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The DevOps model can engender faster development cycles and enhanced agility in responding to market needs. Datadog helps organizations foster a culture of observability, collaboration, and data-sharing, all of which are key pillars of the DevOps movement.
“We needed to make it such that a bunch of different teams could move independently and make their own decisions rather than centralizing a lot of decision making and operations through a single team.”
– Steven Verleye, Infrastructure Engineering Manager, BazaarVoice
Datadog helps organizations build a culture of measurement and observability, which in turn provides fast feedback on operational changes to support development velocity and agility. With more than 400 vendor-supported integrations, Datadog provides turn-key visibility into most application and infrastructure components. Extensible instrumentation and open APIs allow teams across the organization to monitor application performance data, infrastructure capacity, and business KPIs all in the same platform.
As one of the core DevOps principles, automation can help speed up development workflows, eliminate error-prone manual processes, and free up technical staff to focus on improving performance and developing new features. Datadog enables organizations to implement monitoring automation with features like Autodiscovery for automatic configuration of monitoring checks, as well as monitoring-as-code integrations with configuration management and deployment tools. Datadog also provides visibility into the health and performance of other tools in the DevOps toolchain, so organizations can ensure that their CI/CD systems, configuration management tools, and orchestration platforms are operating as expected.
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Because DevOps practices emphasize cross-team collaboration, engineers need to understand not only their own systems, but also the upstream and downstream systems that are intertwined with their own. Datadog unifies the logs, traces, and metrics from every application and infrastructure component across the organization, so teams can visualize and analyze all the data that matters to them. Visualizations like the service map and network map enable developers to track real-time data flow between services and infrastructure components to build a complete understanding of an application's architecture and dependencies.
Datadog allows for any user across the organization to evaluate data in the same context as their colleagues, making collaboration and information sharing as simple as a few clicks. Out-of-the-box integrations with ticket tracking, chat, and incident management tools enables teams to seamlessly share real-time graphs, dashboards, logs, and distributed traces using their preferred communication tools. Using Datadog notebooks, any user can create shareable, collaborative documents that weave interactive graphs with analytical commentary, so teams can quickly come to a consensus about the cause of an outage or performance issue.
Nextdoor: Simplifying root cause analysis with APM and App Analytics
