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Testimonials
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
I was impressed with the amount of professionalism, communication, and speed of delivery.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
They are very knowledgeable in their area of expertise.
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
They have been great at adjusting and improving as we have worked together.
Nguyen is a champ. He's fast and has great communication. Well done!
We were impressed with their commitment to the project.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
Keda, short for Kubernetes-based Event-Driven Autoscaling, is an open-source project that provides event-driven autoscaling for your Kubernetes workloads.
It stands out in the cloud computing and DevOps realms due to its ability to scale applications in response to real-time events rather than just static metrics. This innovative technology allows Kubernetes clusters to efficiently manage resources, scaling workloads up or down based on actual demand, which can significantly optimize costs and performance.
Keda integrates seamlessly with a variety of event sources, including message queues, database changes, or even custom metrics, making it highly versatile and adaptable for different use cases. Its importance in modern cloud-native environments cannot be overstated, as it empowers developers and organizations to build more responsive, efficient, and cost-effective applications in Kubernetes.
This feature-rich autoscaler is a game-changer in the world of container orchestration, driving the evolution of cloud infrastructure towards more dynamic and intelligent resource management.
Orchestration systems decide where and when workloads run on a cluster of machines (physical or virtual). On top of that, orchestration systems usually help manage the lifecycle of the workloads running on them. Nowadays, these systems are usually used to orchestrate containers, with the most popular one being Kubernetes.
There are many advantages to using Orchestration tools:
- Improve the utilization of CPU, memory, and storage usage by running many processes on a single machine
- Manage the entire lifecycle of the orchestrated workloads: pre & post initialization & termination
- Control the scale of workloads and the scale of their underlying infrastructure separately
- Centralized management of workloads and infrastructure
- KEDA enables event-driven autoscaling for Kubernetes workloads
- Dynamically scales applications based on actual demand using external metrics
- Supports a wide range of event sources and metrics providers
- Allows for precise scaling, including scaling to zero when there's no demand
- Integrates seamlessly with Kubernetes, enhancing existing workloads without major changes
- Offers custom scaling logic through ScaledObjects for flexible configuration
- Facilitates cost-efficient cluster management by optimizing resource usage
- Enhances application responsiveness and efficiency through automatic scaling adjustments
- Streamlines deployment and management of event-driven, scalable applications
- Promotes a developer-friendly approach to managing application scalability
