The [cloud native paradigm](https://konghq.com/blog/learning-center/what-is-cloud-native)cloud native paradigm for application development has evolved significantly since its inception. Today, it encompasses microservices architecture, containerized services, automation, orchestration, distributed management, and emerging technologies like serverless computing and edge computing. As we move further into 2024, many companies are well into their cloud native journey, with varying degrees of success. To thrive in developing cloud native applications, it's crucial to craft and implement the right strategy. Let's examine eight important elements that must be part of a viable [cloud native development strategy](https://konghq.com/resources/e-book/is-your-new-app-a-candidate-for-cloud-native-development)cloud native development strategy in today's rapidly evolving technological landscape.

## 1. Map Out The Transition to Cloud Native

The first step in a successful transformation remains making a comprehensive plan. Many organizations still stumble by beginning with the technology rather than strategy. While new technology can be exciting, it can also be overwhelming, especially given the rapid pace of innovation in cloud computing.

At the outset, it's critical to involve your leadership, partners, and customers. Present your findings and high-level plans, ensuring alignment with business objectives. Assemble a cross-functional team and work together to divide your cloud native journey into phases. Then, break these phases into development projects, sprints, and actions. Set clear expectations, frequently collect feedback, and be prepared to pivot as needed.

Additionally, consider the following modern aspects when planning:

• - Assess your organization's cloud maturity level
• - Identify skills gaps and plan for upskilling or hiring
• - Evaluate and select appropriate cloud providers and tools
• - Plan for multi-cloud or hybrid cloud scenarios
• - Consider compliance and security requirements from the start

Resist the temptation to pursue the technology before you align your business mission, vision, and people with your cloud native aspirations.

## 2. Move Away From Silos and Adopt DevOps and SRE Practices

Despite the prevalence of agile methodology, application development is still commonly organized into silos. However, the trend is shifting towards more integrated approaches. DevOps has become a standard practice, and many organizations are now adopting Site Reliability Engineering (SRE) principles as well.

DevOps aims to break silos open and build a common vocabulary, shared toolsets, and broader channels of communication. The goal is to cultivate a culture that intensely focuses on frequent releases of high-quality deliverables and a balanced approach that can allocate resources based on a sustainable and scalable development process.

SRE, on the other hand, applies software engineering principles to infrastructure and operations problems. It focuses on creating scalable and highly reliable software systems, complementing DevOps practices.

To truly embrace cloud native development:

• - Implement DevOps practices across your organization
• - Adopt SRE principles to enhance reliability and scalability
• - Foster a culture of collaboration and shared responsibility
• - [Invest in automation tools for CI/CD, monitoring, and incident response](https://konghq.com/company/press-room/press-release/kong-unveils-first-cloud-native-api-platform-built-devops-driven-automation-across-hybrid-environments)Invest in automation tools for CI/CD, monitoring, and incident response
• - Encourage cross-skilling and T-shaped skill development among team members

## 3. Embrace Continuous Delivery and GitOps

While many teams have adopted some form of agile methodology, true continuous delivery (CD) is essential for cloud native development. CD enables teams to automatically deploy application changes several times a day, ensuring rapid iteration and feedback.

To achieve this, organizations need to build robust product development pipelines that automate code integration, testing, and deployment. A mature, productive CD pipeline leaves the team with only one decision to make at the end of the day: Does it make good business sense to deploy the scalable applications with all of the new changes?

GitOps, an evolution of DevOps, is gaining traction in cloud native environments. It uses Git as a single source of truth for declarative infrastructure and applications. GitOps:

• - Enhances traceability and auditability of changes
• - Simplifies rollbacks and disaster recovery
• - Improves collaboration between developers and operations teams

To modernize your delivery approach:

• - Implement robust CI/CD pipelines
• - Adopt GitOps practices for infrastructure and application management
• - Automate testing, including unit, integration, and end-to-end tests
• - Implement feature flags for safer deployments and A/B testing
• - Utilize canary releases and blue-green deployments for risk mitigation

## 4. Decompose Your Monolith

Breaking down monolithic applications remains a crucial step in cloud native adoption. Monoliths are often incompatible with cloud computing expectations for an ephemeral and elastic infrastructure. To leverage cloud-computing assets and benefits effectively, it's necessary to decompose monolithic applications into smaller, more manageable components.

