Cloud Native Development

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Summary

Cloud-native development is an approach to building applications that are designed to run efficiently on cloud platforms, using modern practices like containers, microservices, and continuous deployment. This style of development makes it easier to scale, update, and manage software in today's fast-changing technology landscape.

  • Master key technologies: Focus your learning on containers, microservices, and infrastructure-as-code to build a solid foundation for cloud-native projects.
  • Automate workflows: Set up CI/CD pipelines to speed up testing and deployments, making your development cycle faster and more reliable.
  • Stay adaptable: Keep up with emerging cloud-native trends by engaging with community resources and continuously building new skills for future growth.
Summarized by AI based on LinkedIn member posts
  • View profile for Brij kishore Pandey
    Brij kishore Pandey Brij kishore Pandey is an Influencer

    AI Architect | Strategist | Generative AI | Agentic AI

    690,661 followers

    As cloud-native technologies mature, the landscape is rapidly evolving. Let's explore the emerging trends and advanced concepts that are shaping the future of cloud computing. Next-Gen Cloud-Native Concepts: 1. 𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴    - Bringing computation closer to data sources    - Reduces latency, enhances real-time processing    - Key for IoT, AR/VR, and 5G applications 2. 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀    - Combines benefits of serverless and containerization    - Examples: AWS Fargate, Azure Container Instances    - Simplifies operations while maintaining container flexibility 3. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗠𝗲𝘀𝗵    - Advanced network communication layer for microservices    - Improves security, observability, and traffic management    - Popular tools: Istio, Linkerd, Consul 4. 𝗚𝗶𝘁𝗢𝗽𝘀    - Infrastructure-as-Code taken to the next level    - Uses Git as a single source of truth for declarative infrastructure    - Enhances collaboration, versioning, and auditing 5. 𝗙𝗶𝗻𝗢𝗽𝘀    - Brings financial accountability to cloud spend    - Optimizes resources across business, finance, and tech teams    - Critical for managing costs in complex cloud environments 6. 𝗔𝗜𝗢𝗽𝘀    - Applies AI to IT operations    - Enhances anomaly detection, predictive maintenance    - Automates routine tasks, improves system reliability 7. 𝗖𝗵𝗮𝗼𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴    - Intentionally injecting failures to improve resilience    - Identifies weaknesses in distributed systems    - Tools like Chaos Monkey help build more robust applications 8. 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 (𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀)    - Shift-left approach to security in CI/CD pipelines    - Emphasizes automated security testing and compliance checks    - Examples: Snyk, Aqua Security, Twistlock Why These Matter: - Push the boundaries of performance and efficiency - Address emerging challenges in distributed systems - Enhance automation and reduce operational overhead - Prepare for next-generation applications and use cases Staying ahead in cloud-native development means not just mastering current technologies, but also anticipating and adapting to these emerging trends. Which of these concepts excites you the most? How do you see them impacting your current or future projects?

  • View profile for Vishakha Sadhwani

    Sr. Solutions Architect at Nvidia | Ex-Google, AWS | 100k+ Linkedin | EB1-A Recipient | Follow to explore your career path in Cloud | DevOps | *Opinions.. my own*

    120,560 followers

    If you want to break into Cloud in 2025 - start by building these 3 real-world, cloud-native projects from the ground up. (also one GitHub repo you should definitely bookmark ) Most people sign up for free credits from cloud providers… but it's crucial to put them to meaningful use. Here’s your chance to stand out. 1. Full-Stack AWS CI/CD Pipeline Key components: → Infrastructure with Terraform (EC2, VPC, ECR) → Containerized applications with Docker → Automated deployments via GitHub Actions → EC2/Elastic Beanstalk deployment patterns → ECR integration + CloudWatch monitoring Tutorial Link: https://lnkd.in/d_5iFvqi Why this works: It shows the complete DevOps lifecycle - from infrastructure to monitoring. That's exactly what hiring managers look for. ------- 2. Kubernetes Delivery Pipeline on GCP Core elements: → Node.js/React application architecture → Container registry management (GCR) → GCP infrastructure with Terraform → GKE deployment patterns → GitHub Actions automation → Helm/kubectl orchestration Tutorial Link: https://lnkd.in/d3DN_dXS Why this works: You're showcasing containerized app deployment on managed Kubernetes - using enterprise-grade tools and patterns. ------- 3. Modern IaC with Pulumi (Azure/GCP) Project highlights: → Infrastructure as Code using Pulumi + JavaScript → CI/CD automation with GitHub Actions → Modern app deployment (React.js/Node.js) → Container orchestration with Kubernetes → Cloud-native service integration Tutorial Link: https://lnkd.in/dpFVjgSS Why this works: Pulumi demonstrates advanced IaC with actual programming logic - not just static YAML. That's what separates senior engineers from beginners. ------- Github Link with more such projects: https://lnkd.in/dh7WhvGU The Bottom Line, focus on: → Cloud-native architectural thinking → End-to-end deployment automation → Real-world GitOps & containerization → Production-ready operational skills Build projects that prove you understand how to deliver, deploy, and operate in cloud environments. • • • Found this useful? 🔔 Follow me (Vishakha Sadhwani) for more Cloud & DevOps insights ♻️ Share so others can learn as well

