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AWS – AWS Backup introduces support for Amazon Redshift
AWS announces support for Amazon Redshift in AWS Backup, making it easier for you to centrally manage data protection of your Amazon Redshift data warehouse. You can now use AWS Backup to schedule and restore Redshift manual snapshots. Further, your backups can provide enhanced data protection with immutability, improved security with separate backup access policies, […]

AWS – Amazon EBS launches Rule Lock for Recycle Bin to prevent unintended changes to Region-level retention rules for Snapshots and AMIs
Today, Amazon Elastic Block Store (EBS) announced the availability of Rule Lock for Recycle Bin so customers can lock their Region-level retention rules to prevent them from being unintentionally modified or deleted. This new setting adds an additional layer of protection for customers to recover their EBS Snapshots and EC2 AMIs in case of inadvertent […]

AWS – Amazon Managed Grafana now supports visualizing Prometheus Alertmanager rules and new configuration APIs
Amazon Managed Grafana now supports visualizing Prometheus Alertmanager rules, new configuration APIs and additional visualization plugins. AWS customers using Amazon Managed Service for Prometheus, or running self-managed Prometheus environments can visualize and analyze their Alertmanager rules, alert states, silences and contact points directly in an Amazon Managed Grafana workspace. Customers can opt-in to viewing their […]

AWS – Amazon Managed Grafana now supports connection to data sources hosted in Amazon Virtual Private Cloud
Amazon Managed Grafana now supports direct connectivity to data sources hosted in your Amazon Virtual Private Cloud (VPC). Amazon Managed Grafana is a fully managed service for open-source Grafana that simplifies connecting to open-source, third-party ISV, and AWS services for visualizing and analyzing your data sources at scale. Amazon VPC is a virtual network dedicated to […]

AWS – Amazon Rekognition adds new pre-trained labels, and introduces color detection
Amazon Rekognition Labels is a machine learning-based image and video analysis service that can detect objects, people, text, scenes, and activities. Starting today, customers get multiple improvements and enhancements in Amazon Rekognition Labels for images. In the new update, we have added 600 new labels and improved the accuracy of over 2,000 existing labels. We […]

AWS – Amazon QuickSight launches cluster points for Geospatial Visual
Authors of Amazon QuickSight can now improve readability of points on maps visual by changing the points style to cluster points. When hundreds of data points are clumped together with many of them so close in proximity that they overlap and are not visible, cluster points makes is it easy for readers to find patterns […]

AWS – AWS IoT RoboRunner is now generally available
AWS IoT RoboRunner is an AWS for Robotics service that unlocks new use cases for robotics automation by helping fleets of robots seamlessly work together. AWS IoT RoboRunner reduces the complex development work required to build the applications you need to provide multivendor interoperability. Read More for the details.

GCP – Build a chat server with Cloud Run
With Cloud Run — the fully-managed serverless container platform on Google Cloud — you can quickly and easily deploy applications using standard containers. In this article, we will explain how to build a chat server with Cloud Run using Python as the development language. We will build it with the FastAPI framework, based on this […]

AWS – Amazon Kinesis Data Analytics for Apache Flink now supports Apache Flink version 1.15
Amazon Kinesis Data Analytics for Apache Flink now supports Apache Flink version 1.15. This new version includes improvements to Flink’s exactly-once processing semantics, Kinesis Data Streams and Kinesis Data Firehose connectors, Python User Defined Functions, Flink SQL, and more. The release also includes an AWS-contributed capability, a new Async-Sink framework which simplifies the creation of […]
AWS – Announcing AWS Graviton2 support for Amazon EMR Serverless – Get up to 35% better price-performance for your serverless Spark and Hive workload
Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple to run applications using open-source analytics frameworks such as Apache Spark and Hive without configuring, managing, or scaling clusters. Read More for the details.