DevOps
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DevOps
Ecogreensoft’s DevOps consulting services are the cornerstone of modern software development.
Our DevOps engineers employ cutting-edge tools that support our frameworks and integrate DevOps practices into your business. To hasten the release of your product, we automate your cloud infrastructure and business operations while assuring continuous integration and delivery. Our market-proven DevOps best practices and industry-leading DevOps services help companies launch feature-rich products more quickly and affordably.
Assessment and Strategy Planning
Assess the state of DevOps practices, IT infrastructure, and application lifecycle capabilities currently in place.
Create a roadmap for updating procedures and processes, adding more robust security measures, and creating an entirely automated environment.
Identify obstacles and offer workarounds. Choose important metrics to monitor.
Framework & Tool stack
Utilize our robust ecosystem of open-source and paid tools throughout the various stages of agile development.
Make a variety of customised integrations by integrating these with our framework, which is already in a plugin-ready condition.
Create a strategy for utilizing cutting-edge tools in consultation with our professionals and essential members of your team.
DevOps for Enhanced Results
Get a complete DevOps implementation to hasten the time it takes to sell your product.
For efficient collaboration, eliminate data silos and communication barrie.
Follow an agile DevOps methodology to expedite the development cycle and quickly incorporate feedback.
Service Management for DevOps
Improve people's abilities, toolchains, and processes for monitoring and foreseeing a variety of activities to improve operations
Completely control the planning, building, server configuration, configuration management, continuous integration/delivery, and automation.
Implement monitoring, feedback, and troubleshooting procedures.
Our DevOps Approach
Our DevOps strategy integrates all of the DevOps tools, procedures, and practices required to expedite software delivery.
With us, you can automate infrastructure, streamline operations, and improve communication across infrastructure, development, operations, quality assurance, and security. We assist companies in creating a frictionless operational environment and implementing secure coding techniques. The industry has confirmed that our development and operations procedures are based on current industry standards. You may create an action plan with our industry-leading DevOps experts that automate cloud infrastructure, accelerates software delivery, and instils a DevOps culture in your firm.
The DevOps approach is based on these principles:
Continuous Integration
It helps to detect any problems at the stage of coding. As soon as a developer implements any part of the code, it is saved in the version control system (TFS, SVN, or Git). And then a robot checks the changes in the working version and initiates the project assembly. Based on the results of the project assembly, developers can find out whether there are any bugs or not.
Automatic Testing
Automatic testing allows developers to fix the detected bugs as soon as possible without waiting for manual testing. During this stage developers also perform load testing and application performance monitoring to check how the app will perform if thousand of users open it.
Continuous Deployment
This stage hits rock bottom in the development process. Continuous deployment accelerates the process of app delivery allowing automatic installations of changes in the appropriate environment. Taking advantage of the principles mentioned above, DevOps offers a more flexible development approach than Agile does. Let’s take a closer look at what makes the DevOps approach so popular.
Provided DevOps Services
Kubernetes
A Kubernetes service is a logical abstraction for a deployed group of pods in a cluster (which all perform the same function).
As pods are transient, a service allows a set of pods that perform specified operations (web services, image processing, etc.) to be given a name and a unique IP address (clusterIP). It will not change as long as the service is functioning on that IP address. Policies for service access are also defined.
components of a Kubernetes services
Kubernetes services connect a group of pods to a service name and IP address that has been abstracted. Services enable pod discovery and routing. Services, for example, connect an application's front-end and back-end, which are both executed in distinct deployments in a cluster. Labels and selectors are used by services to match pods with other applications. The following are the primary characteristics of a Kubernetes service
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A label selector that locates pods
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The clusterIP IP address and assigned port number
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Port definitions
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Optional mapping of incoming ports to a targetPort
Using pod selectors, services can be defined. Suppose to point service to another service in a different namespace or cluster.
Types of Kubernetes services?
ClusterIP
Exposes a service which is only accessible from within the cluster.
It helps to detect any problems at the stage of coding. As soon as a developer implements any part of the code, it is saved in the version control system (TFS, SVN, or Git). And then a robot checks the changes in the working version and initiates the project assembly. Based on the results of the project assembly, developers can find out whether there are any bugs or not.
