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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 …
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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 …
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AWS Deadline Cloud now supports flexible expressions and rich parameter types in job templates, giving customers a cleaner, more powerful way to fit the service to existing production pipelines. Deadline Cloud is a fully managed service that helps teams run compute-intensive workloads in the cloud for visual effects, animation, product design, simulation, and gaming. Customers can now express pipeline logic directly in their job templates. This includes expressions such as arithmetic, conditionals, string and path operations, and list comprehensions, all in a familiar Python-style syntax. Customers can use this to split a frame range into pe…
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AWS announces Salesforce and Zendesk data source connectors for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service. Customers can now sync Salesforce knowledge articles and Zendesk articles and community posts directly into their managed knowledge base. Previously, bringing content from these platforms into Bedrock Knowledge Bases required building custom ingestion pipelines—now, you provide your instance credentials, and the connectors handle data crawling, metadata extraction, and incremental sync automatically. These connectors make it easy to build AI agents and assistants grounded in the …
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Amazon Connect Customer now provides routing step data in the analytics data lake, making it easier for customers to generate insights from routing decisions. Using the data lake, customers can leverage Amazon Athena and Amazon Quick to analyze trends, such as contacts queued and contacts joined at each routing step, without complex data pipelines. For example, an analyst can now report on how contacts progressed through each routing step, identify where agent matching criteria were relaxed, and measure the impact of routing step configurations on wait times and agent utilization. Routing step data is available in all AWS regions where Amazo…
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Amazon CloudWatch Omni is the next evolution of CloudWatch — unified observability that brings your applications and AI agents into one reimagined experience, with auto-discovered topology, natural language queries, and AI-guided investigation powered by AWS DevOps Agent.
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AWS Glue Data Quality now generates data quality rules in seconds, reducing the time to establish data quality checks for your tables in the AWS Glue Data Catalog. You get a ready-to-use set of rules with full coverage across every column, with no manual setup—so you can move from raw data to trusted data faster while authoring pipelines. This is delivered through a new Advanced mode for rule recommendations, in which AWS Glue Data Quality uses generative AI to detect the intent behind your data and proposes business-relevant rules that reflect how your data is used. You can use this Advanced mode to bootstrap rules for a newly onboarded dat…
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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…
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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,…
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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)…
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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…
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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 …
