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Future Trends in Platform Engineering: What's on the Horizon?

Software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery.

By Jacelyn SiaPublished 9 months ago 4 min read
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Image credit : freepik.com

Platform Engineering is an evolutionary approach to the practice of DevOps, aiming to create a solid foundation for software development and deployment processes. It involves the creation and management of a platform that provides a consistent and scalable environment for developers, operations teams, and other stakeholders. This platform facilitates the automation, monitoring, and collaboration needed to streamline software development and delivery, leading to increased efficiency and reduced risk.

Here are some Future trends of Platform Engineering:

1. Microservices Architecture:

One of the most significant trends in platform engineering is the adoption of microservices architecture. This approach involves breaking down applications into small, loosely coupled services that can be developed, deployed, and scaled independently. Microservices offer greater flexibility, scalability, and fault tolerance compared to monolithic architectures.

2. Cloud-Native Development:

With the increasing popularity of cloud computing, platform engineers are shifting towards cloud-native development. This involves designing applications specifically for the cloud environment, leveraging its scalability and resilience. Cloud-native development also promotes the use of containerization technologies like Docker and Kubernetes for improved deployment efficiency.

3. DevOps and Site Reliability Engineering (SRE):

The integration of development and operations teams through DevOps practices has been gaining traction in recent years. Platform engineers are expected to have a deep understanding of these principles to streamline software delivery and improve operational efficiency. Additionally, Site Reliability Engineering (SRE) practices emphasize the importance of reliability, scalability, and performance in platform engineering.

4. Serverless Computing:

Serverless computing is a paradigm where developers focus on writing code without worrying about server management or infrastructure provisioning. This trend allows platform engineers to build scalable and event-driven applications using services like AWS Lambda or Google Cloud Functions. Serverless architectures offer cost-efficiency, auto-scaling capabilities, and reduced operational overhead.

5. Artificial Intelligence (AI) and Machine Learning (ML):

The integration of AI and ML technologies into platform engineering is another significant trend for the future. AI-driven automation can help optimize operational processes, improve system performance, and enhance user experiences. Platform engineers with expertise in AI and ML will be in high demand as organizations seek to leverage these technologies for competitive advantage.

Image credit : freepik.com

6. Edge Computing:

As the Internet of Things (IoT) continues to grow, edge computing is becoming increasingly important. Edge computing involves processing data closer to its source rather than sending it to centralize servers in the cloud. Platform engineers will need to develop strategies for managing distributed systems efficiently and securely to support edge computing applications.

7. Low-Code/No-Code Development:

Another trend that is gaining momentum is low-code/no-code development platforms. These platforms enable non-technical users to build applications with minimal coding knowledge or experience. Platform engineers will need to adapt their skills to support these platforms and ensure their integration with existing systems.

Here are some key aspects of the evolutionary journey of DevOps through Platform Engineering:

1. Automation and Continuous Integration/Continuous Deployment (CI/CD): Platform Engineering emphasizes the automation of repetitive tasks and the integration of code changes continuously. By doing so, developers can focus on writing code and shipping features without being bogged down by manual deployment processes. CI/CD pipelines ensure that code is consistently tested and deployed in a controlled manner, reducing the chances of errors and accelerating the time-to-market for new features.

2. Infrastructure as Code (IaC): Platform Engineering leverages Infrastructure as Code principles to manage infrastructure in a programmatic and version-controlled way. This enables the easy replication of environments and ensures consistency across development, testing, and production setups.

3. Containerization and Orchestration: Platforms often utilize container technologies like Docker to package applications and their dependencies. Container orchestration tools like Kubernetes are used to manage and scale containers efficiently, making it easier to handle complex, distributed systems.

4. Self-Service Capabilities: Platform Engineering provides self-service capabilities to development teams, allowing them to request resources, deploy applications, and monitor performance independently. This self-service model fosters collaboration and empowers teams to innovate and iterate rapidly.

5. Observability and Monitoring: Platform Engineering emphasizes the importance of monitoring and observability, making it easier to track system performance, identify bottlenecks, and respond to incidents proactively. Logging, metrics, and tracing are some of the tools used to achieve comprehensive observability.

6. Security and Compliance: Security is built into the platform from the ground up, following best practices such as identity and access management, encryption, and regular security assessments. Compliance requirements are also taken into account, ensuring that the platform adheres to relevant regulations and industry standards.

7. Culture and Collaboration: Platform Engineering fosters a culture of collaboration between development and operations teams. Communication is improved, and knowledge-sharing becomes more accessible, leading to better cross-functional understanding and overall performance.

In conclusion, platform engineering is an ever-evolving field, and staying ahead of the curve is crucial for success. By keeping up with these trends and continuously expanding their skillsets, platform engineers can drive innovation and deliver robust solutions in an ever-changing technological landscape.

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About the Creator

Jacelyn Sia

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