Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Audiences: AI That Tailors Incident Communication to Every Stakeholder

When incidents strike, clear communication is crucial — but one size doesn't fit all. Customer support needs to know what users are experiencing and possible workarounds, execs need business impact updates and timelines, and engineers need deep technical details. Manually juggling these different communication needs is time-consuming, error-prone, and frustrating when every minute counts.

Enhancing Patient Care Through Integrated IT and Communication Solutions

Healthcare is changing fast, and technology is playing a huge role in making it better. Imagine doctors, nurses, and caregivers working together smoothly, sharing patient information instantly, and making decisions faster. That's the power of integrated IT and communication solutions in healthcare.

Retrieving All Keys in Redis: Commands & Best Practices

Need to list all the keys in your Redis database? If you're debugging an issue or just checking what's stored, retrieving all keys is a useful skill for any developer. This guide covers everything you need to know—from the basic commands to the performance implications—so you can query Redis efficiently without slowing things down.

Generating Calculated Fields From Natural Language

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

Marty Weiner's AI Predictions: What to Expect in the Next 2 Years

Recorded at Civo Navigate San Francisco 2025, Marty Weiner, co-founder of VerifyYou and former CTO of Reddit, delivers a shocking talk on the current state of AI and its rapid progression. From its impact on various industries to its potential effects on the economy and job market, Marty explores the exciting and terrifying aspects of AI. He also discusses the concept of AGI and its potential implications for civilization. Watch to learn more about the future of AI and what it means for humanity.

How to Analyze Logs Using AI

Your tech stack is growing, and with it, the endless stream of log data from every device, application, and system you manage. It’s a flood—one growing 50 times faster than traditional business data—and hidden within it are the patterns and anomalies that hold the key to the performance of your applications and infrastructure. But here’s the challenge you know well: with every log, the noise grows louder, and manually sifting through it is no longer sustainable.

AI Agents: Your data sidekick (minus the coffee breaks)

Do you ever wish you had a personal data guru who could magically sift through all your data, spot patterns before they become problems, summarize everything in a way that actually makes sense and propose recommendations? Well, meet AI Agents—the “digital teammates” who do all that without demanding coffee breaks.

Will DevOps as We Know It Survive the AI Revolution?

Is DevOps on the brink of extinction? Solomon Hykes, co-founder of Docker and CEO of Dagger.io, explores how AI agents are transforming software development—not just writing code but shipping it. In this talk at Civo Navigate San Francisco 2025, Solomon retraces the history of software’s industrial revolution and examines whether AI will replace DevOps engineers or empower them. With live demos and expert insights, he reveals what’s next for the software factory and the future of platform engineering.

Simulating artificial intelligence service outages with Gremlin

The AI (artificial intelligence) landscape wouldn’t be where it is today without AI-as-a-service (AIaaS) providers like OpenAI, AWS, and Google Cloud. These companies have made running AI models as easy as clicking a button. As a result, more applications have been able to use AI services for data analysis, content generation, media production, and much more.