Guest post: Epsagon announces support of microservice environments running on Microsoft Azure

Date Updated: Wednesday, June 24, 2020

Today we have a guest post from the team at Epsagon. Epsagon provides automated instrumentation and tracing without gaps in coverage, providing full visibility for containers, VMs, serverless and more with no training, manual coding, tagging or maintenance required.

This week, Epsagon is excited to announce that we’re expanding support for applied observability to companies running on Microsoft Azure and microservice-based environments. Organizations today are quickly moving away from monolithic applications in favor of microservices, but finding it challenging to make sense of and correlate the vast amount of data. This often results in long detection, troubleshooting, and resolution times that affect application efficiency and up-time.

Monolith to microservices challenges

Epsagon’s end-to-end applied observability platform enables teams to identify, troubleshoot, and resolve issues quickly within these complex microservice environments, providing up to 90% reduction in resolution times and saving valuable engineering hours every day.

We at Epsagon made the decision to focus our latest release on supporting Azure (specifically Azure Kubernetes Service (AKS)) after seeing consistent trends of growing Azure Cloud and Kubernetes adoption and having conversations with several of our key customers. We’ve also officially launched our partnership with Azure and Epsagon’s solution availability in the Azure Marketplace.

Epsagon's Service Map of Azure and AKS

Companies leveraging Azure for their infrastructure can immediately and fully utilize our platform for automated monitoring and troubleshooting of their AKS environments. Users can integrate Epsagon and their Kubernetes resources rapidly—with auto-discovery, instrumentation, and connection to Azure cloud—in less than five minutes, without making any code changes.

With the new AKS cluster monitoring view, users and teams can understand cluster-level metrics over time for a specific cluster, as well as nodes, pods, containers and deployments associated with that cluster.

“Epsagon was so effective and useful for monitoring, alerting, tracing, and troubleshooting that we are now using it for Kubernetes workloads,” said Andrea Spoldi, Cloud Performance Architect at Docebo. “Epsagon works as a ‘frontline service’ providing visibility into the customer learning experience and the performance of the Docebo platform.”

Epsagon co-founders Ran Ribenzaft and Nitzan Shapira

This announcement is particularly important to Epsagon, as we couldn’t be more excited to start working with the Azure community. We’re confident that our platform’s primary focus of enabling full observability and automating follow-up actions taken will resonate well with tech-forward audiences currently leveraging Azure and multi-clouds. Please be sure to check out our blog and stay up-to-date on releases and news from Epsagon.

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