In this clip of The Debrief, Milly explains what Suggested Summaries are and how they can be a huge benefit for teams. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

In this clip of The Debrief, Milly walk through how the incident.io team actually built out our latest AI feature: Suggested Summaries Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

In this clip of The Debrief, Jack dives into the several benefits of adopting and incident management tool to respond to data issues. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

In this clip of The Debrief, Jack talks about how easy it has been for him and his team to start using incident.io to management data incidents. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

In this clip of The Debrief, Jack talks about why it just makes sense for data teams to adopt an incident management tool to manage data incidents. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

In this live stream, we show how you can get RabbitMQ latency metrics between producers and consumers via distributed tracing. We also touch upon standard metrics monitoring like channel queue length, etc.

Public interest drives a swift response to a cybersecurity exploit. Various research firms begin developing their own countermeasures within a day. Social media and GitHub trackers monitor the progress of these projects. By May 20th, several teams confirm their ability to counteract the vulnerability within six days.

What's a Git patch, you ask? 🤔 Let our GitKraken Ambassador, Kevin Bost @Kitokeboo, break it down for you! 💻✨ Discover how to whip up a Git patch file (with a touch of PowerShell wizardry) within the GitKraken Client.

What is the state of the database landscape in 2024? Join Redgaters Steve Jones, Ryan Booz and Beca Parker as they introduce our key findings from our State of the Database Landscape survey and offer their thoughts on the big changes coming in 2024 and beyond.

Looking for more effective Microsoft 365 management? Boost technician efficiency with NinjaOne and CIPP’s game changing integration. Join us as we reveal all you can do with NinjaOne and CIPP together. Register now and learn how to bring Microsoft 365 management to your NinjaOne console.