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 #selfhosted #elasticsearch #customersupportplatform #certbot #opensource #letsencrypt #selfhosting

Habe grad Spaß dabei, die manuell grenzwertig zu lesenden Catalina-Logs von Tomcat-Servern mittels Prometheus-Exporter schön sauber nach Elasticsearch und auf die Kibana-Dashboards zu bringen.

Erstmal nur als Test.

Aber wenn das gut funktioniert, lichtet sich das Dickicht auf so vielen Systemen.

build an intelligent query layer with MCP in #elasticsearch — from search to agent
here's a preview how ES|QL queries turn into tools that get aggregated into agents — all served and built right in #kibana. and you can try this out today

Phew, finally set up Elasticsearch on my instance and added Netdata to monitor resources and tweak things on time. The evening went great!

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

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.

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

#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

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

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

#elasticsearch 9.1 / 8.19 release : how to improve ranking, latency & cost for dense vector search at the same time — by defaulting to better binary quantization (BBQ). even if improving all 3 is counter intuitive
quick overview of what's new with a focus on semantic_text but dense_vector is similar 1/6

thread + article on #elasticsearch alerting options:
* kibana alerts if you need something simple
* watcher for way more options

watcher example for: "alert when users from the US, Germany, and India dropped below 1000 in the last hour compared to yesterday"

also covering the pattern of writing alerts to an index to operate on them there. and how to automate all of it with #GitOps

full article: https://one2n.io/blog/transforming-alerting-with-gitops-a-journey-in-automating-elasticsearch-alerts

some cool tricks here to reduce your vector search cost by 85% while improving relevance:
* quantization (and this was before #elasticsearch binary quantization BBQ which is also mentioned)
* optimized settings for vector search
* selectively using vector search — skipping very old or rarely used documents
* using a connection pool

full article with way more details: https://futuretechstack.io/posts/elasticsearch-vector-search-production/

Hey rustaceans, I need to plug my #axum server which uses the tracing crate for logs to our elasticsearch logging service, which uses ESC I believe?
It seems there's no off the shelf tracing_layer to talk to elasticsearch , and trying to write my own I'm running in the issue of needing to use an async method to send the message from a sync context (on_event() of tracing::Layer). Anything I've missed to make my live easier? #rustlang #tokio #elasticsearch

today is one of my favorite days: release day!
#elasticsearch and the entire elastic stack 9.1 and 8.19 are out. lots of great stuff in there — I'll pick one feature a day to dive into
but first, versions and updates: 2 majors in parallel? what about 7.x? how to upgrade? and what even is maintained today?