To integrate Amazon SQS and Amazon ELB with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon SQS and Amazon ELB and how that can support your monitoring system.
Amazon Simple Queue Service (SQS) is a message queuing service that you use to decouple and scale microservices, distributed systems, and serverless applications. Amazon SQS supports programmatic sending of messages via web service applications as a way to communicate over the Internet. It is fully managed and eliminates the complexity and overhead associated with operating message-oriented middleware. Amazon SQS is used by companies such as Netflix, Dropbox, NASA, and more.
With SQS, you can send, store, and receive messages between software components with the need for another service. You can get started with SQS in minutes using the AWS console, Command-Line Interface, or SDK of your choice.
SQS offers two types of message queues:
You can use Amazon SQS to add an extra layer of security to your messaging services. You can exchange sensitive data between applications using server-side encryption (SSE) to encrypt each message. Plus, because Amazon SQS scales elastically with your applications, it is a highly cost-effective messaging solution.
Amazon SQS is fully integrated with Amazon CloudWatch, allowing you to view and analyze your Amazon SQS queues metrics, which is where MetricFire comes into play.
With Metricfire, you can turbocharge your Amazon SQS 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 message queues are doing something they shouldn't.
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:
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 SQS 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 SQS and Amazon ELB and get Amazon SQS and Amazon ELB 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
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.
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.
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.
Technical support is provided by engineers for engineers, so you can expect detailed and relevant answers to your queries.
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