Operations | Monitoring | ITSM | DevOps | Cloud

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.

Elastic Observability has extensive machine learning capabilities that support and improve analysis in APM. Learn techniques for correlating and detecting anomalies of telemetry data from APM agents for a particular application.

This is a quick introduction on how to set up monitoring Kubernetes clusters on Elastic. Not only is the setup easy, but metrics ingested from Kubernetes clusters along with logs can be used with Elastic’s Machine Learning anomaly detection capability to reduce your time analyzing all that data.