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By actively monitoring the logs, metrics and traces that your organisation creates you can ensure that all of your key software, servers and operating systems are performing as expected. As log data can grow exponentially, organisations are increasingly turning to tracking and monitoring time-series metrics to better manage costs. The most popular open-source solution that offers monitoring and alerting for time series metrics is Prometheus.

Prometheus is a metrics-based monitoring and alerting stack made for dynamic cloud environments. When larger organisations wish to scale Prometheus so that it is able to ingest more metrics, add more measurements, and attempt to create a global view for improved visibility, this can cause many challenges.

Logit.io's Managed Prometheus service allows you to remotely store time-series metrics for long term storage and governance. The Logit.io platform also provides a complete in place alternative for locally hosted Prometheus, Thanos and any preexisting federation.

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What is PrometheusWhat is Prometheus

What is Prometheus?

At its core, Prometheus is a multi-dimensional data model that includes support for monitoring time series metrics. Monitoring metrics tends to be more affordable than monitoring logs. Time series metrics are essential to aggregate as they provide your engineers with vital health monitoring insights. Unfortunately as metrics lack detail necessary for debugging and lack inter-service correlation, log management is still necessary for solving common troubleshooting tasks.

One example of a use case where Prometheus can prove vital is in the event of having a website where you wish to monitor the following metrics; how many requests per second, latency distribution, error percentage of requests, memory usage and underlying resource usage metrics.

The Trouble With Scaling Prometheus

If a user has servers in multiple territories they will need to deploy their application with Prometheus servers added separately to each region.

Having additional servers running means you can not easily see things like global CPU usage within a single query. Undertaking tasks like capacity planning are made more tedious as you'll need to query various different servers and add usage figures together manually.

As you have more applications creating metrics over time, this often leads to you having to maintain more Prometheus servers (including multiple Prometheus federation servers). Upgrading, troubleshooting and monitoring all of these servers has to be conducted proactively to ensure that your monitoring can be relied upon to be accurate.

The amount of servers you need to maintain can easily multiply even more if you also need highly available data. If you require long term retention (which is often required to meet regulatory audits) then local storage of time series metrics will not provide the extensive amount of storage space needed to demonstrate compliance with standards such as CMMC and NIST.

The Trouble With Scaling Prometheus

Companies Feel The Difference When They Use Logit.io

Youredi testimonial

"Internally, Logit.io has made it easier for us to provide better support for our customers, since finding individual messages based on various data in the payload has become easier.

At Youredi, pretty much everyone from our technical support teams through to our professional services teams uses Logit.io."

Mats von Weissenberg, CTO @ Youredi

Why Use Logit.io?

Why Use Logit.io?

As your Prometheus environment grows and gets more complicated to use and maintain you will likely find that an inplace replacement for Prometheus will save your engineers hundreds of hours each year.

This is where Logit.io's offering of managed Prometheus and side by side Grafana® deployments can solve long term storage woes, provide the ability to scale and eliminate overheads associated with using open-source metrics, logs and trace analytics services.

When your team uses Logit.io there is no need for locally hosted Grafana or Prometheus infrastructure to be maintained. This means that you can eliminate the significant management overheads associated with large local Prometheus instances.

If you want to focus on your business and not on building a bespoke monitoring system then Logit.io's hosted solution for Prometheus will provide everything you need to achieve complete observability.

Experience scalable managed Prometheus, automatic service discovery, enterprise-level support and simplified Prometheus user experience with Logit.io

Getting Started With Hosted Prometheus

Getting started with Logit.io hosted Prometheus is fast and secure, and if you get stuck at any point our highly rated support engineers are always on hand to help.

Our managed Prometheus offering also works with our hosted Grafana solution as a popular metrics analysis stack which is also provided to allow you to visualise your metrics seamlessly all from the same centralised single pane Logit.io account.

Getting Started With Hosted Prometheus
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