When a serious incident occurs, time is essential. Streamlining different components of the incident response and management process can help minimize the time it takes to resolve an incident. Proper streamlining also helps reduce downtime, restore functionality, and potentially curtail the overall impact of an incident-not to mention the costs incurred during these events. This article examines several areas of incident management, the potential challenges of manual implementation, and how an automation platform can alleviate these challenges to provide a streamlined incident response process.
In the world of enterprise major incident management, integrating partial or full automation across each stage of the incident response and management lifecycle makes a big difference to the speed incidents are addressed and the data you have to understand them afterward. Gartner coined the term “Incident Response Automation” in its 2020 report Automate Incident Response to Enhance Incident Management.
Users have been generating increasing amounts of data in the past few years, partly due to rapid digitalization since the pandemic. As a result, increasing numbers of analytics applications are capitalizing on these data assets. However, building scalable systems is no trivial task and incidents are inevitable. Complex systems generate data in the form of logs, traces, metrics, and more, which organizations often find themselves sprinting through. Such logs are a powerhouse of valuable information.
Automating processes and the tools that enable them is vital for empowering highly productive teams. The right automation tools and workflows help DevOps and SRE teams minimize repetitive tasks, improve monitoring capabilities, enable continuous integration/continuous deployment (CI/CD), and work with massive volumes of data.
A software incident is an event or unplanned interruption that causes the software to deviate from its intended behavior, affecting the quality of service. With the ever-changing nature of the software industry, incidents are inevitable, particularly in teams that practice iterative software development cycles with constant releases to production. This necessitates a robust incident management strategy.
