Over the last two decades, we’ve progressed through a variety of technologies and methods for delivering software. However, with cloud-native development, we’re seeing a major change that’s completely changed the developer experience.
Software engineers or the DevOps teams are now accountable for more than just writing code. In the microservices era, developers became more involved in the complete lifecycle. The cognitive work got progressively significant with the introduction of tools such as Docker, Jenkins, Terraform, Chef, and many plugins. Today, the cognitive demand has now grown much more.
The developers now not only build and package code, but they also need to deploy the services into production and ensure that the accompanying applications continue to function properly after deployment.
Operational teams have been using control planes that offer relevant abstracts and aggregates to handle complexities in software programs. These control planes offer automated cluster administration (for example, cloud-managed Kubernetes control planes) L7 traffic management (for example, service mesh). It’s high time that developers should start using a control plane.
What is a Developer Control Plane?
A developer control plane (DCP) allows developers to control and customize the whole cloud development loop, which helps them ship their software faster.
You may use a developer control plane (DCP) for faster coding, shipping, and executing your service. Furthermore, because it is based on CNCF (Cloud Native Computing Foundation) projects: Argo, Emissary-Ingress, Envoy Proxy, and Telepresence – it connects with many of the technologies you already use.
Developer Control Plane (DCP) – 3 Components
Cloud-native developers are now in charge of three main components of the cloud-native development stack – Code, Ship, and Run.
Coding services on Kubernetes may be time-consuming. The container-build-push-deploy loop reduces productivity and prevents flow. Establishing a development environment that runs several microservices is time-consuming, and maintaining all of the services, keeping them up to date adds more to work.
Telepresence-powered DCP enables you to build up a quick, local development workflow. Locally code in your preferred IDE and quickly test it against all the distant services as well as datastores. DCP also allows you to establish shared development environments dynamically integrated with the continuous integration workflow. This ensures that the development environment is constantly up to date, even if there are hundreds of microservices changing frequently.
Maintain your code flow using DCP and Telepresence. To be productive, developers must keep the development environment, source control, and continuous integration tools up to date.
It takes a complex interplay between many different program parts to get code changes into production. It’s safer to slowly deliver new features to your consumers than to provide them all at once. Many developers are now in charge of progressive distribution for cloud-native applications.
In Kubernetes, a canary release involves a pattern similar to the following sequence –
- When a pull request merges, a continuous integration process starts.
- The task builds a new image and uploads it to a container registry.
- A second pull request generates to update the Kubernetes specs with the new configuration. The deployment shipment upgrades in this pull request. This highlights the new image version and points to the traffic routing (either the Kubernetes service or ingress) that adjusts to direct traffic to the latest version.
- The pull request merges, and Kubernetes updates with the modifications in the repository.
- There is a surge in the number of visitors to the new edition of the service. This may be done manually by submitting a pull request that updates the manifests or automatically using an orchestration framework.
To ship progressively, developers must keep track of the continuous deployment, manifest management & container management.
Problems still arise in production, no matter how thorough the testing and canary rollouts are. An essential aspect of any process is timely mitigation and reaction to production errors. DCP works with Edge Stack & Emissary-Ingress, providing sophisticated L7 traffic management features, including load balancing, rate limitation, and circuit breaker. These skills are essential for assuring microservices’ availability and scalability.
DCP also gives a uniform, developer-oriented overview of all services. This dashboard view displays critical details about the services, like the owner, source repository location, and more. It allows rapid access to the information needed to resolve a problem if one occurs.
DCP works following current operationally-focused Kubernetes control planes. DCP intends to provide the operational structures required by a developer, such as routing, rate restriction, health screenings, and replicates. At the same time, operations may need to oversee runtime infrastructure to assure its ongoing availability and growth, which may need the usage of a separate operational control plane.
Developers must maintain the config for API management, Kubernetes runtime, and observability.
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Transforming the Cloud Native Development Lifecycle with DCP
The Developer Control Plane (DCP) integrates the development, deployment, and runtime infrastructure required to code, ship, and run services over Kubernetes. This allows developers to take full control of the cloud-native development workflow. The following are some of the advantages:
- More code to write and test – Developers may easily set up a programming environment and code & test locally over remote services and datastores using DCP. Users may also construct shared DevOps to better team cooperation by deploying more code with less upkeep.
- Update production in a secure manner – DCP enables any developer to deliver code upgrades in stages via canary releases. With this strategy, the potential code error reduces.
- Run and track services – Developers may monitor and enhance traffic to the services, ensuring they are available and scalable.
- Assuring the best possible uptime – Discover what services are operating in the settings and gain insight into the workflow’s health with real-time notifications for quick problem response.
- Compatibility with current infrastructure – DCP is compatible with any regular Kubernetes distribution, as well as a variety of observability methods.
Get a DevOps Plus Certification
Developer Control Plane provides developers and teams a single interface for controlling all aspects of the cloud-native development workflow.
Create a DevOps toolchain integrated with observability, automation, and other technologies. Spend less time on manual activities and problem-solving and more time on innovation. A DevOps methodology that is efficient and scalable allows teams to surpass customer expectations and acquire a competitive advantage.
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