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HypeRoam On Symbian

on April 03, 2010

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Rancher for Microservices : Upgrades and Rollback.

So far we've checked how easy it is to get up and running with Rancher . We also deployed a very simple HTTP service on our Rancher Cluster, attached an L7 Load balancer and successfully scaled up containers running this service . In this post, I'll use the same service with a slight modification which is version number now return as 2.0 in HTTP response. So far our service is on v1.0, let's say we've worked very hard and released a new version with latest features. We want to release it to our users while ensuring there is no downtime during deployment. At this stage, our docker image of service 2.0 is pushed to docker repository (ravirdv/app:2.0). In the world without container orchestration platforms, we'd have to write scripts to spawn up compute resource (EC2, VM etc) and then use something like Ansible/Chef/Farbic scripts to provision required services and dependencies. Once that is done, we'd push our package and hope there is no dependency/version

Getting Started with Rancher & Kubernetes

During my time working at Azoi (a startup), I was responsible for maintaining Gitlab for my team along with various other self-hosted internal services. When I first setup Gitlab in 2013, it was quite a task, as setting it up would involve configuring various services using provided scripts and a lot of luck. Fortunately, I found Bitnami Gitlab package to make that process easier. However initial setup is one thing and keeping up with the latest releases was a nightmare. Fast forward to 2016, I joined eInfochips as Solutions Consultant. Where one of my responsibilities was to modernize development workflow and encourage DevOps culture. It made sense to use Gitlab specially for Gitlab-runner and since this was a fresh setup, I explored few options to setup Gitlab, I found that Gitlab monthly releases were now published as Docker images. So I decided to use Gitlab docker image to host gitlab-ce internally. This time around, the experience was very different, initial setup and upgradi

Deploying Django/Flask App in Production with NGINX Unit and Docker

NGINX unit is a modern take at application server, it supports talking to apps over CGI, WSGI and shared memory incase of statically compiled apps. Unit is open source available at https://unit.nginx.org/ Here are some features: - Modern Polyglot Application Server - Supports apps written in popular languages like Go, Python, Java, JavaScript (NodeJS), Ruby and of course good old PHP - Supports advanced workflow like deploying apps without any downtime, remote configuration management via REST APIs and has ability to run multiple apps (even with different runtime versions!) - Support for custom routing logic allows easy to A/B testing. - And it can do TLS in case you’re looking for end-to-end TLS encryption. Does that sound exciting? let’s look at how you can use Unit to deploy your Django or Flask app on production environment. Steps for Flask App (we’ll use existing httpbin app which is written using Flask framework and uses gunicorn as application serv

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