Showing posts with label Amazon CloudWatch. Show all posts
Showing posts with label Amazon CloudWatch. Show all posts

Monday, 11 January 2021

Critical Importance of DRaaS for your Business for Now and the Future

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It is a pattern which repeats itself year after year. From monsoons to floods to earthquakes, disasters are common to India. A 2018 UN report estimated that India has been among the top five countries with disaster-related economic losses of more than $79.5 billion in the last twenty years. India is also the 14th most vulnerable country in the world, according to the 2019 Global Climate Risk Index report.

Given this context, a robust disaster recovery process is absolutely vital, as the survival of the organization depends on it. In the current times, this is even more critical, as the Covid 19 crisis has enforced many more limitations with respect to physical access. Hence, irrespective of the size, every organization today needs a digital component. The cost of downtime in a digital age can be disastrous as it can shut down the ability of the business to deliver services to its end customers.

Traditional DR involves a huge number of steps, and is not only expensive, but also complex to execute. Firstly, setting up an alternate DR site requires enterprises to invest in acquiring the required space and the associated infrastructure (power, cooling, IT equipment) and manpower. Configuring the required infrastructure is also a complex process, as every component of the infrastructure has to be ready for deployment. This requires testing networks, software, hardware and applications. Data backup is also a tedious process. For example, if the backup medium is tape, then the tapes have to be delivered to the secondary DR site in the event of a disaster. Further, applications have to be patched with the latest updates and the network has to be configured to match the required specifications (firewall rules, authentication, DNS settings). Even if there is a small failure in one of the steps, then it stalls the entire recovery process. In the goal towards achieving DR compliance, organizations choose the DR strategy depending on the business risk. For example, the faster the recovery time needed, the more expensive is the solution. If the recovery time is slower, the cheaper is the solution. Hence, there is always a trade off between the benefit and the cost

How DRaaS can help?

Thanks to the cloud, DRaaS has emerged as a powerful option. DRaaS can help enterprises
overcome all the issues that are present with traditional DR.
Here is how

1. Faster recovery time: 

Faster recovery time


IT infrastructure components such as the operating system, application data and related patches can be quickly copied to the offsite DR site and be made live in a shorter period of time.

2. Efficient recovery: 


As every process is automated, replication is extremely efficient when compared to manual processes, which can have the probability of errors. Further, due to lower costs, organizations can test the reliability of their DR process more often, than they could have done using a traditional process. As the frequency of testing increases, it increases the accuracy, as organizations understand the gaps in their process, and can also determine the time taken for gauging how quickly critical workloads can be recovered in case of a disaster.

3. Lower TCO:














A pay-per-use model allows enterprises to pay only for actual usage. Enterprises only have to pay when data transfer takes place between the primary and
secondary site.

4. Lower upfront investment:















The cloud has levelled the playing field for even smaller organizations, as there is zero capital investment, and an enterprise has to only pay when the cloud option is used

5. Anywhere access:














The ability to access information from any part of the globe gives DRaaS a massive advantage. As the information is stored in the cloud, a DR process can be fired from anywhere in the world by just using a smartphone or a laptop. This is of huge advantage in the current situation, where organizations have been forced to cut down their manpower visiting their data centers. Today, DRaaS gives organizations the capability to shift the operations to a remote DR site quickly.


In an environment that demands an always-on infrastructure, DRaaS is a must have option today, as it gives enterprises the confidence and the ability to bounce back quickly in case of any disaster.


Wednesday, 15 January 2020

CloudWatch control metrics now upheld by Amazon Cognito

Amazon Cognito now upholds the CloudWatch Usage Metrics which makes it easier for the administrators to supervise, report and take necessary actions in case of an event in the real-time period. AWS users can create CloudWatch dashboards for Amazon Cognito log in and register metrics and they can create CloudWatch alarms to administrate definitive metrics. This feature is accessible by Amazon Cognito User Pools at no additional expenditures. CloudWatch assembles metrics that track the usage of various AWS resources. These metrics complement the AWS service quotas. Tracking these metrics can be helpful in proactively managing the quotas. Amazon Cognito User Pools equip a secure user directory that scales to a vast number of users. As a completely managed service, User Pools give an identification and authentication layer to the applications. Cloudwatch Metrics is accessible in all regions where Amazon Cognito functions. Users can utilize the CloudWatch metrics mathematical functions to display the service quotas for the resources on the graphs. Service Quotas is an AWS service that enables viewing and managing quotas from a central location.

