Discovery and Analysis
The initial stage of any cloud infrastructure development project involves gathering information about the business’s current environment or requirements for setting up a new one. This includes researching current trends in the cloud technology industry, assessing existing infrastructure, identifying unique company needs, and understanding user requirements.
- The outcome of this stage is a report that outlines the findings from the discovery and analysis phase and provides recommendations for developing a custom solution.
Once the discovery phase is complete, the next step is to create a detailed design for the cloud infrastructure solution. This includes designing cloud architectures such as virtual machines, storage, networking components, monitoring tools, DevOps processes, etc., according to best practices and standards specific to each customer’s needs.
- The output of this stage is a comprehensive plan outlining how best to meet customer needs using available technologies. The design should also include recommendations on scaling new or existing applications across multiple clouds.
In this stage, developers build out all components defined in the solution design phase according to customer specifications while ensuring they follow security protocols throughout building platforms on major public clouds like AWS, Azure or GCP, etc. Developers might also be called upon in this stage if any problems or changes need to be fixed during implementation.
- At this stage, developers typically develop runtime containers for microservices that can quickly be easily deployed on different clouds with minimal effort. These containers contain definitions of memory usage limits, health checks, etc. It configures application behavior based on specified parameters. They also provide scripts that enable automated deployment across multiple public clouds.
For an application or service built upon your cloud infrastructure to perform correctly and securely, appropriate testing must occur before being deployed into production environments. This stage ensures proper functionality, performance optimization, scalability, availability, security compliance, etc., making sure everything works as intended on different clouds before release.
- The output of this process can be a test suite consisting of unit tests, integration tests, and regression tests, which help identify any potential performance issues within your application after it has been launched into production. Additionally, they may generate reports documenting required fixes within your codebase based on the results that are needed before publicly releasing it.
Once all testing is completed successfully, we move onto deploying our application into production at desired locations specified by customers. A deployment pipeline would ensure that developers have full automation of their code deployments – from merging code into git repositories, all successful build jobs go through an automatic deployment process, eliminating manual efforts from the operations team.
- The deliverable at this stage consists primarily of scripts/config files necessary for running an automated pipeline which contains steps such as build jobs, version control setups regarding deploying & packaging app images, + extra configurations like environment variables used by apps during the launch process.
Maintenance / Monitoring / Support
It’s important to maintain & monitor an application’s state even after it is launched into production, ensuring maximum uptime & performance levels stay consistent for users interested in consuming our services. Support services may involve responding quickly if customers have challenges running certain parts of our app + general maintenance with updating / patching software regularly etc.
- A System Operations manual should contain documentation surrounding server installation instructions + monitoring/troubleshooting procedures when required, and any other assets necessary for supporting applications’ long-term operations. Additional outputs involve scripts responsible for maintaining health checks on specified running environments so administrators would know quickly if anything was broken due to Unexpected Incidents like high latency spikes or unexpected resource depletion caused by malicious activity targeted toward our application endpoints.