Christine and I started Honeycomb in 2016, which means it’s been ten years. Christine, a developer, and I, an operations engineer, were both profoundly unhappy with the state of the art in monitoring and logging tools. The tools we had used at Facebook didn’t spray our signals around to a bunch of siloed-off pillars. They consolidated as much context as possible so we could properly explore it, the way every other non-software engineering team already takes for granted.
In the previous post, we looked at how alert noise is rarely accidental. It’s usually the result of sensible decisions layered over time, until responsibility becomes diffuse and response slows. One of the most persistent assumptions behind this pattern is simple. If enough people are notified, someone will take responsibility. After more than fourteen years of working with engineering teams of every size and shape, we’ve seen this assumption fail repeatedly.
Dashboards are supposed to answer questions, not create more of them. But investigations don't stop at a single view. The moment you want to understand one specific thing in detail like a failing VM, a degraded service, a slow pipeline, dashboards start to break down. You end up either building yet another dashboard or searching through many different ones. SquaredUp's Perspectives changes this.
Having been around for a decade, the world's most popular container orchestrator has set a standard for how we run containers at scale. According to the CNCF, cloud-native adoption has reached 98% across organizations, showing that Kubernetes adoption is not slowing down. Whether you are looking to land your first kubernetes role or you are experienced and are looking to brush up on your knowledge, we’ve put together the top questions to learn more about Kubernetes.
Distributed systems quietly run much of today's digital world. People expect these systems to work reliably across regions and time zones for everything from money transfers to streaming platforms and AI-driven workloads. As organisations use more microservices, containers, and event-driven architectures, observability has become the main way for teams to understand what is happening in production.
Inventory systems have transformed from simple recordkeeping tools into essential drivers of supply chain performance. As global networks expanded and customer expectations accelerated, businesses needed greater speed, accuracy, and coordination to remain competitive.
More information was the way to improve yourself, and it wasn't difficult to see that your undergraduate degree was only the beginning of your journey into the workforce. Software to continuously learn has become very important as technology grows. Choosing the correct alternative can have a profound impact and significantly enhance a lifelong learning experience. But what should you look for in such a platform?
In the early days of AI video, the medium was largely defined by "one-hit wonders"-single, impressive clips that existed in a vacuum. You could generate a beautiful shot of a dragon or a futuristic city, but trying to tell a cohesive story with a beginning, middle, and end was nearly impossible. The characters would change, the art style would drift, and the logical flow between shots would crumble.
KPI dashboards can look like progress, especially when charts move and targets turn green. In many organizations, the dashboard becomes the meeting, the meeting becomes the process, and the process quietly replaces real problem solving. The result is a lot of motion, not much traction, and a team that feels busy without feeling effective.