Monitoring Amazon EMR with Amazon ELB

To integrate Amazon EMR and Amazon ELB with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon EMR and Amazon ELB 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:

• Security reliability: Amazon AWS ensures its data center and network architecture meet even the most security-sensitive organizations' ever-evolving security requirements.
• Easy-to-use: Thanks to its ease of use, and the number of tools that are offered within the platform, Amazon EMR allows organizations to save both time and money by simplifying the processing of big data and providing a framework that makes distributing and processing vast amounts of data quick, easy, and, cost-effective.

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!

Amazon Elastic Load Balancing is a tool that automatically distributes incoming application traffic across multiple targets, including Amazon EC2 instances, containers, virtual appliances, Lambda functions, and IP addresses. Your application traffic can be handled by a single availability zone or across multiple zones. 

There are four types of load balancers available with Amazon Elastic Load Balancing:

• The Application Load Balancer is best suited for load balancing HTTP and HTTPS traffic with advanced request routing targeted at modern application architectures, including microservices and containers.
• The Network Load Balancer is best suited for load balancing Transmission Control Protocol (TCP), Transport Layer Security (TLS), and User Datagram Protocol (UDP) traffic where extreme performance is required. 
• The Gateway Load Balancer is used to deploy and run third-party virtual networking appliances. It provides load balancing and auto-scaling for collections of third-party apps.
• The Classic Load Balancer gives you basic load balancing across multiple Amazon EC2 instances. It operates at both the connection and request levels.

Amazon Elastic Load Balancing monitors your applications' health and performance in real-time with Amazon CloudWatch metrics, logging, and request tracing. These monitoring tools help you analyze your applications' behavior, uncover issues, and identify performance bottlenecks in your application stack. By using Elastic Load Balancing, you can also ensure compliance with application Service Level Agreements (SLAs).

With Metricfire, you can turbocharge your Amazon Elastic Load Balancing monitoring services. By integrating Amazon CloudWatch with the Metricfire platform, you can display your metrics on aesthetically pleasing dashboards. MetricFire's advanced filtering lets you choose only the data views you want to see and discard the rest. You can also set up simple rules to discard data you no longer keep, plus receive alerts via email or Slack when your load balancing is doing something it shouldn't.

To integrate Amazon EMR and Amazon ELB with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon EMR and Amazon ELB and get Amazon EMR and Amazon ELB 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: 

Cloud Monitoring

Hosted Graphite

Dashboards

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.

Easy-to-use dashboards
Easily share your dashboards with clients for free.

Responsive alerting
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.

Enterprise-ready
Dedicated clusters for users that need their own environment.