To integrate Amazon CloudWatch and collectd with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon CloudWatch and collectd and how that can support your monitoring system.
Amazon CloudWatch is a management and monitoring service designed for AWS and other infrastructure resources or on-premises applications. It is the official metrics monitoring tool for Amazon Web Services. Using CloudWatch, you can access all your performance and operational metrics in a single platform, helping you overcome the challenge of monitoring multiple systems. CloudWatch helps you monitor your entire stack — including applications, infrastructure, and services — thus freeing up valuable resources to allow you to focus on building applications.
You can use CloudWatch Container Insights to monitor and troubleshoot your applications and microservices. CloudWatch collects, aggregates, and summarizes computer utilization information; like CPU and memory usage, network data history, and also monitoring diagnostic information. Container Insights provides you with details about container management services, such as: Amazon ECS for Kubernetes (EKS), Amazon's Elastic Container Service (ECS), etc.
The brilliant thing about Amazon Cloudwatch is that it is your gatekeeper to data and metrics for all your Amazon applications and services. However, monitoring more than the standard set of metrics can become very expensive with CloudWatch. CloudWatch custom metrics are very expensive and they should be used sparingly. For example, if a company is monitoring their AWS systems with the standard CloudWatch dashboards, it might cost around 1000 USD a month. However, if you’re monitoring hundreds of thousands of metrics related to a new launch, AWS CloudWatch could quickly rack up to 50,000 USD a month.
That's why it's such a vital integration point for MetricFire. MetricFire treats all metrics the same, so if you’re monitoring thousands of specialized metrics, you’ll still pay the same basic rate for those metrics. CloudWatch can be integrated with MetricFire, so you can pull your AWS metrics into the MetricFire platform. Then, you can get low-cost metrics scaling, while still being able to monitor your AWS metrics all in a single pane of glass. 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 to keep, plus receive alerts via email or Slack.
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 CloudWatch and collectd with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon CloudWatch and collectd and get Amazon CloudWatch and collectd 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:
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
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