Today I’m happy to launch the OverOps Platform, which includes many new features that extend our value to DevOps and SREs.

The full press release is available right here.

We started OverOps because, as developers, we were faced with the challenge of troubleshooting production issues using log files, and were frustrated by the limited information they provide. It often felt like we were fighting with one hand tied behind our backs. So we set out to rethink the way we obtain information about errors and exceptions from our applications and services.

With developers in mind, we built and deployed foundational technology that not only captures complete code-aware information for every error and exception, but does so securely and without changes to the code. We’ve learned a lot along the way, and have grown an incredible customer base that uses the product and have been instrumental in shaping it into the offering it is today. Developers love the code-aware insight that only we deliver.

Much has evolved since we started OverOps. Containers and microservices have become a default standard for the way we architect new applications. We’ve also seen the rise in importance of DevOps and SRE roles, which is ushering in a whole new level of cooperation between dev and operations. And all the while, we have worked closely with DevOps and SREs as they have been involved in helping us implement OverOps with our customers.

Soon we found out that DevOps loves us as well. They see value in our data––not just in the ARC analysis screen that devs were using, but also in the raw, code-aware machine data we capture––but in aggregate form. They saw the potential our data had to do everything from improving the quality gates and feedback loops in CI/CD code promotion, to identify anomalies, to enhance other tools in the software delivery supply chain. With this deep machine data at their fingertips, they could gain deeper, code-aware insight into the overall quality and reliability of the applications they are responsible for. Most importantly, they saw value that could be shared with development and they asked for direct access to our data.

We listened and today we are happy to introduce OverOps Platform, which includes several new features that open up and extend our value to DevOps. Now, our unique, code-aware data can help address pain points for DevOps and SRE teams. This new set of features includes an API, Grafana dashboards, custom extensions and a machine learning engine.

Personally, I am most excited by the API and how it allows us to integrate into the dashboards and metrics hubs that IT operations use to investigate and monitor their applications. For the first time, these teams can get granular access to issues and overall reliability by release or deployment. They can now see trends in reliability over time. For instance, check out these two dashboards: The first shows our data being represented in Grafana and the second in Splunk. Both were designed and implemented by our customers using the new features in OverOps Platform.

dashboard throughput
OverOps data in Grafana
real-time application state
OverOps data in Splunk

The launch of OverOps Platform marks an important milestone in our evolution, and we could not have achieved this without the continued support of our users. We are incredibly grateful to all the customers that helped us not only identify the opportunity in our data, but also build the right features and capabilities to realize its potential. It is your feedback that helped inform this release.

Finally, I would be remiss if I didn’t thank the OverOps team. Your passion for listening to and meeting the needs of our customers is unrivaled. Thank you.

Next week, we will publish a deep dive into the features of this release, but until then, I invite you to read the press release and sign up for our webinar that will break down our newest features and capabilities.

The full press release is available right here.

Tal is the CTO of OverOps. Tal has been designing scalable, real-time Java and C++ applications for the past 15 years. He still enjoys analyzing a good bug though, and instrumenting code. In his free time Tal plays Jazz drums.