Operations | Monitoring | ITSM | DevOps | Cloud

Git Integration for Jira (GIJ) is evolving. For over a decade, we’ve helped tens of thousands of organizations bring Git repository activity from any provider into Jira. Soon, our mission will expand beyond connecting Git and Jira—to helping your team cut through the noise and surface the signals that drive better decisions.

Figuring out why things break still sucks. We’ve got all the data: metrics, logs, traces, but getting to the actual root cause still takes way too long. Observability tools show us everything, but they don’t really tell us what’s wrong. So why do we even need to automate root cause analysis? First, time. Outages are expensive. And if your system has hundreds or thousands of services, digging through everything by hand just takes way too long.

Most Mobile Network Operators (MNOs) prioritized the deployment of 5G RAN infrastructure for both data and voice. Refarming 3G radio spectrum, implementing network slicing, adopting cloud native architectures, and driving automation are key for mobile networks. This blog will explore these ideas and show how Ribbon’s solutions are focused on this accelerated adoption.

Histograms help you monitor and visualize the distribution of values for key metrics, such as response times or request sizes of a service. They’re frequently used to gain insights into data patterns, anomalies, and trends, making them an important tool for observability.

The AI chatbot market has grown exponentially since ChatGPT's launch in 2022, with millions of chatbots now in use. At a surface level, AI chatbots are a computer program that simulates human conversation with an end user (IBM). As the market continues to evolve, the differences in their approaches to data privacy, security, and user control have become increasingly important. This is particularly relevant for organizations seeking to leverage AI chatbots while ensuring the protection of sensitive data.

Can you believe one-third of 2025 is already behind us? Just in case the Easter Bunny didn’t leave anything good in your basket this year, we’ll treat you to a little Easter egg — if you’re willing to follow the clues — along with the scoop from this past month. Here’s what you might have missed in April: Read on for the details!

The automation era brought speed. The AI era brings judgment. And now, a new chapter is unfolding—one where infrastructure no longer waits for human instruction but instead governs itself. We’re entering the age of AI-governed infrastructure, the natural evolution of AI operations management. It’s not about replacing people; it’s about eliminating inefficiency, unlocking resilience, and empowering IT systems to heal, respond, and optimize on their own.

Feeling hot hot hot? If you’re interested in knowing what is hot cloud storage, you’re in the right place. Hot or cold storage are a common way to describe different kinds of storage, but what do they mean? Hot or cold storage describes how easily or quickly you can access your data, hot being the quickest, and cold being the slowest, and is for data you rarely need.

Let's face it: no one likes patching. For some IT ops teams, it's such a burden that it's easy to forget why patching is important. Lots of teams put off patching until it's deemed absolutely necessary, like a vital app update or a piece of critical software going EOL. We all know ignoring patches, or letting them pile up, is a bad practice. Read this blog to remind yourself why patching is crucial, what can happen if you don't patch, and how to stop putting it off.

In modern distributed architectures, observability has shifted from optional to necessary. OpenTelemetry has emerged as the standard framework for telemetry data collection, with exporters serving as the critical bridge to your backend monitoring systems. For developers at any stage—those new to observability practices or those refining existing monitoring setups—a solid grasp of OpenTelemetry exporters will significantly reduce debugging time and improve system visibility.