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To integrate Load Balancers and Prometheus with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Load Balancers and Prometheus and how that can support your monitoring system.
Load balancing is a process used in computing, and is in the field of parallel computers. This process involves sharing or distributing a set of tasks over a set of resources. These resources can be a set of physical or virtual components of a computer system. The result of load balancing makes the processing of these tasks more efficient and optimized. This helps to avoid unevenly overloading compute nodes while other compute nodes are idling and not doing anything.
Load balancing is often approached in two ways, static algorithms and dynamic algorithms. Static algorithms do not take into account the current state of the different machines. The Dynamic algorithm approach, however, exchanges information between the different computing units. This process may result in a loss of efficiency, but the reward usually outweighs the risk. This approach is used more generally.
Prometheus an open-source systems monitoring and alerting software. It was originally built at SoundCloud in 2012, and now has a very active developer and user community. Prometheus records real-time metrics in a time series database. It is built using a http pull model and has a flexible query language (PromQL) with real-time alerting. The Prometheus server actively pulls (scrapes) metrics from applications it monitors. This is in contrast to other tools such as Graphite, which passively waits for the applications to push their metrics.
Prometheus is composed of multiple components, such as; The Prometheus Server, Client Libraries and Exporters, Push Gateway, Alertmanager, and various support tools. MetricFire's Hosted Prometheus is maintained, updated, and hosted for ultimate ease of use. Setup is convenient and quick, which addresses common issues found with integrating and maintaining open source Prometheus.
To integrate Load Balancers and Prometheus with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Load Balancers and Prometheus and get Load Balancers and Prometheus interacting with your MetricFire dashboards directly.
MetricFire is a full-scale platform that provides infrastructure, system, and application monitoring using a suite of open-source monitoring tools. We enable you to use Hosted Graphite and aesthetic custom dashboards to visualize your metrics so you can understand what is happening.
MetricFire offers users a complete ecosystem of end-to-end infrastructure monitoring, comprised of popular open-source monitoring software services: Graphite and popular dashboards. Plugins for many other open-source projects are preconfigured, such as StatsD, collectd, and Kubernetes. You get all these within a hosted environment as a single product. Not only does MetricFire fit well into the infrastructure monitoring use-case, such as network monitoring and server monitoring, but we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire boosts the unique features of open-source projects to give you more functionality than the original products. Below are some of the MetricFire features at a glance:
The key thing to remember is that Hosted Graphite by MetricFire is more than just Graphite. Our Hosted Graphite product actually adds data dimensionality and better data storage.
The benefits of MetricFire are:
“We now have over ten times the amount of metrics we started with, and on different accounts. One of the great things about MetricFire is that scaling to support this increase has been hassle-free, requiring no additional work on our side.”
“Building and managing an on-premise installation at this scale would require a lot of engineer time, especially in the first year...we use this engineering time to work on initiatives closer to our core business”
“There’s complete transparency with everything MetricFire do which means we can accurately predict what we’ll be spending and comfortably keep within our budget.”
"Every time I have a question, I get an answer from support after just a couple of hours. Their technical knowledge is excellent.”
In this article, we’ll discuss what can go wrong with our machine-learning model after... Continue Reading
In this article, we’ll discuss what can go wrong with our machine-learning model after... Continue Reading
