glacier, its low cost storage for data archiving. Glacier Select improves the attractiveness of Glacier because it makes the data stored in it usable.

Amazon Glacier, is intended for data archiving and online backup, with storage costs of as little as $0.01 per gigabyte per month. It is optimized rarely accessed data where a recovering time of multiple hours is acceptable. In AWS re:Invent 2017, the new tool Glacier Select launched by AWS to execute queries right on data stored in Glacier, retrieving only the data you require out of your archives to utilize for analytics.

The data retrieval time takes hours in Amazon Glacier, a SQL query execute on the archive can get back data either as a bulk retrieval requires up to 12 hours, standard retrieval in 3-5 hours, or expedited retrieval taking 1-5 minutes. You're told when a query is complete with Amazon Simple Notification Service (SNS), and you can define the Amazon S3 bucket where you desire the output results to be saved.

Previously, if you needed to utilize the data saved in Amazon Glacier archive in any way you had to bring back the complete archive. The Select tool has an API which can be utilized to retrieve the corresponding data only for your query from the Amazon Glacier archive. Shortly, Amazon Glacier Select will integrate with Amazon Redshift Spectrum and Athena thus Glacier will become more integrated with the other data saved in Amazon storage.

Glacier Select can be used for operations such as auditing and pattern matching over huge amounts of data which is archived in Amazon Glacier. Like, Amazon Glacier Select can be utilized to search and retrieve only records equivalent to specific account or only billing data for a specific user.

New in Glacier:
Amazon S3 Glacier Deep Archive (available early 2019) is a new storage class that delivers the lowest cost of any storage service at $0.00099 per GB-month (less than one-tenth of one cent, or $1 per TB-month). With Amazon S3 Glacier Deep Archive, users who have huge data sets they need to maintain for a long time will be able to remove the cost and management of tape infrastructure while assuring that their data is expertly saved for future utilization and analysis. It is the ultimate service for archiving data, for example medical records, media archives, and regulated financial services data.

Amazon S3 Glacier allows any kind of business or company to easily and cost effectively keep data for any number of months, years, or decades. With Amazon S3 Glacier, Now users can keep their extensive data for future analysis or reference. 
To get more information, please connect with us at www.cloud.in

Thursday, 17 January 2019

How Can You Opt The Perfect Cloud Services For Your Business?

Cloud computing has lived from the origin of the internet, but only in past years it has become a buzzword. Any person who has used any gadget such as computer, tablet or smartphone from the previous decade is frequently handling cloud services. Any time when anybody is scrolling social media sites such as Facebook, Instagram, or attend streaming videos, or while using Gmail, or utilization of any mobile apps, we are retrieving information saved on the cloud. The common people has been faster to adopt cloud services compared to the business planet, largely because the information which organizations used to operate and expand their businesses is very sensitive.
 

Organizations took time to adaptation from in-house data and system management to Cloud Computing. Forrester Research report forecasted in 2017, that 50% of universal companies will depend on at minimal one public cloud platform by the end of 2018. Furthermore, the universal public cloud market will be evaluated at $178 billion and the market will only follow to expand. And now Cloud computing has become the future of Business World, and it looks like the future is started already. Organizations are using cloud services at large rate for valid purposes.
 

The features of Cloud Services are as below
• Reliable and Inexpensive
• Enhance Efficiency
• Offers Customized Solutions Depends On Business Requirements
• Removes Data Loss Chances
• Provides Speedy improvements and Current Technologies
• Universally Available
These Cloud Computing features for business are becoming conventional, but many organizations are new with the different types of cloud computing. Let’s see
 

How can you choose the right cloud services for your business?
There are plenty merger of cloud services to execute into your business, so it’s prime to go into the action with a strong master plan in head. Many of IT systems are giving external existence, picking the ideal cloud service suppliers for your business will be crucial for smooth progress and longer time of prosperity. Following are some steps to be considered :
 

1. Build A Cloud Plan
Your business is distinctive, so it has different requirements on the cloud. To make sure a supplier fulfills your demands, manage an analysis of their infrastructure, compliance policies, data security policies, growth executions and data grouping policies. Then you will realize that the supplier is suitable.
 

