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To integrate Amazon EMR and circleci with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon EMR and circleci and how that can support your monitoring system.
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!
CircleCI is a continuous integration and delivery platform (CI/CD) that you can install in a private cloud or data centers.
After you authorize a software repository, such as GitHub or Bitbucket, as a project on circleci.com, every code change you make triggers automated tests in a clean container or VM. After the tests are complete, CircleCI notifies you via email of successes and failures.
You can configure CircleCI to deploy code to various environments, including AWS CodeDeploy, AWS EC2 Container Service (ECS), AWS S3, Google Kubernetes Engine (GKE), Microsoft Azure, and Heroku. You can deploy other cloud services using SSH or by installing the service's API client with your job configuration.
System administrators can gather metrics for monitoring their CircleCI installation for various environment variables, including installed Nomad clients and Docker metrics. Metrics collected by CircleCI include basic information, such as CPU or memory usage, and more advanced metrics, such as the number of executed builds or the number of internal errors. By recording and analyzing metrics, you can quickly detect incidents and abnormal behavior, retroactively understand infrastructure-wide issues, and scale computing resources dynamically.
With MetricFire, you can turbocharge your CircleCI monitoring to a new level. One useful method of monitoring the changes in your codebase is by adding annotations whenever your tests run. For example, by adding CircleCI annotations to your MetricFire graphs using a webhook, you can keep track of which passed tests have affected your system performance (negatively or positively). This method can help you prioritize what to fix first, as a highly negative impact should have top priority.
To integrate Amazon EMR and circleci with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon EMR and circleci and get Amazon EMR and circleci interacting with your MetricFire dashboards directly.
MetricFire is a full-scale platform that offers infrastructure, system, and application monitoring using a suite of open-source monitoring tools. The platform allows you to use either Prometheus- or Graphite-as-a-Service and have your metrics displayed on aesthetically-pleasing Grafana dashboards.
MetricFire offers its users a complete ecosystem of end-to-end infrastructure monitoring, which is made up of three of the most popular open-source monitoring software services: Prometheus, Graphite, and Grafana. As well, plugins for a number of 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, we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire works to boost the unique features of the open source projects to give you more functionality than the original products. Below are some of the MetricFire features at a glance:
Cloud and on Premise Monitoring
Hosted Prometheus
Hosted Graphite
Grafana Dashboards
Whether to use Prometheus or Graphite is a great question. We’ve looked deeper into this decision in our blog article, Prometheus or Graphite. While Prometheus is a newer software that has a multidimensional data structure, Graphite is robust and sufficient. 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:
No vendor lock-ins
MetricFire allows you to request for a full export at any time, because you will always own the data you input. You get all the benefits of an open-source tool with the stability and security of a SaaS tool.
Easy Budgeting
A structured pricing model allows you to save time and work within your budget. The predictability and transparent pricing allows you to keep your costs in check and plan for the future.
Transparency
MetricFire works transparently on all aspects of their operations of SaaS system monitoring. You can see their own internal system metrics at their public status page.
Robust Support
Technical support is provided by engineers for engineers, so you can expect detailed and relevant answers to your queries.
“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.”
