# Rohit Lakhotia
Rohit Lakhotia is a software engineer and writer covering engineering, career growth, and the tech industry.
Canonical: https://scaleengineer.com/authors/rohit-lakhotia
## Posts
- [How Zomato Made Its Restaurant Partner App Over 90% Faster](https://scaleengineer.com/blog/how-zomato-made-its-restaurant-partner-app-over-90-faster) — How Zomato optimized Android startup, rendering, memory, and background work to make its Restaurant Partner App significantly faster.
- [How DeepSeek Runs 380,000 Agent Sandboxes at Once](https://scaleengineer.com/blog/how-deepseek-runs-380-000-agent-sandboxes-at-once) — How DeepSeek built DSec to run 380K+ agent sandboxes concurrently while optimizing isolation, resources, images, and security.
- [How Google’s A2A Is Changing How AI Agents Collaborate?](https://scaleengineer.com/blog/how-google-s-a2a-is-changing-how-ai-agents-collaborate) — A2A lets specialized AI agents securely collaborate and delegate tasks, turning isolated agents into a connected ecosystem of autonomous capabilities.
- [How NVIDIA is Using Agentic AI to Build Autonomous Telecom Networks](https://scaleengineer.com/blog/how-nvidia-is-using-agentic-ai-to-build-autonomous-telecom-networks) — Telcos are moving beyond predefined automation toward agentic AI that can reason, research, optimize, and safely operate networks.
- [How Zomato Reduced a 150 GB Flink State to Just 500 MB](https://scaleengineer.com/blog/how-zomato-reduced-a-150-gb-flink-state-to-just-500-mb) — Zomato cut Flink state by 99% by handling late events through reconciliation, saving $3,000 monthly and eliminating downtime.
- [How LinkedIn Cut a 7-Hour Spark Pipeline Down to 3 Hours](https://scaleengineer.com/blog/how-linkedin-cut-a-7-hour-spark-pipeline-down-to-3-hours) — LinkedIn cut a 7-hour Spark pipeline to 3 hours using critical path analysis, repartitioning, broadcast joins, and Spark tuning.
- [How Apple is Preparing iMessage for the Quantum Computing Era with PQ3](https://scaleengineer.com/blog/how-apple-is-preparing-imessage-for-the-quantum-computing-era-with-pq3) — Apple's PQ3 prepares iMessage for the quantum era using hybrid cryptography, periodic rekeying, and formally verified security.
- [How Meta Escaped the "Forking Trap" and Modernized WebRTC Across 50+ Products](https://scaleengineer.com/blog/how-meta-escaped-the-forking-trap-and-modernized-webrtc-across-50-products) — Meta escaped the WebRTC forking trap using a dual-stack shim architecture, enabling safe A/B testing and continuous upstream upgrades.
- [How Netflix Built a Real-Time Distributed Graph to Connect Billions of Member Interactions ](https://scaleengineer.com/blog/how-netflix-built-a-real-time-distributed-graph-to-connect-billions-of-member-interactions) — Netflix built a Real-Time Distributed Graph using Kafka and Flink to connect member interactions across devices in near real time.
- [AI Can Write Code in Seconds. But Can It Stop Malware Too?](https://scaleengineer.com/blog/ai-can-write-code-in-seconds-but-can-it-stop-malware-too) — Replit integrates Socket Firewall to analyze AI-suggested packages in real time, blocking malicious dependencies before installation.
- [How Meta Migrated One of the World's Largest Data Ingestion Systems Without Downtime](https://scaleengineer.com/blog/how-meta-migrated-one-of-the-world-s-largest-data-ingestion-systems-without-downtime) — Meta migrated thousands of data ingestion jobs using shadow testing, automated validation, and safe rollbacks without disrupting users.
- [Why Netflix Replaced Its Custom Batch Scheduler with Kueue](https://scaleengineer.com/blog/why-netflix-replaced-its-custom-batch-scheduler-with-kueue) — Netflix replaced its custom batch scheduler with Kueue, simplifying scheduling and migrating millions of batch jobs seamlessly.
- [How Anthropic Built Claude's Multi-Agent Research System](https://scaleengineer.com/blog/how-anthropic-built-claude-s-multi-agent-research-system) — Anthropic's Claude Research uses multiple AI agents that collaborate, reason, and coordinate to tackle complex research more effectively.
- [How Cloudflare Built an Intelligent Maintenance Scheduler using Workers](https://scaleengineer.com/blog/how-cloudflare-built-an-intelligent-maintenance-scheduler-using-workers) — Cloudflare uses graphs, caching, and real-time analytics to automate maintenance scheduling and prevent infrastructure conflicts at scale.
