Category: DevOps

Running Kubernetes — Selecting Tools & Supporting Clusters

Posted by on July 08, 2020


For many, the concept of Kubernetes is dense enough without even beginning to dive into the topic of clusters, or the various tools that can accompany this open-source system.

That being the case, we’ve taken the time to simplify the topic of selecting the best Kubernetes tools with a special emphasis on supporting clusters, so you can create the most ideal solution for your organization without giving yourself a headache in the process.


What Is Kubernetes?


Kubernetes is essentially a container platform that automates many of the processes associated with actions like application deployment and management. One of the huge advantages of Kubernetes is its ability to run a cluster—this is a set of nodes (or computers) completing objectives directed by the control plane. The nodes in a cluster do not need to be physically connected, and the possibilities for a Kubernetes cluster are virtually endless, but it can feel daunting to try and select the right tools for this highly advanced technology.

We’ve outlined some of the most useful processes to streamline the task of selecting Kubernetes tools so you can be certain to wind up with solutions that align with your organization’s needs.


Considerations for Cluster Administration


Before you can choose the right tools for your Kubernetes clusters, you need to ask yourself a series of questions. For example, are you hoping to build a multi-node cluster, or are you intending to test out Kubernetes on a single machine first?

Another important question is whether you plan to host your own cluster, or if you intend to utilize a host service; some hosted Kubernetes platforms worth researching including Google Kubernetes Engine, Azure Kubernetes Service, Amazon Elastic Container Service, and IBM’s Cloud container.

There are a number of other considerations that must be mulled over before even planning a cluster, so it’s important to hammer out the details of how you want to handle administration prior to setting up a cluster.


 Types of Kubernetes Tools for Supporting Clusters


In addition to hosting platforms mentioned above, there are a number of types of tools you can consider for enhancing the benefits you enjoy from Kubernetes. These types of tools include:

●      Monitoring tools — These give you insight into resource usage, providing data about every container in a server so you can maximize the efficiency of your clusters.

●      Security tools — Kubernetes containers have many layers that need to be protected in order for clusters to be truly secure; this means that specialized security tools are an important investment, particularly if there is sensitive data on nodes.

●      Deployment tools — Whether you want to utilize continuous deployment or you simply want an efficient way to manage applications in your clusters, there is a Kubernetes deployment tool that will give you the power to achieve your goals.

●      CLI tools — If you will be switching between clusters often or want to avoid excessively complicated commands, a CLI tool can streamline your Kubernetes experience and provide a more efficient workflow.

●      Serverless tools — These tools give you the ability to trigger responses to specific events so that you can auto-scale, troubleshoot, and more with very little manual intervention. The result is a highly efficient system that doesn’t get bottlenecked at critical moments.

While each of these types of Kubernetes tools might not be necessary for your specific applications, there’s also a chance that you’ll want to utilize all of them in order to ensure that you’re maximizing the true potential of your clusters.

Kubernetes clusters allow you to automate and streamline processes that may have previously felt impossibly cumbersome; it might not be easy to select the right tools for supporting your Kubernetes cluster, but if you take a methodical approach to the subject, you’ll find that you can arrive at the best solutions for your needs. For assistance navigating any of the complicated topics related to Kubernetes, reach out to Rivet Logic.

Streamlining the Pipeline: How Continuous Delivery Can Enhance DevOps

Posted by on June 30, 2020

It’s become a given in the industry that DevOps simplifies coordination between developers and IT departments and enhances the overall workflow of any tech-centric organization, but there’s another complementary methodology that can make those efforts even more effective: continuous delivery.

What exactly is continuous delivery, though, and how does it work in conjunction with DevOps? We’ll dive into the basics and the benefits so you can see how continuous delivery might benefit your operations, and better understand why this practice is such a popular one.

What Is Continuous Delivery?

In the simplest of terms, continuous delivery is a software development practice in which any changes to code made in the DevOps pipeline are automatically prepared for release. Once code changes have been made, they can automatically be filtered to a testing or production environment for expedited implementation. Once in those environments, code will undergo a set of standardized testing automatically, so it is fully prepared for release to customers.

There are a few tangentially related processes that you might confuse with continuous delivery, such as continuous integration and continuous deployment. Continuous integration is the practice of merging code changes into one central location; continuous deployment is similar to continuous delivery aside from the fact that continuous delivery requires manual confirmation before a change is sent to production, and continuous deployment does not.

How Does Continuous Delivery Relate to DevOps?

The easiest way to envision the relationship between continuous delivery and DevOps is to think of the two as parts of one cohesive factory, working together on an assembly line to produce a single perfect product. DevOps is essentially a machine that builds systems, and continuous delivery is a conveyor belt that ensures that those systems arrive at production expediently, safely, and precisely as intended.

For example, if a team of developers creates a system update that fixes a specific bug, continuous delivery can send that patch to testing or production immediately when it’s completed rather than waiting for manual approval. Without continuous delivery, the code might simply wait after being completed for an unknown amount of time before finally being sent to the next phase of the process.

Continuous delivery does not influence the DevOps process itself materially, but it ensures that the hard work which has been completed as part of DevOps is not tied up waiting for manual processes to send it on to testing or production. This way, pressing issues can receive attention more immediately, but developers’ attention does not have to be div

The ways that continuous delivery can improve your processes are relatively self-explanatory, but they’re worth noting if you’re still unclear on why this methodology has gained so much traction:

●  Automate releases — When your team can test and prepare code for delivery automatically, it takes a great deal of manual work out of the process, allowing for a more streamlined workflow.

●  Boost productivity — With less time spent on manual tasks, developers can focus on work items that will enhance the quality of the software released to customers, resulting in a more productive work environment overall.

●  Locate bugs faster — Automated testing environments will be able to search for a more comprehensive list of potential errors incredibly quickly without adding extra time to developers’ workflow.

●  Deliver speedier updates — Continuous delivery allows your team to deliver updates quickly with the assurance that they have already passed through a standardized process of testing so there’s no question as to whether to code is up to par.

In the world of DevOps, continuous delivery is an invaluable tool. There’s no reason to waste valuable manual effort on processes that can easily be automated with continuous delivery, thus freeing up your talented development team to focus on what they do best. For more insight into how continuous delivery could boost your DevOps processes, contact Rivet Logic.