To integrate Amazon EMR and collectd with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon EMR and collectd 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!
Collectd is system statistics collection daemon that periodically retrieves system and application performance metrics and then stores them using various storage solutions such as RRD files. Collectd is a free open-source project. It can gather metrics from multiple sources, including operating systems, applications, log files, and external devices. You can use the statistics compiled by collectd to monitor systems, detect performance bottlenecks, and predict future system loads.
Because it's written in C, collectd is built for performance and portability, allowing you to run it on systems with no scripting language or an embedded system. It comes with optimizations and features to handle hundreds of thousands of metrics. Collectd also lets you configure what metrics you want to capture and what frequency you want to capture them, allowing you to scale back your metrics collection collect only the metrics that make sense for your business needs. Its modular architecture allows the daemon to use only the resources required to do the job.
Collectd only performs the collection and transmission of the metrics. It does not analyze or present the metrics on its own. But by integrating collectd with the Metricfire platform, you can enjoy metrics displayed on aesthetically pleasing dashboards. Our integration lets you view metrics on essential systems and application log messages on your Hosted Graphite graphs and dashboards.
You can download a collectd configuration file pre-filled with your Hosted Graphite account details on our add-ons page. This configuration comes with several collectd plugins enabled, including CPU, DF (file system usage), disk, entropy, interface, load, memory, processes, rrdtool, swap, users and write_graphite.
To integrate Amazon EMR and collectd with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon EMR and collectd and get Amazon EMR and collectd 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.