DevOps monitoring
Eliminate silos, improve cross-team collaboration, and release better software faster.
Streamline & scale DevOps with observability and AIOps
DevOps is a tactical approach to creating and delivering software designed to close the gap between development and IT operations. Leveraging observability, AI, and automation on a single platform helps Dev and Ops teams collaborate more efficiently, accelerate CI/CD pipelines, and improve code quality.
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.
What’s the key to scaling DevOps practices?
We asked development and DevOps leaders about the biggest challenges they’re facing achieving DevOps at scale and keeping up with the demand for digital transformation.
Ebook
Driving digital transformation with DevOps
See how organizations are streamlining software development, increasing developer productivity, and enhancing continuous delivery workflows to deliver better software faster.
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.
How Dynatrace transformed with a DevOps approach
We drink our own champagne, and apply a smarter DevOps approach to how we work, resulting in:
- Faster delivery
97% faster deployment lead time
- Greater agility
From 2 to 26 releases
- Improved quality
93% of bugs found by development
DevOps best practices to know
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Continuous integration
A software development practice where developers regularly merge their code changes into a central repository, after which automated builds and tests are run.
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Continuous delivery
Code changes are automatically built, tested, and prepared for a release to production. Done properly, developers will always have a deployment-ready built artifact.
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Continuous observability
Continuous observability of your system across all stages of DevOps allows you to manage the performance and availability of software applications. This leads to quick response times, improved computing processes and satisfied customers.
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Shift-left
Process of pushing testing (code quality, performance & security) toward the early stages of the SDLC. By testing early and testing often, you can find and remediated bugs earlier and improve the quality of software.
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Shift-right / Progressive delivery
Process of monitoring, observing, and testing (resiliency, reliability and security) of new releases “in production” to ensure correct behavior, performance, and availability.
Insights from our experts
Blog: What is DevOps?
Understanding continuous integration and continuous delivery (CI/CD)
Site reliability engineering: 5 things to you need to know
What is DevSecOps? - Blog post
What is continuous delivery?
SRE vs DevOps: What you need to know
Common SLO Pitfalls and how to avoid them
What are SLOs? How service-level objectives work with SLIs to deliver on SLAs
2021 DevOps Report
