Bill Glover

If you work with Kubernetes, I recommend you take a look at Octant, a VMware backed tool that allows you to visualise and work with deployments on top of Kubernetes.

With custom metrics, you are no longer constrained to using technical indicators as a proxy for a business event. In this post I take you through how to use Wavefront to add custom metrics to your application. Ever wanted to see your electricity consumption up on a dashbaord? This post is for you.

Understanding the way applications behave is critical to ensuring they are effective. For much of my career, application logs have been the dominant tool of choice for system observability and with good reason: Logs are present in most vendor applications and are easy to add during custom development. Logs (or print statements) are often the tool of choice for debugging during application development. But if logs are all powerful, how did metrics become so popular. In this first of a series of posts, I look back of my experiences with logging.

I’ve run a few workshops recently that have involved streaming live terminal sessions to remote participants. During these workshops, we explore how different personas interact with Kubernetes. As we work through the topics, we switch between various personas. The terminal provides few visual clues as to the active persona. We can fix that.

I’d assumed the Go compiler provided a robust abstraction across CPU architectures. Code that ran on one CPU architecture would run on another. It turns out I was wrong. In this post, I provide a minimal example application that demonstrates the importance of field alignment when using sync/atomic and 64-bit values.

If you work with Kubernetes, you’ll be aware of the config file that defines contexts. This config is what kubectl uses to gain access to a cluster. I work with a large number of ephemeral clusters and have found that this config is difficult to manage. This post shows how I’ve switched to using individual config files for each cluster.

So you’ve done the Kubernetes thing, you have micro-services, and use all the frameworks. You’ve rolled out one or more continuous thing doers and have more metrics than you know how to dashboard. Despite all this, you are struggling to release products as fast as the business would like. It might be time to explore your path to production.

As a child, I had a nasty experience involving pizza, anchovies and a small fish bone. I’ve never touched anchovies since and it has taken me a long time to get used to the idea of eating fish at all. But that’s not what I’m here to write about. I’m here to share a different experience of fish bones, the fishbone diagram.

To capitalise on modern platform capabilities, applications need to be platform aware. They need to be cloud native. An oft overlooked example is health probes. Without these endpoints, platforms can only make crude assessments of applicat

Anyone looking for statistics on their blog will find themselves pushed towards the big names in web analytics. In return for statistics, you are encouraged, if not required, to gather more information about your readers than strictly necessary. Even if you gather statistics from your server logs, you are almost certainly logging unnecessary information about visitors. It doesn’t have to be this way.