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Lightstep Announces New GitHub Action

Lightstep announced their new GitHub Action called the Lightstep Pre-Deploy Check.

By automatically bringing relevant Observability data directly into the development workflow on GitHub, software developers can ensure the quality and performance of their software, before it’s actually deployed.

“This is a big shift left for how developers think about Observability,” said Daniel Spoonhower, Co-Founder and CTO of Lightstep. “DevOps is about acknowledging that it’s not good enough to ship code without worrying about how it performs in the real world. I very much believe in ‘you build it you own it’ -- but I also believe that we need to make this easier by baking solutions into existing development workflows as much as possible, by automating as much as possible.”

“Automatically confirming production systems and services are healthy before deploying code that can impact them is a great step towards ensuring reliability, without compromising developer velocity,” said Chris Patterson, Product Manager for GitHub Actions at GitHub. “By bringing Observability data directly into the pull request process on GitHub, developers can avoid context switching, gain more ownership of how their code performs in production, and better support DevOps within their organization.”

The Lightstep Pre-Deploy Check leverages publicly-available APIs from Lightstep to provide a deployment risk summary ahead of a code change going to a production environment. The information from the risk assessment is then automatically pulled directly into the GitHub pull request through a GitHub Action.

Lightstep has also partnered with Rollbar and PagerDuty to bring even more information directly into GitHub. For example, if Lightstep completes a risk assessment and determines that the system is unhealthy, it can automatically take a snapshot of the production behavior in real-time and send it to PagerDuty, so the full details of the issue can be examined even if the developer was not there at the moment the issue started.

“We see direct value to developer effectiveness with the Lightstep Pre-Deploy Check,” said Steve Gross, Sr. Director, Strategic Ecosystem Development at PagerDuty. “Now developers automatically have PagerDuty on-call details inside of a pull request, alongside system health details, at their fingertips in one screen.”

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Lightstep Announces New GitHub Action

Lightstep announced their new GitHub Action called the Lightstep Pre-Deploy Check.

By automatically bringing relevant Observability data directly into the development workflow on GitHub, software developers can ensure the quality and performance of their software, before it’s actually deployed.

“This is a big shift left for how developers think about Observability,” said Daniel Spoonhower, Co-Founder and CTO of Lightstep. “DevOps is about acknowledging that it’s not good enough to ship code without worrying about how it performs in the real world. I very much believe in ‘you build it you own it’ -- but I also believe that we need to make this easier by baking solutions into existing development workflows as much as possible, by automating as much as possible.”

“Automatically confirming production systems and services are healthy before deploying code that can impact them is a great step towards ensuring reliability, without compromising developer velocity,” said Chris Patterson, Product Manager for GitHub Actions at GitHub. “By bringing Observability data directly into the pull request process on GitHub, developers can avoid context switching, gain more ownership of how their code performs in production, and better support DevOps within their organization.”

The Lightstep Pre-Deploy Check leverages publicly-available APIs from Lightstep to provide a deployment risk summary ahead of a code change going to a production environment. The information from the risk assessment is then automatically pulled directly into the GitHub pull request through a GitHub Action.

Lightstep has also partnered with Rollbar and PagerDuty to bring even more information directly into GitHub. For example, if Lightstep completes a risk assessment and determines that the system is unhealthy, it can automatically take a snapshot of the production behavior in real-time and send it to PagerDuty, so the full details of the issue can be examined even if the developer was not there at the moment the issue started.

“We see direct value to developer effectiveness with the Lightstep Pre-Deploy Check,” said Steve Gross, Sr. Director, Strategic Ecosystem Development at PagerDuty. “Now developers automatically have PagerDuty on-call details inside of a pull request, alongside system health details, at their fingertips in one screen.”

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Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...