NodePort
Exposes a service via a static port on each node’s IP.
Every cluster node has open ports called NodePorts. Even if the service is not operating on that node, Kubernetes will route traffic that enters into a NodePort to it. NodePort is meant to serve as a basis for various higher-level ingress mechanisms, such as load balancers, and is beneficial in development.
LoadBalancer
Exposes a service via a static port on each node’s IP.
Every cluster node has open ports called NodePorts. Even if the service is not operating on that node, Kubernetes will route traffic that enters into a NodePort to it. NodePort is meant to serve as a basis for various higher-level ingress mechanisms, such as load balancers, and is beneficial in development.
ExternalName
Exposes a service via a static port on each node’s IP.
Every cluster node has open ports called NodePorts. Even if the service is not operating on that node, Kubernetes will route traffic that enters into a NodePort to it. NodePort is meant to serve as a basis for various higher-level ingress mechanisms, such as load balancers, and is beneficial in development.
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Terraform
Terraform is an infrastructure as a code tool that allows you to specify cloud and on-premises resources in human-readable configuration files that can be versioned, reused, and shared. After that, you can utilise a standardised procedure to provide and manage all of your infrastructures throughout their lifecycle. Terraform can manage both low-level components such as compute, storage, and networking resources and high-level components such as DNS records and SaaS functionalities.
components & services
At a high level, Terraform may be divided into two parts: Terraform Core & Plugins.
Infrastructure life cycle management is the responsibility of Core. You download and run the open-source binaries from the command line.
Terraform Core: Takes into consideration the current state and evaluates it against your desired configuration. It then proposes a plan to add or remove infrastructure components as needed. Next, it takes care of provisioning or decommissioning any resources if you choose to apply the plan.
Terraform Plugins: Provide a mechanism for Terraform Core to communicate with your infrastructure host or SaaS providers. Terraform Providers and Provisioners are examples of plugins as mentioned above. Terraform Core communicates with the plugins via Remote Procedure Call (RPC).
Terraform providers: Terraform has more than 100 cloud providers it serves. At Fairwinds we use Terraform for three - AWS, GCP, and Azure. The provider is what enables interfacing with the specific API and exposes whatever resource you have defined. HCL or HashiCorp Language is the common language used to define a resource, no matter what provider is being used.
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Chef
An automation tool that allows you to define infrastructure as code. Infrastructure as code (IAC) simply refers to the management of infrastructure through the use of code (automating infrastructure) rather than manual operations. It is also known as programmable infrastructure. Chef writes system configurations in a pure-Ruby domain-specific language (DSL).
Below are the types of automation done by Chef, irrespective of the size of the infrastructure:
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Infrastructure configuration
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Application deployment
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Configurations are managed across your network
In Chef, Nodes are dynamically updated with the configurations in the Server. This is called Pull Configuration which means that we don’t need to execute even a single command on the Chef server to push the configuration on the nodes, nodes will automatically update themselves with the configurations present in the Server.
About Chef
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Chef supports multiple platforms like AIX, RHEL/CentOS, FreeBSD, OS X, Solaris, Microsoft Windows and Ubuntu. Additional client platforms include Arch Linux, Debian and Fedora.
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Chef can be integrated with cloud-based platforms such as Internap, Amazon EC2, Google Cloud Platform, OpenStack, SoftLayer, Microsoft Azure and Rackspace to automatically provision and configure new machines.
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Chef has active, smart and fast-growing community support.
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Because of Chef’s maturity and flexibility, it is being used by giants like Mozilla, Expedia, Facebook, HP Public Cloud, Prezi, Xero, Ancestry.com, Rackspace, Get Satisfaction, IGN, Marshall University, Socrata, University of Minnesota, Wharton School of the University of Pennsylvania, Bonobos, Splunk, Citi, DueDil, Disney, and Cheezburger.
Configuration
You can automate activities by using Configuration Management technologies such as Chef, Puppet, and others. All you have to do is define the specifications in one centralized server, and all the nodes will be configured accordingly. It gives project managers and auditors access to an accurate historical record of system status. The configurations must be specified once on the central server and replicated on hundreds of nodes.
