To integrate Amazon Streams and Amazon cloudfront with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Streams and Amazon cloudfront and how that can support your monitoring system.
Amazon Kinesis Data Streams (KDS) is a data streaming service that is both scalable and durable and operates in real-time. It can capture gigabytes of data-per-second from hundreds of thousands of sources, including websites, databases, social media feeds, IT logs, financial transactions, and location-tracking events. Real-time analytics tools such as dashboards, anomaly detection, and dynamic pricing are updated in milliseconds.
KDS is based around a producer/consumer model. A producer loads data records into Amazon KDS. A consumer then processes the data records from the stream. For example, a producer could load web server log data to a Kinesis data stream, where a consumer can process and analyze the log data.
You can use Kinesis Data Streams to collect log and event data from servers, desktops, and mobile devices. You can then build Kinesis Applications to process your data continuously, generate metrics, populate dashboards, and aggregate data into stores such as Amazon S3.
You can create Kinesis Applications that run real-time analytics on high-frequency event data events. For example, you could write an application to analyze sensor data collected by Kinesis Data Streams to gain insights into your sensor data.
If you collect gaming data, Kinesis Data Streams can collect data about player-game interactions and feed the data back into your gaming platform. This strategy can help you design a game that provides engaging and dynamic experiences based on players' past actions and behaviors.
With Metricfire, you can turbocharge your data stream monitoring services. By integrating Amazon CloudWatch with the Metricfire platform, you can display your KDS 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 data streams are doing something they shouldn't.
Amazon CloudFront is a fast content delivery network (CDN) service used to speed up web content distribution and is delivered through a global network of data centers called edge locations. These locations are proxy servers that cache content so that when a user requests to view some content, the request is routed to the quickest edge location to help you deliver your content with the best possible performance.
By routing each user request through the AWS backbone network, CloudFront speeds up distributing your content by sourcing it from the edge location best suited to serve your content. With edge servers located across six continents, there is always an edge location ready to deliver your customers fast content.
By taking advantage of the AWS network, Amazon CloudFront dramatically reduces the number of networks that your user requests pass through, improving performance and achieving higher data transfer rates. Amazon CloudFront can help you speed up static website content delivery, encrypt specific fields at add field-level security, provide live streaming video or serve video on demand.
For example, if you produce your content in Europe but want to deliver fast content to South American users, you can use Amazon CloudFront to cache your content on the nearest edge location for South American clients. When a user from, say Brazil, accesses your content, they are directed to the South American edge server.
Amazon CloudFront is fully integrated with Amazon CloudWatch, and automatically publishes six operational metrics per distribution, which is where MetricFire comes into play.
With Metricfire, you can turbocharge your Amazon CloudWatch 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 a distribution issue is detected.
To integrate Amazon Streams and Amazon cloudfront with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Streams and Amazon cloudfront and get Amazon Streams and Amazon cloudfront 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