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Improving Engineering Decision Making
Plumbr collects data about user interactions and application performance. We present the result of some important data analysis experiments we conducted based on the monitoring
Filed under: Blog Monitoring
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Prioritizing Availability Issues
Embarking on deciding the priority of errors can lead to confusion and often times conflicts in teams. Engineers need to accept that not all errors
Filed under: Blog Monitoring
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Quantifying availability
One of the primary metrics that engineers who are responsible for web applications like to keep track of is ‘availability’. Let’s examine what are the
Filed under: Blog Monitoring
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Mapping Plumbr to Monitoring Terminology
There are four “cornerstones” upon which the whole galaxy of monitoring services is built. These are Availability, Latency, Throughput, and Capacity. Whether our applications are
Filed under: Monitoring Performance Plumbr
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An Engineer’s Guide To SLA, SLO, and SLI.
Engineers want software systems to be massive, yet be agile, to perform at the highest class, and to not compromise on security. They want software
Filed under: Monitoring
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Feedback and Monitoring in DevOps
The goal with today’s post is to further reaffirm the notion that Plumbr, as we envision it, is a key ingredient in a good DevOps
Filed under: DevOps Monitoring
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Outage == Outrage
Let’s own up – we’ve all been part of teams that have faced failures and/or slow performance in web applications. The Google SRE book[1] highlights
Filed under: Monitoring Performance Plumbr Product Updates
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The use of proxy indicators in service management
Proxy indicator is an indirect measure or sign that approximates or represents a phenomenon in the absence of a direct measure or sign. Lets look what this definition means in the context of service management and how we used proxy indicators ourselves in the absence of direct measure.
Filed under: Monitoring Performance
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How to set meaningful goals towards performance and availability requirements
When it comes to setting goals to performance and availability of the software, the outcome is often a set of complex and incomplete measures. In this post we explain how tracking a simple metrics will give you measurable and meaningful goal to focus upon
Filed under: Monitoring
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Visualizing layered graphs using Sugiyama method
Almost every complex problem can and should be reduced to the underlying fundamental concepts. This post is an example where a graph visualization task turned out to be adopting Sugiyama method for layered graph visualization.
Filed under: Monitoring