After adding new features in June we worked on fixing some minor bugs and improving the stability of our service. We’re happy to announce that besides those fixes, we were also able to introduce a major update to our heartbeat (background job) monitoring. It was requested by many, so let’s take a look at the details!

Archiving is in and your logs are here to stay! We develop features that streamline the log management processes for our users. Logs are information assets, and we understand that you need to retrieve, re-asses and draw insights from your historic logs. observIQ offers a simple integration with Amazon Web Services (AWS) for extended retention. It takes less than 30 seconds to set up and archive logs directly to an S3 bucket in your AWS account.

When you’re troubleshooting an application on Google Kubernetes Engine (GKE), the more context that you have on the issue, the faster you can resolve it. For example, did the pod exceed it’s memory allocation? Was there a permissions error reserving the storage volume? Did a rogue regex in the app pin the CPU? All of these questions require developers and operators to build a lot of troubleshooting context.

The power of community makes Grafana one of the most composable platforms for monitoring and observability across a wide variety of use cases. The Grafana Plugin Directory features not just plugins created by our team here at Grafana Labs, but by Grafana community members all over the world. It’s the best place to browse for new data source integrations, panels, and applications you can install on your dashboard to extend Grafana’s functionality.

Komodor is a Kubernetes-native platform we’ve created to streamline troubleshooting. It was born out of frustrations we felt as developers, when we were required to waste hours of our time on troubleshooting, instead of focusing on what we really wanted to do - creating and innovating. Komodor sits on top of your K8s cluster and integrates with every existing tool you have, be it CI/CD, repo, monitoring, alerting, or communication.

You can learn a lot about an organization by looking at their data. For example, if I see “LoanToValue” (LTV) or “CollateralValue,” I could surmise they deal with financial data—specifically loans—in some fashion. Developers and database administrators with domain knowledge about the intrinsic meaning of the data are precious friends. These individuals understand the meaning behind the data and how it works within the applications of the organization.

The Citrix Ready team recently recorded a podcast with eG Innovations for their Tech Fusion podcast series. Hosted by Neil C. Hughes from The Tech Blog Writer, Rachel Berry from eG Innovations’ product team, and CTP, Richard Faulkner, (Enterprise Solutions Architect, Conversant Group) discussed how eG Enterprise enhances and goes beyond native Citrix tools.