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Containers

Navigating the Skies of Entrepreneurship: How Building a Software Startup Mirrors Flying a Small Plane

Exploring the parallels between piloting a small plane and building a software startup, emphasizing preparation, adaptability, teamwork, and data-driven decision-making for success.

Laravel Docker containers for development and production

In recent years, both Docker and Laravel have exploded in popularity. In this step-by-step tutorial, we will dive into how to dockerize an existing Laravel app to run it locally. Then, we'll make it ready to run in a production environment, like for a web server. We will also deploy it to Google Cloud Run without getting into Kubernetes or any YAML configs, taking advantage of our Laravel Docker container. Let’s dig in!

What does OOMKilled mean and how do I prevent it?

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

How to Load Test Kubernetes

Performance tests, end-to-end tests, integration tests. There are many different types of tests you can run on your infrastructure. One of the most overlooked kinds is load testing. Failure to include load tests in your supply chain can be detrimental, as you will be missing out on a number of benefits. Some of the big advantages of load testing Kubernetes are.

A Guide to Optimizing Kubernetes Clusters with Karpenter

With the promise of auto-provisioning and self-healing, Kubernetes environments can be an attractive option for hosting your application platform. However, with increasing budget restrictions, the competitive cloud providers and offerings, and the need to do more with less, engineers are looking to get a handle on their resource utilization.

How We Built It: Managing Konnect Entities from K8s Clusters with KGO

We recently released Kong Gateway Operator 1.4 with support for managing Konnect entities from within the Kubernetes clusters. This means users can now manage their Konnect configurations declaratively, through Kubernetes resources powered by Kong’s Custom Resource Definitions. For example, here’s how you can use a KongConsumer resource in Kubernetes to configure a Consumer in Konnect.

How To Test Traffic With A Custom Kubernetes Controller

In k8s world every resource created via controller. Like there are inbuilt controllers for pods, deployments , replica set etc. So basically, Controllers are nothing but a control loop that continuously monitor the state of the cluster and take actions to bring the cluster into the desired state. The resources have a spec that provides the desired state. The controller checks the current states.

On-Call Oasis: Creating a Peaceful Experience, Especially During the Holidays

Kong Konnect is Kong’s infrastructural SaaS solution. We run the control planes and API management applications for the data planes (API gateway and mesh) that are run by our customers to power their APIs. Some of the most critical traffic in the world goes through these data planes. The criticality of Konnect and therefore our customer’s uptime expectations of Konnect are very high.

Kubernetes vs Docker: 7 Key Differences

It’s impossible to learn about containerization without hearing about Docker and Kubernetes. These two tools together dominate the world of containers, both being the de facto standard in what they each do. When you’re first getting started learning about containers, it can be quite a challenge to figure out the differences between these two tools.

Testing Kubernetes Ingress with Production Traffic

Kubernetes is an incredibly powerful solution, but testing the Kubernetes Ingress resources themselves can prove to be quite tricky. This can lead to significant frustration for developers – bugs can pop up in production that weren’t caught during testing, workflows that make sense on paper might fail in practice, and so forth.