Challenges around observability
Everything has pros and cons. Observability is no different. Observability also has certain challenges while taking care of infrastructure, applications, and the networks behind them. The organization must deal with these issues, which can be challenging.
Cloud systems generate a substantially higher amount of telemetry data, especially when microservices, APIs, and containerized applications are involved. This data is humongous for teams to handle at the speed it is generated at. The information flow may pause certain observability issues:
- False negatives or accidental invisibility: Incorrectly mapping or misconfiguring data sources might lead to not getting the right visibility or observability around the system, which would lead to issues and bugs being missed while performing analysis.
- Improper data: Missing out on collecting the right information from the data sources and understanding system information through data flows is not...
