Kubernetes is a complex platform that provides for highly scalable, efficient use of containers. Operating enterprise Kubernetes deployment is difficult. it can also be highly problematic for companies that just try to “wing it” and figure out what to do as they go along. Don’t let that be you. Here are some best practices to […]
· June 1, 2020 · 4 min read
High Availability (HA) and uptime may be similar concepts, but they’re not the same. Availability refers to how accessible your server is or how many people can connect to it; while uptime is about whether your server is even reachable. What this means is that if even a single connection to your server is possible,
· May 31, 2020 · 5 min read
When it comes to Kubernetes clusters, size matters. The number of nodes in your cluster plays an important role in determining the overall availability and performance of your workloads. So does the number of namespaces, in a way. This does not mean, however, that bigger is always better. A Kubernetes cluster sizing strategy that aims
· May 28, 2020 · 8 min read
Just as there are many parts that comprise Kubernetes, there are multiple ways to go about Kubernetes deployment. The best approach for your needs depends on your team’s technical expertise, your infrastructure availability (or lack thereof), your capital expenditure and ROI goals, and more. There are multiple ways to scale a Kubernetes environment to meet
· May 27, 2020 · 6 min read
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,
· May 21, 2020 · 5 min read
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
· May 21, 2020 · 4 min read
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
· May 15, 2020 · 5 min read
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
· May 13, 2020 · 5 min read
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
· May 8, 2020 · 7 min read
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
· May 5, 2020 · 5 min read
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
· April 23, 2020 · 5 min read
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
· April 19, 2020 · 10 min read