To integrate GitHub and Amazon EMR with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating GitHub and Amazon EMR and how that can support your monitoring system.
GitHub is a service for hosting code and doing version control for code. The foundations of GitHub is "Git" - which is an open source version control system.
Git allows multiple coders to contribute to one project, while remembering which is the most up-to-date version. Git also remembers who contributed and what they contributed to the project. All modifications and revisions are stored in a central repository, and contributions are made through a pull request.
Pull requests can be made by anybody, but they must be approved by the repository admin. In some projects, pull requests can be contributed without approval. However, most projects have some quality assurance processes.
When doing application performance monitoring for a project built in GitHub, you’ll want to export data about your GitHub setup into your regular monitoring dashboards. You want to monitor when changes happen, and the effect they have on your system.
For example, if you make a change to your code, and suddenly the latency of requests to your server increases - you’ll want to know exactly which pull request caused that change. If you didn’t know that there were any changes in your code, then you wouldn’t be able to correlate the change in your code with the changes in how your system is behaving. This will slow down your debugging process.
With MetricFire, you can get all of your monitoring dashboards automatically annotated with the changes you’ve made to your code in GitHub. If there are any changes in behavior, a small note will be present in the graph to tell you what’s happening in your environment.
This enables you to automatically monitor the correlation between GitHub changes and how your system is functioning.
Amazon Elastic MapReduce (EMR) is an Amazon Web Services (AWS) tool designed for big data processing and analysis. EMR is based on the Java-based programming framework Apache Hadoop, which supports the processing of large data sets in a distributed computing environment. MapReduce is a software framework that works by enabling developers to write programs that process vast amounts of unstructured data in parallel over a distributed cluster of processors.
EMR is used to analyze data in log analysis, data warehousing, web indexing, machine learning, financial analysis, scientific simulation, bioinformatics, among many other uses. Amazon EMR also supports workloads that are based on Apache Spark, Presto, and Apache HBase.
Amazon EMR can also be used to transform and move large amounts of data into and out of other AWS databases.
Amazon EMR has a number of benefits, including:
Monitoring Amazon EMR clusters is key to detecting critical issues with real-time applications and identifying the root causes ASAP. When you do performance monitoring, you can track how the clusters are used over time. This insight allows teams to find potential bottlenecks and optimization opportunities. Performance monitoring is your best bet to catch any issues as they happen and before they turn into major problems.
Did you know that you can integrate Amazon EMR with MetricFire? MetricFire provides a complete infrastructure and application monitoring platform from a suite of open source monitoring tools. Depending on your setup, you may choose Hosted Prometheus or Graphite and view your metrics on beautiful Grafana dashboards in real-time. Integrate with Amazon EMR to make the most of both services today!
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:
Simple, low-cost pricing
A structured pricing model based on unique time series metrics allows you to work within your budget. The predictability and transparent pricing allow you to keep your costs in check and plan for the future. 1 metric is 1 metric.
Easily share your dashboards with clients for free.
Alert notification integrations PagerDuty, Slack, email, and webhooks.
Freedom of customization
Custom metrics through your code.
Fantastic customer support
Highly available support is provided by engineers for engineers to get you set up quickly.
Dedicated clusters for users that need their own environment.
Why thousands of engineers choose us:
Vendor lock-in's not our thing. We’re believers in you still owning your data, so you can request a full export at any time. That means you get all the benefits of an open-source tool, but with the security and stability of a SaaS tool.
“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.”
Maxime Audet, Cloud-Ops Team Lead, CoveoRead customer story
Save valuable engineering time and stick within your budget. We're known for our predictable and transparent pricing so it's easy to keeps costs under control.
“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”
Jim Davies, Head of DevOps, MoneySuperMarket.comRead customer story
Transparency is at the root of how we operate: from pricing to postmortems we're open about how we do things. We even publish our internal system metrics to our public status page.
“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.”
Itai Yaffe, Big Data Developer, NielsenRead customer story
Our first line, technical support comes from engineers, for engineers. So you get highly detailed, expert support when you need it.
"Every time I have a question, I get an answer from support after just a couple of hours. Their technical knowledge is excellent.”
Shahar Kobrinsky, VP of Architecture and Scale, EyeviewRead customer story