There are broadly two ways to manage your configurations namely Push and Pull configurations:
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Pull Configuration: In this type of Configuration Management, the nodes poll a centralized server periodically for updates. These nodes are dynamically configured so basically they are pulling configurations from the centralized server. Pull configuration is used by tools like Chef, Puppet etc.
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Push Configuration: In this type of Configuration Management, the centralized Server pushes the configurations to the nodes. Unlike Pull Configuration, there are certain commands that have to be executed in the centralized server in order to configure the nodes. Push Configuration is used by tools like Ansible.
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Ansible
Ansible operates by connecting to your nodes and sending little programs known as modules to them. In Ansible, modules are utilized to complete automated tasks. These programs are designed to be resource models of the system's desired state. Ansible then runs these modules and removes them when they are finished. Without modules, you’d have to rely on ad-hoc commands and scripting to accomplish tasks.
There are two categories of computers: The control node & managed nodes.
The control node is a computer that runs Ansible. There must be at least one control node, although a backup control node may also exist. A managed node is any device being managed by the control node.
Architecture
Take a look at Ansible's architecture and how it manages operations.
Ansible Plugins: Plugins are additional pieces of code that increase functionality, and you've most likely used them in a variety of other programs and platforms. You can utilize the built-in Ansible plugins or create your own.
Plugins: Action, Become, Cache, Callback, Cliconf, Connection, HTTP API, Inventory, Lookup, Netconf, Test.
Ansible Modules: Modules are brief programmes that Ansible distributes from a central control workstation to all nodes or remote hosts. Modules, which may be executed via playbooks, control things like services and packages.
Ansible Inventories: Ansible uses an inventory file to keep track of which hosts are in your infrastructure and then connects to them to run commands and playbooks. Ansible collaborates with other systems in your infrastructure. This is accomplished by selecting methods from Ansible's inventory file, which is saved at the host location by default. Once the inventory is registered, you can assign variables to any of the hosts using a simple text file, and you can obtain inventory from a variety of sources.
Ansible Playbook: Ansible playbooks allow IT, professionals, to program apps, services, server nodes, and other devices without having to start from scratch. Ansible playbooks, as well as the conditions, variables, and tasks included within them, can be saved, shared, and reused indefinitely. Ansible playbooks work in the same way that task manuals do. They are straightforward YAML files, which are human-readable data serialisation languages.
Benefits of Ansible
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Ansible is quick and easy to use, as it runs all of its operations over SSH and doesn't require the installation of any agents.
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Ansible is a free, open-source tool, and it's straightforward to set up and use: Ansible's playbooks don't require any special coding knowledge.
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Ansible can be used to perform simple tasks such as ensuring that a service is operating or rebooting from the command line without the need for configuration files.
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Docker
Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security allow you to run many containers simultaneously on a given host. Containers are lightweight and contain everything needed to run the application, so you do not need to rely on what is currently installed on the host. You can easily share containers while you work, and be sure that everyone you share with gets the same container that works in the same way.
Docker provides tooling and a platform to manage the lifecycle of your containers:
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Develop your application and its supporting components using containers.
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The container becomes the unit for distributing and testing your application.
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When you’re ready, deploy your application into your production environment, as a container or an orchestrated service. This works the same whether your production environment is a local data centre, a cloud provider, or a hybrid of the two.
Architecture
Docker is built on a client-server model. The Docker client communicates with the Docker daemon, which is in charge of building, operating, and distributing your Docker containers. A Docker client and daemon can run on the same machine, or a Docker client can connect to a distant Docker daemon. The Docker client and daemon communicate with one another using a REST API, UNIX sockets, or a network interface. Docker Compose is another Docker client that allows you to deal with applications made up of a collection of containers.
The Docker daemon: The Docker daemon (Dockerd) listens for Docker API requests and manages Docker objects such as images, containers, networks, and volumes. A daemon can also communicate with other daemons to manage Docker services.
The Docker client: Many Docker users interact with Docker primarily through the Docker client (docker). When you use commands like docker run, the client transmits them to Dockerd, which executes them. The Docker API is used by the docker command. The Docker client can interact with many daemons.
