Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

How AIOps modernizes CMDBs to drive accuracy and value

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?

Bridging the ITIL vs DevOps Mindset: CI/CD Best Practices for ITIL Organizations

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.

What is Mean Time Between Failures - and why does it matter for service availability

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.

Generative AI for IT Operations: Your Questions Answered

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.

Accelerate change alert discovery and incident resolution with Root Cause Changes

Today, the majority of organizations operate under a hybrid cloud structure. Due to this, operations are consistently met with daily infrastructure and software changes and updates, which are also the primary cause of incidents and outages. Long gone are the days when a tech stack could be represented by a single dependency model. Microservices, CI/CD, and containers across multi-cloud make it extremely difficult to track all the changes and connect them to incidents.

Why automated Root Cause Analysis matters for driving down MTTR

Finding the root causes of IT anomalies can be challenging, but the rewards are worth it. By identifying the root cause or causes of an incident or critical failure, response teams can resolve incidents faster and determine the best steps to avoid having them recur. This can drive down both the frequency of service interruptions and their duration.

BigPanda's Resources for Navigating Change Through the AI Revolution

AI has revolutionized the way we engage online in 2023. From Chat GPT and AI Art Generators to healthcare, finance, and business, you can hardly read the news without reading the latest proclamation of how AI is poised to change every aspect of our lives. AI has brought fundamental changes to how we live and work, and we’re still scrambling to understand the impacts of these changes. Especially where their work is concerned, change can be difficult for people to embrace.

Discover what's driving the recognition behind BigPanda's AIOps innovations

Every day, BigPanda is transforming the way our customers operate. Our advanced AIOps technology redefines incident management, prevents service disruptions, and elevates customer satisfaction – and I couldn’t be more thrilled to see industry experts take notice. I’m particularly proud to see BigPanda mentioned in nine of the highly esteemed 2023 Gartner Hype Cycle reports.