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To integrate Amazon Firehose and OpsGenie with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Firehose and OpsGenie 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.
OpsGenie is an incident management system that helps teams engage the right people to manage and resolve an incident in the shortest possible time.
OpsGenie is designed to streamline those crucial incident monitoring processes by alerting the right people on your team to take action and address an issue as soon as possible through its on-call management and escalation features. It comes with highly customizable features and sophisticated tools, all designed to work with different DevOps workflows.
Unlike regular incident monitoring platforms, OpsGenie intuitively forecasts potential issues based on aggregated metrics. This tool also automatically determines the people or teams best equipped to resolve the issues detected through proper action mapping.
You can optimize your team's collaboration and communication channels by integrating OpsGenie with over 200 ticketing, monitoring, and chat tools, including Slack, Jira, and Amazon CloudWatch. Plus, common and repetitive actions can be quickly executed by using OpsGenie actions. For example, in response to an alert, OpsGenie can start an Amazon EC2 instance.
Being a service-aware incident management platform, OpsGenie also proactively alerts stakeholders about any service disruptions or outages. With its ability to identify, manage and categorize critical incidents promptly, OpsGenie is a favorite incident management system for businesses with always-on services. OpsGenie tracks everything related to alerts and incidents, allowing you to monitor your team's performance in acknowledging and resolving incidents.
Integrating your OpsGenie platform with your MetricFire platform is a great way to ensure that any incidents identified by MetricFire are actioned by the right person in your DevOps team as soon as possible.
All you do is create an OpsGenie channel in your MetricFire alerts panel. Then, as MetricFire aggregates and monitors metrics from all your computer systems, you'll feel confident that any incidents will be quickly addressed and fixed by the right people in your DevOps team.
To integrate Amazon Firehose and OpsGenie with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Firehose and OpsGenie and get Amazon Firehose and OpsGenie 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
