DevOps as a service is an emerging philosophy in application development. DevOps as a service moves traditional collaboration to development and operations team to the cloud, where many of the processes can be automated using stackable virtual development tools.
As many organization adapt DevOps and migrate their apps to the cloud, so too will their tools used in build, test, and deployment processes, effectively making continuous delivery itself a managed cloud service. We’ll take a look at what such a move would entail, and what it means for the next generation of DevOps teams.
What is Devops in the cloud? Essentially it is the migration of your tools and processes for continuous delivery to a hosted virtual platform. The delivery pipeline collapses to a single sile where developers, testers, and operations professionals collaborate as one and as much of the deployment process as possible is automated. Here are some of the more popular commercial options for moving DevOps to the cloud.
Amazon Web Services (AWS) and Azure (Microsoft) has built a powerful global network for virtually hosting some of the world’s most complex IT environments. With fiber linked data centers arranged all over the world and a payment schedule that measures exactly the services you use down to the millisecond of compute time, AWS is a fast and relatively easy way to migrate your DevOps to the cloud.
We have build complex Devops Ecosystems fully automated that will empower teams to an Agile iteration.
Jenkins
Jenkins is a fully managed service for compiling code, running quality assurance testing through automated processes, and producing deployment ready software.
Jenkins offers automatic scaling and grows on demand with your needs, even allowing the simultaneous deployment, which allows for comparison testing in the production environment.
Terraform
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
Configuration files describe to Terraform the components needed to run a single application or your entire datacenter. Terraform generates an execution plan describing what it will do to reach the desired state, and then executes it to build the described infrastructure. As the configuration changes, Terraform is able to determine what changed and create incremental execution plans which can be applied.
The infrastructure Terraform can manage includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc.
Chef
Automate your cloud infrastructure automation with Chef 10 so you can scale reliably and on demand. Capture and instantly reproduce infrastructure across any environment so developers don’t have to recode for portability, saving time and money.
JFrog Artifactory
Heavy duty enterprise capabilities and fine-tuned permission management, woven into a stylish and accessible user interface. Cache remote artifacts and make them accessible with JFrog Artifactory so you can avoid repeated downloads of needed resources.
Grapahana / Prometheus
Gain real-time, visual insights to your AWS infrastructure, security, logging, and compliance status with the industry leader in simplifying telemetry into actionable information.
HealthDatafile provide data to support developers, DBAs and engineers.
This video demonstrates how to create a DevOps CI/CD pipeline in AWS or Azure. The target pipeline fully funcitonal and includes: Jenkins, Chef, SonarQube, Nexus and Gitlab.
Read moreContinuous integration tools like provide a platform from which we can run build, deploy, testing and provisioning jobs
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