Docker Desktop: Docker Desktop is a simple-to-install application for Mac, Windows, or Linux that allows you to create and share containerized apps and microservices. Docker Desktop comprises Dockerd, Docker Client (docker), Docker Compose, Docker Content Trust, Kubernetes, and Credential Helper. See Docker Desktop for further details.
Docker registries: Docker images are stored in a Docker registry. Docker Hub is a public registry that anybody may use, and Docker is set up by default to look for images on Docker Hub. You can even set up your own personal registry. The relevant images are pulled from your configured registry when you use the docker pull or docker run commands. When you use the docker push command, your image is pushed to the registry you choose.
Docker objects: Docker allows you to create and use images, containers, networks, volumes, plugins, and other items.
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Jenkins
Jenkins uses pipelines to create a continuous integration or continuous delivery (CI/CD) environment for nearly any combination of languages and source code repositories, as well as to automate other normal development chores. While Jenkins does not eliminate the need for individual step scripts, it does provide a faster and more sophisticated approach to connect your full chain of build, test, and deployment tools than you could easily develop yourself. Jenkins is the main open-source automation server, with over 1,600 plug-ins for automating various development activities. Continuous integration and continuous delivery of Java code (i.e. constructing projects, running tests, performing static code analysis, and deploying) is merely one of many operations that people automate with Jenkins. These 1,600 plug-ins are divided into five categories: platforms, UI, administration, source code management, and, most commonly, build management.
Working with Jenkins
Jenkins is the most extensively used continuous delivery solution due to its versatility and large, active community. The Jenkins community has over 1,700 plugins that allow Jenkins to interact with nearly any tool, including all of the best-of-breed solutions used in the continuous delivery process. Jenkins remains the dominating solution for software process automation, continuous integration, and continuous delivery, with over 165,000 active installations and an estimated 1.65 million users worldwide as of February 2018.
Jenkins is available as a WAR archive, installer packages for the major operating systems, a Homebrew package, a Docker image, and source code. The source code is largely Java, with a few Groovy, Ruby, and Antlr files thrown in for good measure.
The Jenkins WAR can be launched solo or as a servlet in a Java application server such as Tomcat. In either instance, it generates a web user interface and accepts REST API calls.
When you launch Jenkins for the first time, it creates an administrative account with a long random password, which you may enter into the installation's initial webpage to unlock it.
Features
The following are some characteristics of Jenkins that distinguish it from other Continuous Integration tools:
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Adoption: Jenkins is widespread, with more than 147,000 active installations and over 1 million users around the world.
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Plugins: Jenkins is interconnected with well over 1,000 plugins that allow it to integrate with most of the development, testing and deployment tools.
Continuous Integration is a development approach that requires developers to commit changes to the source code in a common repository numerous times each day or more frequently. Each commit to the repository is then built. This allows the teams to identify problems early on. Aside from that, depending on the Continuous Integration tool, there are various other functions such as deploying the build application on the test server, sending the build and test results to the relevant teams, and so on.
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Git
Git is a version control system that can be downloaded and installed on your computer. Whether you wish to collaborate with other developers on a coding project or work on your own project, you must use Git.
If you're working on a project over time, you might wish to keep track of which changes were made, by whom, and when. This gets especially critical if your code contains a bug! Git can assist you with this. Since then, the basic Git project has evolved into a complete version-control system that may be used directly. Despite being heavily influenced by BitKeeper, Torvalds purposely ignored traditional approaches, resulting in a one-of-a-kind architecture.
Characteristic
Git's design is a synthesis of Torvalds's experience with Linux in maintaining a large distributed development project, along with his intimate knowledge of file-system performance gained from the same project and the urgent need to produce a working system in short order. These influences led to the following implementation choices:
Strong support for non-linear development: Git allows for speedy branching and merging, as well as tools for viewing and navigating a non-linear development history. A fundamental assumption in Git is that a change will be merged more frequently than it will be written, as it is sent around to multiple reviewers.
Distributed development: Git provides each developer with a local copy of the whole development history, and changes are replicated from one repository to the next. These modifications are imported as new development branches and can be merged in the same way as a locally generated branch can.
