Running systems in production involves requirements for high availability, resilience and recovery from failure. When running cloud native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running.

Looking for a way to proactively troubleshoot complex application performance issues? Look no further than Tanzu Observability by Wavefront, which provides easy data ingestion and preconfigured dashboards and can be set up with Spring Boot and Spring Cloud Data Flow (SCDF) integrations.

Editor’s note: This post is a collaboration between Tim Tully, Splunk CTO, and Spiros Xanthos, Splunk’s vice president of product management for observability and IT Ops and previously the founder and CEO of Omnition. My love for the open-source software movement began with Linux in the ’90s and grew during my time at Yahoo! in the early days of Hadoop.

At Honeycomb, we talk a lot about eating our own dogfood. Since we use Honeycomb to observe Honeycomb, we have many opportunities to try out UX changes ourselves before rolling them out to all of our users. UX doesn’t stop at the UI though! Developer experience matters too, especially when getting started with observability. We often get questions about the difference between using our Beeline SDKs compared with other integrations, especially OpenTelemetry (abbreviated “OTel”).