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Harnessing Public Cloud model for Private and Edge Clouds

There is a chasm between the public cloud operating model and how enterprises roll out their private cloud programs. Let’s review three crucial differences: Foundational cloud principle Public Cloud Approach Private Cloud Approach Closed-loop automated operations Public cloud vendors don’t roll out regions or services by hand. They invest heavily in internal IP to provision, […]

How Containers at the Edge Can Accelerate the 5G Rollout

Containers and cellular networking are not usually part of the same conversation. Although both are important technologies, the use of containers in the cellular and telco space has been fleeting, so far. But that could change thanks to the challenges posed by the rise of 5G networks. In several respects, containers are the perfect solution

Fight Latency at the Edge with Kubernetes-Based Infrastructure – Part II

In the first part of this post, we looked at how Kubernetes addresses the need to mix and match hybrid infrastructures like cloud, edge, and on-premise, as well as how Kubernetes fights latency in edge environments with the help of agility, scalability, and HA features. In this post, we’re going to take a closer look

The Three Deployment Strategies for Modern Private Cloud

When private clouds first emerged more than a decade ago, there was essentially just one deployment model: a DIY deployment approach where companies set up private cloud services themselves on their own infrastructure. Today, the evolution of the private cloud ecosystem offers a much richer set of deployment options. They range from the DIY approach

Production considerations for Multi-Master Kubernetes

Kubernetes has been around for five years and, at this point, has become a stable platform that is commonly used throughout development and production environments to run applications. In the time it has been a project, the base project has become more capable. It makes it easier to build and deploy a reliable cluster on

Fight Latency at the Edge with Kubernetes-Based Infrastructure – Part I

It’s easy to think that newer technology will magically succeed where older technologies have failed. The ground-reality, however, is something quite different. You usually end up with a hybrid mix of a few different technologies that don’t always work well together. It lives up to the modern definition of a hybrid environment: you already have

Essential Features of a Kubernetes Edge Computing Platform

Kubernetes seems to be a winner – one single platform that happens to be ideally suited for both cloud and edge computing. What are the chances? While cloud-native computing is all about flexibility, scalability, on-demand resources and the like, the edge acts as a conduit between the cloud and the ever-expanding army of IoT devices

Top Considerations for Migrating Kubernetes Across Platforms

Kubernetes provides a lot of freedom in terms of workload deployment across development, test, and production environments. It also gives you the flexibility to deploy across data centers, cloud providers (public and private), or colocation services without changing your software. If you’re already running on Kubernetes, you may later decide you need better support or

Kubernetes Logging Best Practices

Overview In this blog post you’ll learn: Decide Whether to Sidecar or Not to Sidecar Pick Your Log Analysis Tool – EFK or Dedicated Logging Control Access to Logs with RBAC Keep Log Formats Consistent Set Resource Limits on Log Collection Daemons Kubernetes helps manage the lifecycle of hundreds of containers deployed in pods. It

Kubernetes Networking Challenges at Scale

Kubernetes networking can be noisy, tedious, and complex. This article discusses some of the challenges involved with managing and troubleshooting Kubernetes networking for large-scale production deployments. In fact, in a recent survey, 42% of Kubernetes users list networking as their largest Kubernetes challenge. This number often goes up as deployment size increases. Additionally, according to

Managing Kubernetes Resource Limits: Kubernetes Capacity Planning

Capacity planning is a critical step in successfully building and deploying a stable and cost-effective infrastructure. The need for proper resource planning is amplified within a Kubernetes cluster, as it does hard checks and will kill and move workloads around without hesitation and based on nothing but current resource usage. This article will highlight areas

7 Simple Kubernetes Performance Optimization Tips

Kubernetes is a complex tool. As is the case with most complex tools, getting optimal performance out of Kubernetes can be tricky. Most Kubernetes distributions don’t come fine-tuned to maximize performance (and even if they did, it’s likely that they would not be tweaked in a way that is optimal for your environment). With that

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