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To integrate GitHub and OpsGenie with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating GitHub and OpsGenie and how that can support your monitoring system.
GitHub is a service for hosting code and doing version control for code. The foundations of GitHub is "Git" - which is an open source version control system.
Git allows multiple coders to contribute to one project, while remembering which is the most up-to-date version. Git also remembers who contributed and what they contributed to the project. All modifications and revisions are stored in a central repository, and contributions are made through a pull request.
Pull requests can be made by anybody, but they must be approved by the repository admin. In some projects, pull requests can be contributed without approval. However, most projects have some quality assurance processes.
When doing application performance monitoring for a project built in GitHub, you’ll want to export data about your GitHub setup into your regular monitoring dashboards. You want to monitor when changes happen, and the effect they have on your system.
For example, if you make a change to your code, and suddenly the latency of requests to your server increases - you’ll want to know exactly which pull request caused that change. If you didn’t know that there were any changes in your code, then you wouldn’t be able to correlate the change in your code with the changes in how your system is behaving. This will slow down your debugging process.
With MetricFire, you can get all of your monitoring dashboards automatically annotated with the changes you’ve made to your code in GitHub. If there are any changes in behavior, a small note will be present in the graph to tell you what’s happening in your environment.
This enables you to automatically monitor the correlation between GitHub changes and how your system is functioning.
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 GitHub and OpsGenie with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate GitHub and OpsGenie and get GitHub 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
