IT Ops Maturity Model - an explainer video
Mateo explains what an IT Ops Maturity Model is, and how you can use it to understand your systems' current state and see where you want them to be.
Operations | Monitoring | ITSM | DevOps | Cloud
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AIOps as a modern cockpit, and why that matters
Join us in a CTO Perspective discussion with Jason Walker, Chief Customer Officer at BigPanda and former marine pilot, to find out exactly how IT Ops is following in the footsteps of the modern cockpit and why that should matter to anyone looking to adopt AIOps.
AIOps as a modern cockpit, and why that matters
Our human capacity for ingesting information and acting on it, is constant. As the systems we operate grow more complex, we need to make sure we use technology that presents us with only the relevant information we need, exactly when we need it. In aviation, this lesson was learned long ago, and now IT Ops is catching up.
If everyone is AIOps, which AIOps is right for you?
With so many IT vendors claiming they provide AIOps platforms, how do you understand the differences between them, and decide which flavor of AIOPs to choose for your organization? Join us in a CTO Perspective with Elik Eizenberg, CTO and co-founder at BigPanda, to find out.
If everyone is AIOps - which AIOps is right for you?
With so many IT vendors claiming they provide AIOps platforms, how do you understand the differences between them, and decide what flavor of AIOPs to choose for your organization? Join us in a CTO Perspective discussion with Elik Eizenberg, CTO and co-founder at BigPanda, to find the answer. Read the skinny for a brief summary, then either lean back and watch the interview, or if you prefer to continue reading, take a few minutes to read the transcript. Enjoy!
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.
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.
