On-Call seamlessly combines paging and
observability telemetry to mobilize responders with more
context
NEW
YORK, June 26, 2024 /PRNewswire/ -- Datadog,
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:
- Act Quickly and Stay Informed: Paging with
integrated observability and seamless incident management ensures
critical insights and data are readily available within 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 Ownership: Break down
knowledge silos and avoid confusion by associating teams with their
respective services to simplify configuration, address ownership
gaps and ensure the right responders are paged during an alert.
Instantly trace 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 enhancing overall team
coordination.
- Measure On-Call Performance: Rich and customizable
analytics measure on-call performance to help ensure system
reliability, improve mean-time-to-resolution and optimize the
well-being of on-call 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.
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 the Securities Act, and Section 21E of the
Securities Exchange Act of 1934, as amended including statements on
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 the
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 that are beyond our
control, including those risks detailed under the caption "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 November 7, 2023, as well as 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, changes
in expectations or otherwise.
Contact
Dan
Haggerty
press@datadoghq.com
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SOURCE Datadog, Inc.