Operations | Monitoring | ITSM | DevOps | Cloud

Transforming Observability with Elastic AI Assistant: A Proactive, AI-Driven Approach

Discover how Elastic AI Assistant is transforming the world of observability by offering proactive, AI-powered insights that help SRE teams manage complex systems more efficiently. Say goodbye to manual, reactive processes and hello to a proactive, AI-driven approach with the Elastic AI Assistant for Observability.

How to deploy a Hello World web app with Elastic Observability on Azure Container Apps

Elastic Observability is the optimal tool to provide visibility into your running web apps. Microsoft Azure Container Apps is a fully managed environment that enables you to run containerized applications on a serverless platform so that your applications scale up and down. This allows you to accomplish the dual objective of serving every customer’s need for availability while meeting your needs to do so as efficiently as possible.

Turbo-charging AI Ops with the Elastic Observability AI Assistant: ElasticON AI

Elastic Observability experts Bahubali Shetti and Gagan Singh take a deep dive into how the Elastic Observability AI Assistant can help you get deeper contextual insights into telemetry, troubleshoot issues more effectively, reduce time to resolution, and streamline operations.

Latest breakthroughs in vector search for Elasticsearch and Lucene: ElasticON AI

Elastic experts Jim Ferenzi and Ben Trent discuss key Elasticsearch and Lucene improvements — including intuitive vector search support, multi-threading, RRF, and hybrid search with filtering and doc-level security. Plus, hear what they are working on next! Additional resources.

Migrating 1 billion log lines from OpenSearch to Elasticsearch

What are the current options to migrate from OpenSearch to Elasticsearch®? OpenSearch is a fork of Elasticsearch 7.10 that has diverged quite a bit from itself lately, resulting in a different set of features and also different performance, as this benchmark shows (hint: it’s currently much slower than Elasticsearch).

Elasticsearch and Arduino: Better together!

An easy way to communicate with Elasticsearch and Elastic Cloud using Arduino IoT devices At Elastic®, we are constantly looking for new ways to simplify search experience, and we started to look at the IoT world. The collection of data coming from IoT can be quite challenging, especially when we have thousands of devices. Elasticsearch® can be very useful to collect, explore, visualize, and discover data — for all the data coming from multiple devices.

Ingesting and analyzing Prometheus metrics with Elastic Observability

In the world of monitoring and observability, Prometheus has grown into the de-facto standard for monitoring in cloud-native environments because of its robust data collection mechanism, flexible querying capabilities, and integration with other tools for rich dashboarding and visualization.