To integrate Amazon Redshift and Amazon ECS with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Redshift and Amazon ECS and how that can support your monitoring system.
Amazon Redshift is a Data Warehouse product provided by AWS. Every interaction you have with your clients generates countless data points. With the right tools, you can harness the power of that data to optimize the customer experience.
Amazon Redshift makes setting up your data center simple. No need to invest resources in costly hardware that requires storage space. Your Amazon Redshift data center exists in the cloud - and every step is managed for you from start to finish.
You can rely on Amazon Redshift for the setup, operation, and scaling of your data warehouse. That includes specialized tasks such as provisioning capacity, monitoring, backup, software patches, and upgrading. Whether you have a few hundred gigabytes of data or more than a petabyte, Amazon Redshift is a seamless, secure solution for your data center needs.
Why Do Performance Monitoring with Amazon Redshift?
Plenty of cloud-based data services can meet basic needs, but Amazon Redshift offers something more. Users remain loyal, because Amazon Redshift can be trusted to keep data secure. Better still, it is fast and easy to use.
Amazon Redshift clients enjoy a variety of exclusive features related to cluster access and security. Application developers trust the platform because encrypted data and connections are guaranteed.
Simply create a data warehouse by launching a set of nodes, which are referred to as an Amazon Redshift cluster. Provision your cluster, then upload your data set and perform necessary data analysis queries and monitoring.
The size of the data set does not matter: Amazon Redshift is best known for its fast query performance. App developers who are familiar with SQL-based tools and business intelligence applications find it simple and efficient.
You can track the performance and overall health of your databases using the Amazon CloudWatch metrics. These are particularly helpful in monitoring CPU utilization, latency, and throughput.
MetricFire integrates seamlessly with Amazon Redshift, so you can monitor performance accurately. Sign up for the MetricFire free trial to set up your Amazon Redshift, or book a demo to learn more about the features from the MetricFire team.
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.
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 Hosted Graphite and Dashboards-as-a-Service to visualise your metrics on aesthetic dashboards.
MetricFire offers its users a complete ecosystem of end-to-end infrastructure monitoring, which is made up of popular open-source monitoring software services: 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, but we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire works to boost 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:
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.
Easily share your dashboards with clients for free.
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.
Dedicated clusters for users that need their own environment.
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