Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, has announced the launch of Incident Management, the company said.
This new product streamlines on-call response workflows for DevOps teams by unifying alerting data, documentation, and collaboration in a centralized pane of glass. Accessing this disparate information from a single location saves DevOps and security teams significant time while they troubleshoot issues and outages.
A performance or security incident can lead to degraded user experience, lost revenue, and damage to a company´s reputation. Every minute that an incident is occurring further increases the number of affected users and transactions.
Currently, on-call engineers and security teams who respond to incidents rely on multiple pieces of data and documentation living in disconnected tools which must all be evaluated simultaneously. Datadog Incident Management brings data, documentation, and collaboration together in a single location which all engineers and security team members can jointly work from. This vastly reduces the time needed to repeatedly query multiple systems for data, as well as the time to “onboard” a new team member coming in to help.
Datadog Incident Management will help teams manage and respond to incidents by allowing users to collect issue signals from across Datadog data sources and declare incidents directly from anomalous graphs or alerts. Incident responders will then be able to document a timeline of each incident and record incident follow-up tasks. The collaboration and data for each incident will be saved in an incident history for post-mortem review and analysis.
Datadog is the monitoring and security platform for cloud applications. It 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.