- [How Uber Uses Pull-Based Ingestion to Keep Search Data Fresh at Massive Scale](https://scaleengineer.com/blog/how-uber-uses-pull-based-ingestion-to-keep-search-data-fresh-at-massive-scale) — Uber uses Kafka-based pull ingestion in OpenSearch to handle traffic spikes, simplify recovery, and maintain global search consistency.
- [How LinkedIn Built Northguard and Xinfra to Move Beyond Kafka](https://scaleengineer.com/blog/how-linkedin-built-northguard-and-xinfra-to-move-beyond-kafka) — LinkedIn built Northguard and Xinfra to overcome Kafka's scaling limits with self-balancing storage, distributed metadata, and seamless migration.
- [What is an OSI Model?](https://scaleengineer.com/blog/osi-model) — Demystify network communication with this practical guide to the OSI model. Understand all 7 layers with real-world examples and analogies.
- [How Uber Standardized Mobile Analytics (Without Slowing Down Teams)](https://scaleengineer.com/blog/how-uber-standardized-mobile-analytics-without-slowing-down-teams) — Uber standardized mobile analytics by moving event logic to the platform, automating metadata, and ensuring consistent, reliable data across apps.
- [What is Database Replication?](https://scaleengineer.com/blog/database-replication-in-system-design) — A practical guide to database replication in system design. Learn about key architectures, trade-offs, and real-world strategies for building scalable systems.
- [When Microservices Get Messy: How API Federation Brings Order](https://scaleengineer.com/blog/when-microservices-get-messy-how-api-federation-brings-order) — API Federation combines multiple services into one API using shared models and modular features, simplifying complex microservice architectures.
- [What Is Weak Consistency?](https://scaleengineer.com/news/what-is-weak-consistency) — Struggling to understand what is weak consistency? This guide explains the concept with simple analogies, real-world examples, and performance trade-offs.
- [How Slack makes its Mobile App Feel Seamless (Even on Bad Internet)](https://scaleengineer.com/blog/how-slack-makes-its-mobile-app-feel-seamless-even-on-bad-internet) — Slack optimizes mobile performance using prioritized APIs, caching + versioning, offline sync, and scalable architecture for reliable user experience.
- [What is Site Reliability Engineering?](https://scaleengineer.com/blog/site-reliability-engineering-best-practices) — Discover what is site reliability engineering and the best practices. Learn SLOs, automation, and more with real-world examples to build resilient systems.
- [How LinkedIn Rebuilt Service Discovery to Scale to Millions of Services](https://scaleengineer.com/blog/how-linkedin-rebuilt-service-discovery-to-scale-to-millions-of-services) — LinkedIn rebuilt service discovery using Kafka and Observer, enabling scalable, push-based updates with lower latency and higher availability.
- [What is Cache Invalidation?](https://scaleengineer.com/blog/cache-invalidation-strategies) — Discover what is cache invalidation and strategies to boost performance and ensure data consistency. Learn to implement the right approach for your system.
- [How Snowflake Reduced Query Time by 20% (Without You Doing Anything)](https://scaleengineer.com/blog/how-snowflake-reduced-query-time-by-20-without-you-doing-anything) — Snowflake reduces query time by 20% via continuous engine optimizations, improving real workloads automatically without user changes.
- [What is Service Discovery?](https://scaleengineer.com/blog/service-discovery-for-microservices) — Explore service discovery for microservices. Understand key patterns, compare tools like Consul and Eureka, and learn best practices for resilient systems.
- [How GitHub Uses CodeQL to Secure Code at Scale](https://scaleengineer.com/blog/how-github-uses-codeql-to-secure-code-at-scale) — GitHub uses CodeQL to scan code as data, detect vulnerabilities, and secure thousands of repos automatically at scale.
- [What are Distributed Systems?](https://scaleengineer.com/blog/distributed-systems-architecture) — Explore distributed systems architecture with practical insights, design patterns, and real-world examples to enhance your understanding and skills.
- [How Snowflake Improved Performance by 27% (Without Users Noticing)](https://scaleengineer.com/blog/how-snowflake-improved-performance-by-27-without-users-noticing) — Snowflake boosts performance by 27% via backend optimizations in ingestion, planning, and execution thus faster queries and lower cost automatically
- [What are SOLID Principles?](https://scaleengineer.com/blog/solid-principles-in-software-engineering-explained-with-examples) — Learn solid principles in software engineering: explained with examples to write clean, maintainable, and scalable code. A practical guide for developers.
