Observability and AIOps provide critical IT insights to drive better business outcomes
Game-changing technologies designed to reduce complexity and maintain overall business health
Modern digital infrastructures are becoming more and more complex, with IT teams tasked with keeping an ever-increasing number of business-critical applications running smoothly.
Cloud-native environments add microservices, containers and orchestration platforms to a complicated landscape. This makes it impossible to get a 360-degree view of the health and performance of the whole IT estate with traditional troubleshooting and monitoring tools. The big challenge is that IT operations (ITOps) need to know what is happening, how to solve an issue, and what works and doesn’t work to improve IT health scores in the fastest and easiest way possible. But they are struggling with a sprawl of monitoring tools. Enterprises juggle between 11 and 30 tools for monitoring applications, network infrastructures and cloud environments.
Observability is the next evolution of monitoring. It gives context to data collected from any IT and business source, helping IT and business teams identify and address issues more efficiently. This includes on-premises, hybrid and multi-cloud environments, leveraging all data from any source at scale. This has been made possible with technologies such as automation, machine learning (ML) and artificial intelligence (AI) providing a platform for much more in-depth data analysis.
Observability has become a must-have for organizations looking to reduce downtime, optimize spending, better manage resources, and maximize business outcomes. Deploying it, however, is not as easy as it sounds. The issue is that there is no standard accepted definition for observability, notes Gartner. This has resulted in vendors offering platforms with different capabilities, causing confusion and leading to adoption headaches. Observability can then be used to address mission-critical use cases first that directly affect business value, recommends the analyst firm. It is thus advisable to collaborate with a digital transformation partner like Orange Business. They are equipped to identify the necessary data sources, prioritize use cases and workloads, and even construct the solution for you. With their extensive experience in digital and data project implementations, Orange Business will provide support in ensuring data quality and integrity, maintaining data security and compliance, managing data lineage, conducting audits, enabling real-time monitoring, ensuring scalability and facilitating change management.
This brochure looks at how observability and AI-powered insights into IT operations can help businesses deliver better results faster.