Achieving Reliable Observability Part 1 – Making Cloud-Native Observability More Robust
Originally published in DevOps.com on March 30, 2021 I was having a conversation with a CxO level customer as part of an AIOps/Observability workshop, and from what I could tell, most are confused about how to properly operationalize cloud-native production environments – especially the monitoring/observability portion. Here is how the […]
What is AIOps? – AI for IT operations explained
Every business now depends on IT. Efficient IT Operations is mandatory for all businesses, especially those operating in a hybrid mode – a mix of existing data centers and multi-cloud locations. As with any business process, IT operations can be augmented with machine learning-based solutions. IT is particularly fertile ground for AI as it […]
Report: GigaOm Radar for Cloud Observability
Summary Observability is an emerging set of practices, platforms, and tools that goes beyond monitoring to provide insight into the internal state of systems by analyzing external outputs. It’s a concept that has its roots in 19th century control theory concepts and is rapidly gaining traction today. Of course, monitoring has been […]
Report: Key Criteria for Evaluating Cloud Observability
An Evaluation Guide for Technology Decision Makers by Andy Thurai and David Linthicum Summary The concept of observability has evolved over the years, referring to the ability to monitor the internal states of systems using the externally exhibited characteristics of those systems. It provides the ability to predict the future […]
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 […]
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 […]
Oracle OCI: Episode 7: What’s Next for Cloud Native Development Technologies?
This podcast was originally published in Oracle Cloud Innovator Series Oracle Cloud Infrastructure Blog Welcome to Oracle Cloud Infrastructure Innovators, a series of occasional articles featuring advice, insights, and fresh ideas from IT industry experts and Oracle cloud thought leaders. The next wave of cloud native development will be […]
Oracle OCI: Episode 6: The Intersection of Hybrid Cloud and Cloud Native Adoption in the Enterprise
This podcast was originally published in Oracle Cloud Innovator Series Oracle Cloud Infrastructure Blog Welcome to Oracle Cloud Infrastructure Innovators, a series of articles featuring advice, insights, and fresh ideas from IT industry experts and Oracle cloud thought leaders. Enterprises are turning in droves to hybrid cloud computing strategies, especially […]
Oracle OCI: Episode 5: Oracle Simplifies Cloud Native Development
This podcast was originally published in Oracle Cloud Innovator Series Oracle Cloud Infrastructure Blog Welcome to Oracle Cloud Infrastructure Innovators, a series of articles featuring advice, insights, and fresh ideas from IT industry experts and Oracle cloud thought leaders. The majority of enterprises are ready to join the cloud native […]