- [How Nomad by HashiCorp Reduced Scheduler Load by 90%](https://scaleengineer.com/blog/how-nomad-by-hashicorp-reduced-scheduler-load-by-90) — Nomad reduces scheduler load by canceling redundant evaluations, improving system performance and speeding up recovery during failures.
- [What are Idempotent Keys?](https://scaleengineer.com/blog/idempotent-keys) — Learn how idempotent keys prevent duplicate operations and build reliable, fault-tolerant systems. Discover practical strategies for API design and beyond.
- [How Slack Built Accessibility Checks into Its Testing Pipeline](https://scaleengineer.com/blog/how-slack-built-accessibility-checks-into-its-testing-pipeline) — Slack added Axe-based accessibility checks to Playwright tests, balancing automation with reliability, better reports, and easy developer workflows.
- [What Is an Application Server?](https://scaleengineer.com/blog/what-is-an-application-server) — Learn what is an application server, how it processes requests, and why it's essential for modern applications. Find out everything you need to know!
- [How GitHub Redesigned CLI Accessibility Without a Rulebook](https://scaleengineer.com/blog/how-github-redesigned-cli-accessibility-without-a-rulebook) — GitHub makes CLI accessible by improving prompts, colors, and output, helping screen readers, low-vision users, and making terminals usable for all devs
- [What are Different Types of SQL Indexes?](https://scaleengineer.com/blog/sql-index-types) — Unlock database performance with our guide to SQL index types. Learn how B-Tree, clustered, non-clustered, and hash indexes speed up your queries.
- [How Slack Built Secure Enterprise Search?](https://scaleengineer.com/blog/how-slack-built-secure-enterprise-search) — Slack enables secure enterprise search using real-time fetch, RAG, ACL & OAuth, no data storage, always permission-aware & private across tools.
- [Aspect-oriented design vs OOPs vs Functional Programming](https://scaleengineer.com/blog/aspect-oriented-design-vs-oop-vs-functional-programming) — Discover aspect-oriented design vs oop vs functional programming and how to apply each approach for scalable, maintainable software.
- [How Airbnb Migrated a Petabyte Without Users Noticing](https://scaleengineer.com/blog/how-airbnb-migrated-a-petabyte-without-users-noticing) — Airbnb rebuilt Mussel into a cloud-native KV store and migrated 1PB+ data using Apache Kafka with zero downtime.
- [API Gateway vs Load Balancer](https://scaleengineer.com/blog/api-gateway-vs-load-balancer) — Discover the differences between API gateway vs load balancer and find out which is best for your system's performance and security needs.
- [How Slack cut their E2E Build Time by 80%?](https://scaleengineer.com/blog/how-slack-cut-their-e2e-build-time-by-80) — Slack cut E2E time 80% by skipping redundant frontend builds and reusing cached assets, saving compute, storage, and hours.
- [What are Immutable Data Structures?](https://scaleengineer.com/blog/immutable-data-structures-why-they-matter-in-modern-coding) — Explore why immutable data structures: why they matter in modern coding. Discover how they enhance reliability, simplify concurrency, and prevent bugs.
- [How Shopify Made Commerce Data Queryable Without SQL](https://scaleengineer.com/blog/how-shopify-made-commerce-data-queryable-without-sql) — ShopifyQL Notebooks lets merchants explore business data without SQL, using commerce-focused models built for clarity, speed, and action.
- [What is Backpressure?](https://scaleengineer.com/blog/what-is-backpressure) — Learn what is backpressure in distributed systems, why it’s vital for stability, and key strategies to prevent overloads in large-scale systems.
- [How Slack Automatically Stops Suspicious Activity in Real Time](https://scaleengineer.com/blog/how-slack-automatically-stops-suspicious-activity-in-real-time) — Slack’s AER detects suspicious activity and automatically terminates user sessions, shrinking response time from hours to minutes.
- [Normalized vs Denormalized Database?](https://scaleengineer.com/blog/normalized-vs-denormalized-database) — Choosing between a normalized vs denormalized database? This guide breaks down the performance trade-offs to help you make the right architectural choice.
- [How Shopify Built Super-Fast Search at C++ Speed](https://scaleengineer.com/blog/how-shopify-built-super-fast-search-at-c-speed) — Shopify built RankFlow to run ML-powered search at C++ speed, letting data scientists iterate fast without sacrificing latency or scale.
- [Observability vs Monitoring: Technical Differences Explained](https://scaleengineer.com/blog/observability-vs-monitoring-technical-differences) — Discover the key observability vs monitoring: technical differences, including telemetry, tools, and use cases that differentiate these vital DevOps practices.
