DEVOPS★★★★
Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes. When running LLM inference at scale for workloads like chat assistants, agentic pipelines, RAG, and document analysis, cold start is a real bottleneck. Deployments and scale-out events spend most of their time downloading container images and model weights. As model size increases, this gets worse, with large models taking tens of minutes before they can serve traffic. Model caching solves this with two independent capabilities. The weights cache stor…
DEVOPS★★★★
AWS Lambda now supports direct read configuration for Amazon S3 Files, letting you configure which storage your functions read from: S3 Files high-performance storage or your S3 bucket. With this launch, you can optimize the throughput and latency of file reads for your Lambda functions based on your application requirements. Customers use S3 Files with Lambda functions to build scalable data processing pipelines and stateful agentic workloads with the performance and simplicity of a file system, while benefiting from the scalability, durability, and cost-effectiveness of S3. S3 Files serves data from high-performance storage for low latency…
DEVOPS★★★★
Today, AWS announced the general availability of an AWS-managed transformation for .NET modernization in AWS Transform custom that you can trigger with a single one-line CLI command. You can run this transformation interactively, or script it into any existing pipeline or workflow to run autonomously. The CLI experience complements the existing AWS Transform for .NET experiences: the web application, Visual Studio IDE, Kiro Power, and MCP agents. AWS Transform custom enables organizations to modernize and transform code at scale using AWS-managed and custom transformations. You can upgrade language versions, migrate frameworks, optimize perf…
DEVOPS★★★★
AWS announces automatic sync scheduling for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service that handles data ingestion, storage optimization, and advanced retrieval without requiring you to manage vector databases or data pipelines. Previously, keeping your knowledge base current required manually triggering a sync each time your source data changed or building a custom solution. Now, you can configure daily, weekly, or monthly sync schedules for all native data source connectors, so your AI agents always retrieve the most up-to-date information. With automatic sync scheduling, you can mat…
DEVOPS★★★★
Amazon Elastic Container Service (Amazon ECS) now supports Early Success Criteria for rolling service deployments, giving you the flexibility to define when a deployment is considered successful based on your confidence level and the operational needs of your workload. This can help you complete deployments sooner and unblock subsequent deployments, CI/CD pipelines, and other dependent operations. With Early Success Criteria, you configure the healthy percent - the proportion of desired tasks that must be running and healthy on the target service revision before the deployment is marked successful. For example, with a desired count of 100 an…
DEVOPS★★★★
Amazon Managed Workflows for Apache Airflow (MWAA) now supports Apache Airflow version 3.3.1, the latest release of the popular open-source workflow orchestration framework. Amazon MWAA is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud. Apache Airflow 3.3 introduces stateful tasks and multi-language support. With the new Task and Asset State Store, tasks can now persist durable state across retries and reruns, enabling cursor tracking and crash-safe reconnection to long-running jobs. The Language Task SDK (experimental) lets teams write task logic in Java o…
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…
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…
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 …
DEVOPS★★★★
Amazon Kinesis Data Streams introduces streaming tables, a new fully serverless capability that continuously delivers data from Kinesis streams to Amazon S3 Tables in Apache Iceberg format. Streaming tables eliminate the need to build and operate self-managed Iceberg delivery pipelines, reducing data delivery costs by up to 50%. Intelligent inline compaction eliminates the small file problem and keeps query performance predictable, reducing downstream query costs by up to 30%. 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 increasingly …
DEVOPS★★★
AWS Elemental MediaLive now supports Video Aligned Locking, a new feature to synchronize video pipelines without requiring timecode from the source. Previously, achieving frame-accurate locking across video outputs required investing in specialized hardware or managing complex, external synchronization workflows. While timecode is generally standard for highly produced, traditional broadcast content, it is often unavailable and difficult to manage in typical digital streaming workflows. The new capability uses visual signatures to automatically identify and align specific frames across multiple video streams, enabling customers to achieve fr…
DEVOPS★★★
AWS DevOps Agent now enables engineers to manage production operations across AWS, multicloud, and on-premises environments with the complete investigation lifecycle directly within Slack. Previously, on-call engineers and DevOps teams faced fragmented workflows during high-severity incidents, having to context-switch between communication and investigation platforms. This update consolidates both surfaces into a single, unified location where incident response already happens. Engineering teams can now initiate and steer investigations by simply @mentioning AWS DevOps Agent in any connected Slack private channel. All investigation activity,…