---
title: Copy of The Typical Cloud Development Lifecycle
type: newsletter
date: 2024-02-27
source: linkedin
summary: "CloudScope: Cloud Essentials Dive into cloud computing with our second newsletter, tailored for beginners and intermediate levels Welcome to our Cloud Scope series, where we explore the essentials of cloud computing. This guide outlines the critical steps for…"
newsletter: Technology Bytes
draft: false
---

### CloudScope: Cloud Essentials Dive into cloud computing with our second newsletter, tailored for beginners and intermediate levels

![](https://media.licdn.com/mediaD4D12AQHn4whGzJoNjw)

Welcome to our Cloud Scope series, where we explore the essentials of cloud computing. This guide outlines the critical steps for building a cloud-based application, applicable across various cloud platforms. Whether you're new to cloud computing or considering migrating existing applications, this journey from inception to deployment offers valuable insights.

Let's walk through the typical process:

**Step 1: Setup Billing And Create Cloud Project** The first step is to register with your chosen cloud provider and establish your billing structure for the project. Next, you'll create a cloud project, which acts as the fundamental container for organizing all your cloud resources. Keep in mind that different cloud providers use their own terminology for this concept (for example, Google Cloud projects, AWS Organizations, or Azure subscriptions).

**Step 2: Give Required Permissions To Project** It's crucial to define granular user permissions within your project. This involves determining roles ranging from broad administrative access to highly specialized permissions for individual services. To manage this centrally, you'll utilize your cloud provider's Identity and Access Management (IAM) solution – examples include Google Cloud IAM, AWS IAM, and Azure RBAC.

**Step 3: Choose Regions And Create Virtual Private Cloud (VPC) For Your Environments** Strategically select the regions where you'll deploy your workloads. Factors to consider include latency requirements (how close your application needs to be to end-users), data sovereignty regulations, potential cost variations across regions, and even sustainability goals (as some regions prioritize renewable energy sources). Within these regions, you'll then create Virtual Private Clouds (VPCs) to establish isolated network spaces tailored to your development, staging, and production environments.

**Step 4: Determine What Cloud Services To Use Based On Your Requirements** Carefully evaluate your compute options, including standard Virtual Machines (with varying compute/memory configurations), container-based solutions, and even serverless offerings. Additionally, you'll explore the array of managed database services available to find the best fit for your data storage needs. While making these choices, it's wise to think ahead and consider how your selections might impact portability if you envision a potential multi-cloud deployment in the future.

**Step 5: Design And Develop Cloud Applications** Consider structuring your applications as loosely coupled microservices. This allows for scalability and independent deployment, ideally packaged as containers for maximum portability. Design well-defined APIs to facilitate communication between these services. If you anticipate potential future multi-cloud needs, it's wise to factor this into your design from the start, opting for cloud-agnostic solutions whenever feasible.

**Step 6: Automation And CI/CD** Automate your application integration and deployment pipelines across your various environments (development, staging, production). You can utilize standardized tools like Jenkins or take advantage of cloud-native offerings for your CI/CD processes. A cloud comparison tool can help you explore the DevOps solutions specific to each provider.

**Step 7: Logging, Monitoring, And Backups** Centralize your logging whenever possible by leveraging the cloud-native logging services provided by your chosen platform (like Google Cloud Logging or Amazon CloudWatch Logs). For resources that don't automatically log to a central environment, you'll need to configure logging agents. Implement continuous monitoring to keep tabs on application and infrastructure health. Establish automated backups for databases, VM snapshots, or other essential data, ensuring your retention periods align with any compliance or audit requirements (such as HIPAA). Optimize costs by utilizing cloud storage tiers (standard, cold storage) in conjunction with lifecycle policies to intelligently manage your backups.

**Step 8: Hardening The Production Setup And Optimization** Before going live, rigorously configure IAM policies to enforce least-privilege access and maintain detailed audit trails for security purposes. Implement cloud-native security services (like Google Cloud Armor or AWS Web Application Firewall) to defend against common exploits proactively. Once your application is running in the cloud, set up continuous monitoring of resource usage and diligently apply optimizations to control cloud costs across both your production and non-production environments.

This overview charts the path of a typical cloud development project. In future Cloud Scope sessions, we'll delve deeper into specific services, tools, and best practices for each of these steps.

**#cloudscope #clouddevelopment**