Operations | Monitoring | ITSM | DevOps | Cloud

As someone with Type 1 diabetes, reliability is a way of life for Nick Mason, Sr. Solutions Architect at Gremlin. Full transcript: Reliability isn't just a metric, to me, it's a mindset. As someone that works in site reliability engineering and also someone who lives with type one diabetes, the concept of reliability is deeply personal to me. In tech, reliability means building systems that are going to recover gracefully and in life with a chronic condition like diabetes, it's the same thing.

When your systems are reliable, it means your customers can count on your applications to be there for them. Full transcript:  To me reliability means a good night's sleep, and being able to confidently go to bed and wake up the next day feeling ready to get out there and do my best work and not worry about the experience that our customers might have had through the night.

Reliability means a lot of things to a lot of people, but it’s also essential for every digital business. That’s why we’re talking to reliability experts from all over to find out what reliability means to them and how you can improve it. Transcript:  You know, we're all out here building and operating digital businesses and like nobody's talking about reliability enough. We gotta talk about it. I can't stop talking about it and I've been on call for like 20 years.

🐧🐝 Use open source, automatic eBPF observability to quickly fix Patroni failures in your kubernetes cluster: https://t.ly/qBH9f

#devops #opensource #observability #kubernetes #postgresql

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Do you know if your services can tolerate losing a node? What about an entire availability zone? Or a region? Large-scale outages aren’t unheard of. When you’re running critical services, it’s vital that those services can keep running even if an AZ or region fails. In addition to failing over, these services also need to scale quickly so traffic shifts don’t overwhelm your systems. How do you prove that a service is both scalable and redundant? The answer is with Fault Injection.

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Service meshes bring applications together, but not always reliably. Even the most well-configured Istio deployment can have unexpected reliability risks that aren’t apparent until you’re already in production. Latency, single points of failure, poorly defined APIs—these problems can grow beyond a single service and impact the user experience for your entire application.