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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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