Operations | Monitoring | ITSM | DevOps | Cloud

Bus Factor is a measure of risk to a project or organization due to the loss of key personnel. For software engineering teams, a low bus factor (meaning only a few people hold critical knowledge or skills) can lead to complications that result in product failures.

Over the last few weeks I've been talking about the key differences between Amazon EKS and Cycle. If you happened to miss it and want to catch up before diving into this post you can check it out here: This post will round out the series by taking a look at how worker nodes are added to a cluster and the major differences between EKS and Cycle there.

In today's competitive and uncertain tech landscape, engineering organizations are constantly seeking ways to optimize costs without compromising on performance. Efficient resource management and cost reduction have become crucial for businesses aiming to stay alive and ahead. At Cycle, our goal is to offer a robust solution that enhances efficiency while delivering significant cost savings to our users.

Last week I talked in depth about control planes and the differences between EKS and Cycle. In this weeks blog we'll dive into what it takes to spin up a cluster and get things rolling.

Looking for Kubernetes alternatives? You've come to the right place. In this article I'm diving into Amazon EKS vs Cycle and learning more about the differences in the control plane. Not what you're looking for? Here are 3 more Kubernetes alternatives articles from our blog.

Creating a platform? You're in the right spot. Our mission at Cycle started with a clear purpose: to create the best platform for building platforms. Here's the thing, there's really no easy way to build a platform. It requires making a lot of tough technology decisions that can affect success, growth, and upkeep for years to come. There are however some ways to make things simpler. Here are the three technology decisions I've seen make the biggest impact and how to navigate them.

In the world of DevOps, engineering organizations are constantly seeking solutions that can simplify operations, reduce overhead, and accelerate development. While a number of container orchestration platforms exist, their complexity and high maintenance demands often leave engineering leaders seeking alternatives. This is where Cycle comes in. Cycle’s LowOps container orchestration and infrastructure management platform is designed to get your team to 80% efficiency from day one.

In recent years, Kubernetes has emerged as the go-to solution for container orchestration, offering flexibility and scalability for deploying and managing applications. However, organizations quickly realize that the allure of its open-source nature can be deceiving—while free to download, the costs of managing Kubernetes can stack up rapidly. Initially embraced for its agility, Kubernetes soon reveals its complexity.

Whether you're building the next massive AI platform, encoding thousands of images, or a hundreds of other use cases, the ability to quickly create ephemeral tasks can be a game changer for engineers solving complex tasks.

No, I'm not talking about 'OpenAI', though you certainly can use it to assist in your API designs. I'm talking about the OpenAPI standard, a modern spec for defining REST APIs. If you're reading this, I probably don't need to tell you that REST APIs are ubiquitous in tech. Practically every company has at least one, whether it be an internal or customer facing API. While other types of APIs have been gaining traction the last few years (GraphQL, gRPC, etc), REST is here to stay.