Learn how to update Elasticsearch schema mappings during Kubernetes rolling deployments without search downtime. https://hackernoon.com/zero-downtime-elasticsearch-deployments-with-hibernate-search-a-rolling-strategy-that-works #elasticsearch
Zero-Downtime Elasticsearch Deployments with Hibernate Search: A Rolling Strategy That Works | HackerNoon

Learn how to update Elasticsearch schema mappings during Kubernetes rolling deployments without search downtime.

Building a network traffic analysis system: Deploying Malcolm on Amazon EC2

This is the first of two blog posts on the AWS Public Sector Blog about deploying Malcolm on Amazon AWS. It covers installing Malcolm on a single EC2 instance. The next post will cover deploying Malcolm on EKS.

For those of you more interested in scaling Malcolm using Kubernetes, you can check out our "still-in-beta" Helm chart and share your feedback in the issue tracker on that repo.

#AWS #EC2 #Malcolm #Zeek #Arkime #NetBox #OpenSearch #Elasticsearch #Suricata #PCAP #NetworkTrafficAnalysis #networksecuritymonitoring #OT #ICS #icssecurity #CyberSecurity #Cyber #Infosec #INL #DHS #CISA #CISAgov

Building a network traffic analysis system: Deploying Malcolm on Amazon EC2 | Amazon Web Services

In this post, we provide step-by-step guidance for deploying Malcolm—an open source network traffic analysis suite—natively on Amazon Elastic Compute Cloud (Amazon EC2), using the on-demand compute, elasticity, and scalability of AWS to eliminate traditional infrastructure overhead. This approach is particularly beneficial for cost-conscious public sector (federal, state, and local), utility, and industrial customers who require network and security monitoring to deliver on their missions.

Amazon Web Services
I recently joined Time4AI for a 20min chat, discussing how #elasticsearch and #kibana are transforming information retrieval for search, logs, observability, and security. from traditional keyword search to newer vector search (and hybrid search) to improve your relevance and keep it up to the standards in the age of AI and agentic search
full episode: https://www.time4ai.show/e/unveiling-the-future-of-information-retrieval-insights-with-philipp-krenn/

How to Install #Zammad on #AlmaLinux #VPS (10-Minute Quick-Start Guide) This article provides a guide on how to install Zammad on #AlmaLinux VPS.

If you're looking to run a robust open-source #helpdesk on your AlmaLinux VPS, Zammad is a great pick. It's modern, feature-packed, and supports everything from ticketing to chat and reporting. This guide will ...
Continued 👉 https://blog.radwebhosting.com/how-to-install-zammad-on-almalinux-vps/?utm_source=mastodon&utm_medium=social&utm_campaign=mastodon.social #customersupportplatform #letsencrypt #elasticsearch #opensource #certbot #selfhosting #selfhosted

How To Install Zammad On AlmaLinux VPS (10-Minute Quick-Start Guide) - VPS Hosting Blog | Dedicated Servers | Reseller Hosting

This article provides a guide on how to install Zammad on AlmaLinux VPS.

RadWeb, LLC

#elasticsearch REST API in .md — in case you need to point your LLM to the latest version and features
it's been long overdue :)

https://www.elastic.co/docs/reference/elasticsearch/rest-apis vs https://www.elastic.co/docs/reference/elasticsearch/rest-apis.md

🌘 Radar 如何以 Rust 和 RocksDB 取代 Elasticsearch 與 MongoDB
➤ 效能升級之路:用 Rust 和 RocksDB 打造更強大的地理位置資料庫
https://radar.com/blog/high-performance-geocoding-in-rust
Radar 工程團隊分享他們如何透過自建的 Rust 語言資料庫 HorizonDB,成功取代了原先基於 Elasticsearch 和 MongoDB 的架構。此舉不僅大幅提升了系統的效能與營運效率,更降低了成本。HorizonDB 結合了 RocksDB、S2、Tantivy、FSTs、LightGBM 和 FastText 等技術,能處理每秒數十億次的 API 呼叫,提供極高的查詢響應速度與可擴展性,完美契合 Radar 對效能的要求。
+ 這篇分享太有價值了!看到 Radar 如何克服技術挑戰,並成功建構出如此高效的系統,真的很受啟發。Rust 的確是系統程式設計的
#工程 #系統架構 #資料庫 #Rust #RocksDB #Elasticsearch #MongoDB
How we replaced Elasticsearch and MongoDB with Rust and RocksDB

Radar offers geocoding, place search, and fraud detection APIs, powered by HorizonDB, a Rust-based engine delivering 20k QPS and sub-millisecond latency.

Radar

How to Install #Zammad on #AlmaLinux #VPS (10-Minute Quick-Start Guide) This article provides a guide on how to install Zammad on #AlmaLinux VPS.

If you're looking to run a robust open-source #helpdesk on your AlmaLinux VPS, Zammad is a great pick. It's modern, feature-packed, and supports everything from ticketing to chat and reporting. This guide will ...
Continued 👉 https://blog.radwebhosting.com/how-to-install-zammad-on-almalinux-vps/?utm_source=mastodon&utm_medium=social&utm_campaign=mastodon.raddemo.host #letsencrypt #customersupportplatform #selfhosted #selfhosting #certbot #opensource #elasticsearch

How To Install Zammad On AlmaLinux VPS (10-Minute Quick-Start Guide) - VPS Hosting Blog | Dedicated Servers | Reseller Hosting

This article provides a guide on how to install Zammad on AlmaLinux VPS.

RadWeb, LLC

Any #OpenSearch / #ElasticSearch folks (users, developers, experts, aficionados, etc) out here?

I’m doing some search tuning and would love to have something that can take the “explain” output and convert it to something more human readable. Getting something per individual result would be useful, but even more helpful would be something that can take all the explanations from all the results of a query and help to explain why one result was ranked above others.

Also, if you know of good resources to guide someone through the tuning/improvement process (both on the searching and indexing side), that’d be helpful, too.

My biggest issue right now is exact matches not beating out prefix matches (e.g. a search for “Foo” returning “Foo Bar” before “Foo”).

#elasticsearch 9.1 / 8.19 release: continuing the optimizations, also for time-series — LogsDB and TSDS (time-series datastream)
storage is commonly the most painful part, especially with longer retentions. but we're getting to 2x to 4x improvements over default indices 1/6

Running #Elasticsearch in earnest. I tried without, I can’t. Added explicit /inbox handling to my nginx directives so all you people who kept seeing 401s, won’t.
Also, removed wrong directives from three days ago.
Was glad I could reset my .env and compose files to four days ago.
I think I will extend the grace period before pruning old backups in my Cloud to two weeks.
Will purge broken profile media next, then refresh, then force an Elasticsearch reindexing.

How have you been, btw?