Building Your DevOps Stack and Perfecting it with Root Cause Analysis

 ● 18th Aug 2021

2 min read

Things Are Changing Quickly – How Do You Keep Pace?

Over the past few years, we have experienced a shift in the way we deliver applications. We are being forced to innovate faster and deliver higher quality software more frequently. Applications are now commonly built on microservices and using Kubernetes. In response to this, the way we approach the design and delivery of software has changed.

Most would identify the cloud as a main component of this change. While that’s true, let’s dig deeper.

The most impactful change is the application of supply chain concepts to software. We have created a software delivery supply chain – a method to plan, implement, and control the efficient, effective storage and flow of software from concept to customer.

The supply chain concept identifies process improvement to efficiently transform raw materials into physical products and has evolved over time to include concepts of integration, globalization, and specialization. This original evolution (for hard products) took decades. In software, the supply chain evolution has taken just a few years.

This software supply chain has of course evolved into a DevOps team running a CI/CD workflow. And that chain is under ever-increasing pressure for faster releases — yet with continuing expectations of high quality. 

Unfortunately, many teams are commonly not yet aware of a critical piece to keep everything running smoothly: root cause analysis for critical issues. That’s where OverOps helps. OverOps instantly pinpoints at runtime why critical issues break backend Java and .NET applications, eliminating the detective work of searching logs.

Unlike logs, static testing, and APM, that require foresight, OverOps analyzes code at runtime. OverOps requires no code changes, integrates into your existing CI/CD tooling, and does so continuously, from pre-prod through production. That means:

  • 70% MTTR REDUCTION: Reproduce production issues fast, driving down MTTR, and ensuring the customer does not get impacted.
  • 80% FEWER ESCAPED DEFECTS: Improve quality by detecting critical and unknown defects early and prevent them from reaching your customers.
  • 10X IMPROVED PRODUCTIVITY: Stop wasting time troubleshooting to reproduce critical errors in test and production, and instead spend that precious time innovating.

All this is why we developed a free eBook titled Building Your DevOps Stack and Perfecting it with Root Cause Analysis. Download it free today.

Troubleshooting Apache Spark Applications with OverOps OverOps’ ability to detect precisely why something broke and to see variable state is invaluable in a distributed compute environment.
Troubleshooting Apache Spark Applications with OverOps

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