Container Solutions

Containers for Developers

In a Star Systems, from a developer’s desktop to a testing machine to a set of production machines, a Docker image can be created that will deploy identically across any environment in seconds. Containers are then created from this image as you need them. You can also use an image as a baseline to create another image, making image creation even faster. Multiple containers can share the same image, which means containers start very quickly and use fewer resources. With containers, developers can build an app in any language. These apps are completely portable and can run anywhere - laptop, desktop, server, private cloud, public cloud or service provider - without any code changes. you can use containers to spin up light-weight and portable app components – or ‘micro-services’ – for distributed apps and quickly scale each service separately.

Container orchestration has become an exciting new area of innovation with multiple options and solutions. Container orchestrators are assigned a pool of servers (VMs or bare metal servers), commonly called a “cluster,” and “schedule” deployment of containers onto those servers. Some orchestrators go further and configure networking between containers on different servers, while some include load balancing, container name resolution, rolling updates and more. Docker Compose enables the definition of simple multi-container applications. Docker Swarm manages and organizes Docker containers across multiple hosts via the same API used by a single Docker host. Kubernetes is an open-source solution built by Google offering container grouping into “Pods” for management across multiple hosts.

Microservices

Microservices is an approach to application development where every part of the application is deployed as a fully self-contained component, called a microservice that can be individually scaled and updated. When the application is constructed using microservices, each subsystem is a microservice. In a dev/test environment on a single box, the microservices might each have one instance, but when run in production each can scale out to different numbers of instances across a cluster of servers depending on their resource demands as customer request levels rise and fall.

Provisioning and Configuration Management

Through the use of applications like Chef, Puppet and Razor, you can keep tight and centralized control over the composition of your platform. You manage the configuration of systems and software from a single interface and can modify if automatically across your entire platform. You save time and increase both security and reliability.

Continuous Delivery and Integration

In the past, the implementation of changes to applications from a development environment to production was a complex and time-consuming process. With applications such as Jenkins, Hudson, Anthill Pro and Maven you can automate testing and applying updates in any environment you want through a centralized system.

Technology that you can use to build, run, test, and deploy distributed applications inside software containers. Because containers are lightweight, pared-down virtual machines that can be easily provisioned, developers have created them sporadically as a solution to support their continuous delivery.

Basic concepts

You will encounter these ideas in almost every discussion of Docker
  • Container: The technology that allows the deployment and execution of an application and includes its dependencies, user files settings, and the operating system.
  • Docker daemon, engine, or server: Responsible for managing and instantiating Docker containers.
  • Docker command-line client: Allows a user to communicate and control the Docker server daemon.
  • Dockerfile: A set of instructions to run over a base image. Docker follows these instructions to build a customized image.
  • Docker image: Blueprint or template used to launch the Docker container.
CI/CD/CT

Continuous Integration, Continuous Delivery, and Continuous Testing

Star Systems are an Enterprise DevOps and Continuous Delivery Consultancy headquartered in Chennai.

Continuous Integration (CI) is a software development practice in which developers frequently integrate the changes they make to code in a shared code repository – often several times per day. Each change is then tested and verified by an automated build, instantly identifying and alerting you to any errors. The goal of continuous integration is to increase the efficiency of development teams by making it easy to identify errors and conflicts as early as possible in the lifecycle.

Jenkins is one of the mostly used Continuous Integration tools for build automation due to its capacity in managing a great number of nodes, called slaves, with executors for a wide range of tasks related to project build and deploy. Each executor runs Jenkins jobs, alleviating Jenkins server from running all the tasks.
Continuous Integration Tools

Continuous Integration is another of the concepts highlighted by agile development methods. Agile, and specially lean, methodologies aim for quick iterations of product releases or deployments. Continuous Integration tool check that the recent code changes can be quickly deployed to the actual product without breaking anything. This goes hand-in-hand with the availability of libraries and services that do automatic testing.

DevOps Tools
  • Jenkins
  • Puppet
  • Go
  • Ansible
  • Nagios
  • Nexus
  • Kubernetes
  • Automic
Video

Our solution was to automate business processes throughout the organisation with the goal of drastically reducing the time it took for these requests to be processed. The web form output is now processed automatically, and the data is then sent on to a central database. The retrieval of all the relevant subsets of data is fully automated, as well as updating downstream systems as well as the central database with any output as the process is in progress. After our implementation, the entire workflow was automated with not a single point of manual input.

Developers and operations commonly have opposite goals – developers are required to build things and deliver change, while operations are required to keep things running smoothly. DevOps aims to bridge this gap by creating a culture of collaboration and interdependence among developers and operations through increased transparency, communication and shared processes.