Introducing Datadog On-Call to provide paging capabilities with improved observability and unified incident management

On-Call seamlessly combines paging and telemetry monitoring to mobilize emergency responders with more context

NEW YORK, 26 June 2024 /PRNewswire/ — Datadog, Inc. (NASDAQ: DDOG), the cloud application monitoring and security platform, today announced Datadog On-Call, a modern on-call experience with observation-enhanced paging and seamless incident management workflows. Datadog On-Call instantly coordinates teams with relevant context for faster problem resolution, better incident control, and improved collaboration.

DevOps, SRE, security, and IT operations teams need to maintain high service levels but face challenges such as overwhelming alerts, confusion over dynamically changing service ownership, disjointed paging strategies, coverage gaps, and scheduling issues that make it difficult to understand, prioritize, and resolve issues quickly. Traditional on-call systems provide workflows only for paging, while point solutions provide no observability context, workflows, or data, resulting in information gaps that increase resolution times.

By bringing together observability and paging into one seamless platform, Datadog On-Call solves these problems and eliminates the inefficiencies of multiple disjointed tools, allowing engineers to focus on resolving incidents quickly and effectively without the added stress of context switching or missing important information.

“Over a million people at the world’s most recognized and innovative companies rely on our product development software to capture customer requests, create visual roadmaps, and develop with confidence. Ensuring responsive, available, and secure services is key to our success. By using Datadog On-Call in conjunction with the APM and infrastructure monitoring tools, our operations team can quickly respond to issues as they arise. Our engineers benefit from having the full context of our system at all times, allowing us to deliver an engaging experience to our customers,” said Chris WatersPhD, CTO at Aha! Labs Inc.

“On-call is one of the most challenging aspects of an engineer’s job, as redundant service configurations between different tools can lead to unstable, error-prone setups. The overall burden of maintaining on-call schedules and the ambiguity around service and team responsibilities make the job a grueling ordeal, especially during critical times,” said Michael WhettenVP of Product at Datadog. “Datadog On-Call addresses these pain points with a team-centric design that clarifies ownership, reduces redundancy, and minimizes errors. This approach ensures that every team member knows their role and responsibilities, resulting in faster, more effective incident response.”

Datadog On-Call supports DevOps, SRE, security and IT operations teams:

• Act quickly and stay informed: Paging with built-in observability and seamless incident management ensures that critical insights and data are instantly available on a single platform, eliminating the need for context switching.
• Connect with the tools they use every day: On-Call integrates with a rich ecosystem of third-party monitoring, alerting, and service management tools, so teams don’t have to learn new workflows or spend resources on training.
• Ensure clear service and team responsibility: Break down knowledge silos and avoid confusion by assigning teams to their respective services. This simplifies configuration, closes responsibility gaps, and ensures that the right people are notified when an alarm occurs. Instantly track upstream and downstream services affected by an outage or issue.
• Implement intuitive scheduling and notifications: Automate scheduling and escalation policies to ensure continuous coverage and timely responses, reducing the burden on individual team members and improving overall team coordination.
• Measure on-call performance: Comprehensive and customizable analytics measures on-call performance to ensure system reliability, improve mean time to resolution, and optimize on-call team satisfaction.

Datadog On-Call is now in beta—Login here. For more information, see: datadoghq.com/blog/datadog-on-call/.

About Datadog

Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security, and many other capabilities to provide unified, real-time observability and security across 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, drive collaboration between development, operations, security, and business teams, accelerate application time to market, reduce time to resolution, secure applications and infrastructure, understand user behavior, and track key business metrics.

Forward-looking statements

This press release may contain certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors beyond our control, including those risks listed under the heading “Risk Factors” and elsewhere in our filings and reports with the Securities and Exchange Commission, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on 7 November 2023and future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changed expectations or otherwise.

Contact
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SOURCE: Datadog, Inc.