Nginx as a Reverse Proxy
Configure Nginx as a reverse proxy — upstream servers, load balancing, SSL termination, WebSocket support, and caching.
1745 posts · page 17 of 37
Configure Nginx as a reverse proxy — upstream servers, load balancing, SSL termination, WebSocket support, and caching.
Set up application monitoring with Prometheus and Grafana — metrics, PromQL queries, alerting rules, and building dashboards.
Learn Terraform from scratch — providers, resources, variables, state, modules, and deploying your first infrastructure as code.
Write production-ready Dockerfiles: layer caching, multi-stage builds, .dockerignore, security hardening, slim base images, and patterns that keep builds fast and images small.
Manage persistent data in Docker — named volumes, bind mounts, tmpfs, backup strategies, and volume drivers for production.
Run work after the response: FastAPI BackgroundTasks, Celery integration, task queues, and when to use each approach for emails, webhooks, data processing, and more.
Master FastAPI's dependency injection system: Depends, sub-dependencies, database sessions, authentication, scoped dependencies, and testing with overrides.
Learn to use git bisect to find the exact commit that introduced a bug. Covers manual bisect, automated bisect with scripts, and practical strategies.
Go beyond basic git stash. Learn partial stashing, stash branches, managing multiple stashes, and recovering dropped stashes.
Learn to use git worktrees to check out multiple branches at once without stashing or switching. Covers setup, workflows, and practical use cases.
Master segment trees for range queries and updates. Covers build, query, update, lazy propagation, and applications for range sum, min, and max problems.
Complete guide to the Trie data structure. Covers insertion, search, prefix matching, deletion, and real-world applications like autocomplete and word puzzles.
Master Go concurrency — goroutines, channels, select, WaitGroups, mutexes, and common patterns like fan-out/fan-in and worker pools.
Master Go's context package — cancellation, timeouts, deadlines, values, and how to propagate them through your application stack.
Write idiomatic Go error handling — wrapping, sentinel errors, custom error types, errors.Is, errors.As, and patterns for clean error flows.
Understand Go interfaces — implicit satisfaction, the empty interface, type assertions, interface composition, and real design patterns.
Write effective Go tests — table-driven tests, subtests, test helpers, mocking with interfaces, benchmarks, and integration testing patterns.
Master GraphQL resolvers: resolver functions, context, the N+1 problem, DataLoader for batching, error handling, authorization in resolvers, and performance patterns.
Design GraphQL schemas that scale: types, queries, mutations, connections, pagination, nullability, naming conventions, and patterns for evolving your API over time.
Learn how to use Java Optional to write null-safe code. Covers creation, chaining with map and flatMap, best practices, and common anti-patterns to avoid.
Master Java pattern matching with instanceof, switch expressions, record patterns, and guarded patterns for cleaner, more expressive conditional logic.
Master Java Streams for functional-style data processing. Covers stream creation, map, filter, reduce, collectors, parallel streams, and performance considerations.
A practical guide to Kubernetes Horizontal Pod Autoscaling: HPA resources, metrics server setup, CPU and memory-based scaling, custom metrics, scaling behavior tuning, and production best practices.
A practical guide to Kubernetes Ingress: Ingress resources, NGINX Ingress Controller setup, TLS termination, path-based and host-based routing, annotations, and production configuration.
A deep dive into Kubernetes Pods and Services: pod lifecycle, multi-container patterns, init containers, probes, ClusterIP, NodePort, LoadBalancer, and service discovery.
A practical guide to Kubernetes RBAC: Roles, ClusterRoles, RoleBindings, ClusterRoleBindings, ServiceAccounts, and real-world patterns for securing cluster access.
A deep dive into JavaScript iterators and generators: the iterator protocol, Symbol.iterator, generator functions, yield, async generators, and practical patterns for lazy evaluation and data pipelines.
Run JavaScript in background threads with Web Workers — dedicated workers, shared workers, message passing, and offloading heavy computation.
A comprehensive guide to Linux process management: ps, top, kill, signals, systemd services, cgroups, resource limits, and the tools you need to keep systems running.
Understand gradient descent intuitively — the learning rate, convergence, batch vs stochastic vs mini-batch, and optimizers like Adam.
Build linear regression from scratch — the math, gradient descent, cost function, and a NumPy implementation compared to scikit-learn.
Master Random Forests — bagging, feature randomness, hyperparameter tuning, feature importance, and when to use them over other models.
A hands-on guide to fine-tuning large language models using LoRA, QLoRA, and Hugging Face. Covers dataset preparation, training configuration, evaluation, and deployment considerations.
How to implement function calling and tool use with LLMs. Covers tool definitions, the execution loop, multi-turn conversations, error handling, and parallel tool calls.
How to reliably get JSON, typed objects, and structured data from LLMs using JSON mode, function calling, Pydantic schemas, and constrained generation with the Outlines library.
How LLMs break text into tokens using BPE, SentencePiece, and tiktoken. Covers vocabulary construction, token limits, and practical implications for prompt engineering.
A practical guide to authentication in Next.js: NextAuth.js setup, middleware-based auth, server component auth checks, JWT vs session strategies, and protecting routes at every level.
A practical guide to Next.js caching: the data cache, full route cache, router cache, revalidation strategies, cache tags, and how to control caching behavior at every level.
Everything you need to know about Next.js middleware: how it works, matchers, redirects, rewrites, authentication checks, geolocation, rate limiting, and common patterns for production apps.
A complete guide to parallel routes in Next.js App Router: @slots, simultaneous rendering, conditional slots, loading and error states, intercepting routes, and advanced layout patterns.
Scale Node.js applications across CPU cores with the cluster module. Covers worker management, load balancing, zero-downtime restarts, and PM2.
Understand the EventEmitter pattern in Node.js. Covers custom emitters, error handling, async events, memory leaks, and real-world patterns.
Learn to write tests with Node.js built-in test runner. Covers test organization, assertions, mocking, subtests, code coverage, and watch mode.
Master Node.js streams for efficient data processing. Covers readable, writable, transform, and duplex streams with real-world examples.
Learn Python's asyncio — coroutines, tasks, event loops, async generators, and building concurrent I/O-bound applications.
Master Python dataclasses — automatic __init__, __repr__, ordering, immutability, default factories, and post-init processing.
Go beyond basic decorators: decorator factories, class decorators, functools.wraps, stacking behavior, and real-world patterns used in production Python code.
A thorough exploration of Python generators: yield mechanics, send and throw, generator pipelines, memory efficiency, coroutine basics, and practical patterns.