As a CIO or IT leader, the need for speed and efficiency is always in tension with governance and compliance requirements. Sounds all too familiar – the frustration of slow incident resolution, outdated ownership records and resistance from engineering teams. You’ve sunk significant time and effort into implementing your ITSM platforms (such as ServiceNow), yet you struggle with buy-in and adoption from engineering teams. They can’t afford to be throttled any further.

It was 3AM at Newark Liberty International Airport. I was groggy, waiting in line to get my boarding pass, only to be met with a blue screen on the check-in kiosk. Needing some coffee, I learned the vendor was only accepting cash. There was clearly a big outage and I quickly checked our systems at PagerDuty. Major outages happen multiple times per year, so frequently that we have an internal dashboard (colloquially referred to as “the internets are broken”).

In today’s fast-paced development landscape, environments are no longer simple or isolated. You’re managing resources that span across development stages, geographies, and technologies. And as those environments grow more complex, so does the need for a more logical and efficient way to manage them.

When it comes to setting up new technology – especially one you rely on for monitoring and maintaining IT infrastructure service health and availability – the process is far more intricate than just tweaking a few settings. It demands thoughtful planning and specialized knowledge to ensure seamless integration and alignment with your operational goals. That’s why we’re excited to offer the ScienceLogic AI platform in both cloud-based and on-premises configurations.

How do you know what you need from a machine vision system? Or if machine vision is even the right imaging technology for what you need to see? Do you need deep learning optical character recognition (OCR) or some other AI-centric vision tools? How do you ensure your machine vision system will work well with your robotics components or RFID or any other connected technologies on the line? And how do you get the lighting right?

' Whether you’re a seasoned IT professional or just beginning to explore the intricacies of network monitoring, you may have heard about "Network Monitoring" and how important it is to ensure that your network, and all its related applications, services and devices, are working as they should be.

As part of our strategy to build for scale, security, and performance, Bitbucket Cloud is continuing to deliver features that help enterprise teams operate at scale to build world-class software. We've made a lot of progress this year with new features across code review and CI/CD. We've added AI functionality, added features to help you scale your CI/CD workflows, and integrated with Forge, our cloud app development platform, to help you build customizations into Bitbucket to meet your specific needs.

The news is filled with buzz about how companies approach AI. As a result, many organizations are trying to identify how AI can effectively support their business goals. There seem to be infinite use cases, but finding those that add the most value is often the first challenge. In the ITOps environment, generative AI copilots can effectively improve team efficiency, share knowledge, and support day-to-day tasks to deliver immediate value.

Most companies prioritize developer productivity, yet inefficiencies continue to cost dev teams valuable time. In fact, Atlassian’s State of Developer Experience report reveals that nearly 70% of developers lose more than eight hours a week to workflow friction. Atlassian Solution Partners are uniquely positioned to address this challenge, and GitKraken’s new DevEx Advance Partner Program is designed to help them do exactly that.