Operations | Monitoring | ITSM | DevOps | Cloud

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 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.

In August 2012, we set out to build a fairly priced, developer-centric APM and logging platform that we’d love to use ourselves. Soon after, AppSignal was born and quickly gained traction. Despite operating in a competitive market, we’ve become a household name among many of our peers, now serving over 2,000 organizations across six continents.

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.

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.

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.

Written by author, adapted by AI Tasteful AI features? Is that even a thing? With GitKraken Desktop 11.1, we think we’ve struck the right balance of adding useful AI capabilities that stay out of your way until you actually need them. In our previous release, we introduced GitKraken AI, which helps explain selected commits and generate commit messages. With 11.1, we’re building on that foundation with two major enhancements that bring even more context-aware assistance to your workflow.

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.

A paper on this topic was prepared for internal use within HAProxy last year, and this version is now being shared publicly. Given the critical role of SSL in securing internet communication and the challenges presented by evolving SSL technologies, reverse proxies like HAProxy must continuously adapt their SSL strategies to maintain performance and compatibility, ensuring a secure and efficient experience for users. We are committed to providing ongoing updates on these developments.