Troubleshooting applications in Kubernetes can be a daunting task but it doesn’t have to be that way. Let us show you how — starting with a live demo of how to solve 5xx HTTP errors quickly and easily. Watch this webinar to see how StackState's troubleshooting solution can give you the guidance you need to easily remediate those troublesome errors and many other issues you are likely facing in your Kubernetes applications and services.

Succeed with ITSM Integration. Watch this 20-min session to hear Densify’s experts discuss their findings from the field and walk through the 5 key requirements of ITSM integration for resource optimization.

Forrest and Jake join us this week to cover the new features in Process Automation 4.11.0. Peco Karayanev shows off the next-generation architecture for Process Automation Runners and how users will benefit from the enhancements.

Stepping through a trace is an invaluable debugging workflow, providing a way to follow requests from service to service even as the applications we manage become more complex and distributed. That same complexity can make getting started with distributed tracing feel overwhelming, but it’s important to remember that instrumenting your code is an additive process—you don’t need to boil the ocean. A trace through a thousand services starts with a single ID.

Chris Bertinato, Software Architect at NS1, and Nate Daly, Head of Architecture at NS1 along with Jessica Kerr, Honeycomb Developer Advocate, and Account Executive Scott Phillips discuss how NS1 used distributed tracing to scale their organization and accelerate their migration from a monolith to microservices.

Welcome to The Authors’ Cut Series

Istio service meshes enable organizations to secure, connect, and monitor microservices to modernize their enterprise apps more swiftly and securely. With the addition of distributed tracing and powerful observability tooling, platform operators can gain immediate actionable insights about their applications.

Learn how Intercom implemented Honeycomb’s distributed traces to learn about production. Kesha Mykhailov, Product Engineer at Intercom joins Honeycomb Developer Advocate Jessica Kerr, and Account Executive Michael Wilde to discuss how Intercom uses distributed traces to streamline their observability workflows, allowing their product engineers to learn about and from their production to increase Intercom’s resilience. Topics include.

Udaybhasker Challa, Monitoring Engineer at Guardian Life Insurance reviews how Guardian's Kubernetes/EKS environments are being monitored by Zenoss. This will include discussion on pods, containers and autoscaling node alerts, and will show the relationship of cluster components through Zenoss Service Impact.

Datadog is an observability and security platform that ingests and processes tens of trillions of data points per day, coming from more than 22,000 customers. Processing that amount of data in a reasonable time stretches the limits of well known data engines like Apache Spark. In addition to scale, Datadog infrastructure is multi-cloud on Kubernetes and the data engineering platform is used by different engineering teams, so having a good set of abstractions to make running Spark jobs easier is critical.