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Those of you that have followed my blogs for the last 20 years know that I’ve never been a fan of monitoring items such as percentage use of CPU and memory usage, and this has become even less worthwhile when you introduce microservices into your applications. Saturation also covers predictive monitoring so you should be using tools that will show you potential saturation issues before they happen not after they have occurred, and it is too late. The level to monitor saturation at will depend on when you start to see degradation in performance which will probably happen before you hit 100% on the metric you are measuring.

If it’s memory-constrained then show memory, if it is an I/O-constrained system then show I/O and for Java™ applications measure heap, memory, thread pool garbage collection. This measurement depends on how your system is constrained.

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This is how full your service is (or will be). The successful implementation of the golden signals is key to achieving observability.

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These have been adopted by many software providers and subject matter experts and have now become universally accepted as the starting point for many monitoring solutions. In this document, they defined the four metrics that you should monitor before you look at anything else and they called these the Four Golden Signals. Google defined the Four Golden Signals in chapter 6 of their Site Reliability Engineering (SRE) Guide. Or to put it more simply – we have the Four Golden Signals. If we take the Saturation signal from the USE method and combine it with the RED method, we have Latency (duration), Errors, Traffic (Rate) and Saturation. Why do we need anything else? It turns out we don’t. We have a methodology that works with microservices.

Duration – How slow my service is (latency) or the number of time requests takes to complete.

Errors – How many errors is my service-producing or the number of those requests that are failing.

Rate – This is how busy my service is (throughput) or the number of requests per second.

In this way, the RED method helps us to understand the impact on the user/customer. The RED Method defines the three key metrics you should measure for every microservice in your architecture. This is more application focused and not resource scoped as the USE method is and duration is explicitly taken to mean distributions, not averages. The RED method goals are to be environment/stack agnostic. “We really wanted a microservices-oriented monitoring philosophy, so we came up with the RED Method.” He said, “The USE Method doesn’t really apply to services it applies to hardware, network disks, things like this,” he continued. Therefore, it wasn’t long (2015) before Tom Wilkie of Grafana defined a new methodology with the acronym RED. The problem with the USE methodology is that when you have to build checklists it is not expandable to a modern microservices architecture.

Saturation – the degree to which the resource has extra work which it can’t service, often queued.

Utilisation – the average time that the resource was busy servicing work.

There is also the Rosetta Stone of Performance Checklists, automatically generated from some of these. It directs the construction of a checklist, which for server analysis can be used for quickly identifying resource bottlenecks or errors. In 2012 Brendan Gregg defined the Utilisation Saturation and Errors (USE) methodology for analysing the performance of any system (rather than application). This blog will finally answer that question.

You don’t win, you are left with the ignominy of collecting the loser’s prize of a Blankety Blank chequebook and Pen, and for the next 23 years you are left contemplating, “What is a Golden Signal”? The celebrity (who it turns out was a time-travelling IT worker from 2021) gasps and slowly turns their card around to reveal “Golden Signals”.

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You ponder for a while before settling on “GoldenEye”, a recent movie that was a hit just a few years back. The host, Lily Savage reads out the phrase, “Golden Blank” and all you now have to do is match your blank word for that chosen by the celebrity. All that lays between you and shiny clean dishes is to match your answer to that of your chosen celebrity. Imagine that you have made your way through to the Supermatch in which you have a chance to win the star prize of a dishwasher.

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This week I want you to cast your mind back to 1997 and the TV show Blankety Blank. If you read my last blog on Observability or watched the associated webinar then you will know that I’m a fan of old TV game shows.