Friday, 27 December 2019

Now Amazon Lex offers assistance for Conversation Logs

Amazon Lex is an entirely organised service for creating conversational interfaces into any application with voice and text. Amazon Lex gives the advanced deep learning functionalities of automatic speech recognition (ASR) for translating speech to text, and natural language understanding (NLU) to identify the intent of the text, to allow you to design applications with extremely occupying user experiences and realistic conversational interactions. Amazon Lex controls the dialogue and dynamically modifies the responses in the conversation. The deep learning technologies that control Amazon Alexa are now accessible to any developer, allowing you to fast and simply create sophisticated, natural language, conversational bots (“chatbots”). Now Amazon Lex assists the potential to keep chat history. Now, you can configure logging of audio input to an S3 bucket and text input to CloudWatch Logs. Previously, you had to write custom logic to record interactions. You can right awy allow audio and text logging for your Lex bot using Conversation Logs. To secure sensitive data captured as slot values, you can activate slot obfuscation to mask those values for logging. Additionally, the input transcript, the logs holds data like matched intent and missed utterances. Conversation Logs allows you to observe bot interactions, explore conversations for constant upgrade, and record chat history for auditing. Now Conversation Logs is accessible in the US East (N. Virginia), US West (Oregon), EU West (Ireland), and Asia Pacific (Sydney) AWS Regions. To read more further information, read documentation.

Thursday, 12 December 2019

Amazon FSx includes enhancements to the AWS Management Console

Amazon FSx offers completely organised third-party file systems. Amazon FSx gives you with the native compatibility of third-party file systems with feature assigns for workloads like Windows-based storage, high-performance computing (HPC), machine learning, and electronic design automation (EDA). Amazon FSx offers you with two file systems to select from: Amazon FSx for Windows File Server for Windows-based applications and Amazon FSx for Lustre for compute-intensive workloads. You don’t have to concern about controlling file servers and storage, as Amazon FSx automates the lengthy administration activities like hardware provisioning, software configuration, patching, and backups. Amazon FSx integrates the file systems with cloud-native AWS services, creating them extra functional for a wider range of workloads. Now Amazon Fsx has included various improvements to the AWS Management Console, covering the potential to outlook Amazon FSx CloudWatch metrics and the power to add and update tags straight from within the Amazon FSx Console. Amazon CloudWatch can utilise to observe the action of your Amazon FSx file systems. Now Amazon FSx Console shows a CloudWatch dashboard and also an alarms for Amazon FSx, and contains a link to the CloudWatch Console for further choices. You can utilise tags to classify and arrange your file systems and backups. Earlier accessible through the API, now updating tags is allowed in the Amazon FSx Console, giving further choices for handling your file system's tags. Now Amazon FSx Console enhancements are obtainable in each regions where Amazon FSx is accessible. Read Amazon Fsx to know more.

Tuesday, 3 December 2019

Now Amazon CloudWatch Metrics assisted by Amazon VPC Traffic Mirroring

Amazon Virtual Private Cloud (Amazon VPC) allows you to initiate AWS resources into a virtual network which you have described. This virtual network strongly looks like a traditional network which you'd run in your own data centre, with the advantages of utilising the scalable infrastructure of AWS. And Traffic Mirroring is a feature of Amazon VPC that you can utilise to clone network traffic from an elastic network interface of Amazon EC2 instances. You can then send the traffic to out-of-band security and monitoring appliances for:
  • Content inspection
  • Threat monitoring
  • Troubleshooting
Now you can use Amazon CloudWatch to observe metrics linked with VPC Traffic Mirroring. You can gather data like amount of traffic mirrored or not mirrored on your network interface which is a component of a traffic mirror session and creates readable, near real-time metrics. And this information can be used to observe and troubleshoot Traffic Monitoring. Additionally you can enable CloudWatch Alarms to get notifications on any metrics crossing pre-defined thresholds. To begin with these metrics, refer Monitoring Mirrored Traffic Using Amazon CloudWatch. And to know in detail on Amazon CloudWatch, go through the Amazon CloudWatch User Guide and for pricing see Amazon CloudWatch Pricing. Read this documentation to know further about Amazon VPC Traffic Mirroring.

Friday, 29 November 2019

Now AWS Chatbot helps executing commands from Slack (beta)

AWS Chatbot is an interactive AWS service agent which makes it simple to observe and communicate with your AWS resources in your Slack channels and Amazon Chime chat rooms. You can get alerts and execute commands to return diagnostic data, call AWS Lambda functions, and produce AWS support cases so that your team can cooperate and answer to events immediately using AWS Chatbot. AWS Chatbot handles AWS service notifications from Amazon SNS, and sends them to Amazon Chime and Slack chat rooms so teams can examine and take action on them straight away, no matter of location. Now AWS Chatbot assists executing AWS commands and tasks from Slack. AWS Chatbot guides commands with the help of common AWS Command Line Interface (AWS CLI) syntax that you can use from Slack on desktop or mobile devices. Additionally by executing commands, you can fetch Amazon CloudWatch logs by only selecting the “Show logs” button on CloudWatch Alarms notifications in Slack. AWS Chatbot helps tasks for showing logs for AWS Lambda and Amazon API Gateway. To begin with commands, configure AWS Chatbot with Slack in the AWS Chatbot console with the predefined IAM policy templates and type “@aws help“ in the Slack channel. If you already utilize AWS Chatbot for sending notifications to Slack, you will require to design a new IAM role or update the current one with more permissions to activate executing commands. You can check blog post that gives you a step-by-step guide to assists you begin with executing commands in AWS Chatbot. To get the further information on AWS Chatbot, refer documentation

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