Understand the principles of RESTful design and how to structure a REST API in Go.

Learn to implement basic HTTP methods (GET, POST, PUT, DELETE) for a REST API in Go.

Begin building a basic REST API for your GoBear project, focusing on simple read (GET) and write (POST) operations.

Explore handling JSON data in REST APIs, including parsing requests and formatting responses.

Learn about API routing and the use of middleware for tasks like authentication and logging.

Enhance the REST API in your GoBear project with JSON handling, middleware, and improved routing.

Delve into advanced querying techniques like filters and pagination for REST APIs.

Learn about securing REST APIs and implementing rate limiting to manage load and prevent abuse.

Incorporate advanced features like security, rate limiting, and complex querying into the REST API of your GoBear project.

Understand the principles of microservices architecture, including its advantages and challenges.

Learn how to build a basic microservice in Go, focusing on defining service boundaries and creating a simple service.

Start developing a microservice for your GoBear project, such as a service for node management or monitoring.

Explore methods for inter-service communication, such as REST APIs or message queues, in a microservices architecture.

Understand the concepts of service discovery and load balancing in a microservices environment.

Work on integrating multiple microservices in your GoBear project, ensuring smooth communication and operation between them.

Learn about building resilient microservices, focusing on error handling, retries, and fallbacks.

Explore security practices and observability (monitoring, logging, tracing) in a microservices architecture.

Implement advanced microservices patterns in your GoBear project, ensuring robustness, security, and observability.

Learn how to build and compile Go applications into executables for different platforms.

Explore containerizing Go applications using Docker, creating Dockerfiles, and building Docker images.

Start containerizing your GoBear project for deployment, creating a Dockerfile and building the image.

Understand how to automate the deployment process of Go applications using tools like Jenkins or GitHub Actions.

Learn to implement CI/CD pipelines for Go applications, ensuring automated testing and deployment.

Set up a CI/CD pipeline for your GoBear project, automating testing and deployment processes.

Explore deploying Go applications to cloud platforms like AWS, GCP, or Azure.

Learn about scaling Go applications and implementing load balancing for handling increased traffic and high availability.

Work on deploying your GoBear project to a cloud platform, ensuring it's scalable and load-balanced.

Explore Go's built-in profiling tools, such as pprof, to analyze CPU and memory usage.

Learn to interpret profiling results to identify performance bottlenecks in Go applications.

Begin profiling your GoBear project to understand its performance characteristics and identify any bottlenecks.

Learn strategies for optimizing CPU usage in Go, including concurrent processing and algorithm optimization.

Explore techniques to optimize memory usage in Go, such as proper memory allocation and garbage collection optimization.

Apply CPU and memory optimization techniques to improve the performance of your GoBear project.

Focus on fine-tuning concurrency in Go applications for optimal performance, balancing workload across Goroutines.

Explore advanced optimization strategies, including JIT optimizations and compiler flags for performance improvement.

Implement advanced performance tuning strategies in your GoBear project to maximize its efficiency and responsiveness.

Learn to create and use custom error types in Go, enhancing the information provided by errors.

Explore error wrapping to retain the original error context and how to unwrap errors to retrieve the underlying issue.

Implement advanced error handling strategies, including custom errors and error wrapping, in your GoBear project.

Study centralized error handling approaches for managing errors consistently across your application.

Learn strategies for handling errors in concurrent Go programs, particularly with Goroutines and channels.

Apply centralized and concurrent error handling patterns in your GoBear project for robust error management.

Discover best practices for effective error reporting, including user-friendly messages and logging.

Learn techniques for managing and handling errors in large-scale Go applications.

Incorporate effective error handling and reporting best practices in your GoBear project, ensuring clarity and maintainability.

Learn how to find and incorporate third-party Go modules and packages into your projects.

Practice integrating a simple third-party library into a Go application.

Choose and integrate a basic utility library into your GoBear project.

Explore methods to discover and assess the quality of third-party Go libraries, considering factors like documentation, community support, and update frequency.

Learn the practical steps to integrate a third-party library into a Go project, focusing on dependency management and initial setup.

Evaluate and select an appropriate third-party library that could be integrated into your GoBear project, potentially enhancing its functionality or performance.

Study the core concepts of Temporal, including its architecture, workflow, and activities model.

Learn the steps to set up Temporal in a Go project, including configuring the Temporal server and client.

Initiate the integration of Temporal into your GoBear project, setting up the necessary infrastructure and dependencies.

Design workflows for your GoBear project using Temporal, identifying key processes that can benefit from orchestration.

Start implementing the designed workflows in Go using Temporal's SDK, focusing on workflow initiation and activity execution.

Test the implemented Temporal workflows in your GoBear project, optimizing for performance and reliability.

Study secure coding practices in Go, including input validation, error handling, and avoiding common vulnerabilities.

Explore how to use Go's standard library to implement secure functionalities, such as cryptographic operations.

Review and enhance the security aspects of your GoBear project, applying secure coding practices.

Learn how to implement secure communication channels in Go using TLS/SSL for HTTP servers and clients.

Explore best practices for secure data storage and transmission, including handling of sensitive information like passwords and tokens.

Implement advanced security measures in your GoBear project, focusing on secure communication and data handling.