DevOps is a cultural shift in the way of building software focusing on collaboration with the goal of getting quality and reliability along with the speed to market. It’s a way of working together in a collaborative fashion to deliver better software.
The fundamental goal of DevOps is to remove all the bottlenecks out of the system and DevOps is all about lean thinking as it comes from the concept of lean manufacturing.
Today a lot of software companies are emerging around the World. Software applications and mobile apps are increasingly becoming a niche for any businesses. Your software applications instills curiosity in your clients and they expect their service to be delivered faster. If your applications fails to mark the standard, so does your company. With traditional methods, development and operation often seem like they are from different countries. If you want to deliver visionary applications to the customers, traditional methods are no longer good enough. In the already competitive application economy – you need a change!
GeakMinds is certain DevOps is the change that you should adopt. DevOps eradicates the traditional relationship between development and operation to multiply the speed of the application delivery without losing the quality customers expect. DevOps eliminates development constraint, kick starts automation and creates a feedback loop from operation to delivery.
DevOps is a big change. Those organizations that have prospered in implementing it have often seen perfections in their productivity and quality. If you want your company on the forefront, DevOps is the key.
In the typical organizations, dev will work on a sprint where they work on code that they can deploy and only then at the end of the project, the IT operations mobilize to their environment to play into and typically developers will use up all the time they scheduled leaving no time for IT operations, let alone information security. This usually causes trouble and deploy failures. What’s astonishing about DevOps is that from the very beginning, developers are not just working on code, they are working on code and the environment that deploys into it. Dev and ops are working together to create stable secure applications, operating systems, networks and databases all at once. These are been worked at earlier stages of the development cycle.
- Increase Customer Satisfaction & Retention
- Increase Business Efficiency
- Improve Response Time
- Increase Ops alignment to business goals
- Reduced Cost over time
- Improve Business Agility
- Better Employee Productivity & Satisfaction
- Faster delivery of new features
- Better release control & versioning
- More frequent software releases
- Better development velocity
- Reduce Time for Action
- Better collaboration amongst project teams
- Better Productivity
- Automated server configuration reduces time window for resource management from days to minutes
Our DevOps Strategy
Companies that follow traditional method of software development which includes deploying a huge amount of code at irregular intervals will find it challenging to adapt to the fast paced and regular delivery demands. Probabilities of deployment failures at launch are high due to lack of cooperation with the Dev-Ops team. DevOps brings in a culture of sharing information and generating repeatable collaborative processes. Using agile principles, we create cross-functional teams which include developers, IT Operations, infrastructure architects and a Quality Analysis team.
In building our DevOps strategy we wanted all teams to speak the same language, and have a common understanding and skills. We wanted to break down the wall of confusion between Dev and Ops that had been erected over time, bringing teams closer together and allocating resources to delivering applications, so that we can be more agile, developing and releasing high quality applications swiftly, professionally and consistently. Timely releases and setting up test environments becomes a simple process as a result of implementing our DevOps strategy.
Our main objectives in implementing DevOps Strategy includes:
- Automated build and release
- Automated infrastructure/system provisioning
- Integrating DevOps tools into a Service Delivery Platform
Stages of DevOps Implementation
STAGE 1: DevOps Planning
- We create a complete plan which visualizes cross-departmental collaboration, architecture and environment design
- Set up processes and a complete workflow for continuous delivery and deployment
- It helps meet the consistency and quality expectations of our clients
STAGE 2: Continuous Delivery and Deployment
- Our DevOps team is constantly involved with the ops team throughout the lifecycle of the application that is continuously tested and deployed
- We practice configuration management tools like Puppet, Chef and CFEngine to meet Performance and stability aspects of the application which is a vital aspect of our software quality
STAGE 3: Continuous Integration and Tests
- Using agile development practices as a high-grade working solution, we practice continuous integration and testing
- Our DevOps team can manage minor code modifications and improvements more efficiently through Continuous Integration
STAGE 4: Continuous Monitoring and Support
- We have skilled and certified IT expertise who monitors and supports our DevOps environment and applications
- We practice Incident management, event-service-process log monitoring using advanced performance logging and monitoring tools like Logstash, New Relic and Nagios for continuous monitoring and support
- With more than a decade of industry experience and acquaintance to varied areas in IT and software development, InfoFaces is a pioneer in providing customized, end-to-end solutions
A part of DevOps is automation, it’s about optimizing the process to make it go faster and figuring out what’s working and what’s not and how to get that moving faster that can leverage an increasingly programmable and dynamic infrastructure from a lifecycle viewpoint. Tools are something that we use in order to make that happen. They are the vital part of this whole cultural change and the shift in how we work. Version control and automating code deployments are two of the most impactful common tools but the key tools required for DevOps team includes: Build, Continuous Integration, Database, Dependencies, Deployment, Hardware, Infrastructure Automation, Monitoring, Static Code Analysis and Automated QA.
