Datadog On-Call Launches to Deliver Observability-Enriched Paging and Unified Incident Management Capabilities | Datadog
Datadog On-Call Launches to Deliver Observability-Enriched Paging and Unified Incident Management Capabilities

Datadog On-Call Launches to Deliver Observability-Enriched Paging and Unified Incident Management Capabilities

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

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

June 26, 2024

2:00 PM UTC

Published by PR Newswire

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NEW YORKDatadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced Datadog On-Call, a modern on-call experience with observability-enriched paging and seamless incident management workflows. Datadog On-Call instantly coordinates teams with relevant context for faster issue resolution, better incident control and improved collaboration.

DevOps, SRE, Security and IT Operations teams need to maintain high levels of service, but they face challenges such as overwhelming alerts, confusion over dynamically shifting 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 offer workflows only for paging, while point solutions do not offer observability context, workflows or data, resulting in information gaps that lengthen resolution times.

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

“Over one million people at the best-known and most innovative companies trust our product development software to capture customer requests, create visual roadmaps, and build with confidence. Ensuring responsive, available, and secure services is key to our success. Using Datadog On-Call in concert with the APM and Infrastructure monitoring tools allows our operations team to respond quickly to any issues that arise. Our engineers benefit from having the full context of our system at all times, which enables us to deliver a lovable experience to our customers,” said Chris Waters, PhD, CTO at Aha! Labs Inc.

“Being on-call is one of the most challenging aspects of an engineer’s job, where redundant service configurations between various tools can lead to brittle, error-prone setups. The general overhead of maintaining on-call schedules and the ambiguity around service and team ownership make it a grueling ordeal, especially during critical times,” said Michael Whetten, VP 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, leading to quicker and more effective incident response.”

Datadog On-Call helps DevOps, SRE, Security and IT Operations teams:

Datadog On-Call is in beta now— sign up here. To learn more, please visit: 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 for 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 among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

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