Blog Discussion
system at August 9th, 2018 12:11 — #1
To develop a traditional web application, you stood up a collection of services and resources locally that attempted to emulate the production environment as nearly as possible. This meant installing, configuring, provisioning, and securing web servers, application servers, mail servers, database servers and databases, in-memory data structure stores, and so on, typically on a physical machine, such as a laptop or desktop. All this before writing a line of application code! Later, servers, databases, services and applications would be hosted elsewhere, typically offsite. Then, either you managed it yourself, remotely perhaps, or your overworked but heroically cheerful system administrator lent a hand. Or maybe you’d farm it out to a service provider. Your life was complicated, sure. But the development process itself was familiar, reasonably well understood, and Google had answers for everything; sample code so shiny you could groom yourself in its reflection; and life was good, simple and clean. In a nutshell, the development process had three essential steps:
This is a companion discussion topic for the original entry at http://developer.onepagecrm.com/blog/2018/08/09/developing-microservices-in-the-cloud-for-the-cloud/
butcher at January 14th, 2025 08:00 — #7
In the past, developing a traditional web application required setting up a local environment that mimicked production as closely as possible. This involved configuring a range of services, including web servers, databases, and application servers, often on a physical machine like a desktop or laptop. Afterward, these components would be hosted remotely, either managed personally, with the help of a dedicated system administrator, or outsourced to a service provider. While this process was time-consuming and complex, it was well-documented, with ample resources and sample code available to streamline development. However, as web development evolved, many businesses began partnering with a web development company to leverage their expertise, reducing the burden of setup, management, and deployment, and enabling developers to focus more on creating robust applications.
kamaldeeppareek at May 23rd, 2025 06:24 — #8
In the past, building web apps meant replicating the production environment locally—setting up servers, databases, and security from scratch. Though complex, it was a familiar and well-documented process. Today, cloud-native microservices simplify this with scalable, managed infrastructure. Businesses increasingly partner with web development experts to streamline this transition, focusing on rapid, reliable app delivery. By offloading setup and maintenance, developers can concentrate on innovation. If you're looking to modernize your mobile strategy, it’s wise to hire Android developers skilled in cloud-native tools to ensure high-performance, scalable apps tailored to evolving business needs.
smithdaniel at June 1st, 2025 22:51 — #10
Great topic! Developing microservices in the cloud for the cloud offers incredible flexibility, scalability, and resilience. It’s the backbone of modern cloud-native applications. If you're planning to build or scale your architecture, working with an experienced Cloud App Development Company can ensure your services are optimized for performance and cost-efficiency.
niketansharma at June 3rd, 2025 02:26 — #11
Absolutely agree with the article's key point—developing in the cloud for the cloud is a paradigm shift from the traditional setup. Gone are the days when we had to replicate full-stack environments locally. With modern cloud-native development, we now lean heavily on containerization, managed services, and serverless architectures that let app developers focus more on writing business logic rather than managing infrastructure.
Services like AWS Cloud9, GitHub Codespaces, or even remote Docker setups allow teams to spin up consistent dev environments in minutes. Combine that with CI/CD pipelines, Infrastructure as Code (IaC), and robust observability tools, and you have a development process that’s agile, scalable, and production-aligned from day one.
It’s not just about writing microservices anymore—it’s about thinking cloud-first: ephemeral environments, stateless components, and resilience built into the architecture itself. Development has become faster, cleaner, and better integrated with deployment pipelines.
Curious to hear how others are handling local testing for distributed microservices without getting bogged down. Are you mocking services, using lightweight test environments, or something else?
jitenp at July 18th, 2025 07:19 — #12
Developing microservices in the cloud is only half the strategy — the real advantage comes when you design microservices for the cloud. This means building with cloud-native principles from the ground up, not just deploying containerized apps on a cloud VM.
Here’s what truly differentiates “for the cloud” microservice development:
Stateless Design and Scalability
Cloud-native microservices are stateless, making it easier to scale horizontally. Services like AWS ECS/EKS, Azure AKS, or GKE work best when services can be terminated or restarted without data loss. Externalize session storage using Redis or cloud databases.
Built-in Observability
You can’t fix what you can’t see. When developing for the cloud, integrate centralized logging (e.g., ELK, Fluentd) and monitoring (e.g., Prometheus + Grafana) from day one. This supports faster debugging and proactive performance tuning.
Resilience and Fault Tolerance
Design for failure. Use circuit breakers, retries, and timeouts (Hystrix, Resilience4j) so one failed service doesn’t bring down the whole app. Cloud environments are dynamic — your services need to handle transient faults gracefully.
API Gateway and Service Mesh Integration
When building for the cloud, plan for API management (e.g., Kong, Amazon API Gateway) and service mesh layers (Istio/Linkerd) to enable service discovery, traffic control, and security.
CI/CD Pipelines + GitOps
Modern cloud-native DevOps demands automated deployments. CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) and GitOps tools like Argo CD or Flux ensure safe, repeatable rollouts of your microservices across environments.
If you're exploring this practically, the best way to learn is through hands-on DevOps implementation. We cover all of these concepts, including GitOps, Docker, Kubernetes, and microservices architecture in our job-ready DevOps training in Pune.
- Cloud-Native Storage & Messaging
Use cloud-native services for state and communication:
AWS S3, DynamoDB / GCP Firestore for storage
Kafka, SQS, or Pub/Sub for async messaging
These services scale seamlessly and reduce operational overhead.
Final Thoughts
Cloud-native microservices aren't just about technology — they're about architecture, observability, automation, and cloud alignment. If you're developing in the cloud without adapting to cloud-first patterns, you're likely underutilizing its full potential.
For a complete, project-based approach to modern microservices and DevOps, I highly recommend this it bridges the gap between cloud theory and real deployment practices.
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