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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
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Discovering the systems your application is integrated with
Transparency to how the distributed applications behave in production is valuable insight. One of the aspects of this insight is to be able to see which external systems are integrated with your application nodes. This post describes how we implemented to support for discovery, modeling and visualization of such integrations.
Filed under: Monitoring
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Time in distributed systems
Handling the concept of time in a distributed system is apparently different from having to deal with just one system clock. This post will cover the approach we took when making sure the data gathered from different nodes with different system clocks in different timezones can be linked together.
Filed under: Monitoring
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Distributed tracing
Plumbr is able to trace user interactions across multiple nodes. In this post we describe how we built the solution enabling the distributed tracing.
Filed under: Monitoring