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Real-time monitoring

Read our blog post about the relationship between monitoring and observability

Providing a better customer experience by detecting issues before they affect customers 

While network observability in general can be traced back to the start of the Unix era the term didn’t come into widespread use until the early 2000’s. Since then, observability has evolved to presenting detailed performance metrics, tracing and alerting on performance and user experience across the entire technology stack including the cloud.

Gartner defines real-time observability as the discipline that applies logic and mathematics to data providing insights for making better decisions quickly. Software development and operations in the last couple of years have been incorporating observability metrics more and more to accelerate changes driven by the need to scale, manage cloud native technologies and to mitigate the impact to remedy causes quickly. If this is the case, then observability should involve the exploring of systems in unforeseeable ways dealing with the unknown-unknowns.

IT organisations have accepted that no system is immune to failure, so to achieve “High-Availability” every layer in the entire application stack from the network to the application itself should use fault-tolerance mechanisms to help identify and quickly resolve issues to render it transient to the customer.    

Observability and understanding the operational resilience of systems 

Can we say that the health of systems today is not the priority? Are we entering an era where what matters is the health of each individual event or each individual user experience? IT organisations are now talking about observability instead of monitoring, about unknown-unknowns instead of known-knowns.

Monitoring tells you if the system works, observability answers the question why it’s not working. Monitoring is the tip of the observability iceberg with logic beneath it. The need for observability and operational resilience becomes even more critical in the highly dynamic environments. 

Despite the DevOps movement it is still common in many organisations that different specialised teams such as database, network etc. exist and that they use different tools for observability. They seem to ignore the fact that heterogenous tools create silos and impair collaboration. It becomes impractical to debug latency problems or failures across multiple tools with no ability to correlate data. 

With ITRS, you can achieve real-time observability of all relevant structured and unstructured data without disruption, in one solution available on-premise and in the cloud.