Why AHEAD customers use BigPanda with their ServiceNow deployment
Johnny Hatch, Practice Director – Enterprise Monitoring & Analytics at AHEAD, explains why AHEAD's fortune 500 customers use BigPanda to augment their ServiceNow installations.
Operations | Monitoring | ITSM | DevOps | Cloud
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Domain-agnostic and here to stay: Gartner outlines the current state and future of AIOps
Coined by Gartner in 2016, the term ‘AIOps’ refers to the combining of big data AI and machine learning to automate and improve IT operations processes. Back then, this very broad definition led to some confusion, with different IT vendors characterizing AIOps differently, depending on what they were actually offering.
The true cost of IT Ops, the added value of AIOps
Today’s IT landscape is complex, hybrid, and fast-moving, and the adoption of multi-cloud infrastructure, applications, and new digital transformation initiatives is accelerating. IT operations teams, playing a vital role in enabling the delivery of uninterrupted services and creating business value for enterprises, are finding they need to constantly grow their resources to manage all the moving pieces in their IT stack. This can get expensive … but how much are they spending?
Incident triage: a key element in your MTTR
One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that’s often easier said than done.
Phoenix Project: Sometimes you have to look back to look forward
It has been eight years since The Phoenix Project was published and a lot has changed since then! I started to think about what we’ve learned in that time. It starts with the theory of constraints. I still see it all the time. Organizations take actions which are merely temporary, putting out fires but not solving for the underlying causes of those fires.
Say goodbye to guessing: Introducing Automatic Incident Triage by BigPanda
Low MTTR is the much-desired nirvana-state in IT Operations. One of the most painful parts of the incident management lifecycle, which prevents the achievement of this nirvana, is triage: the time it takes first incident responders to determine the next action when facing a barrage of IT incidents. Why?
BigPanda Automatic Incident Triage
IT incidents often lack critical business context necessary to conduct triage, resulting in long incident management lifecycles and high MTTR. Automatic Incident Triage significantly simplifies and shortens triage by automatically adding actionable business context to incidents.
How to speed up incidents with a lot of cooks in the kitchen
In one of our recent webinars we discussed a substantial challenge IT Ops teams face in today’s complex IT environments: defining and clearly communicating incident/operational roles and processes, in an effort to create a well-coordinated incident management lifecycle. This lifecycle is essential for restoring service as quickly as possible when disruptions occur. Following are the highlights of that discussion, also recently published in an ApmDigest article.
How to use BigPanda together with your observability and monitoring tools
Use BigPanda together with your best-of-breed monitoring and observability tools to shorten your incident management lifecycle and drastically improve your MTTR.