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1 Sep
min read

Streamlining Cloud-Native Application Development

Zeet streamlines cloud-native app development across multiple clouds, enhancing efficiency. It supports diverse providers scaling from startups to enterprises.

Jack Dwyer

Platform Engineering + DevOps

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Cloud Native Development

In the bustling digital era, where businesses are racing to optimize their operations, the importance of effective software solutions cannot be understated. However, many organizations grapple with traditional applications that often struggle to harness the full potential of modern cloud platforms. Enter the realm of cloud-native development—a transformative approach promising agility, scalability, and innovation. This article aims to share the core principles behind cloud-native development and application architectures, shedding light on its integral relationship with DevOps practices and detailing the lifecycle of cloud-native applications. We hope to help you gain a clearer blueprint to navigate the cloud-native landscape. And with platforms like Zeet, which is at the forefront of this revolution, taking this leap has never been more accessible or promising.

Principles of Cloud-Native Development

In the ever-evolving landscape of software development, cloud-native application development stands out as a transformative approach that fully harnesses the potential of modern cloud infrastructure. At its heart lie certain core principles that set it apart from traditional applications and dictate how cloud-native apps are conceived, developed, and deployed.

Emphasis on DevOps Practices:

  • The amalgamation of Development (Dev) and Operations (Ops) has redefined the paradigm of software development. DevOps is not just a methodology; it's a culture. DevOps practices play a pivotal role in cloud-native applications, emphasizing continuous integration, continuous delivery, and automation. DevOps ensures rapid, reliable, and scalable software delivery by fostering collaboration between development and operations teams when building cloud-native applications.
  • With tools like Docker for containerization and Kubernetes for container orchestration, DevOps practices have become deeply intertwined with cloud-native development. This alignment allows for seamless transitions between development, testing, and deployment phases, reducing downtime and ensuring on-demand software release cycles.

Lifecycle of Cloud-Native Apps:

  • Conception: Cloud-native application development begins with the identification of modular components, often leveraging microservices architecture. Instead of building monolithic applications, developers conceive apps as a collection of loosely coupled, independently deployable services, sometimes provisioned as modules that can easily be put together in a service mesh. This modular approach aids in scalability and ensures that each microservice can be optimized individually.
  • Development: With an emphasis on open-source frameworks and cloud-native technologies, development teams have a plethora of tools at their disposal. APIs (Application Programming Interfaces) are instrumental in allowing different microservices to communicate and integrate seamlessly. The cloud-native approach also promotes the use of public cloud platforms, such as Amazon's AWS offerings, ensuring applications are designed to be resilient and portable across various cloud providers.
  • Deployment: Provisioning and deployment in a cloud environment mean considering factors like container orchestration, serverless configurations, and underlying infrastructure optimization. With the cloud-native approach, applications are built to run applications anywhere – be it on-premises, in a hybrid cloud, or in purely public cloud settings. Tools like Terraform further simplify the provisioning process, ensuring that workloads are deployed efficiently and effectively.
  • Ongoing Operations: Post-deployment, the focus shifts to monitoring, ensuring runtime resiliency, and introducing new features as required. Cloud services play a significant role here, offering tools and platforms to monitor and optimize the performance of cloud-native apps. With a focus on modernization, there's a constant effort to adapt to changing workloads, migrating services when necessary, and staying updated with the latest in cloud-native technologies and methodologies.

In essence, cloud-native application development is more than just a methodology; it's a comprehensive approach to building scalable, resilient, and modern applications that are optimized for the cloud. By leveraging DevOps practices and understanding the intricate lifecycle of cloud-native apps, organizations can truly take advantage of cloud platforms, ensuring agility, robustness, and continuous innovation for their front-end and backend applications.

Building and Migrating to Cloud-Native Applications

When it comes to adopting a cloud-native approach, businesses often face a pivotal decision: build a new application from the ground up or migrate their existing traditional applications. While rooted in the same principles, the methodologies behind these choices present distinct challenges and considerations.

