Introduction: Problem, Context & Outcome Software teams across the Netherlands continue to adopt cloud-native platforms, automation tools, and CI/CD pipelines at a rapid pace. Yet many engineers struggle to implement DevOps correctly in real production environments. Teams often rely on fragmented tutorials, outdated practices, or tool-focused learning that fails to deliver business outcomes. As a … Read more
Introduction: Problem, Context & Outcome Engineering organizations continue to struggle with operational complexity even after adopting DevOps and cloud technologies. Teams spend large amounts of time managing infrastructure, handling alerts, approving deployments, and responding to incidents. Manual intervention slows releases, increases error rates, and creates operational burnout. As systems become more distributed and cloud-native, human-driven … Read more
Introduction: Problem, Context & Outcome Modern IT systems generate massive amounts of data every second. Servers, applications, cloud platforms, and containers produce logs, metrics, and events continuously. Engineers often struggle to detect issues, troubleshoot efficiently, and prevent downtime. As organizations adopt Agile, DevOps, and cloud-native workflows, these challenges grow. Without proper monitoring and observability, identifying … Read more
Introduction: Problem, Context & Outcome Today’s software systems are complex, running across cloud platforms, microservices, and containers. Engineers often struggle to see what’s happening inside these systems. Traditional monitoring tools can’t catch all issues, leaving teams to react to problems after they happen. This can lead to downtime, slow performance, and unhappy users. The Master … Read more
Introduction: Problem, Context & Outcome In today’s fast-paced IT landscape, organizations often struggle with slow service delivery, scattered processes, and inefficient workflows. Teams face challenges in handling incidents, automating approvals, and integrating services across platforms. These bottlenecks increase operational risks and reduce overall productivity. The ServiceNow Developer Course equips IT professionals and DevOps engineers with … Read more
Introduction: Problem, Context & Outcome Modern software applications are becoming increasingly complex, often spanning multiple servers, services, and cloud environments. Identifying performance issues or potential downtime before users are affected is a critical challenge for engineering teams. Traditional monitoring tools are often reactive and slow, leaving businesses vulnerable to performance degradation and customer dissatisfaction. Master … Read more
Introduction: Problem, Context & Outcome As software systems scale, many teams encounter a common challenge: applications become harder to change, deploy, and operate safely. Monolithic architectures often slow innovation because even small updates require full-system deployments. This increases risk, causes downtime, and limits how quickly organizations can respond to market demands. The Master in Microservices … Read more
Introduction: Problem, Context & Outcome In today’s rapidly evolving digital landscape, the complexity of maintaining system health has increased exponentially. With the proliferation of cloud-native technologies, microservices, and distributed architectures, it’s becoming increasingly difficult for engineers to maintain full visibility into their systems. This lack of insight makes it harder to detect performance issues and … Read more
Introduction: Problem, Context & Outcome In today’s digital-first world, businesses rely heavily on cloud computing to stay competitive. Engineers and IT teams face challenges such as slow application deployment, infrastructure misconfigurations, and difficulty scaling across multiple cloud platforms. These issues can lead to delays, higher costs, and unreliable services. The Master in Cloud Computing program … Read more
Introduction: Problem, Context & Outcome Enterprise applications today are increasingly distributed, complex, and performance-critical. Teams face challenges in monitoring system health, tracking real-time transactions, and resolving issues before they affect end-users. Performance bottlenecks, slow responses, and delayed detection can disrupt CI/CD pipelines, cause revenue loss, and harm customer experience. Traditional monitoring methods often fail to … Read more