Our production services run on a Linux machine using Docker Compose, keeping our infrastructure simple and manageable. Docker Compose allows us to easily define and manage multi-container applications, providing a straightforward way to orchestrate services, which helps reduce complexity in our infrastructure. Recently, we decided to switch to SigNoz to gain more flexibility and control over our observability stack. Following the SigNoz setup guide, we used logspout to collect and forward logs.

At Civo, we’ve always believed that the cloud industry should be fair, open, and accessible to companies of all sizes - not just the select few with deep pockets and large platforms. When the Open Cloud Coalition (OCC) was first proposed, we immediately saw it as an opportunity to cut through the noise and amplify the important voices of the cloud industry.

Managing resource scaling in EKS clusters can quickly become complex, especially with fluctuating workloads. Traditional autoscaling solutions often require predefined configurations, which can lead to inefficiencies and unnecessary costs. This is where Karpenter comes in—a powerful, open-source project designed to dynamically manage and scale nodes in response to real-time application demands.

As someone who is building a platform that is intended to make Kubernetes operations easier for everyone––I’ve learned a lot about production Kubernetes operations. The main thing I’ve noticed folks getting wrong, is that it isn’t simply a platform, it’s an entire ecosystem.

Custom resources are critical components in Kubernetes production environments. They enable users to tailor Kubernetes resources to their specific applications or infrastructure needs, automate processes through operators, simplify the management of complex applications, and integrate with non-native applications such as Kafka and Elasticsearch.

While overprovisioning Kubernetes workloads can provide stability during the launch of new products, it’s often only sustainable because large companies have substantial budgets and favorable deals with cloud providers. As highlighted in Datadog’s State of Cloud Costs report, cloud spending continues to grow, but a significant portion of that cost is often due to inefficiencies like overprovisioning.

Kubernetes offers the ability to scale infrastructure to accommodate fluctuating demand, enabling organizations to maintain availability and high performance during surges in traffic and reduce costs during lulls. But scaling comes with tradeoffs and must be done carefully to ensure teams are not over-provisioning their workloads or clusters. For example, organizations often struggle with overprovisioning in Kubernetes and wind up paying for resources that go unused.

Startups relying on Heroku often hit roadblocks as they scale. Rising costs, technical limitations, and lack of control over infrastructure force many to explore alternatives. One such startup recently migrated 37 applications from Heroku to AWS using Qovery’s DevOps AI Migration Agent. Here’s how they accomplished this migration in less than two hours, saving days of manual work.