consul VS kubernetes

The JHipster scaffolded sample application has a gateway application and two microservices. It uses Consul for service discovery and centralized configuration.

Service Discovery: Microservices need to discover and communicate with each other dynamically. Service discovery tools like etcd, Consul, or Kubernetes built-in service discovery mechanisms help locate and connect to microservices running on different nodes within the infrastructure.

After some research and testing, I landed on using Consul and Fabio as the demo infrastructure. Of course, there is a myriad of other options to accomplish this task, but because of the low configuration and ease of use, I was impressed with this pairing. Both projects are mature and well-supported, and very flexible--just because you can run them with low configuration, doesn't mean you have to. I wanted to keep this demo constrained, but the exercise did get me excited about exploring things further: circuit breakers, traffic splitting, and more complex service meshes.

The goal is to be able to use Consul SD configurations to allow for retrieving scrape targets from consul. Is this possible? Can anyone provide an example? Thank you!!

https://github.com/hashicorp/consul/pull/12080 - this should be the Consul issue that brought down Roblox

The Consul collector is production ready! Consul by HashiCorp is a powerful and complex identity-based networking solution, which is not trivial to monitor. We were lucky to have the assistance of HashiCorp itself in this endeavor, which resulted in a monitoring solution of exceptional quality. Look for common blog posts and announcements in the coming weeks!

Changed the service discovery to Consul, since this is the default in JHipster 8.

In another effort to standardize development and operations, Lob has just wrapped up our container orchestration migration from Convox to HashiCorp’s Nomad, led by Senior Platform Engineer Elijah Voigt. In this new ecosystem, one feature available to us is Consul Service Mesh (a feature of Consul, which is part of our Lob Nomad stack).

Service registry and discovery etcd, consul, nacos

I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator.

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.