Prometheus As A Service
Identify the root cause behind container failures faster by using Prometheus as a Service
Trusted by engineering teams worldwide
Prometheus is one of the most popular metrics-based monitoring and alerting stacks and is the de facto choice for monitoring dynamic cloud environments.
Whilst Prometheus is well known for being a highly resource-efficient open-source tool, managing Prometheus at scale can be a difficult ongoing challenge. This is due to the tool requiring frequent upgrades, configuration, and federation from engineers in order to provide a global view of metrics activity affecting your infrastructure.
Experience scalable Prometheus and identify the root cause behind container failures faster by using Logit.io's Prometheus as a Service solution.
Introduction To Prometheus
Prometheus is a pull-based monitoring system that uses dynamic service discovery to find time-series metrics produced by containers, microservices, and virtual machines. Prometheus can be seamlessly harnessed to monitor both highly dynamic container environments as well as traditional bare server-based applications.
If you happen to run services inside a Kubernetes cluster, Prometheus is an excellent choice for retrieving metrics to give you an intuitive monitoring experience. Prometheus can also be used similarly to manage metrics from Google Kubernetes Engine (GKE).
Another useful aspect of Prometheus is its incredibly powerful query language, PromQL as well as its multidimensional data model which works in tandem to make performing ad hoc analysis easier. This is useful in cases where you need to cross-compare application-level metrics and system-level metrics together within a single query.
Prometheus is often deployed alongside Grafana to provide added functionality that you'll need to start building out metrics management reports and dashboards.
The Issues Of Scaling Prometheus
Whilst Prometheus is a popular solution for forwarding metrics this piece of open-source software can often prove tricky when it requires scaling to be suitable for enterprise use cases.
One common issue with using Prometheus is that gaining a global view of performance metrics can be difficult due to having to switch between separate Prometheus servers running in different regions.
This leads to the user also having to deploy multiple instances of Grafana or having to list different Prometheus servers as separate data sources within Grafana.
Whilst switching between different regions isn't too tedious, users that want a global view will find many shortcomings with having to use separate Prometheus servers for each region when they want to quickly see Global CPU usage or conduct capacity planning.
This is where additional tools such as Cortex or a manual process such as Federation bring their own challenges to maintain as part of your extended monitoring infrastructure.
If you are looking for a solution that provides horizontal scale and highly available Prometheus, then Logit.io's Prometheus as a Service gives you a global view of all of your metrics with zero gaps in data (due to bypassing the need to federate) as well as a fully managed service for hosted Grafana.
Why Use Logit.io's Prometheus As A Service?
With Logit.io's Prometheus as a Service solution you get a highly scalable version of Prometheus that offers a global view of key metrics without the need for maintenance, upgrades, or additional tools to add key functionality.
Alongside Prometheus, Logit.io's natively hosted Grafana provides a fully integrated reporting dashboard for visualising your time series metrics within a single centralised platform.
By outsourcing your Prometheus maintenance to Logit.io, you can allow your engineers to get back to working on new projects instead of having to spend time on the unforeseen maintenance so often required by free and open-source (FOSS) tools.
Streamline Business Operations with Prometheus as a Service
Gain real-time visibility into the health and performance of your infrastructure, applications, and services. With Prometheus as a Service from Logit.io, you can monitor key metrics, track trends, and receive alerts the moment issues arise, empowering you to respond swiftly and minimize downtime.
Set up intelligent alerting rules to notify your team of potential issues before they escalate. Our Prometheus as a Service solution can automatically trigger alerts based on predefined thresholds or anomaly detection, enabling proactive management and resolution.
Identify performance bottlenecks and optimize resource allocation with Logit.io's Prometheus as a Service. By analyzing Prometheus metrics, you can pinpoint areas for improvement, fine-tune configurations, and ensure optimal performance across your infrastructure and applications.
Support and Help Centre
The Logit.io platform is fully integrated with all of the essential support and onboarding tools required by professionals running a large-scale software infrastructure.
Our platform is built to ensure engineers have an easy experience across data ingestion and Stack creation through to reporting and visualising data. Our help center, live chat & regularly updated support documentation are also here to help you throughout your journey to observability success.
Security and Compliance
As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified you can rest assured that we uphold the best security standards possible to protect our user's data.
Our platform can also be used to accelerate compliance with the Cybersecurity Maturity Model (CMMC) certification for many of the requirements of levels 1, 2 and 3 of the AU (auditing and accountability) controls section.
What Are The Advantages of Prometheus as a Service
Companies Feel The Difference When They Use Logit.io
“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.”
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