Archive 2023
75 articles
What is BFF (Backend For Frontend)? Benefits and Implementation Guide
A summary of what I researched about BFF.
Notes on Building a Notification Platform
Understand notification platform design for multi-channel delivery including email, push, SMS integration.
100 Tips for Go: How to Address Common Developer Mistakes
100 Tips for Go: How to Address Common Developer Mistakes
About Go's http.RoundTripper
Learn what Go http.RoundTripper interface is and how to use it as HTTP client middleware. Includes a custom RoundTripper for request logging and response latency measurement.
Implementing Fan-In and Fan-Out in Go
Implement fan-in and fan-out concurrent patterns in Go using channels and goroutines. Fan-in aggregates multiple producer outputs; fan-out distributes one input across multiple workers.
About Template Method and Strategy Patterns
Master Template Method and Strategy patterns—two behavioral design patterns for controlling process flow and runtime method selection.
Distributed Services with Go
Distributed Services with Go
Running k3s with multipass
Exploring the use of multipass to run k3s for personal development applications.
Implementing Sliding Window
Implement sliding window algorithms for efficient subarray searching with optimized time complexity and rate limiter applications.
Monorepos Explained: Benefits, Drawbacks, and When to Use Them
Understand what monorepos are, the tooling involved (Nx, Turborepo, Bazel), and the practical trade-offs between monorepos and polyrepos for growing engineering teams.
Practical Go Language
Practical Go Language
Search Patterns in Binary Search Trees
Learn DFS and BFS search patterns for binary search trees, including preorder, inorder, and postorder traversal methods.
Became a Registered Scrum Master (LSM)
Reflections and notes on becoming a Registered Scrum Master after attending the training and exam by scruminc.japan.
About the Two Pointer Technique
Master two-pointer technique for efficient array pair searching with O(N log N) complexity using sorting and index manipulation.
Algorithms and Data Structures - HashMap
Understand how HashMaps work: O(1) average access, open addressing vs. chaining for hash collision handling, and a basic Go HashMap implementation.
Adjacency List and Adjacency Matrix
Compare adjacency lists (O(V+E) space, efficient for sparse graphs) and adjacency matrices (O(V²) space, O(1) edge lookup). Includes Go implementations for directed and undirected graphs.
Implementation of Stack and Queue
Implement stack and queue data structures in Go with linked lists and slices for O(1) operations and optimal performance.
Runner Technique for Linked Lists
Summarizing the runner technique useful for traversing linked lists.
Challenges with Recursion
Understand recursion challenges involving return statements and call stack evaluation with practice strategies.
Reviewing the Basics of Algorithms and Data Structures
A comprehensive review of algorithms and data structures basics: arrays, strings, hash tables, linked lists, trees, stacks, queues, sorting, and time complexity for coding problems.