Thursday, 5 December 2019

Inter-Region Peering offered by AWS Transit Gateway

AWS Transit Gateway is a network transit hub which allows users to link their Amazon VPC and their on-premises networks to one gateway. While you increase the number of workloads executing on AWS, you require to be able to scale your networks over several accounts and Amazon VPCs to move in progress. AWS Transit Gateway operates as a core which manages how traffic is directed between every linked networks which act like spokes. This hub and spoke model crucially clarifies management and minimises operational costs because every network only has to link to the Transit Gateway and not to all other network. Now AWS Transit Gateway assists the potential to initiate peering connections between Transit Gateways in different AWS Regions. Users just need to build and control one connection from a central regional gateway to all Amazon VPC, on premises data centre, or remote office across their networks with AWS Transit Gateway. The potential to peer Transit Gateways among multiple AWS Regions allows users to expand this connectivity and create global networks bridging several AWS Regions. AWS Transit Gateway inter-region peering permits users to direct traffic over AWS Regions using the AWS global network. Inter-region peering offers an easy and cost-effective way to share resources between AWS Regions or copy data for geographic redundancy. Inter-region Transit Gateway peering encrypts inter-region traffic with no single point of failure. This Inter-region Transit Gateway peering feature is accessible in US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), and EU (Frankfurt) AWS Regions. To know the AWS Transit Gateway pricing details, refer pricing. And to read more about AWS Transit Gateway, go through the documentation and product page

Wednesday, 4 December 2019

AWS launched new feature EC2 Image Builder

AWS launched new feature called EC2 Image Builder. EC2 Image Builder clarifies the creation, maintenance, validation, sharing, and deployment of Linux or Windows Server images for utilisation with Amazon EC2 and on-premises. Amazon Web Services (AWS) introduces the accessibility of EC2 Image Builder, a service which makes it simple and swift to design and maintain secure images. Image Builder crucially minimises the effort of retaining images up-to-date and safe by offering an easy graphical interface, built-in automation, and AWS-provided security settings. With Image Builder, there are no manual steps for updating an image nor do you have to build your own automation pipeline. Now, users can either manually update and snapshot VMs or have teams that create automation scripts to keep images. Image Builder is available at no cost, except the cost of the AWS resources used to create, store, and share the images. This EC2 Image Builder feature is obtainable in each AWS regions. To read further about this, refer the EC2 Image Builder

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.

Monday, 2 December 2019

Amazon Athena provides assistance for User Defined Functions (UDF)

Amazon Athena is an interactive query service which makes simple to study data straight in Amazon S3 with the help of standard SQL. You do not need to handle any infrastructure as Amazon Athena is serverless. Athena is simple to utilize. Simply point to your data in Amazon S3, specify the schema, and begin querying using standard SQL to execute ad-hoc queries and you will get results within seconds with few clicks in AWS management console. There is no necessity for complex ETL jobs to make your data for analysis with Amazon Athena. This makes it simple to SQL expertise to faster explore large-scale datasets. Now Amazon Athena offers new feature i.e. user-defined functions (UDFs), a feature which allows users to write custom scalar functions and call them in SQL queries. While Amazon Athena presents built-in functions, UDFs allow users to execute custom processing like compressing and decompressing data, redacting sensitive data, or applying customized decryption. Using Athena Query Federation SDK users can write their UDFs in Java. When a UDF is used in a SQL query submitted to Athena, it is called and performed on AWS Lambda. UDFs can be utilized in both SELECT and FILTER clauses of a SQL query. Users can call several UDFs in the same query. This new Athena UDF feature is accessible in Preview mode in the us-east-1 (N. Virginia) region. You can follow these steps to start your Preview. To know more on User Define Functions (UDF), read documentation. You can get UDF example implementations here. And to know further how to write your functions with Athena Query Federation SDK, go through this link.

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

Thursday, 28 November 2019

Amazon QuickSight introduces themes, conditional formatting

Amazon QuickSight is completely organised quick, cloud-powered business intelligence service which is simple to provide insights to all in your organisation. Amazon QuickSight allows you simply design and broadcast interactive dashboards which covers ML Insights. You can acquire dashboards from any device, and embedded into your applications, portals, and websites. Amazon QuickSight lets you to provide each person access to the data they require, while just paying for what you utilise according to Pay-per-Session pricing. Now Amazon QuickSight permits you to add themes and customisation equivalent to your corporate branding or application look and feel. Themes let creator of QuickSight dashboards to modify their selected background, text, data, and gradient colours and also spacing and borders of visuals. Go through this documentation to know about themes in Amazon QuickSight. Additionally, Amazon QuickSight also assists conditional formatting in tables, pivot tables and KPI charts. You can modify text and background colours depends on field values in the dataset, with solid or gradient colours. Further you can show data values with a set of assisted icons depends on applied conditions. Read this documentation to know further on conditional formatting in Amazon QuickSight. Now these all features are accessible in Enterprise Edition and Standard Editions in every Amazon QuickSight AWS Regions - US East (N. Virginia and Ohio), US West (Oregon), EU (Frankfurt, Ireland and London), and Asia Pacific (Seoul, Singapore, Sydney and Tokyo).

Wednesday, 27 November 2019

Amazon Redshift Spectrum introduces in 5 more AWS regions

Amazon Redshift Spectrum is a feature of Amazon Redshift that expands analytics to data saved in your Amazon S3 data lake, excluding the need of loading or transforming data. You can easily set up, automates majority of your administrative activities, and gives quick performance at any scale. Amazon Redshift Spectrum helps open data formats, like Parquet, ORC, JSON, and CSV. Further it also assists querying nested data with complex data types like struct, array, or map. You can query data over Redshift and Amazon S3 to get specific insights which are not feasible to get by querying independent datasets. You can execute analytic queries against petabytes of data saved locally in Redshift, and straight against exabytes of data saved in Amazon S3. Now this Amazon Redshift Spectrum feature is available in 5 more AWS Regions – EU (Paris, Stockholm), Middle East (Bahrain), Asia Pacific (Hong Kong), and the AWS GovCloud (US-West) Region. With these new 5 regions, Amazon Redshift Spectrum is accessible in 19 AWS Regions across the globe : US East (N. Virginia, Ohio), US West (Oregon, N. California), AWS GovCloud (US West), Canada (Central), South America (Sao Paulo), Middle East (Bahrain), EU (Frankfurt, Ireland, London, Paris, Stockholm), and Asia Pacific (Hongkong, Mumbai, Seoul, Singapore, Sydney, Tokyo). To get further information on Amazon Redshift Spectrum, read documentation.

Inter-Region Peering offered by AWS Transit Gateway

AWS Transit Gateway is a network transit hub which allows users to link their Amazon VPC and their on-premises networks to one gateway. W...