News For Dev-ops

Amazon MSK Replicator now supports data replication from external Apache Kafka clusters - including on-premises, self-managed on AWS, or other cloud providers to Amazon MSK Standard brokers. This capability extends replication support to MSK Standard brokers, in addition to the existing support for MSK Express brokers. With this launch, you can migrate workloads to MSK Standard brokers, support disaster recovery by using MSK clusters as a failover or backup target, and enable data distribution across hybrid and multi-cloud environments. MSK Replicator is a feature of Amazon MSK that automates data replication between Kafka clusters, eliminating the need to manage custom replication infrastructure or configure open-source tools. Previously, MSK Replicator supported replication from external Apache Kafka clusters to MSK Express brokers only. With this launch, you can now also replicate data from external Kafka clusters to MSK Standard brokers, using either SASL/SCRAM or mutual TLS (mTL...

Introduction: The Problem Media and entertainment teams work with massive asset catalogs for films and TV series. Each asset often includes structured metadata such as episode ID, scene ID, and shot ID, along with the visual content itself. Teams want a unified search experience that understands both metadata constraints and natural language intent. The problem appears when users provide both types of information in one query, for example: Two soldiers facing off across a battlefield in episode 20, scene 5, shot 2 If we embed this raw query directly for semantic retrieval, two issues appear: Metadata tokens dilute visual intent in the embedding representation. Retrieval can return visually similar assets from the wrong episode, scene, or shot. This gap is common in real workflows. Editors, archivists, and production teams often know part of the context, but they still describe the visual moment in natural language. Query decomposition solves this by splitting one noisy que...

This blog post summarizes changes to the vcpkg package manager as part of the 2026.06.01 and 2026.06.24 registry releases and the 2026-05-27 tool release. These updates add a vcpkg-tool switch to skip installation when packages are already cached, OpenHarmony (OHOS) platform support, and major library updates including curl 8.21, CGAL 6.2, and Graphviz 15, along with other minor improvements and bug fixes. There are now 2,849 total ports available in the vcpkg curated registry. A port is a versioned recipe for building a package from source, such as a C or C++ library. 28 new ports were added to the curated registry. 142 ports were updated in the 2026.06.01 release and 283 ports were updated in the 2026.06.24 release . As always, we validate each change to a port by building all other ports that depend on or are depended by the library that is being updated for our main triplets . 82 community contributors made commits. The main vcpkg repo has over 7,600 for...

Amazon Aurora DSQL change data capture (CDC) is now generally available, enabling you to stream real-time database changes to Amazon Kinesis Data Streams for event-driven architectures and data integration workflows. Aurora DSQL CDC automatically captures the results of insert, update, and delete operations as change events and delivers them to Kinesis Data Streams with no infrastructure to manage. You can use CDC to synchronize data across microservices, trigger AWS Lambda functions, or deliver changes to Amazon S3, Amazon Redshift, and Amazon OpenSearch Service via Amazon Data Firehose. CDC streaming is designed to have zero impact on your database workload performance. CDC streaming is available in all AWS Regions where Aurora DSQL is available. Get started with Aurora DSQL for free with the AWS Free Tier . To learn more about CDC in Aurora DSQL, visit the documentation page . Post Updated on July 8, 2026 at 07:00PM

Amazon RDS for Oracle now supports Oracle Database 26ai, Oracle's latest Long Term Support Release, with Amazon Bedrock integration which provides access to foundation models such as Anthropic Claude, Amazon Nova, and Meta Llama. With Oracle Database 26ai, you can leverage Oracle's Select AI feature to generate and run SQL queries from natural language prompts, increasing productivity for both developers and business users. You can also implement retrieval augmented generation (RAG) directly from SQL using Oracle AI Vector Search without moving data out of their database. Oracle Database 26ai also includes AI Vector Search for storing vector embeddings alongside relational data and performing semantic similarity and hybrid searches without a separate vector database, JSON Relational Duality Views for accessing the same underlying data as either JSON documents or relational tables, and SQL Property Graphs for in-database graph analytics. You can create new DB instances runnin...

Here's what shipped in Microsoft Foundry in June 2026 — Claude reached general availability, Foundry agents started publishing straight into Microsoft 365 Copilot and Teams, and Toolboxes, Routines, and Memory all got meaningfully more capable. TL;DR Claude is now generally available in Microsoft Foundry: Anthropic's Claude models are hosted on Azure with the Messages API, prompt caching, extended thinking, and tool streaming — and Foundry Agent Service can use Claude as the reasoning core for multi-step agents. Foundry agents can now publish to Microsoft 365 Copilot and Teams (GA): This fulfills the "GA in June 2026" commitment from Build. Agents move through one governed publishing pipeline instead of separate rebuilds per surface. Foundry autopilot agents (public preview): A new agent category with its own Entra Agent ID, productivity license, email, calendar, and Teams presence — designed to work inside shared spaces like group chats, not just one-...