Reliable Insights

A blog on monitoring, scale and operational Sanity

September 16, 2019

Looking beyond retention

How can you view older data, while keeping your monitoring reliable?

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September 9, 2019

What queries were running when Prometheus died?

As of Prometheus 2.12.0 there's a new feature to help find problematic queries.

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August 5, 2019

Putting queues in front of Prometheus for reliability

On a regular basis a potential Prometheus user says they need a different architecture to make things reliable or scalable. Let's look at that.

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June 17, 2019

Idempotent Cron Jobs are Operable Cron Jobs

Having to reconstruct how far a failed cron job had gotten and what exact parameters it was run with can be error prone and time consuming. There is a better way.

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December 17, 2018

Limiting PromQL resource usage

Prometheus has gained a number of features to limit the impact of expensive PromQL queries.

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August 27, 2018

Dealing with “too many open files”

While not a problem specific to Prometheus, being affected by the open files ulimit is something you're likely to run into at some point.

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March 5, 2018

Using sample_limit to avoid overload

Worried that your application metrics might suddenly explode in cardinality? sample_limit can save you.

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July 17, 2017

High Availability Prometheus Alerting and Notification

Prometheus is architected for reliability of alerting, how do you set it up?

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July 14, 2016

Monitoring without Consensus

When designing a monitoring system and the datastore that goes with it, it can be tempting to go straight for a clustered highly consistent approach. But is that the best approach?

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December 11, 2015

It’s overloaded? Try harder!

Failed requests are a fact of life, network weirdness and machine failures are inevitable. It can be tempting to simply retry the request when this happens, but this may cause more harm than good.

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