Operations | Monitoring | ITSM | DevOps | Cloud

How do you not take failure personally, but instead use it as a tool for growth? Shailesh Kumar, SVP of Engineering at ClickUp, sits down with Rob to share his experiences being a part of numerous organizations on the brink of major growth. As head of engineering, Shailesh has had to manage his teams through difficult circumstances like platform stability challenges with a healthy dose of trial and error.

Mezmo, formerly LogDNA, is a comprehensive platform that makes observability data consumable and actionable. It fuels massive productivity gains for modern engineering teams at hyper-growth startups and Fortune 500 companies. Get insights where they matter most with real-time intelligence powered by Mezmo.

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.

PCA Technology has been with N-able for more than 15 years, and as they continue to grow and leverage N-central, they're now seeing great results from incorporating Cove Data Protection for backup.

Lazar, Shana, and Krystof are working on the Sentry + Fullstory React Native package.

Networking in multi-cloud / hybrid cloud / data center environments continues to grow in complexity and so does the inherent challenge of monitoring traffic and resource utilization. Join industry expert and podcaster Eric Wright as he leads a discussion with Kentik and Alkira about observability practices and methods for network, cloud, virtualization, and application ops teams. What you’ll learn.

This video reviews the prerequisites for scripted installation, execution of the script command and explanation of modifiable pre-installation environment variables for an Ubuntu 22.04 environment.

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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.