Datadog Introduces Logging Without Limits

Datadog, the leading monitoring and analytics platform for modern cloud
environments, today announced the availability of “Logging Without
Limits” — a set of new capabilities that markedly changes how logs are
used by engineering teams. Organizations will now be able to ingest and
archive all of their logs and decide which to index for monitoring (and
be charged for) either dynamically, or after the logs are archived. This
will allow engineers to collect every single log produced by their
applications and infrastructure while precisely managing costs.

Traditionally, log management vendors price their solutions based on the
amount of log data sent to them daily for indexing, forcing engineering
teams to determine which higher-value logs to send to a log management
solution, and which lower-value ones to “filter” out. This approach does
not work for modern cloud-scale applications, where due to frequent
changes in the application, new sources of logs come online
automatically, and where parts of an application that may not have been
deemed high priority can originate issues. Because cloud-scale
applications generate millions of log events a minute, it either becomes
cost prohibitive to send all logs to a log management system, or an
impossible technical challenge to determine what logs will be needed for
troubleshooting during the next incident.

Datadog’s newly released “Logging Without Limits” capabilities are
designed to help engineers managing complex cloud-scale applications use
logs in a cost-efficient, centralized way. This has been made possible
by decoupling ingestion and indexation costs. Specifically these
features work together to allow for:

Ultimately, these new capabilities will allow organizations to send all
of their logs to a management solution, and only be charged for the
specific logs that are deemed to be of value, even when that
determination occurs far in the future after the logs were generated.

“Log management tools have become cost prohibitive for modern cloud
applications. This has stemmed from archaic metering in log management
products that simply doesn’t work in a world of horizontally scaling
applications and microservices,” said Renaud Boutet, Director of Product
Management at Datadog. “Datadog’s new Logging Without Limits puts
control of log management back in the hands of the engineers who can
pick and choose which logs to retain, and at what time periods, with
surgical precision, while keeping real-time visibility over the fully
ingested stream.”

“Log data is an invaluable resource for feeding automated
analytics platforms and providing IT teams critical visibility. Ideally
customers would not feel pressured to remove valuable log data simply to
reduce costs,” said Eric Ogren, Senior Analyst at 451 Research.

“We have been searching for an alternative to our homegrown, open source
logs solution for years,” said Prakash Janakiraman, Co-Founder and Chief
Architect at Nextdoor, “but due to the volume of log data in our
environment, it’s always been too cost prohibitive. Datadog’s ability to
filter the exact logs we need, and retain what’s most valuable for
specific time periods, has enabled us to cover everything within budget.
Not only are all of our logs now managed in one platform, they are
unified together with our system metrics and application traces,
allowing us to find and fix performance issues faster.”

General Availability and Pricing

“Logging Without Limits” was announced at Dash, Datadog’s new conference
for engineers who are building and scaling the next generation of
applications, infrastructure, and technical teams. These capabilities
are now generally available within Datadog for existing customers and
new users. Log retention pricing begins at $1.27 per million logs per
month for a 7 day retention period.

Also Announced by Datadog at Dash

Datadog also announced Trace Search, a high cardinality application
trace querying capability, and Watchdog, a machine learning based
autonomous monitoring capability, at Dash in New York City today.

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

Additional Resources:

Logging Without Limits 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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