2. Consider The Ideal SLA
Ask for wrapping all your services in one monthly payment, which will move outstanding amounts of IT dollars to executions and make it simpler to handle your services at prime stages.
 

3. Check their security, then check again
Review the supplier’s risk management policies, audit compliance track and vulnerability analysis. Data Protection is everything that nobody can take it casually.
 

4. Observe The Work
Perhaps, it could be simple to migrate your data on cloud and forget about it, but if you want to make sure that your services do what they’re expected to, you’ve got to keep an eye on it. Being on peak of bandwidth challenges in specific to maintain your services operating flawless and productively.
 

In order to that, are there any pitfall to cloud computing?
The benefits of cloud computing is more significant than any potential drawbacks, yet a thing to be keep in mind that once your business decides the jump to cloud computing, you will demand to be ensure that your data is smoothly available and that you can opt new cloud service suppliers as you want. The faster rate of adapt and growth in technology means that new services and new suppliers come into picture on the cloud each time. If a preferable or more cheap solution for your specific requirements appears and you like to make a move, be assure that you have the potential to do it.


About Cloud.in
Cloud.in is an AWS Advanced Consulting Partner offers great solutions for migrations and have deep experience helping businesses move successfully to AWS in Media and Entertainment, such as Endpoint Data Protection, Backup & Archival, Solutions and many more. We offer a broad list of cloud advisory services to our clientele by leveraging industry best practices and in-depth technical expertise. Our Cloud Advisory Services are designed to define our client's cloud journey, migration roadmap and managed services.

Wednesday, 16 January 2019

Data Archival - Traditionally and with Cloud!


Data is an important and integral part of business. Data here can be in any form critical to the business and needs to be preserved as a compliance requirement. For example for a media company, maintaining specific versions of all the video files is essentials for a longer defined period of years typically 10 years or more! Requirement here is data to be archived and preserved. With the Cloud solutions in place, the way we maintain manage and process the data is changing rapidly. 

What Leads to Data Archiving ? 
The factors calling for organizations to archive data includes explosive growth of data quantities on corporate networks with the need to retain all of data for longer time in accordance with legal and corporate compliance requirements. This is considering reducing cost in possible ways by archival of data. 

Data Archival Traditional methodologies, Challenges and Problems : Traditionally data that is no longer actively accessed, but for compliance reasons required to retain would be stored in various ways. The methodologies used includes Data archiving on tapes or Hard drive based data archival. Choosing the right set of tools and software for backup would be a part of the process. 

Challenges and Problems : 
  • Challenges for the archival of data in traditional manner includes management of the tapes, shipping tapes at locations required, management of the tape drives. 
  • Procurement and management of the backup server and configuration and installation of the backup software. 
  • Creating the backup policies and maintaining the security for the data is also a responsibility. 
  • Retrieval of data is also a challenge in case of any hardware failures. 
  • The environment is not scalable, in case more storage capacity is required, hardware procurement has to be done. 

Leveraging Cloud Services for Archival & Benefits : 
People are today adopting Cloud Services for Data storage and archival. Cloud service providers like Amazon Web services provides a very secure, easy to use and a robust infrastructure platform for the use cases such as data storage and archival. The main concern with data is security; AWS ensures infrastructure security and provides number of features and services for designing the best possible solution. It also provides guidelines for security best practices one can employe in the solution. 

Benefits : 
  • Durability for data is 99.999999999% with Amazon S3 and Amazon Glacier.
  • AWS provides a number of options for access control and encrypting data in transit and at rest. 
  • AWS let’s you go Global with Infrastructure available across the globe. 
  • Data can be stored or backed up in the region as per your compliance requirement. 
  • AWS infrastructure is designed and managed in alignment with regulations to meet your compliance requirements, standards and best-practices including SOC, SSAE 16, ISO 27001, PCI DSS, HIPPA. 
  • AWS provides scalability for the infrastructure. 
  • It helps with Lower TCO, The AWS scale of operations drives service costs down and helps lower the overall TCO of the storage. AWS often passes these cost savings on to the customer. 
  • Management of any hardware or tapes is not required in case of Cloud.
  • Accessing data from multiple locations is possible for authorized users without any physical devices being shipped. 
  • No procurement process to be followed. With AWS storage scales with respect to the demand and capacity requirements. The environment is scalable. 
  • Data security can be ensured with all the features and services in place.
  • Retrieval for data is easy through available options like Console, CLI or APIs. There are different types of data retrieval policies that can be set. 

