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Key Summary
ShuttleCloud, an API migration and integration platform with a small team of ~15 employees, adopted the open-source Prometheus monitoring toolkit to enhance its operations. Key points include:
- Adoption of Prometheus:
- ShuttleCloud planned to test multiple monitoring solutions but stuck with Prometheus after its successful implementation due to its effectiveness.
- Used to track internal and external metrics, supporting major clients like Gmail for importing contacts from 247 email providers.
- Prometheus Features:
- Time Series Database: Flexible with editable labels, allowing metrics to be added or modified without predefined structures.
- Self-Contained: Unlike competitors like Sensu (which requires RabbitMQ), Prometheus operates without external messaging services.
- Real-Time Visualization: Integrates seamlessly with Grafana for data visualization, using PromQL for consistent query language across both tools.
- Kubernetes Migration:
- ShuttleCloud is transitioning to a Kubernetes-based 12-factor infrastructure to optimize resource usage.
- Kubernetes groups service instances on single nodes, reducing costs compared to one-instance-per-service setups.
- Cost and Time Efficiency:
- Prometheus requires minimal budget, making it accessible for small teams.
- Streamlines monitoring and resource management, saving time and money.
- InApps Insight: ShuttleCloud’s use of Prometheus and Kubernetes demonstrates how small teams can leverage open-source tools to achieve scalable, cost-effective monitoring and infrastructure management, supporting high-profile clients efficiently.
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For API migration and integration platform ShuttleCloud, there was never a ‘switch’ to the open source Prometheus monitoring and alerting toolkit. Having a small team roughly 15 employees, the company originally planned on cycling through monitoring solutions until finding one that clicked. Once it got Prometheus up and running, it never got around to trying another monitoring solution.
On today’s episode of InApps Technology Makers podcast, TNS founder Alex Williams spoke with ShuttleCloud software developer Ignacio Pérez Carretero, during KubeCon 2016, to hear more about ShuttleCloud’s experience working with the Prometheus open source in production and their decision to migrate their stack over to Kubernetes.
How ShuttleCloud Saves Time and Money by Monitoring with Prometheus
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In getting started with Prometheus, ShuttleCloud’s first aim was to better track both internal and external metrics. Though ShuttleCloud’s employee count may be small, its clients are anything but. Carretero noted that ShuttleCloud is the tool behind Gmail’s ability to import addresses from 247 other email accounts.
“First, [Prometheus] a time series database that you can edit, and it’s very flexible. It has labels, and you don’t have to decide from the very beginning the metrics you want to have, you can add them afterwards or edit them,” said Carretero. Secondly, Prometheus does not require a messaging external service, unlike competitor Sensu, which relies on RabbitMQ.
Visualizing data in real-time is simple with the pairing of Grafana and Prometheus. “It’s pretty straightforward to put Grafana on top of Prometheus. It takes minutes to connect them. The language used to create the charts in Grafana is PromQL, which is the same as in Prometheus,” Carretero noted.
While still in the beginning stages of making the shift toward a Kuberenetes-based 12-factor infrastructure, ShuttleCloud aims to streamline how its service utilize system resources. This is an effort to save both money and time, making use of not only Prometheus but leveraging the Kubernetes container orchestration engine to group its running instances on one node, rather than having a single instance per service.
“You don’t have to have a lot of money, or a great budget to implement Prometheus,” Carretero noted.
December 12, 2016 // New York City @ Conrad New York
December 12, 2016 // New York City @ Conrad New York
Let’s have some pancakes at Tectonic Summit! Come have a short stack with InApps Technology as we discuss how enterprises are scaling containers across their organizations. What are the use cases that are emerging as companies adopt practices for application management?
Cisco sponsored this podcast.
Source: InApps.net
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