Amazon Kinesis Data Firehose is now available in the AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD. Amazon Kinesis Data Firehose is the easiest way to load streaming data into data stores and analytics tools. It can capture, transform, and load streaming data into Amazon S3 and Amazon Elasticsearch Service, enabling near real-time analytics with existing business intelligence tools you are already using today.
AWS CodePipeline Now Supports Deploying to Amazon S3
AWS CodePipeline is a fully managed continuous delivery (CD) service that lets you automate your software release process for fast and reliable updates. You can now use CodePipeline to deploy files, such as static website content or artifacts from your build process, to Amazon S3.
AWS Secrets Manager Announces Service Level Agreement
We have published a service level agreement (SLA) for AWS Secrets Manager . We will use commercially reasonable efforts to make AWS Secrets Manager available with a Monthly Uptime Percentage for each AWS region, during any monthly billing cycle, of at least 99.9% (the “Service Commitment”). In the event AWS Secrets Manager does not meet the Service Commitment, you will be eligible to receive a Service Credit as described in the AWS Secrets Manager Service Level Agreement .
Deploy Micro Focus Enterprise Server on AWS with New Quick Start
This Quick Start automatically deploys Micro Focus Enterprise Server into a new or existing virtual private cloud (VPC) on the Amazon Web Services (AWS) Cloud in about 1 hour and 15 minutes. The Quick Start includes an optional BankDemo demonstration application for testing the deployment.
Amazon EKS Announces 99.9% Service Level Agreement
AWS has published a service level agreement (SLA) for Amazon Elastic Container Service for Kubernetes (EKS), which provides availability guarantees for Amazon EKS.
AWS will use commercially reasonable efforts to make Amazon EKS available with a Monthly Uptime Percentage, during any monthly billing cycle, of at least 99.9% (the “Service Commitment”). In the event Amazon EKS does not meet the Service Commitment, you will be eligible to receive a Service Credit as described in the Amazon EKS Service Level Agreement .
This SLA is now available in all regions where Amazon EKS is available. For more information on where Amazon EKS is available, see the AWS region table . Please visit our product page to learn more about Amazon EKS.
Amazon ECR Announces 99.9% Service Level Agreement
AWS has published a service level agreement (SLA) for Amazon Elastic Container Registry (ECR), which provides availability guarantees for Amazon ECR.
AWS Trusted Advisor Expands Functionality With New Best Practice Checks
AWS Trusted Advisor is an application that draws upon best practices learned from AWS’ aggregated operational history of serving millions of AWS customers. Trusted Advisor inspects your AWS environment and makes recommendations for saving money, improving system performance, and closing security gaps.
Recently, AWS Trusted Advisor has released nine new checks to help keep you operating efficiently, securely, and up-to-date with AWS best practices.
- DynamoDB Read Capacity: Checks for usage that is more than 80% of the DynamoDB Provisioned Throughput Limit for Reads per Account.
- DynamoDB Write Capacity: Checks for usage that is more than 80% of the DynamoDB Provisioned Throughput Limit for Writes per Account.
- Route53 Hosted Zones: Checks for usage that is more than 80% of the Route 53 Hosted Zones Limit per account.
- Route53 Max Health Checks: Checks for usage that is more than 80% of the Route 53 Health Checks Limit per account.
- Route53 Reusable Delegation Sets: Checks for usage that is more than 80% of the Route 53 Reusable Delegation Sets Limit per account.
- Route53 Traffic Policies: Checks for usage that is more than 80% of the Route 53 Traffic Policies Limit per account.
- Route53 Traffic Policy Instances: Checks for usage that is more than 80% of the Route 53 Traffic Policy Instances Limit per account.
- ENA Driver Version for EC2 Windows Instances: Checks the version of the ENA driver for Amazon EC2 Windows instances, and then alerts you if the driver (a) is deprecated and no longer supported; (b) is deprecated with identified issues; or (c) has an available upgrade.
- NVMe Driver Version for EC2 Windows Instances: Checks the version of the NVMe driver for Amazon EC2 Windows instances, and then alerts you if the driver (a) is deprecated and no longer supported; (b) is deprecated with identified issues; or (c) has an available upgrade.
AWS strives to continuously add more checks to allow you to ensure operational health and optimal performance. For a full set of Trusted Advisor Best Practice Checks, click here.
Object Bounding Boxes and More Accurate Object and Scene Detection are now Available for Amazon Rekognition Video
Amazon Rekognition Video is a deep learning-based video analysis service that can identify objects, people, text, scenes, and activities, as well as detect unsafe content. Object and Scene detection – also called label detection – can identify thousands of common objects and scenes in a video, as well as the timestamp for when each label appears. Amazon Rekognition Video has been updated to provide significantly improved accuracy for all existing labels across a variety of use cases. In addition, label detection can now specify the location of objects such as dogs, people, and cars in a video by returning bounding box for each object. A bounding box is a set of coordinates that precisely indicates a specific object location in a video frame. Customers can use the bounding box information to count objects (“3 cars”), and to understand the relationship between objects (“person next to a car”) at a particular timestamp in a video. Lastly, for each label found, Amazon Rekognition Video now returns its parent labels in a hierarchical list. For example, the label ‘Dog’ has the parents ‘Mammal’, ‘Canine’, and ‘Animal’. This metadata allows customers to group labels related by parent-child relationships to improve categorization and facilitates easier mapping to in-house taxonomies. No machine learning experience is required to get started.
Amazon Comprehend is now Integrated with AWS CloudTrail
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Starting today, asynchronous Amazon Comprehend API calls are recorded with AWS CloudTrail. With AWS CloudTrail, you can simplify security analysis, resource change tracking, and troubleshooting your Amazon Comprehend requests, like monitoring your Comprehend batch analytics job status.
AWS Migration Hub Now Supports Importing On-Premises Server and Application Data to Track Migration Progress
AWS Migration Hub, which provides a single location to discover and track the progress of application migrations across multiple AWS and partner solutions, launched the import feature. This new feature allows you to import information about your on-premises servers into AWS Migration Hub, including server specifications, utilization data, and the applications the servers are part of, giving you the opportunity to track the status of your application migrations as you migrate them to AWS.