AWS★★★★
Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 are now generally available, delivering up to 25% better compute performance than R8g, ideal for databases, in-memory caches, and real-time analytics.
DEVOPS★★★★
You can now use Amazon Timestream for InfluxDB in the Africa (Cape Town), Asia Pacific (Bangkok), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Seoul), Europe (Zurich), and Israel (Tel Aviv) AWS Regions. Timestream for InfluxDB makes it easy for application developers and DevOps teams to run fully managed InfluxDB databases on AWS for real-time time-series applications using open-source APIs. Timestream for InfluxDB offers Multi-AZ high availability, read replicas, enhanced durability, and multi-node scaling — giving you flexible deployment options to match your workload as it evolves. Whether yo…
KUBERNETES★★★★
I am excited that storage version migration (SVM) has graduated to General Availability (GA) in Kubernetes v1.37! After a number of releases of work and testing, the built-in StorageVersionMigration API (storagemigration.k8s.io/v1) and control plane controller are now fully stable and enabled by default across all v1.37 Kubernetes clusters. The problem with stale storage versionsIn Kubernetes, stored API resources are written using a specific storage version (schema representation). The way Kubernetes interacts with object storage fundamentally requires mutation of a resource in order to ensure that the latest storage version is used for all…
DEVOPS★★★★
Amazon Redshift now supports reading from and writing to Apache Iceberg v3 tables in your data lake. Apache Iceberg is an open table format, and its v3 release adds several new features. With this launch, Amazon Redshift introduces support for default column values, row lineage, and deletion vectors. With default column values, you can define an initial value that Amazon Redshift applies when no value is provided, simplifying schema evolution as you add columns to existing tables. Row lineage exposes pseudo-columns that track each row's identity and last-updated sequence number, so you can build incremental pipelines and CDC (change data cap…
KUBERNETES★★★★
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R9g and R9gd instances, powered by AWS Graviton5 processors, are generally available. AWS Graviton5 processors are the fifth generation of custom-designed CPUs, delivering the best price performance for memory-intensive workloads running on Amazon EC2. R9g instances are ideal for memory-intensive workloads including databases, in-memory caches, real-time big data analytics, Linux-based workloads including containerized and micro-service-based applications (e.g. Kubernetes, Docker, EKS, ECS), as well as applications written in popular programming languages such as C/C++, Rust, Go, Java…
AWS★★★★
AWS Lambda recursive loop detection has expanded support to all commercial AWS Regions. This feature, which is enabled by default, is a guardrail that automatically detects and stops recursive invocations between Lambda functions and other supported services, preventing runaway workloads. When using event sources such as Amazon S3, Amazon SQS, and Amazon SNS to trigger Lambda functions, a misconfiguration or code defect can cause events to be sent back to the same source that triggered the Lambda function, causing recursive loops, unintended usage, and unexpected billing. When such a loop is detected, Lambda recursive loop detection automati…
AWS★★★★
Amazon Aurora serverless now delivers up to 30% better performance and enhanced scaling in additional AWS Regions: Asia Pacific (New Zealand), Asia Pacific (Thailand), Africa (Cape Town), Europe (Milan), and Mexico (Central). These improvements are available for both Aurora PostgreSQL and Aurora MySQL. Aurora serverless is the autoscaling database that scales up to support your most demanding workloads and down to zero when you don't need it, so you only pay for what you actually use. The enhanced scaling algorithm efficiently handles workloads where multiple tasks compete for resources, such as busy web applications and API services. Togeth…
AWS★★★★
AWS Agent Registry is now generally available. It provides a private, governed catalog and discovery layer for agents, tools, skills, MCP servers, and custom resources within your organization. Teams get complete visibility into their AI landscape, so they can discover existing capabilities instead of rebuilding from scratch. Access it through the AWS Agent Registry console, AWS CLI, or AWS SDK. You can also discover and use registry resources from Amazon Bedrock AgentCore, Amazon Quick, and Kiro IDE, so teams can find the right agents and tools without switching context. The console pairs semantic and keyword search with a dedicated browse …
AWS★★★★
The news that interested me the most last week was the DuckLabs acquisition. AWS has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind DuckDB, the popular open source analytical database that runs in-process and executes SQL directly against files like Parquet, CSV, and JSON. DuckDB stays open source under its independent foundation […]
LINUX★★★★
Today, AWS Secrets Manager announces one-click installation for the AWS Workload Credentials Provider (AWCP) on Amazon Linux and Windows, reducing setup from a multi-step build-from-source process to a single command. AWCP resolves secrets from AWS Secrets Manager and caches them locally, enabling applications to retrieve secrets over a local HTTP endpoint. AWCP also enables you to pull your certificates from AWS Certificate Manager. Previously, customers who wanted to use AWCP on Amazon EC2 instances had approximately 6 steps, starting from cloning the Github repository to compiling the binary and setting up configurations. This multi-step …
AWS★★★★
AWS Elastic Beanstalk now automatically joins the Windows Server instances in your environment to an Active Directory domain that you manage with AWS Directory Service. Previously, running domain-joined Windows workloads on Elastic Beanstalk required custom join scripts that you had to maintain. With this launch, you set a few configuration options and every instance in the environment — including instances launched later by auto scaling — joins the domain at boot, before your application deploys, with no custom scripts. Domain-joined instances can use Windows-integrated authentication, apply group policy, and reach domain resources such as …
DEVOPS★★★★
Amazon Kinesis Data Streams now delivers streaming data directly to general purpose Amazon S3 buckets, providing the easiest way to ingest and deliver streaming data to S3 without building or managing delivery pipelines. S3 general purpose delivery reduces data delivery costs by up to 60% compared to self-managed alternatives. Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale. Customers commonly deliver streaming data to Amazon S3 for downstream batch analytics, log delivery, compliance retention, and replay. To do this today, customers either chain …