- [Why Spotify’s Shuffle Never Felt Random (and What They Did About It)](https://scaleengineer.com/blog/why-spotify-s-shuffle-never-felt-random-and-what-they-did-about-it) — Spotify kept Shuffle random but made it feel fair by choosing the least repetitive random order, so songs feel fresher without breaking true randomness.
- [Replication vs Redundancy. What's the Difference?](https://scaleengineer.com/blog/difference-between-replication-and-redundancy) — Learn the key differences between replication and redundancy to optimize your data protection strategies. Discover which method suits your needs best.
- [How Dropbox Dash Uses a Feature Store for Real-Time AI](https://scaleengineer.com/blog/how-dropbox-dash-uses-a-feature-store-for-real-time-ai) — Dropbox Dash uses a hybrid feature store to deliver fast, fresh signals at scale, keeping AI search accurate, low-latency, and reliable at scale.
- [What Is MLOps?](https://scaleengineer.com/blog/what-is-mlops-bridging-the-gap-between-devops-and-machine-learning) — Learn what is MLOps: bridging the gap between devops and machine learning. Explore its lifecycle, tools, and best practices for scaling AI effectively.
- [How Spotify Scaled Content Annotations to Millions (Without Losing Quality)](https://scaleengineer.com/blog/how-spotify-scaled-content-annotations-to-millions-without-losing-quality) — Spotify built a scalable annotation platform by combining human experts, smart tools, and strong infrastructure to power high-quality ML training data
- [What is Reactive Programming?](https://scaleengineer.com/blog/what-is-reactive-programming) — Discover what is reactive programming through simple analogies and real-world examples, with practical tips for building reactive apps.
- [How Dropbox Dash Uses Context Engineering to Build Smarter AI](https://scaleengineer.com/blog/how-dropbox-dash-uses-context-engineering-to-build-smarter-ai) — Dropbox Dash evolved into agentic AI by engineering context fewer tools, relevant data, and specialized agents making AI faster, smarter at work.
- [What is Publish-Subscribe Pattern? ](https://scaleengineer.com/blog/what-is-publish-subscribe-pattern) — What is publish-subscribe pattern? Learn how pub/sub decouples components, with real-world examples and benefits for scalable systems.
- [How LinkedIn Uses Machine Learning to Moderate Content at Scale](https://scaleengineer.com/blog/how-linkedin-uses-machine-learning-to-moderate-content-at-scale) — LinkedIn is using ML to prioritize content smarter, not replace humans but helping reviewers act faster, scale better, and keep the platform safe without losing judgment or nuance.
- [What is Configuration Drift?](https://scaleengineer.com/blog/what-is-configuration-drift-a-guide-for-devops) — What is Configuration Drift? Learn causes, risks, and best practices to detect, prevent, and fix drift with IaC and GitOps.
- [How Instagram Improved HDR Video on iOS With Dolby Vision](https://scaleengineer.com/blog/how-instagram-improved-hdr-video-on-ios-with-dolby-vision) — Dolby Vision first hurt Reels due to load delays from metadata. Compression fixed it, boosting watch time and enabling rollout on Instagram iOS
- [What is Lazy Loading vs Eager Loading?](https://scaleengineer.com/blog/lazy-loading-vs-eager-loading-explained) — lazy loading vs eager loading explained with practical examples. Learn when to apply each approach for performance and resource efficiency.
- [How LinkedIn Rebuilt its Profile Highlights System](https://scaleengineer.com/blog/how-linkedin-rebuilt-its-profile-highlights-system) — LinkedIn rebuilt Profile Highlights into a plug-in platform, enabling faster experiments, independent teams, better performance, and ~50% lower costs.
- [What is a Dead Letter Queue?](https://scaleengineer.com/blog/what-is-a-dead-letter-queue-handling-messages-that-fail) — What is a Dead Letter Queue? Handling messages that fail explained with practical patterns to build resilient, reliable messaging systems.
- [How LinkedIn Reduced Latency and Cost by Merging Two Critical Systems](https://scaleengineer.com/blog/how-linkedin-reduced-latency-and-cost-by-merging-two-critical-systems) — LinkedIn merged identity midtier and data services, cutting network hops to reduce latency, memory use, and cost while keeping APIs unchanged.
- [How Big Tech Manages 100 Versions of One Product?](https://scaleengineer.com/blog/how-big-tech-manages-100-versions-of-one-product) — How Tech Companies manage 100 versions of one product - discover strategies, architecture, and tools used to scale across platforms.
- [How Lyft Built an In-App Messaging Without Annoying Riders](https://scaleengineer.com/blog/how-lyft-built-an-in-app-messaging-without-annoying-riders) — Lyft built in-app messaging by starting with simple banners and scaling into a smart, context-aware system that delivers timely messages without annoying riders.
