Navigating the complex world of ServiceNow’s Configuration Management Database (CMDB) can feel overwhelming. You might find yourself grappling with understanding the foundational aspects of the CMDB, or maybe you’re seeking effective ways to utilize and integrate it seamlessly into your IT processes. You want to extract the maximum value from your ServiceNow CMDB but need help figuring out how to start.
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.
IT leaders are thrilled about the potential of Generative AI for IT Operations. But they also want to know how it works, why it works, and what it will do for them before taking the leap and adopting this new technology. Allow me to share my perspective on the hype and the truth behind Generative AI. I’m the Field CTO for BigPanda, Operational Intelligence and Automation driven by AIOps.
