The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
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.
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
Unlike traditional SQL databases, NoSQL databases, or “non-SQL” databases, do not store their data in tabular relations. Originally designed for modern web-scale databases, they have found widespread use in present-day big data and real-time web applications. Some of the most commonly used data structures include key-value, wide column, graph, and document stores.
Metrics for all – and all for metrics. At Grafana, we not only strive to give people a “single pane of glass” to unify observability metrics. From the very start, our mission has been to advocate for the democratization of metrics, which is the idea that the paradigm needs to shift between who can store data, why they need to store it, and, ultimately, what they’re able to with it. And Grafana users are a great example of how vast and varied the needs are for data access.
After our initial release of Icinga Reporting for early adopters we continued our development and are happy to release v0.9.1 today. The release includes bug fixes and some minor enhancements for the usability. I want to take this opportunity to write a post aimed at the people who are new to the whole reporting shabang – like me. This week I set out to figuring out for myself why one would need to use reporting and how to get there – and to share my new knowledge with you!
