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To integrate Amazon Firehose and Amazon Kinesis with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Firehose and Amazon Kinesis 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 Kinesis is the company’s real-time streaming data analysis platform. It provides powerful insights on video, data, audio, and other streams.
This data platform is a foundational component of data processing for machine learning, artificial intelligence, IoT telemetry, and more. With Amazon Kinesis, you have access to fully managed infrastructure to process all your streaming needs with low latency and little downtime.
It also easily connects to third-party databases and tools, like MetricFire, SQL, and Amazon Web Services (AWS) data stores.
No matter how much data you’re inputting, Amazon Kinesis easily queries and analyzes it to create flawless video, deep reporting, and even automation through Amazon S3 buckets, Redshift, Splunk, and other AWS services.
All data streams are securely encrypted and create a lot of use-cases. These proactive cognitive solutions create innovative new ways to interact with your data stores.
But why do you need it?
Amazon Kinesis gives businesses real-time access to all the necessary data for their businesses. It's an intuitive interface with visual access to all required information.
Leveraging real-time application monitoring is useful for fraud detection, tracking leaderboards, and quickly identifying issues.
Netflix uses Amazon Kinesis to keep its video streams healthy while also monitoring social media. The use cases are endless.
MetricFire easily connects to many different data sources, including Amazon Kinesis. 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 block store is doing something it shouldn't. First, you’ll need to download the Amazon AWS CloudWatch add-on from Hosted Graphite and connect your accounts.
From there, we have a comprehensive guide on how to link your accounts and set them up to automatically exchange data between both platforms.
To integrate Amazon Firehose and Amazon Kinesis 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 Kinesis and get Amazon Firehose and Amazon Kinesis 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:
“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.”
“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”
“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.”
"Every time I have a question, I get an answer from support after just a couple of hours. Their technical knowledge is excellent.”
In this article, we’ll discuss what can go wrong with our machine-learning model after... Continue Reading
