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,…
DEVOPS★★★
AWS Lambda now supports a 90-minute function timeout for asynchronous and event source mapping (ESM) invocations on Lambda Managed Instances (LMI), a 6x increase from the previous 15-minute limit. You can now run data processing, media transcoding, financial calculations, AI inference, and batch workloads on Lambda for jobs that require longer continuous execution, without re-architecting your applications. Customers use Lambda to build serverless applications like event-driven processors, API backends, and data processing pipelines. For data-intensive workloads like media transcoding, financial calculations (such as Monte Carlo simulations)…
DEVOPS★★★
AWS announces the Confluence Data Center data source connector for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service. Customers running self-hosted Confluence Data Center instances can now crawl blogs and pages from their Confluence spaces directly into their managed knowledge base. Previously, bringing Confluence Data Center content into Bedrock Knowledge Bases required building custom ingestion pipelines—now, you provide your instance credentials, and the connector handles data crawling, metadata extraction, and incremental sync automatically. The Confluence Data Center connector gives your…
DEVOPS★★★
Amazon SageMaker Feature Store is a fully managed capability that makes it easy to compute, store, and retrieve features for training and deploying AI models. SageMaker Feature Store now supports feature-level writes, a new capability for updating individual features in a record. Data scientists can now update one or more feature values in a single request, without rewriting the entire record. Data scientists can use a single update call to replace the read-modify-write pattern their pipelines run today. Each write updates only the features in the request and leaves every other feature in the record unchanged, which lowers write latency and …
DEVOPS★★★
AWS announces the ServiceNow data source connector for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service. Customers can now connect their ServiceNow instance to crawl knowledge articles and service catalog items directly into their managed knowledge base. Previously, bringing ServiceNow content into Bedrock Knowledge Bases required building and maintaining custom ingestion pipelines—now, you simply provide your ServiceNow instance credentials, and the connector handles data crawling, metadata extraction, and incremental sync automatically. The ServiceNow connector crawls knowledge articles an…
DEVOPS★★★
Amazon SageMaker Unified Studio CI/CD expands its open-source deployment toolkit with two new capabilities: (1) an AI agent skill that automates manifest authoring, and (2) native notebook promotion across environments. Together, they help data teams go from project to production faster while maintaining best-practice defaults across stages. AI-assisted manifest generation. The new generate-bundle-manifest agent skill inspects a project's connections, storage, and workflows and produces a ready-to-use deployment manifest. It applies least-privilege IAM guidance, substitutes environment variables in place of hardcoded resource identifiers, an…
DEVOPS★★★
Amazon CloudWatch now lets you configure a warm-up period for metric alarms and log alarms, delaying alarm evaluation for a set time after the alarm is created. This reduces noise from missing data while a new resource or service starts up and begins publishing metrics. For example, a team that provisions a new microservice and its alarms together through a CI/CD pipeline can attach a warm-up period so alarms do not page the on-call engineer while the service is still starting up and has not yet published metrics. Previously, when you created an alarm before the underlying metric was reporting data, CloudWatch evaluated the alarm right away …
DEVOPS★★★
Amazon MSK Connect (Amazon Managed Streaming for Apache Kafka Connect) supports restarting newly created connectors and their tasks, enabling fast recovery for streaming data pipelines. Amazon MSK Connect is a fully managed service that allows you to deploy, monitor, and scale Apache Kafka Connect connectors with Amazon MSK (Managed Streaming for Apache Kafka). Previously, recovering from failures required deleting and recreating the connector, resulting in downtime and operational overhead. With this feature, you can restart your connector and all its tasks, or selectively restart only the failed tasks, making recovery seamless. You can als…