Compatibility with existing systems and protocols: Repositories can be published via the Hypertext Transfer Protocol (HTTP), the File Transfer Protocol (FTP), or the Git protocol over a plain socket or a Secure Shell connection (ssh). Git also includes a CVS server emulation that allows existing CVS clients and IDE plugins to access Git repositories. Subversion repositories are immediately usable with git-svn.
Efficient handling of large projects: Torvalds has described Git as fast and scalable, and Mozilla performance tests revealed that it was an order of magnitude faster diffing large repositories than Mercurial and GNU Bazaar; fetching version history from a locally stored repository can be 100 times faster than fetching it from a remote server.
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Gitlab CI
GitLab's CI (Continuous Integration) service builds and tests software every time a developer contributes code to the application. GitLab CD (Continuous Deployment) is a software service that places updates to all code in production, resulting in daily production deployment.
The following points describe the usage of GitLab CI/CD −
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It is easy to learn, use and scalable.
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It is a faster system which can be used for code deployment and development.
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You can execute the jobs faster by setting up your own runner (it is an application that processes the builds) with all dependencies which are pre-installed.
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GitLab CI solutions are economical and secure and are very flexible in costs as much as the machine used to run it.
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It allows the project team members to integrate their work daily so that the integration errors can be identified easily by an automated build.
Features
One of GitLab's most distinguishing aspects is its extensive feature set. It's a platform that focuses on breadth rather than depth. This makes showcasing its primary qualities under CI a difficult task. It's tough to tell whether a feature exists merely in the name (too shallow) or if it actually solves a problem. In any case, the following are the most popular GitLab CI features:
Merge trains: A merge train is a list of merge requests that are queued and waiting to be merged into the target branch. Each merge request (MR) has its own CI process and is sequentially merged against the target branch. Each merging request will be compared to the outcomes of all prior merge requests.
Auto-scaling CI runners: The ability to auto-scale runners grants the runners (or, more specifically, the runner management) the capacity to invoke and create as many machines as they demand. This effectively allows your GitLab CI farm to scale elastically to match your build needs, particularly when running tasks or pipelines concurrently.
GitLab Container registry: GitLab CI has its own container registry. GitLab has embedded several open-source package managers, which they wrap into their own package manager and container registry. Enabling Docker’s registry in the GitLab container registry, for example, will allow GitLab users to store and update docker images. Container registries share the same characteristics as the projects they belong to: if the project is private, the registry will be too, but if it’s public, there is no way to make the Docker images private.
Test coverage visualization: GitLab's popular CI functionality allows users to visually assess how their current test suite is giving coverage to the project's source code. It will allow GitLab users to consume information from their favourite testing and code-coverage tools, process the work in the background and display the findings to determine which code lines are and are not covered by tests.
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Bitbucket
Bitbucket Cloud is a team-oriented Git-based code hosting and collaboration solution. Bitbucket's best-in-class Jira and Trello connectors are intended to bring together the complete software team to execute a project. We give a single location for your team to collaborate on code from concept to Cloud, generate quality code through automated testing, and confidently deploy code.
There are many different Platforms on which bitbucket could be hosted and there are many options:
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Cloud
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Server
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Data Centre
Overview
Best-in-class Jira & Trello integration: Bring order to chaos and keep the entire software organization in the loop, from engineering to design. Access branches, build status, commits, and Jira or Trello card status.
Code collaboration from concept to cloud: Create a merging checklist with designated approvers and check for passing builds before transitioning Jira issues based on pull request status.
Build and test automatically with built-in continuous delivery: Build, test, and deploy with Bitbucket Pipelines, our integrated CI/CD solution. Take the use of configuration as code and rapid feedback loops.
Deploy with confidence: Track, preview, and advertise your deployments with confidence.
Bitbucket Server (previously known as Stash) is a Java-based Git server and web interface software created with Apache Maven. It enables users to do basic Git actions (similar to GitHub, such as reviewing or merging code) while managing read and write access to the code. It also integrates with other Atlassian technologies.
Bitbucket Server is a for-profit software application that may be licensed for on-premises use. Atlassian offers Bitbucket Server for free to open source projects that meet certain criteria, as well as non-profit, non-government, non-academic, non-commercial, non-political, and secular groups. The whole source code is accessible under a developer source license to academic and business customers.
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