Currently, almost all cloud apps run in complicated environments that involve microservices, containers, and third-party APIs. Uncovering the cause of a problem in these complex software environments is becoming harder than trying to find a needle in a haystack.
Even though traditional monitoring solutions will notify you about a failure, they don’t tell you why it happened. To gain insight into these complex environments, a team of engineers needs an advanced SaaS observability platform.
The following analogy will help you understand this topic better. Monitoring is similar to warning lights in cars that indicate when the engine is overheating. However, observability works as the computer used by mechanics to inspect the internal conditions and determine what caused the overheating.
With the use of an observability platform, a vast amount of telemetry data collected throughout a distributed cloud network is processed. Unlike monitoring, which only involves server checks, observability uses data from all layers of the software stack. It allows developers to do system monitoring to predict unexpected behavior of their systems before it affects end users.
To get performance insights, one needs three types of data that can be called the fundamental pillars of observability:
Also Read: What is SaaS Funnel? From Acquisition to Retention
The use of automated logs tracking and telemetry data brings several key benefits for modern technological companies by providing engineers with opportunities that would help them.
It helps to proactively detect system vulnerabilities, accelerate complicated software debugging, decrease infrastructure costs, and maintain high performance of digital apps.:
In times when enterprise software becomes increasingly complex and widespread, simple uptime checks become insufficient. The use of saas observability provides engineering teams with the necessary visibility for cloud health, quick issue resolution, and a great user experience.