Building from Scratch: Starting afresh offers the advantage of no legacy constraints. Developers can fully embrace cloud-native technologies, architectures, and best practices right from the onset. This often results in applications that are inherently optimized for cloud platforms and can harness the full suite of cloud services available. However, building anew requires a deep understanding of cloud-native technologies and may demand more significant initial investment in terms of time and resources.

Migrating Traditional Applications: Migration presents its own set of unique challenges. Traditional or monolithic applications might not be designed with the cloud in mind, leading to potential mismatches with cloud-native principles. As such, merely "lifting and shifting" these applications to the cloud may not realize the full benefits of cloud-native development. Migration may involve refactoring parts of the application, adopting container orchestration tools like Kubernetes, or even rearchitecting significant components to align with microservices architecture. This transition demands careful planning, understanding the dependencies, and ensuring minimal disruption to ongoing operations.

The Shift in SRE-to-Developer Ratio and Its Impacts

In earlier software development and cloud infrastructure management phases, businesses commonly maintained a 1:10 SRE-to-developer ratio. One Site Reliability Engineer (SRE) would manage and ensure the reliability for every ten developers at work. Though once effective, this structure now shows its age, especially as cloud-native applications and DevOps methodologies have transformed the digital realm. Drawbacks include increased infrastructure bottlenecks, delays in addressing issues, and an overwhelmed SRE, slowing the pace of innovation.

However, with the dawn of modern cloud-native technologies and platforms, there's a notable transition towards a leaner 1:50 SRE-to-developer ratio. This lean model capitalizes on benefits like swifter DevOps workflows, optimized container orchestration, and heightened operational efficiency. With the right tools, an SRE can proficiently manage a more extensive group of developers, databases (no more on-premise data centers!), cloud infrastructure services, and more. Automation plays a pivotal role here, efficiently dealing with the intricacies of cloud-native architectures and underlying infrastructure.

This isn't just a trend—it's a transformative approach that paves the way for a smoother, more efficient software development lifecycle. Organizations like the CNCD (the Cloud Native Computing Foundation) and Platforms like Zeet are tracking this shift and leading it, offering businesses the tools and frameworks to easily align with this new, more efficient ratio.

Navigating Cloud-Native Development with Zeet

Unified Dashboard: The Power of Integration

Navigating the world of cloud-native applications across multi-cloud infrastructures can seem like a jigsaw puzzle. Zeet's Unified Dashboard is the solution. It offers businesses an integrated lens to view and manage their cloud services, microservices, and underlying infrastructure. A centralized hub that epitomizes the advantage of cloud integration, the dashboard ensures that managing workloads, dependencies, and cloud-native architecture becomes feasible, intuitive, and efficient.

Seamless Deployment: Bridging Developers and Platform Engineers

In the realm of cloud-native app development, deployment can be a bottleneck. Zeet recognizes the nuances, bridging the gap between developers, DevOps, and platform engineers. Embracing methodologies like continuous integration and container orchestration, Zeet streamlines the deployment lifecycle. Whether you're migrating traditional applications or rolling out new cloud-native apps, Zeet ensures precision, portability, and collaboration, regardless of scale.

Flexible Templates: Unlocking Potential While Saving Resources

Zeet isn’t just about deploying cloud-native technologies but optimizing every step. With Zeet’s deployable templates, businesses find a tailored approach to their cloud-native application development. These templates, designed with Kubernetes, serverless setups, and microservices architecture in mind, offer a resilient and adaptable foundation. They exemplify the cloud-native approach, facilitating rapid software development while optimizing resources.

Forging Ahead in the Cloud-Native Journey with Zeet

The next step is clear for organizations keen on staying ahead of the curve. Dive into the Zeet marketplace and explore a rich repository of blueprints crafted for various cloud-based teams, that work across cloud providers. Each blueprint is a testament to Zeet's commitment to accelerating cloud-native deployments, ensuring cloud-based businesses remain poised for success in an ever-evolving digital horizon. Embark on your cloud-native journey with Zeet, deploying your next batch of apps, microservices, and infrastructure in a way that’s robust, scalable, and continuously improving.

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