OverOps announced support for git blame and automated source attach, enabling faster error resolution and increased developer productivity.
By integrating with leading code repositories like GitLab and GitHub, OverOps helps engineering teams faced with critical errors to quickly identify who last committed or edited an offending line of code. Combined with OverOps' deep error context and automated alert routing, git blame support empowers engineering teams to quickly arm the right developer with the right data to reproduce and resolve any issue before customers are impacted.
With OverOps' new support for git blame and automated source attach, engineering teams are armed with rich root cause data about every error, and have the ability to automatically identify the developer that owns the code and route it back to them so that the issue can be addressed in real-time.
By integrating with GitLab and GitHub code repositories, OverOps empowers development teams to:
- See who was the last author who changed the code across the call stack of each error in their git tool of choice.
- Link errors to commits and view the latest code changes directly in their git repository.
- Assign every new and critical issue to the right developer responsible for fixing it.
- Capture detailed error snapshots with the source code and variable state for every error, reducing reliance on manual troubleshooting methods.
- Build an effective DevOps culture that embraces a "you code it, you own it" mentality.
"The pressure to move fast in today's pipeline leaves little time for ensuring that code is production-ready. This, in turn, puts pressure on teams' ability to identify and resolve errors as quickly as possible so that minimal harm is done," said Eric Mizell, VP Solution Engineering at OverOps. "OverOps support for git blame, as well as our automated source attach, helps to streamline the error resolution process, improving productivity, encouraging a culture of accountability, and empowering developers with code-level visibility across the entire pipeline."
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...