Operations | Monitoring | ITSM | DevOps | Cloud

What We Built in 2025, and Why It Matters Going Into 2026

As we move further into 2026, we wanted to pause for a moment and reflect on what the past year looked like for OnPage, not just in terms of features shipped, but in how the platform evolved to better support the way teams actually work in high-stakes environments. 2025 was a foundational year for us.

Why Today's ITOps Workflows Break When Systems Get Too Big

Modern, hybrid environments change continuously. But, legacy ITOps workflows assume stable infrastructure. IT environments don’t behave in predictable ways. Infrastructure changes continuously, services spin up and shut down on demand, and data formats evolve with every deployment. Most ITOps workflows, however, are still designed around the assumption of stability. That mismatch drives failure. Static runbooks expect environments to stay put.

The $1.4 Million Per Hour Business Cost of Downtime And How AIOps Help

Enterprise downtime now costs over $300,000 per hour for the majority of organizations, with large enterprises in critical sectors losing up to $1.4 million per hour when systems go offline. At the same time, cloud budgets continue to overshoot targets by double digits as organizations struggle to manage multi-cloud complexity, unplanned scaling, and resource misconfiguration.

How to Build Media Operations That Survive Full AI Automation

By the end of 2026, you will upload a product image and a budget to Meta, and its AI will generate the creatives, pick the audience, allocate spend across surfaces, and optimize in real time. Google’s Performance Max already automates bidding, asset selection, and cross‑channel allocation across Search, Shopping, YouTube, Display, and more.

Datadog vs. New Relic: 2026 Comparison

If you're working in IT monitoring and observability, you simply cannot ignore the power of Datadog and New Relic. These two tools have plenty of features that can revolutionize your entire observability strategy and give you complete control over your infrastructure. These tools are built so as to capture the tiniest of details, be it on applications, infrastructure, databases, servers, or something completely on the cloud.

AI in Contact Centers: Capabilities, Limits, and the Missing Decision Layer

AI in contact centers refers to the use of artificial intelligence technologies to automate customer interactions, support agents in real time, analyze conversations, and improve operational efficiency. In practice, this includes chatbots, virtual agents, intelligent routing, agent assist tools, sentiment analysis, and automated quality assurance systems designed to increase speed, consistency, and scale.

How AI OCR Is Reshaping Automated Data Extraction in Large-Scale Business Operations

Businesses handle massive amounts of data every day. Such data is obtained from invoices, bills, contracts, applications, and many other documents. Most of these documents are distributed in the form of scanned copies and images. As a result, whenever organizations resort to manual data entry in processing such data, the process turns out to be slow and filled with errors. However, to avoid these issues, organizations are now turning to AI-OCR solutions for better data extraction and increased operational efficiency.

What to Plan Before a Full Home Renovation Starts

A full home renovation can feel exciting at first, and then quickly turn into chaos if you jump in without a clear plan. The good news. Most renovation stress comes from the same few problems: unclear priorities, messy decisions, and unrealistic timing. If you handle those early, the rest becomes much easier to manage.