To integrate Amazon Firehose and Amazon ECS with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Firehose and Amazon ECS and how that can support your monitoring system.
With the ever-increasing popularity of streaming content, the need to enable users to collect, store, capture, and process large amounts of data from their distributed streams is crucial. By using Amazon Kinesis Data Firehose, you can capture massive amounts of live video data from millions of sources, and then make them available to consumers in a data-efficient and cost-effective format.
Amazon Kinesis Data Firehose lets you quickly load streaming data into data stores, data lakes, and analytics services. You can use it to capture, transform, and deliver streaming data to a range of Amazon services, including Amazon Redshift, Amazon S3, Amazon Elasticsearch Service. You can also use Kinesis to connect to generic HTTP endpoints and service providers such as New Relic, MongoDB, Datadog, and Splunk.
Firehose is a fully managed service that automatically scales to match your data throughput. You can also use it to compress, transform, and encrypt your data streams. This feature minimizes the amount of storage required for your streaming data and increases security.
Amazon Kinesis Data Firehose integrates with Amazon CloudWatch metrics so you can collect and analyze your data streaming metrics. For example, you could monitor the IncomingBytes and IncomingRecords metrics to track data ingested into Kinesis Data Firehose from your data producers. You can use Kinesis Analytics to analyze and process your data streams using standard SQL. It also comes with pre-built stream processing templates to help you manage your data analytics.
By integrating Amazon CloudWatch with the MetricFire platform, you can display your streaming 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 need, plus receive alerts via email or Slack when your data streaming is doing something it shouldn't.
Amazon Elastic Container Service (Amazon ECS) is a container management service that is fully managed, fast, and secure. It makes it easy for you to run, stop, and manage containers on a cluster. It should not be confused with Amazon EC2 that is used to manage the computing capacity and resources of the infrastructure used to store and run your containers. However, Amazon ECS and Amazon EC2 are often used together to manage your containers and the infrastructure they run on.
Containers are used for packaging application code, configurations, and dependencies into a single object, ensuring quick, reliable, and consistent deployments, regardless of your software environment. AWS provides a range of tools to help you register, manage, and run your application containers.
You can create task definitions that you use to run individual tasks or tasks within a service for each of your containers. AWS Fargate can run your tasks for you, or if you need more control, you can run your services or tasks on a cluster of Amazon EC2 instances.
Amazon ECS launches and stops your container-based applications by using simple API calls. You can also retrieve your cluster's state from a centralized service that gives you access to many Amazon EC2 features.
Monitoring your Amazon ECS resources is simple by using Amazon CloudWatch. The metrics you collect depend on the task launch type you use. If you use Fargate launch types for your services, then CPU and memory utilization metrics are provided to monitor your services. For the Amazon EC2 launch types, you need to monitor the EC2 instances yourself. This is where MetricFire can help you out.
With MetricFire, you can turbocharge your Amazon ECS 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 ECS service is doing something it shouldn't.
To integrate Amazon Firehose and Amazon ECS with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Firehose and Amazon ECS and get Amazon Firehose and Amazon ECS 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