New capability allows DevOps, security and
business teams to compose advanced queries that dynamically join,
enrich and transform logs with contextual data
NEW
YORK, June 26, 2024 /PRNewswire/ -- Datadog,
Inc. (NASDAQ: DDOG), the monitoring and security platform for
cloud applications, today announced Log Workspaces, a suite of
capabilities in a powerful, collaborative space that allows
analysts and engineers from all teams in an organization to connect
logs and other datasets, and build multi-stage queries that allow
for sophisticated analytics to answer complex questions on
business, security and application issues.
DevOps, security and business teams often need
multi-dimensional, cross-domain analysis of logs in order to
investigate incidents, improve security posture and extract
relevant insights for their reports. Engineering teams require a
deep understanding of logs from multiple sources to assess user and
business impact during incidents, while security teams need the
ability to run forensic analysis or proactively investigate
historical logs to uncover unpredictable patterns and assess
vulnerabilities that could lead to breaches.
Log Workspaces extends the current Datadog log search
capabilities by allowing users to connect logs and other datasets
and SaaS applications to derive key insights that would ordinarily
require a number of specialized data extraction, manipulation and
visualization tools.
"Extract, transform and load tools, spreadsheets or programming
languages like Python require specialized knowledge and can be
error prone and tedious for teams to use. Existing log management
tools aren't always a better solution, however, as they leverage
proprietary query languages that come with high learning curves and
costly dedicated resources," said Pranay
Kamat, Director of Product at Datadog. "Log Workspaces
provides an intuitive way to write complex queries, visually
breaking down every step as teams connect different data sources,
join them based on the use case, and enrich and transform them to
match their needs."
Log Workspaces helps DevOps, security and business teams:
- Compose Complex Queries Visually: Using a natural
language prompt with BitsAI and a no-code, point-and-click
experience, users can chain together different queries to perform
complex analysis by parsing, transforming and enriching logs at
query time.
- Build and Share Powerful Reports: Teams can join
multiple datasets together to compose sophisticated reports in a
collaborative environment and reference data from external sources,
such as Salesforce for deeper investigations and insights.
- Transform Data for Efficient Remediation: Utilize output
from queries made in other workspaces as datasets, and
collaboratively refine data transformations to create
visualizations used in automations and troubleshooting
workflows.
Log Workspaces is available in beta now. To learn more, please
visit: https://www.datadoghq.com/blog/log-workspaces.
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
View original content to download
multimedia:https://www.prnewswire.com/news-releases/datadog-announces-log-workspaces-a-workbench-for-extracting-insights-from-log-data-302182348.html
SOURCE Datadog, Inc.