Driving DevOps and platform engineering for digital transformation
Amid the ever-evolving landscape of software development, the debate surrounding DevOps vs. platform engineering has ignited. Which is the preferred approach to software delivery? Are these two disciplines interlinked?
Download the free ebook to discover the following:
- The nuances, best practices, and tangible benefits that DevOps and platform engineering bring to organizations.
- The challenges and complexities that organizations face in adopting and optimizing these methodologies.
- How a unified observability platform helps organizations unlock transformative potential with their platform engineering use cases.
What is DevOps?
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.
Answers and intelligent automation to help you:
Accelerate software delivery
Orchestrate DevOps toolchains and automate monitoring, quality evaluation, and remediation.
Deliver high quality software
Stop bad code in its tracks with continuous release validation at every stage of the SDLC.
Improve production reliability
Reduce application downtime, MTTR and improve CSAT by proactively managing SLOs and automatically remediating problems.
Drive benefits across the enterprise
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.
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.
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.
Automate DevOps and accelerate your innovation cycles
You’ll be up and running in under 5 minutes:
Sign up, deploy our agent and get unmatched insights out-of-the-box.
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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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.
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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.
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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.
