# opensearch OpenSearch is a fully open-source search and analytics suite, including a search engine and related tools for ingesting, visualizing, and analyzing data. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Linux Foundation Newsletter: September 2026 DevFeed: [Linux Foundation Newsletter: September 2026]() Original publisher: [Read original article]() Author: andrewb@proximabiz.com (The Linux Foundation) Published: 2026-09-17T14:49:43Z Content type: news Language: en Sources: [Linux Foundation - Blog]() Topics: [linux foundation](), [MCP](), [Artificial Intelligence](), [Open Source](), [Xen](), [opensearch](), [Cybersecurity]() Tags: [2026](), [blog](), [careers](), [cybersecurity](), [education](), [lf-europe](), [lf-events](), [lf-research](), [linux](), [linux-blog](), [linux-foundation](), [mcp](), [newsletter](), [open-source](), [open-source-summit](), [opensearch](), [project-news](), [projects](), [september-2026](), [tech-talent]() ### AI overview The September 2026 Linux Foundation Newsletter highlights upcoming AGNTCon and MCPCon North America, developments in agentic AI and AI-agent infrastructure, Xen safety and security work, OpenSearch recognition, and LF Energy research, projects, and community updates. ### Source excerpt Welcome to the September 2026 edition of the Linux Foundation Newsletter The open agentic AI community is coming together in San Jose for AGNTCon + MCPCon North America, October 22-23. More than 3,500 developers, researchers, maintainers and technical leaders will gather for 150 sessions across 11 tracks focused on MCP, agent infrastructure, security, interoperability and production agent systems. Register by October 8 to save. Beyond the event, six developments stand out this month. TheAgentic AI Foundation welcomed the Gates Foundation as its first philanthropic member, bringing the perspectives of underserved communities into the development of agentic AI and supporting broader participation in the firstMCP Dev Summit Nairobi. The Linux Foundation welcomed TRACE, an open specification developed with AMD, Anthropic, Intel, Microsoft, NVIDIA, OPAQUE and TII to provide portable, verifiable runtime and compliance evidence for AI agents and confidential workloads. TheXen Project launched the Xen Safety Committee to develop shared engineering artifacts for functional safety certification and extended security coverage for Xen releases to five years.OpenSearch won the Analytics & Data Intelligence Solutions category in SiliconANGLE's2026 TechForward Awards as the project celebrates five years of community growth. NewLF Energy research found that open source software can deliver two to five times greater net value for grid operators and introduced a standardized framework for evaluating those investments. LF Energy also welcomed three new members and three new projects, advanced Power Grid Model to Early Adoption after more than 10 million downloads, and documented how TenneT achieved a tenfold improvement in grid security analysis performance with PowSyBl. You'll also find new Linux Foundation research, training and certification opportunities, registration for upcoming events, and project news spanning cloud native, AI, energy, cybersecurity, automotive, telecommunicat ## FIPS 140-3 support in OpenSearch DevFeed: [FIPS 140-3 support in OpenSearch]() Original publisher: [Read original article]() Author: Karsten Schnitter Published: 2026-09-16T19:12:14Z Content type: article Language: en Sources: [OpenSearch]() Topics: [fips 140-3](), [opensearch](), [Cryptography](), [Encryption](), [Security]() Tags: [aws](), [blog](), [compliance](), [cryptography](), [encryption](), [fips](), [fips-140-3](), [opensearch](), [security](), [technical]() ### AI overview This post explains OpenSearch support for a FIPS 140-3-compliant mode starting with version 3.6. It describes the validated cryptographic modules used for security-relevant operations, the collaboration involving SAP, SAS, and AWS, and how native FIPS mode differs from using a FIPS-validated TLS-terminating proxy. ### Source excerpt OpenSearch now supports running in a mode compliant with FIPS 140-3, contributed through a multi-year collaboration between SAP, SAS, and AWS. The post FIPS 140-3 support in OpenSearch appeared first on OpenSearch. ## How we selected the next vector database at Booking.com DevFeed: [How we selected the next vector database at Booking.com]() Original publisher: [Read original article]() Author: Başak Tuğçe Eskili Published: 2026-08-11T10:31:50Z Content type: article Language: en Sources: [Booking.com Data Science]() Topics: [Database](), [Retrieval Augmented Generation (RAG)](), [Embeddings](), [Back end](), [opensearch](), [AI search]() Tags: [ai](), [database](), [embeddings](), [featured](), [genai](), [hybrid-search](), [retrieval-augmented-generation](), [retrieval-augmented-generation-rag](), [semantic](), [vector-database]() ### AI overview Booking.com explains why selecting a vector database became an infrastructure decision as embeddings and vector search expanded across its machine learning and GenAI systems. The article describes diverse functional and operational requirements, including hybrid search, multi-vector support, capacity, request rates, metadata filtering, and concurrency, and introduces OpenSearch as the initial choice. ### Source excerpt This work was done in collaboration with Klaus Schaefers. Over the past few years, embeddings and vector search have become an important capability in many of our machine learning and GenAI systems at Booking.com. We initially started with a handful of use cases and experiments, and later this capability has grown into shared infrastructure that powers similarity search, semantic filtering, and retrieval-augmented generation (RAG). We used to treat vector search as a backend implementation detail, but today it directly drives the user experience. The real win isn't only speed but also the context. Expanding the variety of domain data we can retrieve efficiently gives our system the depth of context it needs to deliver accurate, and personalized experiences across the platform. This makes selecting the underlying vector database an infrastructure decision similar to choosing a primary datastore or message queue. It has to be predictable and scalable. As more teams started using our vector store, we began seeing highly diverse functional and operational requirements across different use cases. Some teams needed advanced capabilities like hybrid search or multi-vector support, while others demanded larger vector capacities and higher RPS metrics. These architectural needs ultimately brought us to a point where we needed to reassess whether our current setup could support this next phase of growth. Context: how embeddings fit into our stack Embeddings are vectors: fixed-length arrays of numbers produced by a model to represent an item (text, image, etc.). Each vector can be seen as a point in a high-dimensional space, where distance (or similarity) between points approximates semantic relatedness. By searching for the nearest vectors to a query vector, we retrieve items that are semantically "similar". This simple mechanism enables a wide range of use cases for us due its ability to do semantic similarity search. RAG-based use cases are the most well known examples. Ano ## What's new in OpenSearch 3.8 DevFeed: [What's new in OpenSearch 3.8]() Original publisher: [Read original article]() Author: James McIntyre Published: 2026-08-05T00:50:11Z Content type: release Language: en Sources: [OpenSearch]() Topics: [opensearch](), [Artificial Intelligence](), [observability](), [Model Context Protocol](), [Large Language Model]() Tags: [ai](), [blog](), [large-language-model](), [mcp](), [observability](), [opensearch](), [performance](), [release]() ### AI overview OpenSearch 3.8 adds broader Model Context Protocol integration, lower-latency streaming machine-learning predictions over gRPC, faster vector ingestion and radial search, expanded large-language-model provider support, and new tools for log and time-series analysis. ### Source excerpt OpenSearch 3.8 expands the platform's search, AI, and observability capabilities with enhanced vector performance, broader agent integrations, and new tools to help you simplify analytics workflows from ingestion to investigation. The post What's new in OpenSearch 3.8 appeared first on OpenSearch. ## Blinkit at OpenSearchCon India 2026 DevFeed: [Blinkit at OpenSearchCon India 2026]() Original publisher: [Read original article]() Author: Harshit Prasad Published: 2026-07-24T10:16:24Z Content type: article Language: en Sources: [Grofers]() Topics: [opensearch](), [migration](), [linux foundation]() Tags: [2026](), [architecture](), [blinkit](), [community](), [conference](), [data](), [distributed-systems](), [engineering](), [india](), [keynote](), [linux-foundation](), [migration](), [opensearch](), [scale](), [search](), [software-engineering]() ### AI overview Blinkit describes its OpenSearchCon India 2026 keynote, including its migration from a single OpenSearch cluster to a multi-cluster architecture, the