Taking DevOps Monitoring to the Next Level: 5 Steps to Monitoring Nirvana
Companies are committed to delivering on higher levels of customer satisfaction for their online services. Unfortunately, many organizations trying to support these initiatives take an interrupt-driven approach where they scramble to fix things when they break. However, to manage to these high levels of SLAs, you should take a structured approach in order to reduce the amount of unscheduled downtime by proactively monitoring and managing your systems. While you can never avoid an interrupt-driven work entirely (due to unexpected failures), using a structured approach is more efficient. To accomplish this, you should start with a review of your current approach and toolset against your business needs to help create a path to continuous service delivery optimization.
An improved monitoring framework should improve observability for all teams (operations, software development, etc), deliver a real-time pipeline, make capturing events simple, allow long-term retention of metrics, have powerful search and visualization capabilities, provide a unified system for monitoring and alerting, and deliver high availability, scalability, and performance.
The first step in getting control and visibility into your DevOps environment is to collect and instrument everything. But how do you get started? And how do you perform DevOps Monitoring efficiently and quickly in a way that’s measurable and scalable? To answer that question, InfluxData distilled our learning from hundreds of our customers into a simple 5-step process; and also highlighted some of our representative DevOps Monitoring customer use cases. Our perspective stems from hands-on experience and from our differentiation as a company-built by developers for developers.