Downtime comes at a cost, but a lack of context comes at an even higher cost—recurring downtime. This causes extended, exhaustive troubleshooting and growing customer dissatisfaction. Without the context of why your system went down, you’re not recovering cleverly, and you’re not building in resilience no matter how fast you get to uptime.
So why is it so hard to get that context?
1. The increasing complexity of applications, infrastructure, and services
The tools for monitoring and troubleshooting traditional monolithic application patterns and static, fixed infrastructure weren’t built for the complexity of today’s infrastructure.
Modern container-based infrastructure deployed in hybrid and multi-cloud environments is, by definition, sprawling and ephemeral, requiring entirely new operating approaches.
Automation, continuous integration/continuous delivery (CI/CD) pipelines, and Kubernetes-based compute surfaces change topologies and migrate resources constantly.
Modular applications are composed of various open source and proprietary technologies, written in multiple languages and frameworks that change fast.
That’s a lot of complexity to navigate.
2. There’s a gap between your applications and infrastructure
Without an integrated, correlated view between your applications (including third-party services accessed through APIs) and infrastructure, you don’t get the end-to-end view you need to make informed decisions.
And since your applications and infrastructure are unique to your business, relying on static, stock dashboards isn’t enough.
Sure, a dashboard can show you how much compute a specific server is provisioning. But if you’re trying to analyze system health in the context of a multi-cloud workflow, you’re going to need to develop your own observability application to do it.
3. Tool sprawl
When you use multiple tools to monitor multiple parts of your stack, you invariably get blind spots. Worse still, you make it infinitely harder to aggregate a holistic view of how all these systems work with each other.
It’s just hard to investigate incidents. And, as it turns out, free, open source monitoring tools come at a price. Organizations pay the price in hours and resources to manage those tools that also lack reliability.
Every second a DevOps person wastes having to context-switch from one tool to another is another second of downtime you don’t need to deal with.