Tapping into more compute power is the next frontier of data science. Data scientists need it to complete increasingly complex machine learning (ML) and deep learning (DL) tasks without it taking forever. Otherwise, faced with a long wait for compute jobs to finish, data scientists give in to the temptation to test smaller datasets or run fewer iterations in order to produce results more quickly.
In this guide, we are going to see what a Docker health check is and how to configure it for your Docker containers. A Health Check means to check the health of any resource to determine whether that resource is operating normally. Here, it is about checking the health of Docker containers. If you’ve been using docker containers in production, you might have noticed that docker checks the status of a container by using the status of the process (PID) launched from the Docker file command.
Kubernetes refers to an open-source platform managing containerized service. This portable system simplifies automation and configuration. You can link an app in a Kubernetes cluster and connect it to IBM Cloud Kubernetes service through the VPN. In this article, we will focus on why your kubernetes pod stays in pending state.
Most modern applications today are being designed as a set of microservices with each service running as an independent application. This simply implies that one large application is broken down into small Apps running independently and only communicating with each other. This of course makes it much easier to build and maintain Apps but also offers way more value when combined with containerization technology.
There are a few ways to effectively configure HTTPs for an Nginx Docker Container. In this guide, we will quickly cover configuration through the use of free certificate authority Let’s Encrypt. For plenty of people, using Let’s Encrypt to configure HTTPS for an Nginx docker container is a good option. A paid version like Comodo’s SSL certificates may make more sense if you want to increase the security of your site and server.
Kong for Kubernetes is a Kubernetes Ingress Controller and a full-fledged edge-router which can route traffic to any destination of your choice. In addition to Ingress management, it provides enhanced security and management capabilities. With Kong, you can use Kubernetes not just for running your workloads but also for securing and monitoring connectivity between your workloads – all managed via Kubernetes manifests .
It's easy to get lost in today's continuously changing landscape of cloud native technologies. The learning curve from a beginner's perspective is quite steep, and without proper context it becomes increasingly difficult to sift through all the buzzwords. If you have been developing software, chances are you may have heard of Kubernetes by now. Before we jump into what Kubernetes is, it's essential to familiarize ourselves with containerization and how it came about.
Most of our blog posts are dedicated to Android, iOS and JavaScript development because those are the most interesting platforms for our users. However, from time to time, we also think it’s important to share what’s happening behind the scenes. In this post we’ll be highlighting some of the recent improvements we’ve made to Bugfender’s infrastructure.
Kubernetes and Docker each play a vital role in modern, microservices-based application development. Since Kubernetes and Docker work in unison to help develop, deploy, and manage large-scale applications – they are not mutually exclusive technologies and they are certainly not in competition with each other. Nevertheless, Kubernetes and Docker are often misunderstood by the non-developer community. To clear up the confusion around Kubernetes vs. Docker, we’ve written this guide.
The “as a service” business model continues to grow rapidly, largely thanks to the rise of cloud computing. “As a service” offerings deliver IT products and technologies such as software, hardware, and data storage to consumers via the Internet, rather than having to install or manage them themselves. Serverless and containers are two such “as a service” technologies that have seen increasing adoption in recent years.