Due to above mentioned benefits, businesses are migrating to Low cost Cloud based archival solution for the expanding volume of data. Moving data into the cloud makes it more accessible and analytics can be done leveraging other Cloud services. 

To know more please contact www.cloud.in

Thursday, 10 January 2019

How Performance Problems Consequence Cloud Acquisition

Now, Cloud Computing is no longer a mystery in IT Profession. Besides, its frequently adapting the way IT services are offered. The inceptive oath of cloud computing was the ease of Internet service conveyance and of untangle service management. An ongoing challenge an Organization can experience is associated to how to incorporate cloud computing into their integrated business and IT strategy. It is obligatory to expand an organization cloud adoption strategy in sequence to improve and be competitive. Availability, Performance and Security are the basic problems encounters when consider the cloud adoption. The chance of data loss and legal problems because of security breaches is very high and most users and IT administrators are well known of it.

Many organizations prefer to adopt a federated cloud computing system, where some applications were based on public cloud, some on private cloud, and some legacy applications were accessible through VPN. The rational way to manage this volume of data is to have a performance management system that monitors the task of every applications.

Performance is generally associated to an application’s potentials inside the cloud system. Low performance can be caused by:
  • Limited Bandwidth;
  • Disk Space;
  • Memory;
  • CPU Cycles;
  • Network Connections, latency;
Frequently, the deficiency of proper resources heads towards low application performance. In some of situations, low performance is the outcome of an application architecture which does not satisfactorily distribute its processes over available cloud resources.

Performance problems in the system can strongly end a service conveyance. From the user perceptive, low performance and non-availability of service are the same. Users will never welcome slow performance – anyway of where the problem is. Low application performance causes companies to:
  • Lose Users
  • Decrease Employee Efficiency
  • Service Outage Issues
  • Lower Bottom Line Revenues
  • General Lost Productivity Problems

Application performance can differ particularly related to delivery domains. Organizations should guarantee that application performance is optimized when it is shifted from a data center to a cloud computing or it is written to take asset of the features of the cloud. You keep in mind that assuring the low performance level over the cloud could be challenging.

Capacity planning solves many performance difficulties when companies expand their cloud domains. Positive employee efficiency depends on solid and reliable application performance which will assist them finish work effectively and efficiently. Beyond capacity planning, scalability is the answer to raise and maintain application performance in the cloud. Smart application development can minimize performance problems by splitting resource-intensive processes from the other and allocating the proper assets to manage the load over virtual inside the same domain.

Many organizations have faith in shifting to private cloud is the answer to scaling problems. Internal private clouds inside an organization’s facility or dedicated cloud inside a data center have proven simpler to manage the resources. While, scaling to reach performance demands remains generally a manual method and needs observant monitoring and real-time response.

A Service Level Agreement for cloud can support in boosting performance because it includes an predicted range of availability and performance. Application and network performance should be a priority concern before shifting forward with other aspects; the data gathered from these components can be utilized to assign cloud computing performance edges. Also it is prior to change application performance in particular parameters which can be measured on the cloud provider’s system.

Final Thoughts 
Altogether, running in a cloud computing domain does not remove all of the application performance difficulties. Indeed, the cloud is and could perhaps present even more performance issues differentiating to non-cloud domains. The ongoing monitoring of all the applications accessed through the cloud is again a principal quest. This will guarantee that Service Level Agreements are met and – therefore – performance and scaling are at their optimum levels. 

About Cloud.in
Cloud.in is an AWS Advanced Consulting Partner offers great solutions for migrations and have deep experience helping businesses move successfully to AWS in Media and Entertainment, such as Endpoint Data Protection, Backup & Archival, Solutions and many more. We offer a broad list of cloud advisory services to our clientele by leveraging industry best practices and in-depth technical expertise. Our Cloud Advisory Services are designed to define our client's cloud journey, migration roadmap and managed services.

Thursday, 3 January 2019

How IT Security Enhanced Because of Cloud Computing!


