Operations | Monitoring | ITSM | DevOps | Cloud

As an ITOps leader, you know managing enterprise IT can be challenging, with its mix of old and new, on-site and cloud-based systems. Closely monitoring each part of the system infrastructure and its many components is a constant struggle, forcing you and your team to juggle non-stop alerts and keep services up and running. How can you stop alert fatigue and gain clarity when alerts are incessant, unclear, and lack the necessary context? The answer lies in intelligent alerts.

Is your company using ServiceNow IT Operations Management or considering using it? If so, you know the importance of enhancing the visibility of your IT infrastructure and services, protecting against service disruptions, and enhancing your company’s operational flexibility. In this blog, we’ll discuss how ServiceNow ITOM works, improves visibility across the entire IT infrastructure, and streamlines operations. We’ll also discuss how ServiceNow ITOM is better together with AIOps.

Are you tired of sifting through a sea of IT events and alerts? Or perhaps you’ve found yourself overwhelmed by the volume of data flooding your monitoring systems and challenged to identify the incident root cause. There’s a better way to manage the chaos: using AIOps to unite disparate tools, data, and teams for event correlation.

ITOps is at a crossroads: Teams struggle to manage a high volume of alerts and coordinate between different tools and teams. Teams also must balance cloud technologies’ agility and on-premise solutions’ stability. The sheer speed of today’s IT demands both flexibility and visibility in development and harmonized tech stacks.

Data is both a challenge and an asset for IT professionals, who rely on IT Operations Analytics (ITOA) to guide them towards operational excellence, system reliability, and swift incident resolution. So whether you’re seeking clarity on understanding what ITOA is and its connection to related technologies, are contemplating how to use it within your organization, or are curious about its enhanced efficiency and cost savings benefits, we’ve got you covered.

Maybe you’re still using monolithic applications, built and refined over many years. You understand that shifting to microservices or containerized architectures is a huge and daunting task. You’re probably grappling with the limitations of legacy systems—maybe they’re slow, tough to update, or can’t scale as you’d like. And you’re likely using more traditional IT monitoring tools or even some cloud observability tools.

IT operations teams are challenged to keep pace with the rapid speed of digital transformation. As companies use more cloud-based apps, increase agile deployments, and develop new microservices-based applications, they add layers and complexity to their technology stacks, making life increasingly challenging for ITOps performance.

Maintaining your Configuration Management Database’s (CMDB) accuracy, keeping it fully updated, and improving its performance is a frustrating and elusive goal for ITOps and IT leaders. Aiming for this ‘golden’ CMDB standard can feel like running on a treadmill where you’re putting in a lot of work, but remain as distant as ever from your goal. Can IT leaders ever catch up?

DevOps practices in software development have revolutionized the way updates are released. However, many companies entrenched in ITIL practices find it challenging to seamlessly integrate with the DevOps practice of Continuous Integration and Continuous Delivery/Deployment (CI/CD). This is because ITIL focuses on stability, which suits older systems, while DevOps is ideal for modern setups with its agile, automated practices.

Mean Time Between Failures (MTBF) measures the average duration between repairable failures of a system or product. MTBF helps us anticipate how likely a system, application or service will fail within a specific period or how often a particular type of failure may occur. In short, MTBF is a vital incident metric that indicates product or service availability (i.e. uptime) and reliability.