Datadog provides industry-leading observability for software development and testing pipelines

NEW YORK, October 26, 2021 / PRNewswire / – Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced the general availability of its Continuous Integration (CI) visibility product. With insights into continuous integration pipelines, CI Visibility enables developers and engineering organizations to quickly determine and resolve the root cause of issues found in build and test pipelines.

Today, companies are increasingly adopting agile development practices, with frequent code changes and continuous deployments. As changes are made to an application, finding the root cause of a problem found during build and testing until a specific code change has become increasingly complex and time consuming. These difficulties cause significant delays in the release of new software features and bug fixes.

Datadog CI Visibility provides advanced monitoring and observability capabilities that not only help development and engineering teams understand when a problem occurs in their CI pipeline, but also provide information to help identify why the problem is occurring. product and how to solve it. It does this by providing deep end-to-end visibility into every stage of your development pipeline and every stage of your test execution history. This new capability enables engineering teams to quickly resolve IC issues and maintain more efficient and reliable pipelines.

“Great experiences that allow developers to stay in the flow and do more are at the heart of everything we do at GitHub,” said Erica Brescia, COO, GitHub. “We recently partnered with Datadog to integrate Actions – the # 1 CI service for public and private repositories on GitHub with Datadog’s new CI Visibility product to bring insights to Developer Actions pipelines. This experience offers a whole new level of observability where developers need it and allows them to build, test and ship faster. We’re excited to continue our partnership with Datadog and further improve the experience for developers around the world.

“Improving DevOps performance requires transparent monitoring of KPIs such as frequency and speed of release,” said Nima Badiey, vice president of global alliances at GitLab Inc. “Datadog CI Visibility helps Datadog users monitor their GitLab CI / CD pipeline events and job information to gain insight, granular insight into the pipeline and test performance over time. Operational insight is critical to shipping code faster and more efficiently. “

“The combined power of Datadog and CircleCI makes life easier for DevOps teams. Information from CircleCI can easily be integrated into Datadog users’ workflows to help them make even more informed decisions when an event occurs in their pipeline, ”said Tom trahan, Vice President of Business Development, CircleCI. To augment this data with observability information, users can leverage Datadog CI Visibility to visualize key metrics such as build time and failure rates, as well as detect flaky tests to ensure flow of smooth and reliable work. ”

“CI / CD is an integral part of the DevOps toolkit, but until now developers have never had the level of visibility into workflows at an earlier stage that they enjoyed in production,” said Ilan Rabinovich, Senior Vice President, Product and Community, Datadog. “With the release of Datadog CI Visibility, we are delivering industry-leading observability that spans from production environments to pre-production development and testing pipelines. This enables organizations to improve developer productivity by delivering more robust code faster, and ultimately delivering more resilient digital experiences at the speed demanded by today’s customers. “

Datadog’s CI Visibility product offers:

  • Pipeline visibility: View pipeline data between CI providers in a single window and identify opportunities to improve the performance and reliability of your workflows.
  • Test visibility: Identify and debug flaky tests before they degrade the reliability of your test suites.
  • Advanced performance analysis: Track the historical performance of your tests to identify regressions over time and view the code commit that introduced the flaky test. View each service a test interacts with to understand why tests fail, automatically flag common errors to reveal systemic issues, and correlate test results with associated logs and network performance data.
  • Support for heterogeneous environments: Out-of-the-box support for multiple CI providers including Buildkite, CircleCI, GitHub Actions, GitLab, and Jenkins, as well as instrumentation for testing in multiple languages ​​including Java, JavaScript, .NET, Python, Ruby and Swift.

CI Visibility pricing starts at $ 20 per user. For more information, please visit http://www.datadoghq.com/blog/datadog-ci-visibility

About Datadog

Datadog is the monitoring and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, foster collaboration between development, operations, security and business teams, accelerate time-to-market the application market, reduce problem resolution time, secure applications and infrastructure, understand user behavior, and track key business metrics.

Forward-looking statements

This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or of the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements on the expected benefits of new products and features. These forward-looking statements reflect our current views on our plans, intentions, expectations, strategies and prospects, which are based on information currently available to us and on the assumptions we have made. Actual results may differ materially from those described in forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors beyond our control, including the risks detailed under “Risk Factors”. and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on August 6, 2021, as well as future filings and reports from us. Except as required by law, we assume no obligation or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

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SOURCE Datadog, Inc.

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