Most SaaS companies today will tell you there’s never been a better time to build and deliver software. New technologies such as cloud, microservices, and containers give you greater scale and efficiency. DevOps, CI/CD, and automation will all increase your developers’ speed and agility—which all points to faster innovation than ever before.
That’s the promise, right?
Your reality is likely a bit different. As your IT team has pursued cloud modernization and deployment speed and scale, your IT stack has become increasingly complex. And there’s a lot more for you to monitor and watch over, such as:
- Hybrid environments across multiple cloud vendors
- A wider surface area of technologies, all delivering different types of telemetry data
- More frequent software changes—an increasing number of organizations report at least dozens of deploys per week
- Distributed teams whose speed of deployment and innovation all hinge on having visibility into different parts of the stack, even those parts they didn’t develop and deploy
- An ever-expanding set of monitoring tools, some of which are added as you hire new developers, each guarding their precious tools like they would a magic ring.
All this means that, as ecosystems continue to expand and become increasingly complex, it’s more critical than ever to be able to see across your entire software system with full context and data correlation. Because unless you do, you’ll likely curse every software company that tells you, “There’s never been a better time to build and deliver software.”
This white paper aims to help you get there—we’ll outline the challenges that tool sprawl introduces and show you how a modern approach to monitoring and complete end-to-end observability can tame the complexity and keep us all honest.