Containers

The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Deploy Your Python Apps To Production In Seconds!

Getting your Python code into production is the most rewarding thing you can do. It's where users meet your apps, and where you finally get recognition for the time, energy, and skill that you've poured into your code. But without the right platform, getting Python into production can be a real pain in the proverbial. Let Ben Wilcock (@benbravo73) show you how to do it in seconds using open-source tools.

Build Docker Containers For Python Apps The Easy Way With This Simple Tech

Python apps go great with containers. Docker, Kubernetes, Cloudfoundry, Public Cloud, Private Cloud, they're all awesome places to run your containers. But getting your apps into containers is a tricky business, particularly if you have tens or hundreds of apps to manage, and maintain. Your containers have to be secure, reproducible, and easy to rebuild when vulnerabilities strike or upgrades are required.

How Calico Enterprise Enables Your Kubernetes Multi-Tenancy

In this talk, we will explore Kubernetes multi tenancy concepts and design patterns. Specifically, we will go over the network and network security design patterns needed for enabling multi tenancy within your k8s clusters using key capabilities of Calico Enterprise. Explore multi-tenancy use-cases in Kubernetes Learn about the core concepts and design patterns behind multi tenancy in Kubernetes Understand the key capabilities of Calico and Calico Enterprise that enable multi tenancy
logz.io

Jaeger Essentials: Best Practices for Deploying Jaeger on Kubernetes in Production

Logs, metrics and traces are the three pillars of the Observability world. The distributed tracing world, in particular, has seen a lot of innovation in recent months, with OpenTelemetry standardization and with Jaeger open source project graduating from the CNCF incubation. According to the recent DevOps Pulse report, Jaeger is used by over 30% of those practicing distributed tracing.

Deploying Multiple Kubernetes Clusters on Multi-Cloud Infrastructure

How-to deploy multiple Kubernetes clusters on multi-cloud infrastructure. Most organizations need a way to deploy K8s to multiple infrastructure providers; on-premise and the cloud, multiple cloud providers, edge location and the cloud, or some combination in between (hybrid cloud). This tutorial covers the deployment of Kubernetes on AWS and Azure from a single centralized control plane. Enterprise grade Kubernetes platform for hybrid cloud.

Kubernetes Deployment on Azure

How-to deploy a kubernetes cluster on Azure. There are several ways to deploy kubernetes on Azure, including Microsoft’s own AKS. This tutorial covers the deployment of kubernetes on Azure using a single command. Fully automated and ready for production applications you will have upstream kubernetes with best of breed open source components needed for Day 2 operations, such as Prometheus, Grafana, and more. Declarative kubernetes, no extra steps, no custom automation.

Upgrading Kubernetes - Advanced Controls

How-to upgrade a kubernetes cluster. There are several ways to upgrade a kubernetes cluster and the upgrade strategy may depend on the type of cluster you are trying to upgrade. This tutorial covers advanced control of a kubernetes cluster upgrade often required for upgrading large shared clusters. This includes upgrading the cluster by node pools or selecting how many concurrent nodes should be done in parallel.

Upgrading Kubernetes - Basic Rolling Upgrade

How-to upgrade a Kubernetes cluster. There are several ways to upgrade a K8s cluster and the upgrade strategy may depend on the type of cluster you are trying to upgrade. This tutorial covers a basic rolling upgrade of a Kubernetes cluster. The upgrade is fully automated and workloads will be migrated during the upgrade process for non-disruption.
grafana

Loki tutorial: How to send logs from Amazon's ECS to Loki

Elastic Container Service (ECS) is the fully managed container orchestration service by Amazon. Combined with Fargate, Amazon’s serverless compute engine for containers, you can run your container workload without the need to provision your own compute resources. But how can you consolidate and query all of your logs and metadata for these workloads? Enter Loki, the log aggregation system from Grafana Labs that has proven to increase performance and decrease costs.