Scalability, Flexibility, Financial and Improved workforce productivity are prominent measurable advantages of cloud computing. Additionally, without being affected by earlier concerns about the latent protection risks of cloud computing, deliberations about the cloud at many organizations are shifting away from the question of “Do we need to move?” to “Why we haven’t move earlier?” 

For some organizations, cloud computing and IT security don’t work jointly, and the outputs are frequently hazardous. Comparing the large amount of press which cloud computing gets when violations happen, it’s simple to comprehend why they accept that. But if you focus at IT security from an extensive point of view, you’ll notice that cloud computing technologies are precisely supporting to enhance IT security at costs never noticed before. 

Below are four points where cloud computing is driving IT security: 

Encryption Utilization – With all the data violations which has been happening over the last so many years in the private sector, governments, and with service suppliers, there is not any disclosure that cloud users are soberly worried about securing their data as it keeps in a third-party operated cloud. According to a latest Ponemon Institute study which polled more than 5,000 IT and business managers from different parts of the world, 41% said that encryption has been adopted extensively in their organizations. 

Remove third parties – The issues with third-party authentication is that it is costly and excessively centralized. An option to third-party authentication is known as blockchain – the verification system that digital currency Bitcoin depends on. With blockchain, you remove the requirement for a reliable third party and rather than depending on a distributed agreement method. It’s extremely secure and getting famous that IBM has recently announced it is putting a notable portion of its weight after it. 

Security as a Service – Today, the most hard issues facing organizations in terms of IT security is searching skilled expertise to execute and handle security tools. The cloud is supporting to transfer this issue from businesses by providing many security solutions like as malware, email, and Web security tools as cloud-based services. 

Verification developments – Big data can be used to “collect data from multiple sources, containing user behavior and device usage, to build a profile which is isolated to the account owner.” Once created, the profile can be utilized to monitor and notice potential harmful authentication tasks that would be exterior of the standard for that given profile. Not only will this type of verification be more secure, it will be practically transparent to the end-user. 

It is so transparent that everyone getting part of the cloud, both in our daily lives and for conducting business, and for many of us, data security and cloud security now go hand in hand. Security in the cloud has nothing to do with location, but with access protocols, testable firewalls and physical access to data. Whereas onsite IT domains might give the vision of an extended security, cloud apps are certainly the way to go. 

About Cloud.in 

Cloud.in is an AWS Advanced Consulting Partner offers great solutions for migrations and have deep experience helping businesses move successfully to AWS in Media and Entertainment, such as Endpoint Data Protection, Backup & Archival, Solutions and many more. Security is integral part of all Cloud.in offerings. We help you meet your Governance, Risk and Compliance (GRC) goals while lowering TCO. We provide monitoring, management, and reporting necessary to address various compliance requirements. Our security experts employ industry best practices and advance multi party solutions.

Thursday, 20 December 2018

Cloud Computing – A Leading Role in Media and Entertainment Field

Modifying customer fondness for content consumption, raised customer vulnerability to world related digital content, constant enhancements in content show technologies and hardware, and technological improvements in general; everything has turned the technique digital content is offered to customers.

Conventional broadcasting techniques and models are building way for more flexible, user centered, agile, inexpensive, and personalized models. YouTube and Netflix are only two of the various media and entertainment colossal of the current decade; there are closely hundreds of niche competitor, startups, and obligatory local broadcasting expertise who are updating their business models and delivery models to challenge in the fiercely competitive media and entertainment market.

Reasons running this Industry Level Change
Just at the fundamental of this mighty market shift is cloud computing. Supporting startups as well as set media and entertainment competitor handle industry disturbance, allowing them to revamp their business models, fueling immense developments in the delivery of high quality digital content, and offering plenty resources to collect, store and process big data to aid segment and focus the market effective, cloud computing is the pilot of development for the industry.

Cloud – A Transformer for Imperative Media Triumph Stories
Media and entertainment companies which were rapid adopters of cloud computing are also the ones with utmost viewership and market share currently. Netflix, for instance, was 100% on cloud in early 2012, and is among the largest customers of Amazon Web Services. 20th Century Fox is another example: the media massive partnered with HP to make its supply chain cloud authorized, and relocated traditional IT infrastructure and computing to cloud platforms.

