Datadog (DDOG) Announces Log Workspaces

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.

You May Also Be Interested In