Introduction: Problem, Context & Outcome Many engineering teams in Pune still manage servers through manual steps, scattered scripts, and undocumented changes. Because of this, environments drift, releases fail unexpectedly, and troubleshooting consumes valuable time. At the same time, organizations expect faster delivery, predictable systems, and strong compliance. Therefore, DevOps teams now rely heavily on configuration … Read more
Introduction: Problem, Context & Outcome Many engineers in Bangalore manage servers, cloud environments, and applications manually for far too long. Although they understand DevOps concepts, they still struggle with configuration drift, inconsistent environments, and repeated production issues. Consequently, teams waste time fixing problems instead of delivering features. At the same time, organizations now demand faster … Read more
Introduction: Problem, Context & Outcome Engineering teams still face deployment delays, unstable environments, and configuration failures, even after adopting DevOps practices. Although tools evolve, teams often depend on manual steps or unstructured scripts that do not scale. Consequently, releases slow down, outages increase, and operational confidence drops. At the same time, modern businesses expect faster … Read more
Introduction: Problem, Context & Outcome Engineering teams across enterprises still struggle with configuration drift, delayed deployments, and fragile infrastructure changes. Although teams adopt cloud and DevOps practices, many still rely on manual scripts or inconsistent processes that break under scale. As a result, releases slow down, outages increase, and engineers lose trust in their systems. … Read more
Introduction: Problem, Context & Outcome Today, engineering teams in Bangalore manage fast-growing infrastructure across cloud, containers, and hybrid platforms. However, many engineers still rely on manual configurations or fragmented scripts. As a result, they face frequent configuration drift, inconsistent deployments, and delayed releases. Moreover, learning Ansible through self-study often leads to shallow knowledge that fails … Read more
Introduction: Problem, Context & Outcome Modern IT and DevOps teams manage complex systems that generate massive volumes of logs, metrics, events, and traces. However, engineers still rely heavily on manual analysis and reactive troubleshooting. As systems scale, this approach leads to alert fatigue, delayed incident resolution, and unpredictable downtime. Consequently, teams struggle to maintain reliability … Read more
Introduction: Problem, Context & Outcome Infrastructure teams still spend a significant amount of time performing repetitive manual tasks. Server provisioning, application deployment, configuration updates, and patch management often depend on human intervention. As environments grow across cloud, on-premise, and hybrid platforms, these manual processes introduce delays, inconsistencies, and failures. Even skilled engineers struggle to maintain … Read more
Introduction: Problem, Context & Outcome In modern software engineering, teams are under constant pressure to deliver features faster without compromising stability. Yet many teams face frequent build failures, delayed releases, and poor coordination between development and operations. Manual deployments and inconsistent processes often cause production errors, rollback challenges, and frustrated teams. The Master in Azure … Read more
GitOps makes deploying to Kubernetes simple and safe by using Git as the main guide for all changes. The GitOps Essential Training shows you how to set up this workflow with tools like Weave Flux and Helm on AWS Kubernetes. What is GitOps? GitOps uses Git to store all Kubernetes setups and apps as code. It checks … Read more