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Leveraging the cloud for modern development
- 1. Leveraging the Cloudfor Modern Development Exploring Benefits, Tools, and Best Practices DAVID I. FADARALIKI
- 2. Agenda Overview •Introduction •Benefits ofthe Cloud •Development Tools •Best Practices •Case Studies •Future Trends in Cloud Development 02
- 3. Definition: • Cloud computingis the delivery of computing services over the internet ("the cloud"), including storage, databases, servers, networking, software, and analytics. Importance: • Facilitates innovative solutions and faster deployment cycles, making it essential for modern software development. 03 Introduction…
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- 5. 04 Cost Structures • Scalability: Easilyscale applications up or down based on demand without upfront investment in hardware. • Cost Efficiency: Pay-as-you-go pricing models reduce capital expenses. • Accessibility: Development teams can work remotely, accessing resources from anywhere with an internet connection. • Collaboration: Tools like Google Workspace and Microsoft Teams enable real-time collaboration, improving productivity. Key Benefits
- 6. CI/CD Tools: • Jenkins:Open-source automation server for building, deploying, and automating software development. • GitHub Actions: Automate workflows directly in GitHub. • Google Cloud Build or Code Pipeline Containerization: • Docker: Enables packaging applications into containers for consistent deployment. Kubernetes: • Orchestration platform for managing containerized applications. Development Tools…
- 7. Serverless Computing/Managed Services: •AWS Lambda: Run code without provisioning servers; pay only for usage. • GCP Functions: Event-driven serverless compute service. APIs and Microservices: • Support for building scalable applications through modular design, enabling easier updates and maintenance. • GCP/AWS – API Gateway Infrastructure as Code (IaC): • IaC is a methodology for managing and provisioning cloud infrastructure through code rather than manual processes. • Utilizes tools like Terraform and AWS CloudFormation, developers can articulate their infrastructure needs in code …Development Tools
- 8. Best Practices Security: Implement multi-factorauthentication (MFA) and encryption. Regularly update and patch systems. Cost Management: Use cloud cost management tools to monitor and analyze spending. Set budgets and alerts to avoid overspending. Performance Monitoring: Tools like Amazon CloudWatch and Azure Monitor help track application performance and user experience.
- 9. Cost Management Tools: •AWS Cost Explorer: Visualize spending patterns and trends. • Azure Cost Management: Budgeting and forecasting capabilities. • Google Cloud Billing Reports: Detailed cost analysis. Monitoring Usage: • Set up alerts for budget thresholds(Billing Alerts). • Analyze usage patterns to identify cost-saving opportunities. Best Practices: • Review and optimize regularly (monthly or quarterly). • Engage teams in cost management. Monitoring & Management Tools
- 10. Measuring Value Key Metricsfor Evaluating ROI: • Cost Savings: Reduction in infrastructure expenses. • Performance Improvements: Increased application speed and reliability. • Business Impact: Enhanced agility and innovation capabilities. Example Metrics: • Cost per transaction or user. • Uptime percentages and service-level agreements (SLAs). Case Study Highlight: • Company X reduced costs by 30% while improving application performance by 50%.
- 11. Real-World Scenarios •Case 1:Company X • Challenge: High monthly cloud expenses. • Solution: Implemented rightsizing and reserved instances. • Result: 25% reduction in costs within 6 months. •Case 2: Company Y • Challenge: Unpredictable spending due to dynamic workloads. • Solution: Adopted autoscaling and cost monitoring tools. • Result: Consistent monthly budgeting and 20% savings. •Key Takeaways: • Continuous monitoring is essential. • Tailor strategies based on specific business needs.
- 12. Trends in CloudEconomics Emerging Pricing Models: • Pay-per-use vs. subscription-based models (Serverless). • Introduction of more flexible pricing options (Spot Instances). Impact of AI and Automation: • AI-driven cost management tools can predict and optimize usage. • Automation can enhance resource allocation efficiency. Predictions: • Increased focus on sustainability and cost reduction. • Greater integration of cloud services with on-premises solutions.
- 13. Thank You! 0784 978814 idfadaraliki@gmail.com https://resume.dave.co.zw