A while back, I wrote about how you can shave latency off every AWS SDK operation by enabling HTTP keep-alive, like this. It had the desired effect and I saw lots of people apply this technique in their projects. But it also resulted in the same 10 lines of code being copied and pasted everywhere! I began thinking about ways to distribute an optimized version of AWS SDK so everyone can benefit.

Tracing is one of the key tools that Honeycomb offers to make sense of data. Over the last few weeks, we’ve made a number of improvements to our tracing interface — and, put together, those changes let you think about traces in a whole new way! Tracing makes it easier to understand control flow within a distributed system. We render traces with waterfall diagrams, which capture the execution history of individual requests.

If tech support had a motto, it’d be reminiscent of Rule #4 of the Auvik Way: Even when it’s not your fault, it’s your problem. But sometimes, there are problems so bad you wouldn’t want to deal with them. We’ve rounded up 17 examples from the r/techsupportgore subreddit that are sure to send a palm to your face and a shiver down your spine: Plugging in your USB receiver with a hammer for that flush mounted look. from r/techsupportgore Good luck getting that one out.

In this blog series, we will cover how Fastly and Sumo Logic empower organizations to deliver best-in-class user experience. For the first installment, we take a closer look at Fastly CDN--what it is and how it works.

At Monitorama 2018, Engineering Manager Kale Stedman shared Demonware’s journey to assisted remediation, or as he likes to call it: “How my team nearly built an auto-remediation system before we realized we never actually wanted one in the first place.” In this post, I’ll recap Kale’s Monitorama talk, highlighting the key decisions that helped his team reduce daily alerts, fix underlying problems, and establish a more engaged Monitoring Team — including the steps the

If you are hosting your application with Heroku, and find yourself faced with an unexplained error in your live system. What would you do next? Perhaps you don’t have a dedicated DevOps team, so where would you start your investigation? With Scout APM of course! We are going to show you how you can use Scout to find out exactly where the problem lies within your application code.

Often there’s a focus on how a service is running from the perspective of the organization. But what does service health monitoring look like from the perspective of a user? There are many metrics that indicate the overall health of a container, vm, or application, but independently they do not indicate if the system is functioning correctly. Often these metrics (CPU, disk, memory) are too narrow, and they can be poor indicators. High CPU may be desirable or bursts of memory usage may be normal.

How much infrastructure for a domain or application can fail before the customer starts to notice? What about before your productivity is affected? The answer to these questions will help you fully utilize uptime monitoring. Here are just a few examples of services that can be monitored for better piece of mind.