Getting to Zero Unplanned Downtime with AIOps
Originally published in APMDigest.com on Sep 30, 2020 Most business executives are worried about the competition taking them down. What they don’t realize is, their own IT can do an equal amount of damage. Imagine this: if your rideshare app is constantly down, would you rather wait for it to […]
AI+ITOps: Episode 5: AIOps Hype vs. Reality
This podcast was originally published in APMDigest
AI+ITOps: Episode 4: The Right Data, Right Time, Right Insights
This podcast was originally published in APMDigest
Productionizing ML Models with Proper Data
As enterprises are starting to engage machine learning models and embed them into heavy-duty production systems, they face a lot of hurdles. Especially, MLOps lacks enterprise-grade feature stores to stores, search, replace, and collaborate on ML models. This article will explore that problem in detail, and explore one such solution […]
AI+ITOps: Episode 3: Technology Is Hard – People Are Harder
This podcast was originally published in APMDigest
AI+ITOps: Episode 2: AIOps, Open Telemetry, Observability, and More
This podcast was originally published in APMDigest
AI+ITOps: Episode 1: An Insider’s Look at EMA’s AIOPS Research
This podcast was originally published in APMDigest
How COVID Pandemic is Making IT Operations Analyst Jobs More Stressful
The global pandemic has radically changed the way enterprise IT services are produced, consumed, and managed. It also has exposed a glaring difference between the “the haves and have-nots” of the software development and operations teams. Engineering teams riding on CI/CD and DevOps waves are starting to see the full potential […]
Why Infusing AI Into IT Operations Is More About The Data Than About AI Itself
Almost every CIO I talk to boldly claims their enterprise is a “data-driven enterprise.” However, a recent Global CEO outlook by KPMG survey tells a completely different story: 67% of the CEOs worldwide (that number jumps to 78% in the US) suggest that they ignored the data-driven analytic and predictive models provided […]
Serverless in the Enterprise: Building Stateful Applications
Cloud native applications allow enterprises to design, build, deploy and manage monolithic applications in more agile, nimble ways. These applications accelerate business value while driving greater operational efficiencies and cost savings through containers, a pay-as-you-go model, and a distributed runtime. However, current serverless implementations (namely, Function-as-a-Service, or FaaS for short) […]
