DevOps is a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations, which are two critical but often misaligned efforts. It's not a specific technology, but a tactical approach. By working together, development and operations teams can eliminate roadblocks and focus on improving the creation, deployment, and continuous monitoring of software.

DevOps monitoring

Eliminate silos, improve cross-team collaboration, and release better software faster.

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By providing advanced observability across our DevOps processes and app delivery pipelines, Dynatrace allows us to see the smoke before the fire starts to burn. We can stop bad code from ever reaching production, so it never becomes a problem.

Simon Pilar Director DevOps & Toolchain, Clario

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What is DevOps monitoring?

DevOps monitoring involves constant assessment of software health, allowing practitioners to understand and proactively resolve issues, optimize resources, and ensure smooth application performance throughout the SDLC.

Drive benefits across the enterprise

Grow the business

Innovate faster and make customers happier

Spend less time performing manual tasks and triaging issues, and more time innovating. An efficient and scalable DevOps approach helps teams exceed customer expectations and gain a competitive edge.

Streamline it

Increase speed, quality, and throughput

Build a highly integrated DevOps toolchain with observability, automation, and AI at the core to help accelerate the speed of delivery, improve code quality, and increase DevOps throughput.

Change the culture

Build a more productive and collaborative culture

Eliminating friction and silos between Dev and Ops, and rallying everyone around a single source of truth enhances communication and builds a culture of trust, collaboration, and success.

DevOps best practices to know

DevSecOps

DevSecOps expands the impact of DevOps by adding security practices to software development and delivery process. It resolves the tension between DevOps teams that want to release software quickly, and security teams that prioritize security over all else.
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Continuous automation

In addition to CI/CD, bringing automated testing, monitoring and remediation to the DevOps lifecycle shortens innovation cycles, speeds up application delivery and reduces MTTR.
AI-driven DevOps

AI integrated into DevOps allows for quicker identification and resolution of issues through root cause analysis, improved collaboration between teams, and the ability to make risk-free release decisions.