  • View profile for Ashish Joshi

    Director @ UBS - Data, Analytics, Machine Learning & AI | Driving Scalable Data Platforms to Accelerate Growth, Optimize Costs & Deliver Future-Ready Enterprise Solutions | LinkedIn Top 2% Content Creator

    36,839 followers

     Cloud-Native Skills Roadmap In today's fast-paced tech landscape, cloud-native expertise isn't just a bonus - it's a game-changer. Here's why embracing cloud-native skills can supercharge your career: 🔹 Scalability: Seamlessly scale to meet increasing demands.   🔹 Security: Leverage built-in security best practices for robust data protection.   🔹 Flexibility: Optimize costs by tailoring resources to your specific needs.   🔹 Agility: Accelerate deployments and updates for faster innovation.   🔹 Resilience: Ensure high availability and disaster recovery with cloud-native architectures. Key Cloud-Native Skills to Master: 1. Containerization (Docker, Kubernetes):      - Achieve consistent application performance across different environments.     2. Infrastructure as Code (Terraform, CloudFormation):      - Automate and manage infrastructure efficiently, enabling rapid provisioning and version control.     3. CI/CD Pipelines (Jenkins, GitLab CI, GitHub Actions):      - Streamline software delivery with automated testing, integration, and deployment processes.     4. Observability & Monitoring (Prometheus, Grafana):      - Gain deep insights into application performance and system health, enabling proactive issue resolution.     5. Cloud Security:      - Implement comprehensive security measures to safeguard cloud-native applications from vulnerabilities.     6. Serverless Computing (AWS Lambda, Azure Functions):      - Focus on building applications while the cloud provider handles the infrastructure, scaling, and management.     7. Microservices Architecture:      - Design and manage scalable, loosely coupled services that enhance maintainability and deployment flexibility.     8. Cloud Databases (Amazon DynamoDB, Google Cloud Spanner):      - Utilize managed database services for superior scalability, performance, and reliability.     9. Service Mesh (Istio, Linkerd):      - Enhance microservices communication with built-in security, load balancing, and observability.     10. Multi-Cloud Strategy:      - Develop the ability to operate across multiple cloud platforms, ensuring flexibility and vendor independence. Mastering these cloud-native skills not only boosts your technical prowess but also positions you as a leader in cloud engineering, DevOps, and platform development. The future of tech is cloud-native - are you ready to take the leap? Follow Ashish Joshi for more insights

  • View profile for Vasu Maganti

    𝗖𝗘𝗢 @ Zelarsoft | Driving Profitability and Innovation Through Technology | Cloud Native Infrastructure and Product Development Expert | Proven Track Record in Tech Transformation and Growth

