Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems. AIOps can also automate actions based on identified problems using machine learning. In this video series, we demonstrate how to use Elastic to implement AIOps.

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.

See how to ingest and analyze both metrics, logs, and traces from a serverless application running on AWS Lambda with Elastic Observability.

This video will show how Elastic AIOps can help identify anomalies, log spikes, and pattern analysis for a common need to optimize Postgress by analyzing its logs.

Analyzing performance issues in applications running on AWS can be tough. This video shows how easy it is using the Elastic Observability equipped with AWS Metrics and Application traces to find the issue very quickly.

This video provides a step by step guide on how to observe AWS environments. This will only take about 10 min of working time for you to get a fully configured Elastic Cluster that is actively collecting the data of your AWS environment.

Data: the volume of it, the variety of it, and the complexity of it is overwhelming. Join Elastic Enterprise Search Product Lead Jonas Lavoie as he interviews VP of Elastic Platform Steve Kearns, GM of Elastic Observability Sajai Krishnan, GM of Elastic Security Santosh Krishnan, and GM of Elastic Enterprise Search Matt Riley about the data challenges facing IT leaders today and how 1 platform with 3 search-powered solutions built on 1 tech stack can unlock the power of structured and unstructured data -- anywhere.