Modern approaches to monolith decomposition include:

• - Strangler Fig Pattern: Gradually replacing specific functionalities of the monolith with microservices
• - Domain-Driven Design (DDD): Using bounded contexts to identify natural service boundaries
• - Event-Driven Architecture: Leveraging events and message queues to decouple components
• - API Gateway Pattern: Using an API gateway to route requests to appropriate microservices

When decomposing your monolith:

• - Start with less critical, loosely coupled components
• - Implement a robust service discovery mechanism
• - Design for failure and implement circuit breakers
• - Consider using a service mesh for advanced networking capabilities

## 5. Design a Collection of Services

Cloud native architectures are commonly implemented as a collection of microservices. These services should be independently deployable, scalable, and maintainable. While the concepts are well understood, many developers still struggle with creating truly loosely-coupled services.

To effectively design cloud native services:

• - Apply the Single Responsibility Principle to service design
• - Implement asynchronous communication patterns where appropriate
• - Use event-driven architectures to improve scalability and responsiveness
• - Design services with observability in mind (logging, metrics, tracing)
• - Implement robust API versioning strategies
• - Consider adopting a service mesh for advanced service-to-service communication features

## 6. Decouple and Decompose the Data

Data decoupling remains a critical aspect of cloud native architectures. A monolithic database can become a bottleneck and hinder the benefits of microservices. To fully embrace cloud native principles, it's essential to decompose the data along with the application.

Modern approaches to data management in cloud native environments include:

• - Polyglot Persistence: Using different database technologies for different services based on their specific needs
• - Command Query Responsibility Segregation (CQRS): Separating read and write operations for improved performance and scalability
• - Event Sourcing: Storing the state of the application as a sequence of events
• - Data Lake and Data Mesh architectures for big data scenarios

When decoupling data:

• - Identify data ownership boundaries aligned with service boundaries
• - Implement data replication and synchronization strategies
• - Use change data capture (CDC) for real-time data integration
• - Consider using a distributed cache for improved performance
• - Implement proper data governance and security measures

## 7. Embrace Serverless and Function-as-a-Service (FaaS)

Serverless computing and Function-as-a-Service (FaaS) platforms have gained significant traction in cloud native architectures. These technologies allow developers to focus on writing code without worrying about the underlying infrastructure.

Benefits of serverless and FaaS include:

• - Reduced operational overhead
• - Improved scalability and cost-efficiency
• - Faster time-to-market for new features

To leverage serverless effectively:

• - Identify suitable use cases (e.g., event-driven processes, batch processing)
• - Design functions with statelessness and idempotency in mind
• - Implement proper error handling and retries
• - Use serverless frameworks for easier development and deployment
• - Monitor and optimize function performance and cost

## 8. Implement Cloud Native Security Practices

As cloud native architectures become more complex, security becomes increasingly important. Traditional security approaches are often insufficient for the dynamic nature of cloud native environments.

Key cloud native security practices include:

• - Shift-left security: Integrating security practices early in the development lifecycle
• - Zero Trust Architecture: Assuming no trust and verifying every access request
• - Immutable Infrastructure: Treating infrastructure as disposable and frequently replacing it
• - Container Security: Implementing secure container images, runtime protection, and vulnerability scanning
• - Secrets Management: Using dedicated solutions for managing and rotating secrets
• - Compliance as Code: Automating compliance checks and remediations

To enhance your cloud native security:

• - Implement a comprehensive Identity and Access Management (IAM) strategy
• - Use service meshes for fine-grained access control and encryption
• - Regularly conduct security audits and penetration testing
• - Implement robust logging and monitoring for security events
• - Foster a security-conscious culture across the organization

#### Conclusion

Cloud native application development continues to evolve, requiring ongoing investment in new technologies, practices, and ways of thinking. While many conventional concepts remain important, including good design and automated testing, the emphasis on [service architecture, data decoupling, and modern practices like serverless computing](https://konghq.com/resources/videos/the-state-of-cloud-native-software-service-mesh-serverless-and-more)service architecture, data decoupling, and modern practices like serverless computing and GitOps has become crucial.

Embracing these elements in your cloud native strategy will lead to more efficient, scalable, and resilient applications. The initial investment in time and resources will be rewarded with long-term gains in efficiency, agility, and innovation capacity. As cloud native technologies continue to mature, organizations that successfully implement these strategies will be well-positioned to thrive in the rapidly changing digital landscape.