IT professionals struggle daily to keep pace with alert and noise classification, increasingly lengthy task lists, and the growing number of tools they must master. Without change, healthy and motivated IT professionals will experience degraded productivity due to fatigue and accumulated physical stress, which can result in permanent operational inefficiency and business impact.

One solution is observability. Observability is the capability to measure the internal state of an IT system using information provided by that system, and more and more organizations are adopting it. Observability surpasses traditional monitoring by reducing challenges and operational discord within IT Operations (ITOps), DevOps, and security organizations. By understanding comprehensive service delivery and dependencies across all components, organizations can proactively detect issues and anomalies, optimize IT performance and compliance, and free up time to focus on more strategic business planning and execution.

So what is the greatest benefit of observability? Observability integrates clearly defined AI and machine learning models for AI-based IT Operations (hereafter AIOps), enabling the observability system to automate rapid responses and potentially achieve zero downtime.

Observability demonstrates how traditional monitoring evolves in today's IT architecture era. Traditional monitoring, which we are familiar with, collects and processes the volume of infrastructure and application telemetry data and alerts. This monitoring shows which components are running, which are stopped, and what has changed, but it tracks individual applications and infrastructure elements by focusing only on specific networks, cloud, or infrastructure. Therefore, it finds parts rather than the whole, seeing trees but missing the forest.

▲ SolarWinds Hybrid Cloud Observability

Modern systems are multi-cloud or hybrid and require connections across computing, application, and database domains. These systems generate torrents of telemetry data, which traditional monitoring cannot support with cross-domain correlations, service delivery insights, operational dependencies, or predictability. Simply put, monitoring's fragmented approach struggles to meet the demands of competitive digital transformation businesses.

Observability measures the internal state of a system by examining its outputs. It examines applications and systems, including end-user environment, server metrics, and logs. It builds on information collected through monitoring. A well-constructed observability system uses AI and machine learning to rapidly identify deviations from expected paths or provide IT professionals with insights that enable immediate action.

Through observability, IT organizations can continuously improve performance, availability, and their digital environment in complex and diverse distributed hybrid and multi-cloud environments. As observability adoption expands, there are three key points in business success that organizations can expect:

• Reduced Downtime: Through observability, IT professionals can focus on other areas by benefiting from improved service predictability and significantly reduced downtime. Organizations can achieve optimal IT performance, compliance, and resilience through proactive measures to detect issues and anomalies. Additionally, organizations can gain comprehensive, integrated, and cost-effective capabilities through on-premises or Software-as-a-Service (SaaS) connected to the cloud.

• Reduced Guesswork: The fragmented approaches of the past have disappeared. Now end-to-end observability is integrated with machine learning and AIOps, leveraging vast amounts of collected data and providing insights, automated analysis, and actionable intelligence. Organizations can view their entire system at a glance and quickly identify where problems exist.

• Increased Problem Resolution Speed: Observability provides insights, automated analysis, and actionable intelligence to resolve problems rapidly. It also spans large-scale real-time and historical metrics, logs, and trace data.

Customers and employees benefit from observability through better-functioning systems. At the same time, IT professionals can reduce the time spent reviewing alerts and dedicate more time to process improvements and learning new tasks.

Observability is necessary because organizations can no longer afford system downtime, and IT professionals need time to learn new fields. In this way, observability is an essential technology for organizations today.

※ Author Bio
Rohini Kasturi has served as Senior Vice President and CPO of SolarWinds since March 2021, leading product-related divisions including engineering, product management, and product marketing. CPO Rohini holds more than 20 patents in the fields of SaaS, cloud, data, analytics, security, and software-defined technology (Software-defined anything; SDx).