production challenges encountered, and the trade-offs and lessons shared with the community. ### Source excerpt A few weeks ago, we spoke at OpenSearchCon India about how we make search fast and reliable at scale at Blinkit. I'm Harshit, from the Search Engineering team at Blinkit, and this year we got to speak at OpenSearchCon India at the Jio World Convention Centre in Mumbai. In this post, I'll walk you through our talk, the conversations that followed, and what our team took away from being part of the OpenSearch community in a more active way this year. First Day : Keynote by Blinkit The highlight of this year's conference for our team was the opportunity to deliver a keynote session at OpenSearchCon, organised by the Linux Foundation. Along with my fellow engineer Bharti Sawaria we walked the audience through our journey of migrating from a single OpenSearch cluster to a multi-cluster architecture. We shared the challenges we faced, the solutions that failed in production, and our key learnings for the community. We also discussed Blinkit's growing scale & the trade-offs we made during our migration. To provide context for our global audience, we framed the talk around the sheer scale at which we operate, highlighting the "breaking point" where we realised a single cluster could no longer handle our needs. Bharti explaining about OpenSearch Multi-Cluster ArchitectureHarshit explaining about the OpenSearch Single-Cluster Architecture The official keynote talk video can be found on Youtube : https://medium.com/media/774b8379733c6442d3ecaa3976c2191e/hrefThe Experience at OpenSearchCon Beyond the breakout sessions, the real value of OpenSearchCon was connecting with engineers from across the industry. Many of whom are dealing with similar scale and freshness challenges, openly sharing what's worked and what hasn't. That kind of unfiltered peer exchange is hard to replicate online. Our team attended multiple breakout sessions and had several great discussions with engineers from Uber, Freshworks, Oracle, and others. A few sessions stood out enough to flag once recordings are ## Teleport 13: New Features and Updates DevFeed: [Teleport 13: New Features and Updates]() Original publisher: [Read original article]() Author: kenneth.dumez@goteleport.com (Kenneth DuMez) Published: 2023-05-10T00:00:00Z Content type: release Language: en Sources: [Teleport]() Topics: [configuration](), [Load Balancing](), [Amazon Web Services](), [Kubernetes](), [okta](), [opensearch](), [TLS (Transport Layer Security)](), [Web]() Tags: [announcement](), [aws](), [configuration](), [kubernetes](), [load-balancing](), [new-features](), [okta](), [opensearch](), [tls](), [ui]() ### AI overview Teleport 13 introduces automatic agent updates with configurable maintenance windows, TLS routing through AWS application load balancers for Server Access and Kubernetes Access, Okta application and group imports, and AWS OpenSearch support for Database Access. Several features are marked as preview releases. ### Source excerpt An overview of all of the new features added to Teleport 13. Automatic Updating, Light Theme and more! ## Teleport 13 Newsletter DevFeed: [Teleport 13 Newsletter]() Original publisher: [Read original article]() Author: ben@goteleport.com (Ben Arent) Published: 2023-04-15T00:00:00Z Content type: release Language: en Sources: [Teleport]() Topics: [releases](), [Release notes](), [OpenSSH](), [OpenID connect (OIDC)](), [opensearch](), [terraform provider](), [Windows]() Tags: [aws](), [newsletter](), [oidc](), [opensearch](), [openssh](), [release](), [releases](), [terraform-provider](), [updates]() ### AI overview The May 2023 Teleport newsletter summarizes the Teleport 13 release, including automatic agent upgrades, no-code AWS onboarding, TLS routing through an ALB, universal binaries, improved OpenSSH support, Kubernetes tracing, Okta application protection, AWS OpenSearch support, and Windows session recording export. ### Source excerpt Teleport 13 Newsletter - May 2023 Edition ## DuckDuckGo Onion Search for Firefox DevFeed: [DuckDuckGo Onion Search for Firefox]() Original publisher: [Read original article]() Published: 2021-07-30T18:42:23Z Content type: tutorial Language: en Sources: [Signs of Triviality]() Topics: [DuckDuckGo](), [Firefox](), [opensearch]() Tags: [firefox](), [how-to](), [opensearch](), [search]() ### AI overview A tutorial explaining how to add DuckDuckGo Tor OpenSearch as the default search engine in Firefox. ### Source excerpt How to add DuckDuckGo Tor OpenSearch as the default search in Firefox.