Cloud Computing Supporting Broadcasters Handle Industry Level Disturbance
Broadcasters are faced with at least 3 remarkable disturbance which are making cloud computing a requisite more than an alternative. Customers are extra insistent than ever, and to be capable to provide options to them, broadcasters requirement the scalability of computing power that only cloud computing can offer. Audiences are broke into fragments and this alters the content fondness; broadcasters, thus, require flexibility in handling tangled business and interest models which assist them engage fragmented audiences.

Today, immense time pressures are a reality of the content delivery market. Broadcasters have to minimize rollout cycles to super short duration, minimize time to market of new content plans and experiences, and constantly enlarge the current stable of content. This agility and dynamism is allowed by cloud computing and is beyond the volume of the traditional server ownership model.

Every single day, price load in the media and entertainment markets are increasing, powered by elements like agile low price market competitor, maximizing values of content license and reducing technology life-cycles heading to costly IT hardware becoming outdated. To manage with these loads, broadcasters require to avoid at the front technology expenditures and related costs with incomes and cash flows. Accordingly, cloud computing's pay-as-you-go subscription model requests to this market.

Cloud Computing allowing Media Industry Holders to Rival With Agile OTT corrivals.
Nimble, Incline, low funding, and software related over-the-top (OTT) type corrivals are interrupting the marketplace for media and entertainment key competitor. The holders then have no choice but to change their delivery models in line with these potentials and objectives:

  • Extremely-fast speed to market, to rival with the nimble OTT competitors providing alike content
  • Scalability to nimble IT infrastructure to the differing requests for digital content services, to encash waves of demanding for particular content products
  • Storing and analyzing huge data to comprehend key principles of content personalization for particular target audiences, improve user experiences and encouraging one-to-one relationships with end users
  • Powering the service delivery advance machinery, allowing fast iterative experimentation and making sure that experimentation doesn't charge alot.

Cloud Computing Supporting Broadcasters Keep Future Set
The market progress for media and entertainment industry are reforming. Content delivery models, digital content products, and revenue models are undergoing transformation in sync with the requests of audiences and forces of technological developments. So how does cloud computing aid broadcasters handle the alter and keep apt?

End to end compatibility of ultra-rich content : Broadcasters are investing in rich content services which are related for delivery to all user devices, right from smartphones to tablets and hybrids. Cloud computing has a great role to play in allowing these media and entertainment colossus as well as dynamic new fresher to build exquisite rich content delivery models which are adaptable with any kinds of operating systems and devices.

Video on-demand services : Video on-demand services have presented a lot of user acceptance and faster adoption, that will take broadcasters towards maturing their products around the same. By leveraging flexible and scalable cloud computing technologies, media industry competitors stand to discern practical on-demand content delivery models and get the next wave of adopters on-board.

Live content coverage : The upcoming large thing in terms of product category for entertainment market competitors is coverage of live events. End fences in the market will avert broadcasters from funding in particular equipment for live event coverage, that means their IT resourcing requirements will be satisfied by the more inexpensive and low funding-intensive cloud computing platforms.

Video Delivery from B2C to B2B : Video delivery is probable to get outdated as a Business, and will achieve the level of a business function which cuts over businesses. Cloud computing will support broadcasters mutate or turn off their video delivery B2C business into a B2B business.

Tapeless workflow : Tapeless workflow has been an affirmative business case which is been buzzing in production and delivery markets from some time now. Cloud computing includes the potentials to make this model a reality, where all things in the media and marketing content building cycle (from production to delivery) will be handled across the cloud.

Final Words
Without an exception, cloud computing has been the only extensive enabler for the media and entertainment business in the past 5 years, and will pursue to be the pilot of alter and enhancements for further 5 years. Due to its scalability, flexibility and affordability, it's improbable that any other technology which is not an offset of cloud computing can replace this platform.

About Cloud.in
Cloud.in is an AWS Advanced Consulting Partner offers great solutions for migrations and have deep experience helping businesses move successfully to AWS in Media and Entertainment, such as Endpoint Data Protection, Backup & Archival, Solutions and many more.

