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We recently Dockerized the main part of our event processing pipeline using the 1.12-rc4 release. It’s been awesome using Docker in Swarm mode, and we’ve been really impressed with the ease of setup and use of Swarm mode. Our event pipeline processes around 220 million application errors per day, approximately 150k per minute, and performs a massive variety of processing tasks — it’s a critical piece of our infrastructure. The new version of Docker Engine introduces native clustering capabilities, built directly into the daemon (as opposed to running a separate set of processes). This, in our opinion, positions Docker as a serious competitor in the container orchestration space (alongside giants like Kubernetes and Mesos), and will make building and operating large distributed applications easier for everyone. Docker Swarm mode A quick look at Bugsnag’s error processing architecture As you probably know, Bugsnag is an error monitoring platform. As part of this, we have to ac...

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There are a bunch of new tutorials on Full Stack Python that were written since the last time I sent out an email newsletter. These range from getting started with some popular open source projects to integrating third party APIs to build authentication into Flask applications: Configure Python 3, Flask and Gunicorn on Ubuntu 18.04 LTS shows you how to set up your Python and Flask development environment on the latest Ubuntu Long-Term Support (LTS) release. How to Add User Authentication to Flask Apps with Okta covers using OpenID Connect and the Okta API in Flask applications to handle user authentication. How to Provision Ubuntu 18.04 LTS Linux Servers on DigitalOcean is a quick tutorial for developers who have not seen how easy it is to spin up a virtual private server on DigitalOcean for hosting their Python applications. Running Bottle Apps in Docker Containers on macOS provides just the basics to start using Docker on macOS to run an example Flask web app. How to Exp...

Introduction Objects in the Kubernetes API are abstractions that represent a state of your system: deployed containerized applications and workloads, their associated network and disk resources, and other information about what your cluster does. From my recent blogpost, you should know that Kubernetes also contains a number of higher-level abstractions called Controllers built upon the basic objects, and provide additional functionality along with convenience features: Kubernetes basic glossary Must-know terminology to understand Kubernetes concepts Objects are “records of intent” — once you create them, the Kubernetes will constantly work to ensure that these objects exist. By creating an object, you’re effectively telling the Kubernetes what you want your cluster’s workload to look like; this is your cluster’s desired state. Installation To work with Kubernetes objects — either to create, modify, or delete them — you’ll need to use the Kubernetes API. When you use t...

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Here is my list of things a Java developer should learn in 2019. 1. Git Git and Github have been around some time and while I have used Git in past with Eclipse, I am yet to become comfortable with Git on the command line. Why I haven't mastered Git so far? Simply because I didn't need it yet. I have occasionally download projects from Github and run from Eclipse but I am still a novice with Git. Since now most of the companies are migrating their projects from SVN, CVS to Git, its high time to learn and master Git. I have recently purchased the Git Complete: The definitive, step-by-step guide to Git from Udemy on their last 10$ sale and this would be the first item to complete in 2019. If you are in the same boat and want to learn Git in 2019, do check out that course from Udemy, it's very handy. 2. Unit testing Another area which I want to improve in the coming year. There are a lot of new framework and tools available for Java programmers to unit test and ...