Observability Process Management
Observability and Monitoring Process-Level Practices
Typically the most overlooked aspect of observability and IT monitoring practices, process-level considerations are the most important. Without well defined, complete and documented processes and procedures to support the observability function- even the best-intentioned initiatives with the most skilled team members will fail. Attainment of full return on investment for any observability spend is chiefly dependent upon an organizations ability standardize management processes and be able to execute them in a repeatable fashion.
There are many processes, procedures, work instructions, controls and knowledge artifacts required to be in place for enterprise observability and IT monitoring. These include defined process-level management for observability platform / tool management; monitoring solutions design and architecture; runtime / usage support; reporting and analytics; integration and data management; training / onboarding; procurement / sourcing and vendor tracking; project management; IT service management (ITSM); monitoring maturity; roles / permissions and user lifecycle; change management and security. Often, different toolsets may require their own unique versions of these processes to account for platform specific considerations (e.g., SaaS based deployment versus on-premise / self hosted).
Optimizing Observability Processes with Frankenstein
Frankenstein will ensure that the critical processes that your organization needs to sustain an effective observability practice are defined, measured and align you to best practices. In addition to providing you benchmarks and grading on current-state with roadmap to maturity, Frankenstein also provides you templates to fully document your organizations processes for these observability practices to support your enterprise knowledge management.