Thursday, 13 December 2018

Why to choose Cloud Hosting over Traditional Hosting ?

previously, people would operate applications or programs from software downloaded on a physical computer or server in their premises, cloud computing grants people access to the same kinds of applications through the internet. ‘Migrating to cloud’ is the new trend which is achieving importance day by day. Why are so many businesses migrating to the cloud? The answer is that cloud computing improves efficiency, helps to grow cash flow and gives so many features. Let’s endeavor and perceive why Cloud Hosting becomes dominant for everyone to be moving to the cloud.

What is migrating to cloud? 
In simple words, cloud is rapidly becoming the new need in every kind of businesses. In short terms, migrating to cloud is moving your data, applications, email or software to cloud hosting where it is accessible from anywhere across the world. Few examples of cloud applications in our daily lives – Checking your bank balance on your phone; When you update your any Social Media status, you’re using cloud computing. Cloud builds applications available anywhere on the go and it makes our daily lives more expedient, and it definitely can do remarkable for your business.

Why business requires to migrate to cloud?

  • To encounter growing hosting needs of the customers.
  • To offer simple solutions and more developed hosting domains for the developing business requirements.
  • To overcome the flaws of traditional hosting.
 
Why go for cloud hosting over traditional hosting?

1. Flexibility
Cloud-based services are flawless for businesses with expanding or varying bandwidth requirements. If your requirements maximizes; it’s simple to raise your cloud capacity, drawing on the service’s remote servers. Further, if you want to scale down again, the flexibility is baked into the service. This stage of agility can give businesses with the cloud computing a factual benefit across competitors.

2. Disaster Recovery
Today, more and more companies are choosing safety and cost-efficiency over outdated backup solutions. Overall, planning disaster recovery in the cloud is a wise decision. Any size of Businesses should be funding in robust disaster recovery, but for small-scale businesses that shortage the essential fund and expertise, this is frequently more an perfect than the actuality. Now, Cloud is supporting many organizations oppose that trend.

3. Automatic Software Updates
The asset of cloud computing is that the servers are off-premise, out of sight and out of your hair. Providers take care of them for you and roll out uniform software updates – containing security updates – so you don’t have to bother about wasting time keeping the system yourself. It keeps you free to target on the things that matter, such as expanding your business.

4. Capital-Outlay Free
Cloud computing reduces the high cost of hardware. You merely pay as you go and take a pleasure of a subscription-based model which is kind to your fund flow. Besides, the ease of setup and management and instantly your formidable, dicey IT project seems at lot approachable.

5. Enhanced Collaboration
When your teams can access, edit and share documents anytime, from anywhere, they’re able to do more together, and do it better. Cloud-based workflow and file sharing apps help them make updates in real time and gives them full visibility of their collaborations.

6. Independence of Location
Traditional hosting servers are limited to a fixed place and hence, you require to be certain while selecting your server as the location of server acts a inordinate part in loading speed of a website. Whereas cloud hosting servers are available over the globe. They are obtainable globally through an internet connection and with any device-PC or mobile.

7. Document Control
The additional employees and partners unite on documents, the greater the want for watertight document control. Before the cloud, employees had to send files back and forth as email attachments to be worked on by one user at a time. And as even the smallest companies become more global, the scope for complication rises. When you decide the migrate to cloud computing, all files are stored centrally and everyone access one version of the truth.

8. Security
In traditional hosting you share the resources and CPU requires with other websites on the same server or keep a private dedicated server to secure sensitive data which costs too high. Cloud hosting offers such an infrastructure that secures your data at different levels-network, data, application and physical security. Cloud service providers assures data protection through customer’s identity management, proper data isolation and storage separation, secure and encrypted solutions, firewalls and backup recoveries.

9. Competitiveness
Migrating to the cloud provides access to enterprise-class technology, for all. It also offers smaller businesses to act faster than large, established competitors. Pay-as-you-go service and cloud business applications mean small outfits can execute with the big boys, and disrupt the market, while staying incline and agile.

10. Environmentally Friendly
Above 9 points notifies the advantages of cloud computing for your business, migrating to the cloud isn’t an completely thoughtless action. When your cloud requires alter, your server capacity scales up and down to set. So you only use the energy you require.

Not decided to migrate to the cloud yet? 
Any of the above feature would be enough to assure many businesses to migrate their business into the cloud. But when you consider all of them? This is why Cloud.in offers cloud computing, all of our solutions are entirely cloud-based.

