Datadog Announces Global Search and Analytics for Application Traces

Datadog, the leading monitoring and analytics platform for modern cloud
environments, today announced the availability of Trace Search and
Analytics. This new capability allows engineers to explore, graph, and
correlate high cardinality application performance data. With Trace
Search and Analytics, users can pinpoint exact traces for specific
customers by filtering on key business and application attributes such
as usernames, customer, host, domain SKUs, dollar value, etc.

When an issue occurs in a modern application, finding the trace that
identifies the root cause becomes essential to remediating the problem.
Finding these “needles in a haystack” has required developers to write
labor intensive queries that are prone to slowness, inaccuracies, and
delays during critical production issues.

Datadog’s Trace Search and Analytics offers a search-engine-like
experience where results update in real-time as a user types in their
search criteria. This is a significant speed advantage when sifting
through application data during an outage. Notably, using this search
capability does not require writing in a specialized query language,
allowing any user to explore trace data on-the-fly immediately.

Furthermore, the search results can also be quantified, graphed, and
compared using these same attributes without limits of cardinality.
Lastly, trace search results are tightly integrated with performance
data from logs and infrastructure metrics so users can correlate a
specific trace to the performance of the underlying application
infrastructure to pinpoint the root cause of an issue.

“Trace Search and Analytics in Datadog APM has allowed our engineering
team to focus our application performance monitoring on specific
customers and correlate their experiences to the health of the
underlying infrastructure,” said Hemant Kataria, Sr. DevOps Manager at
Zendesk. “This functionality is now used across Zendesk in performance
investigations, capacity planning, and post-mortems.”

“Trace Search and Analytics is the next evolution of Datadog’s APM
Product and is a direct response to our customers’ need to quickly find
specific traces to determine the root cause of an incident,” said Brad
Menezes, Director of Product Management at Datadog. “I’ve been excited
to watch users adopt this functionality and change their daily workflow
— it makes it clear that the ability to slice and dice application
metrics on-the-fly without cardinality limitations is a killer feature
for customers.”

According to Gartner, Inc. “Drastic changes are occurring that are
challenging these traditional tool types, and will force users of these
technologies to re-evaluate their function.” These include, “the
explosion of the variety, volume and velocity of IT data that will force
IT to come up with new ways to mine this data for actionable insights
toward achieving optimum availability and performance… Each of these
aspects will force IT operations to alter how monitoring is done, both
from a tooling perspective and a process and skills perspective.” 2018
Strategic Roadmap for IT Operations Monitoring Published 22 June 2018

General Availability and Pricing

Trace Search and Analytics was announced at Dash, Datadog’s new
conference for engineers who are building and scaling the next
generation of applications, infrastructure, and technical teams. This
capability is now available within Datadog for all existing customers
and new users. Pricing for Trace Search and Analytics begins at $1.27
per million trace events per month.

Also Announced by Datadog at Dash

Datadog also announced Watchdog, a machine learning based autonomous
monitoring capability, and Logging Without Limits, new capabilities that
completely change how logs are used by DevOps teams, at Dash in New York
City today.

For more information, and to start a free 14-day trial, please visit:

Additional Resources:

Trace Search and Analytics Blog Post:

About Datadog

is a monitoring service for hybrid cloud applications, assisting
organizations in improving agility, increasing efficiency, and providing
end-to-end visibility across the application and organization. These
capabilities are provided on a SaaS-based data analytics platform that
enables Dev, Ops and other teams to accelerate go-to-market efforts,
ensure application uptime, and successfully complete digital
transformation initiatives. Since launching in 2010, Datadog has been
adopted by more than 8,000 enterprises including companies like Asana,
AT&T, Evernote, Samsung, Seamless, and The Washington Post.

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