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Honeycomb Launches Support For New GitHub Actions Deployment Protection Rules

Honeycomb announced the new Honeycomb Deployment Protection Rule to support the public beta announcement of GitHub Actions Deployment Protection Rules.

Innovation is the lifeblood of any company. Yet increasingly complex and distributed cloud systems make it harder for engineering teams to predict the behavior of new releases when deploying their code to production. Deploying to production can be stressful for some engineering teams because they can't see small changes to application performance. Too often, these teams can only see issues once they've become a much bigger problem: impacting users. Honeycomb helps engineering teams confidently deploy features quickly and often by streamlining the build and release process and integrating observability into their CI/CD pipelines.

"Honeycomb's Deployment Protection Rule enables teams to improve governance within their CD processes in GitHub Actions by setting specific thresholds based on data within Honeycomb, ultimately ensuring only code that meets the customer's standards actually gets deployed to production," said Matthew Manning, Business Development Manager at GitHub. "This is important for organizations and developers, as it helps add an additional layer of protection that can help catch performance issues that might otherwise slip through."

In partnership, Honeycomb is thrilled to support the new GitHub Actions Deployment Protection Rules feature, an automatic gating mechanism for your GitHub Actions workflows. Before this release, only specific gating mechanisms (like manual approvals) existed for deployments in GitHub Actions. Now,  any GitHub App can provide deployment protection rules that make automatic deployment decisions in your workflows. The Honeycomb Deployment Protection Rule, available as GitHub App, lets developers use Honeycomb query results to decide whether it's safe for their deployment to proceed.

"In order to become a high-performing team that deploys confidently, you have to nail the art of doing less, which includes continuous learning, best practices, and tooling that helps you accomplish more with the same amount of effort," said Charity Majors, CTO of Honeycomb. "No engineer ever got burned out from innovating and shipping too much. They get burned out from shipping too little relative to their efforts."

Allowing Honeycomb users to gate deployments with query data isn't intended to replace their pre-deployment CI checks. Instead, it's a complementary and additional layer of protection that can help teams catch real-time performance issues that might otherwise slip through CI unnoticed. Using real staging or canary data from Honeycomb to prevent a deployment provides additional safety against a CI/CD workflow catastrophically breaking production.

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Honeycomb Launches Support For New GitHub Actions Deployment Protection Rules

Honeycomb announced the new Honeycomb Deployment Protection Rule to support the public beta announcement of GitHub Actions Deployment Protection Rules.

Innovation is the lifeblood of any company. Yet increasingly complex and distributed cloud systems make it harder for engineering teams to predict the behavior of new releases when deploying their code to production. Deploying to production can be stressful for some engineering teams because they can't see small changes to application performance. Too often, these teams can only see issues once they've become a much bigger problem: impacting users. Honeycomb helps engineering teams confidently deploy features quickly and often by streamlining the build and release process and integrating observability into their CI/CD pipelines.

"Honeycomb's Deployment Protection Rule enables teams to improve governance within their CD processes in GitHub Actions by setting specific thresholds based on data within Honeycomb, ultimately ensuring only code that meets the customer's standards actually gets deployed to production," said Matthew Manning, Business Development Manager at GitHub. "This is important for organizations and developers, as it helps add an additional layer of protection that can help catch performance issues that might otherwise slip through."

In partnership, Honeycomb is thrilled to support the new GitHub Actions Deployment Protection Rules feature, an automatic gating mechanism for your GitHub Actions workflows. Before this release, only specific gating mechanisms (like manual approvals) existed for deployments in GitHub Actions. Now,  any GitHub App can provide deployment protection rules that make automatic deployment decisions in your workflows. The Honeycomb Deployment Protection Rule, available as GitHub App, lets developers use Honeycomb query results to decide whether it's safe for their deployment to proceed.

"In order to become a high-performing team that deploys confidently, you have to nail the art of doing less, which includes continuous learning, best practices, and tooling that helps you accomplish more with the same amount of effort," said Charity Majors, CTO of Honeycomb. "No engineer ever got burned out from innovating and shipping too much. They get burned out from shipping too little relative to their efforts."

Allowing Honeycomb users to gate deployments with query data isn't intended to replace their pre-deployment CI checks. Instead, it's a complementary and additional layer of protection that can help teams catch real-time performance issues that might otherwise slip through CI unnoticed. Using real staging or canary data from Honeycomb to prevent a deployment provides additional safety against a CI/CD workflow catastrophically breaking production.

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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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...