DevOps Monitoring

Accelerate your organization’s DevOps transformation

The DevOps model fosters faster development cycles and enhanced agility in responding to market needs. Datadog helps organizations to foster and promote a culture of observability, collaboration, and data-sharing—key pillars of the DevOps movement—ensuring a seamless transition towards more agile and efficient workflows across teams.

Measure everything

Datadog strengthens an organization’s measurement and observability culture, thereby providing rapid feedback on operational changes to improve development velocity and agility. With a single, lightweight agent and extensive array of over 800 vendor-supported integrations, Datadog delivers turn-key visibility into all application and infrastructure components. Advanced extensible instrumentation and open APIs allow teams to monitor application performance data, infrastructure capacity, security risks, and business KPIs within a unified platform, enhancing informed and timely decision-making. To measure team productivity and adoption of DevOps and security best practices, Datadog offers out-of-the-box scorecards and DORA metrics.

DevOps is not a role, it’s a culture and Datadog is part of the empowerment of that process by allowing different parts of the business to interact with a common observability platform.

Joe Humphries
Infrastructure Director, MyLife Digital

Get the most out of DevOps automation

As one of the core DevOps principles, automation can help speed up software delivery, 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 infrastructure and application components, as well as monitoring-as-code integrations with configuration management and deployment tools, such as Chef and Terraform. Datadog also helps you accelerate software delivery by automating manual processes with self-service templates for developers, and improving the speed and reliability of CI/CD pipelines and tests with unmatched visibility into their health and performance. Datadog AIOps capabilities accelerate investigations by automatically correlating telemetry and surfacing outliers, anomalies, and root causes of issues across the tech stack.

Datadog enables automation with our configuration management and deployment tool integrations.

Gain organization-wide visibility

DevOps practices prioritize cross-team collaboration, requiring engineers to comprehend both their systems and the interconnected upstream and downstream dependencies. Datadog unifies metrics, logs, traces, user sessions, security risks, and other telemetry from all application and infrastructure components, so teams from across the organization can take action based on a single source of truth. Enriched visualizations such as the service map and network map enable developers to track real-time data flow between services and infrastructure components, building a comprehensive understanding of an application’s architecture and dependencies.

With Datadog, all of the teams have the insight they need to test and troubleshoot operational and performance issues before and during production rollouts. This has also helped the teams work better together, and has made each team more accountable.

Darío Simonassi
Architecture Manager, MercadoLibre

Easily visualize your application’s architecture and dependencies from a bird’s eye view.

Collaborate with real-time data

With tight integrations between products and a common, intuitive user interface across the platform, Datadog allows for any user across the organization to monitor data and troubleshoot issues in the same context as their colleagues, making it seamless to collaborate and share information. Out-of-the-box integrations with ticketing, communication, and incident management tools enable teams to seamlessly share real-time graphs, logs, distributed traces, and security signals via existing workflows. 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.

The handoff of context in Datadog is huge. It’s the ability to pass a link to an application developer, and know they can see exactly what I’m seeing.