    23,320 followers

    Building a cloud-native stack? Here’s what you need to know first. ⬇️ The CNCF landscape can feel like a maze. With so many tools, it’s easy to get lost. But there’s a way to make smart choices without getting overwhelmed. Here’s how to approach it: 𝟭. 𝗖𝗵𝗲𝗰𝗸 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝘆 Stability matters. Mature projects, especially those in the CNCF graduation or incubation stages, are more reliable. Active communities with regular updates indicate that a project is well-supported and evolving. 𝟮. 𝗔𝗹𝗶𝗴𝗻 𝗧𝗼𝗼𝗹𝘀 𝘄𝗶𝘁𝗵 𝗬𝗼𝘂𝗿 𝗡𝗲𝗲𝗱𝘀 Ignore the hype. Focus on what actually moves the needle for your organization. Define your needs clearly and pick tools that fit. This approach saves time and avoids tech bloat. 𝟯. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗢𝘃𝗲𝗿𝗹𝗮𝗽𝘀 & 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗙𝗶𝘁 Overlapping tools aren’t always bad. Sometimes, they’re an advantage. But if they cause confusion, move on. Seek tools that complement each other and strengthen your stack. 𝟰. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 & 𝗩𝗲𝗻𝗱𝗼𝗿 𝗡𝗲𝘂𝘁𝗿𝗮𝗹𝗶𝘁𝘆 Stick with tools that align with your team’s expertise. It’s efficient and reduces friction. Vendor-neutral tools give you flexibility and future-proof your stack against sudden shifts. 𝟱. 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗚𝗼𝗼𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 & 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 Solid documentation and active support can’t be underestimated. A well-documented project is easier to work with and maintain, saving you headaches down the road. 𝟲. 𝗦𝘁𝗮𝘆 𝗨𝗽𝗱𝗮𝘁𝗲𝗱 & 𝗜𝗻𝘃𝗼𝗹𝘃𝗲𝗱 Things change quickly in the cloud-native world. Subscribe to updates, attend events, and get involved in project communities. Staying informed helps you adapt and stay ahead. 𝟳. 𝗣𝗹𝗮𝗻 𝗳𝗼𝗿 𝗟𝗼𝗻𝗴-𝗧𝗲𝗿𝗺 𝗩𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Every tool should align with your long-term goals. Look at the project’s roadmap and always have a backup plan. You don’t want to be blindsided if a project you depend on loses support. 𝟴. 𝗨𝘀𝗲 & 𝗧𝗲𝘀𝘁 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 CI/CD pipelines are crucial for cloud-native systems. They streamline deployments and allow you to test new tools safely before full rollout. For more details, check out the full PDF. Link in the comments. 👇 It maps out the CNCF landscape and will help you make better decisions. Need help navigating the CNFC landscape? Let’s secure and innovate your cloud-native journey. 📤 Send me a DM. #CloudNative #TechTools #DevOps #Kubernetes #OpenSource Stay ahead of the technology curve. 𝗙𝗼𝗹𝗹𝗼𝘄 for weekly insights.

  • View profile for Usman Asif

    Access 2000+ software engineers in your time zone | Founder & CEO at Devsinc

    207,379 followers

    From Legacy Systems to Cloud-Native: Navigating the Shift I recall a pivotal moment during a client meeting in 2023. The CIO of a longstanding financial institution expressed frustration over sluggish system updates and limited scalability. Their legacy infrastructure, once a cornerstone of reliability, had become a bottleneck in an era demanding agility. This scenario is not unique. Many organizations are at a crossroads, balancing the familiarity of legacy systems with the transformative potential of cloud-native architectures. As of 2025, the shift to cloud-native computing has accelerated dramatically. Organizations increasingly adopt microservices, containers, and serverless architectures to enhance scalability and resilience. This transition is not merely a trend but a response to the limitations of monolithic systems. Monolithic architectures, while robust, often struggle to meet the demands of modern applications requiring rapid deployment and scalability. In contrast, cloud-native approaches enable organizations to build and run scalable applications in dynamic environments, such as public, private, and hybrid clouds. Embracing Cloud-Native Technologies At Devsinc, we've embraced cloud-native technologies to stay ahead of the curve. By decomposing applications into microservices, we've achieved greater modularity, allowing for independent development and deployment. This has led to improved scalability and resilience, as each service can be scaled independently to meet demand. Additionally, integrating containers ensures consistent environments across development, testing, and production, streamlining deployment processes. Guiding the Transition For organizations contemplating this shift, the journey begins with a cultural transformation. It's essential to foster a mindset that embraces change and continuous learning. Investing in upskilling teams to work with cloud-native tools is crucial. Moreover, adopting DevOps practices bridges the gap between development and operations, promoting collaboration and efficiency. Inspiring the Next Generation To the new IT graduates entering this evolving landscape: your adaptability is your greatest asset. The technologies you master today may evolve tomorrow. Embrace continuous learning and be ready to navigate and lead in this dynamic environment. A Collaborative Effort For global CTOs and CIOs, leading this transformation requires vision and empathy. Understand that this shift impacts not just technology but also people and processes. Collaborate with teams, address concerns, and celebrate incremental successes. Transitioning from legacy systems to cloud-native architectures is a complex yet rewarding endeavor. It demands technical acumen, strategic planning, and, above all, a culture that champions innovation and resilience. At Devsinc, we've witnessed the benefits of this transformation and stand ready to guide others on this journey.

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