BUILD – ANT, MAVEN
It is the process of converting source code into executable software.
Our developers describe their process for building this software with tools such as Ant, Maven. The build tool also acts as the central mechanism for calling out to other parts of the delivery process, including dependencies, database changes and static analysis as well as creating environments and running tests.
CONTINUOUS INTEGRATION – JENKINS, CLOUDBEES
It is the process of building software based on every change.
It is successfully defined with Jenkins, Cloudbees. This tools enables automated delivery of software in every stage. Each stage then assesses the risk of the application release (if any) and fails the delivery pipeline when it discovers any error.
DATABASE – LIQUIDBASE
Tools that run scripts to create, upgrade and downgrade databases can be used to certify that the database is always in a safe state.
Liquidbase tool helps the management of these processes and offers mechanisms for integrating with build scripts.
DEPENDENCIES – NEXUS
Dependency management tools like Nexus provide repositories for hosting and publishing libraries that are used by the software system under development or other software that might consume the software distributions being published.
The purpose of these dependency management systems is to provide an official source for binaries and prevent errors due to corrupt files, incorrect versions or other reasons.
DEPLOYMENT – CAPISTRANO
Deployment addresses the steps for running software in an existing environment.
Fundamental steps for a web development might consist of stopping the servers, copying a WAR file, Appling some configuration and starting the server again. An example of a tool that supports deployment automation is Capistrano
There are many ways to secure hardware, for example through a virtualization tool, shared infrastructure, cloud provider such as AWS, Azure or access to the physical machine.
INFRASTRUCTURE AUTOMATION – PUPPET, CHEF
Infrastructure automation defines the configuration for an environment.
An environment may consist of one node or thousands. With infrastructure automation, this configuration can be applied in a consistent manner across thousands of nodes. Tools like Puppet and Chef supports infrastructure automation.
MONITORING – NAGIOS, CACTI
Both applications and systems have to be monitored. Application monitoring follows top-down approach whereas system monitoring follows bottom-up approach. With application-monitoring tools such as Nagios and Cacti, our team monitors the performance of the application from the user’s perspective, including page-load times, database-transaction times, trending and so on. System monitoring focuses on factors such as CPU load, utilized memory and disk space.
Software-as-a-service (SaaS) offerings for monitoring tools are breaking down the traditional barriers that may have prevented teams from utilizing them previously. Teams of any size, from hundreds of users to millions, can benefit from using these tools without the up-front investment in time and expense that is typical with traditional enterprise-monitoring tools.
As a result of the constant feedback elicited through a continuous-delivery approach, monitoring becomes more vital to the business as it is able to tweak features, test scenarios, and deliver different features to different users based on application monitors. An application-monitoring tool can sit at the epicenter of an effective cross-functional team that adopts DevOps and continuous delivery.
STATIC ANALYSIS – SONAR, KLOCWORK
Static analysis tools analyze source code to identify potential problems such as coding style, complexity, duplication, test coverage and dependency analysis.
Build scripts can be configured based on predefined thresholds such as high complexity, low code average, or too much code duplication. Static analysis reports can be integrated with Continuous Integration tools so that our team members can obtain trending information from the built-in Continuous Integration dashboards. Sonar, Klocwork are examples of static analysis tool that our development teams frequently use.
AUTOMATED QA – JUNIT, SELENIUM, CUCUMBER, RALLY, CA, TESTNG
Many types of testing tools are available. In continuous delivery, there is a focus on automated testing. Both developers and testers use tools for unit, component, load, performance, function, acceptance testing and so on. While testing tools are numerous: Junit, Selenium and cucumber are widely used.