Predictive Maintenance in Industrial Settings: Leveraging IoT and DevOps Practices for Maximum Uptime

Published: 2 weeks ago (January 5, 2026 at 01:55 PM EST)

1 min read

Source: DevOps.com

Introduction

In modern industry, keeping machines running nonstop is a challenge. Systems grow more complex each year, yet expectations for reliability never relax. Predictive maintenance has emerged as one of the most effective ways to meet that challenge, allowing teams to see trouble coming before it causes a…

Back to Blog

GitLab Delivers on AI Agents Promise to Automate DevOps Workflows

GitLab today made generally available an agentic artificial intelligence AI platform that automates software engineering tasks ranging from planning to applicat...

Building a GenAI-RAG Runbooks-Based ChatOps Assistant in AWS Bedrock With MS Teams Integration for Incident Management

Learn how AWS Bedrock, retrieval-augmented generation RAG, and ChatOps in Microsoft Teams transform incident response by turning fragmented runbooks into a GenA...

Yes, We Know AI Isn’t a Person

Let’s get the obvious out of the way right up front. AI isn’t a person. Thank you, Captain Obvious. We’re all on the same page. And yet, when we announced that...

DevSecOps In Digital Banking: Balancing Fast Releases With Regulatory Compliance

In the digital banking sector, fast releases of new features and security patches have become the norm. Unfortunately, many institutions lack the organization o...

Introduction

Related posts

GitLab Delivers on AI Agents Promise to Automate DevOps Workflows

Building a GenAI-RAG Runbooks-Based ChatOps Assistant in AWS Bedrock With MS Teams Integration for Incident Management

Yes, We Know AI Isn’t a Person

DevSecOps In Digital Banking: Balancing Fast Releases With Regulatory Compliance