About Cloud.in
Cloud.in is an AWS Advanced Consulting Partner offers solutions for migrations and have deep experience helping businesses move successfully to AWS, through all phases of complex migration projects, discovery, planning, and operations.

Thursday, 6 December 2018

“6R” Strategies for Migration to the AWS Cloud System

Every scale companies have now entirely aware of the advantages of the Cloud. There are so many causes why companies/users are migrating to the cloud; like some are migrating to the cloud to maximize the productivity of their workforce. And of course, the base line for organizations are to reduce reducing their costs. But the basic one reason they adopt to migrate to the cloud is the agility and speed which they can relocate with. With respect to this benefit, many organizations are now approaching towards the cloud migration. The AWS Cloud offers you 90+ services at your fingertip such as compute, storage, and databases to continuous integration, data analytics, and artificial intelligence and many more. The benefit of migrating to the AWS Cloud are expand in your competitive edge, drive business value, and modernize your infrastructure. AWS has entire developed framework combined with the perfectly successful practices to productive strategies and run your migration to the Cloud system. It’s various frameworks operating from the system such as:

  • AWS Cloud Adoption Framework (AWS CAF)
  • AWS Migration Acceleration Program (MAP)
  • AWS Migration Hub
  • AWS Application Discovery Service
So if you are ready to revolutionize the way of your business runs then this is when you determine what is in your environment and the migration plans for any application. The “6R” strategies mentioned below are basic migration approaches employed and created based on “The 5 R’s” that Gartner outlined in 2011. You should obtain a complete comprehension of which migration strategy will be top suited for particular portions of your portfolio. The point to be consider is that one of the strategy may be best for migrating particular applications and other strategy might work better for migrating different applications. The 6 Common Application Migration Strategies are

1. Rehost (“lift and shift”)
Rehosting can be automated with tools such as AWS SMS however you may choose to do this manually as you know how to apply your legacy systems to the cloud. The applications are easier to re-architect which are already executing in the cloud. The full Rehosting can be handled and automated along with the tools of executing AWS VM Import/Export that helps the customers to choose the complete manual system of application to the new cloud platform.

2. Replatform (“lift, tinker and shift”) 
Big organizations work along with the migrated web servers for managing the on-premises of the AWS system without changing the core architecture of the application. For example, you may be looking to minimize the amount of time you consume managing database instances by relocating to a managed RDS such as Amazon Relational Database Service (RDS), or migrating your application to a complete managed platform like AWS Elastic Beanstalk.

3. Repurchase (“drop and shop”)
The repurchasing may be seen as a SaaS platform. This is a option to relocate to a disparate product and likely means your organization is willing to alter the current licensing model you have been using.

4. Refactor / Re-architect 
With this system, the application is architected and developed. Typically, this is driven by a strong business requirement to annex features, scale, or performance that would otherwise be tough to get in the application’s current environment.

5. Retire 
Once you’ve completely understood everything about the business, now you can stop the functioning business. recognizing IT assets that are no longer functional and can be turned off will aid upgrade your business case and straight your notice towards maintaining the resources that are extensively used.

6. Retain 
The entire business gets maintained here completely and effectively. You may want to keep portions of your IT portfolio because there are some applications which you are not ready to move and feel more comfortable keeping them on-premises, or you are not ready to prioritize an application that was recently boosted and then make changes to it again.

You can migrate your application to the AWS cloud and minimize capital costs, reduce support and administrative costs, and maintain the performance, security, and reliability needs your business demands with low cost and efforts. Many enterprises are migrating applications to the cloud to modernize their current IT asset base or to construct for future requirements.

About Cloud.in 
Cloud.in is an AWS Advanced Consulting Partner offers solutions for migrations and have deep experience helping businesses move successfully to AWS, through all phases of complex migration projects, discovery, planning, and operations.

