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Steps to Improve DevOps Culture

Introduction DevOps is fast becoming an essential aspect of many company cultures for numerous reasons. This guide outlines how to properly implement DevOps using the right tools and, crucially, the right mindset. However, implementing DevOps is more than just adopting new tools and practices. It’s about fostering a culture of continuous innovation and incremental improvement. Although challenging, the benefits of a robust DevOps culture are undeniable. DevOps is a critical foundation that empowers organizations to innovate, learn, and improve, driving business success. Step 1: Leverage the Best Metrics When initiating DevOps, start with clear end goals in mind. Metrics are crucial for tracking progress and ensuring a successful journey. The DORA State of DevOps 2019 report highlights key metrics to benchmark your DevOps transformation: Deployment Frequency : How often you deploy code to production or release it to end-users. Lead Time for Changes : The duration from code commit to run...

DevOps - What and Why?

The very first question arises in the mind is " What is DevOps? " Few will say it combined team of Developers and Operations. Some will say it is a person "DevOps Engineer" who works with multiple teams to get the things done in corrective manner. Further questions comes in mind are: What is the corrective manner of doing things? How it is different from our "current" method of doing things? Do I need an extra set of tools for this? And, most important of them all, why should I use it? Let me tell you what I've learn in my 3 days of DevOps training. What is DevOps? DevOps is not a team, or tool, DevOps is a culture. It is a culture for collaboration, Integration and Communication between different cross functional teams for  Continuous Delivery . DevOps is not an additional team, but it is the existing team members who work together. It breaks the barrier between Infrastructure and Code at early stage. DevOps also encoura...

The DevOps 2026 Roadmap: 10 Trends Reshaping the Engineering Landscape

As we move through 2026, the DevOps movement has transitioned from a set of practices into a highly intelligent, platform-centric discipline. The days of "manual automation" are over. We are now in the era of Autonomous Operations. Whether you are an architect, a senior engineer, or a technical lead, these ten trends represent the shift from managing infrastructure to orchestrating intelligence. 1. AIOps: Moving from Automation to Autonomy 🤖 AIOps has matured beyond simple anomaly detection. In 2026, it is the "engine" of the SDLC. The Trend: Closed-loop remediation. Systems no longer just alert you when a service fails; they analyze the root cause and execute a recovery playbook before the on-call engineer even wakes up. The Impact: A shift from "Mean Time to Detect" (MTTD) to "Mean Time to Self-Heal." 2. The Dominance of Platform Engineering 🛠️ The "You Build It, You Run It" mantra of early DevOps often led to developer burnout. P...

What is Continuous Delivery?

Continuous delivery (CD) is a set of processes, tools, and techniques for rapid, reliable, and continuous software development and delivery. It means that continuous delivery goes beyond the release of software through a pipeline. The pipeline is a crucial component and the focus of this course, but continuous delivery is more. Look at the eight principles of continuous delivery: The process for releasing/deploying software must be repeatable and reliable. Automate everything! If something is difficult or painful, do it more often. Keep everything in source control. Done means "released." Build quality in! Everybody has responsibility for the release process. Improve continuously. Software architecture (monoliths are hard to deploy). Testing strategy (manual tests don't scale well). Organization (separated business and IT departments don't work smoothly), and so forth. Continuous delivery is an enabler for DevOps. DevOps focuses on organizations and bringing people to...

Azure DevOps release pipeline capabilities

Azure DevOps has extended support for pipelines as code (also called YAML pipelines) for continuous deployment and started introducing various release management capabilities into pipelines as code. Feature YAML Classic Build Classic Release Notes Agents Yes Yes Yes Specifies a required resource on which the pipeline runs. Approvals Yes No Yes Defines a set of validations required before completing a deployment stage. Artifacts Yes Yes Yes Supports publishing or consuming different package types. Caching Yes Yes No Reduces build time by allowing outputs or downloaded dependencies from one run to be reused in later runs. In Preview, available with Azure Pipelines only. Conditions Yes Yes Yes Specifies conditions to be met before running a job. Container jobs Yes No No Specifies jobs to run in a container. Demands Yes Yes Yes Ensures pipeline requirements are met before running a pipeline stage. Requires self-hosted agents. Dependencies Yes Yes Yes Specifies a requirement that must be me...