Wednesday, 28 November 2018

Self-Service Updates for domains annexed by the Amazon Elasticsearch Service

Amazon Elasticsearch is an open-source search and analytics engine for use cases like log analytics, real-time application monitoring, and clickstream analysis. Amazon Elasticsearch Service (Amazon ES) is a organized service which makes it simple to deploy, run, and scale Elasticsearch clusters in the AWS Cloud. You get direct access to the Elasticsearch APIs; existing code and applications work smoothly with the service of Amazon Elasticsearch Service. It delivers all the resources for your Elasticsearch cluster and starts it and by default finds and replaces failed Elasticsearch nodes, minimizing the overhead linked with self-managed infrastructures. You can scale your cluster with a one API call or a few clicks in the console. Amazon Elasticsearch Service provides integrations with other open-source tools such as Kibana and Logstash for data absorbing and visualization. It also integrates smoothly with other AWS services like Amazon Virtual Private Cloud (VPC), AWS Lambda, AWS IAM, Amazon CloudWatch, and many more which helps you access from data to actionable insights faster and safer.

Amazon Elasticsearch Service frequently announces system software updates which further add features or enhance your domains. Now Amazon ES launched self-service updates, offering you the flexibility to control when to update your domains. In just one click you can update your domain. Amazon Elasticsearch Service is accessible in 16 regions across the globe : AWS GovCloud (US-West), US East (N. Virginia, Ohio), US West (Oregon, N. California), Canada (Montreal), South America (Sao Paulo), EU (Ireland, London, Frankfurt, Paris), and Asia Pacific (Singapore, Sydney, Tokyo, Seoul, Mumbai). By default, it will automatically update your domains after the date and time specified in the update, if you do not perform any action. To check if an update is available, refer your console.

Tuesday, 27 November 2018

New sam build command introduced by AWS SAM

The AWS Serverless Application Model (SAM) is an open-source layout for creating serverless applications. AWS SAM offers shorthand syntax to show functions, APIs, databases, and event source linkings. You can describe the application you require and model it with the YAML by only few lines per resource. While execution, AWS SAM converts and widens the SAM syntax into AWS CloudFormation syntax, allowing you to create serverless applications quicker.

The AWS SAM CLI is a command line tool which runs on an AWS Serverless Application Model template and application code. You can call Lambda functions locally, build an execution package for your serverless application, execute your serverless application to the AWS Cloud with the AWS Serverless Application Model Command Line Interface. With the utilization of AWS SAM CLI commands, you can build, test, and deploy your serverless applications to the AWS Cloud.

Now sam build command can utilize to compile deployment packages for AWS Lambda functions inscribed in Python Language with the help of AWS Serverless Application Model (AWS SAM) Command Line Interface (CLI). This new sam build command allows you to seamlessly build deployment artifacts which object AWS Lambda's performance domain. This sam build command allows the functions you create locally to execute in a homogeneous in the cloud. This command iterates via the functions in your application, looks for a manifest file like requirements.txt which includes dependencies, and automatically creates deployment artifacts that you can deploy to Lambda with the sam package and sam deploy commands.

Monday, 26 November 2018

Faster performance by AWS CodePipeline assists further Pipeline actions each phase

AWS CodePipeline is quite organized continuous delivery service which offers you to automate your release pipelines for swift and reliable application and infrastructure updates. There is a code modification related to the release model you describe when CodePipeline automates the build, test, and deploy stages of your release process each time. AWS CodePipeline allows you to quickly and reliably provide features and updates. AWS CodePipeline is compatible with third-party services like GitHub or with your personal custom plugin. It permits you to model the disparate phases of your software release process using the console interface, the AWS CLI, AWS CloudFormation, or the AWS SDKs. AWS CodePipeline automates your software release process, permitting you to quickly release new features to your users. And with this, you can swiftly iterate on feedback and get new features to your users quick.

Your pipelines will operate brisker so you will get build and check solutions earlier and you can iterate faster on more features due to the decreased time in between pipeline tasks of AWS CodePipeline. These tasks are like creating code or deploying to a region. Formerly, the basic limit was of 20 total tasks each phase containing limits of 10 for both sequential and equivalent tasks. Now, this AWS CodePipeline lifted the standard limit on actions each phase to 50 for all action types. The newly added limits allows you to create more tangled pipelines without troubling about limits on the number of tasks each phase. There is no additional charges or long-term commitments with AWS CodePipeline, you just need to pay other resources what you use. Each current and new pipelines in all region is accessible where AWS CodePipeline is available.

Centralized Log Management_ On-Premises vs AWS

Introduction Logs provide valuable information about system activity, application errors, security events, and infrastructure performance. A...