- [What is Metamorphic Testing?](https://scaleengineer.com/blog/what-is-metamorphic-testing) — What is Metamorphic Testing? Discover how it solves the test oracle problem and how to test complex AI, APIs, and untestable code.
- [How Airbnb builds Products 10x Faster Using GraphQL and Apollo](https://scaleengineer.com/blog/how-airbnb-builds-products-10x-faster-using-graphql-and-apollo) — Airbnb ships faster by using GraphQL and Apollo to power backend-driven UI, automatic types, and tooling that lets engineers focus on building features
- [What is Mutation Testing?](https://scaleengineer.com/blog/what-is-mutation-testing-just-break-your-code) — What is mutation testing? Just break your code! Learn how mutants reveal weaknesses and strengthen your automated tests.
- [How Zomato Improved their Android App Startup Time by Over 20% Using Baseline Profiles](https://scaleengineer.com/blog/how-zomato-improved-their-android-app-startup-time-by-over-20-using-baseline-profiles) — Zomato cut Android app startup time by 20% using Baseline Profiles, pre-optimizing key code paths for faster launches and a smoother, consistent user experience.
- [What Happens During a Database Migration?](https://scaleengineer.com/blog/what-happens-during-a-database-migration) — Discover what happens during a database migration. This practical guide covers planning, execution, validation, and strategies for a smooth transition.
- [How Airbnb Measures the Lifetime Value of a Listing](https://scaleengineer.com/blog/how-airbnb-measures-the-lifetime-value-of-a-listing) — Airbnb’s LTV framework shows which listings drive value, supports hosts, and adapts to market changes for smarter, data-driven decisions.
- [What Is CQRS?](https://scaleengineer.com/blog/what-is-cqrs) — What is CQRS? This guide explains the CQRS pattern with simple analogies and practical examples to help you build scalable and high-performance applications.
- [How Lyft Rebuilt its Iconic Dashboard Emblem and its entire IoT Platform along with it?](https://scaleengineer.com/blog/how-lyft-rebuilt-its-iconic-dashboard-emblem-and-its-entire-iot-platform-along-with-it) — Lyft’s Glow is more than an emblem, it’s a unified IoT platform with secure provisioning, real-time control, device shadowing, and safe OTA updates.
- [How Debuggers Know What to Show You?](https://scaleengineer.com/blog/how-debuggers-know-what-to-show-you-program-slicing) — Learn how debuggers know what to show you? (program slicing) with examples of static vs dynamic slicing and dependency graphs for faster debugging.
- [How LinkedIn Made the “My Network” Tab Faster, Smoother, and More Flexible](https://scaleengineer.com/blog/how-linkedin-made-the-my-network-tab-faster-smoother-and-more-flexible) — LinkedIn sped up My Network by unifying APIs, adding pagination, and using a backend-driven render model, cutting latency and improving the overall UX.
- [What Is the N+1 Query Problem?](https://scaleengineer.com/blog/what-is-the-n-1-query-problem) — What is the n+1 query problem? Learn how it slows apps, why it happens, and practical fixes with code examples to speed up performance.
- [How Swiggy Cut QA Regression Time by 66% Using Automated Event Testing](https://scaleengineer.com/blog/how-swiggy-cut-qa-regression-time-by-66-using-automated-event-testing) — Swiggy built ARD Automator to automate mobile event verification using contracts and validators, cutting QA time by 66% and boosting accuracy.
- [What is Garbage Collection: How it really works?](https://scaleengineer.com/blog/what-is-garbage-collection-how-it-really-works) — What is Garbage Collection: How it really works? A clear walkthrough of GC concepts, algorithms, and memory-management tips for modern languages.
- [How Razorpay Uses Terraform to Simplify and Scale Infrastructure Management](https://scaleengineer.com/blog/how-razorpay-uses-terraform-to-simplify-and-scale-infrastructure-management) — Razorpay leverages Terraform + Atlantis to automate, secure, and scale infrastructure with GitOps workflows and modular IaC practices.
- [What is Token Bucket Algorithm?](https://scaleengineer.com/blog/what-is-token-bucket-algorithm) — Discover how context switching lets operating systems multitask smoothly, switching between processes to keep your system fast and efficient.
- [How LinkedIn Cut Build Times from 30 Minutes to 10 Seconds](https://scaleengineer.com/blog/how-linkedin-cut-build-times-from-30-minutes-to-10-seconds) — LinkedIn’s RDev lets engineers code in the cloud with pre-built containers, cutting setup from 30 mins to 10 secs while keeping CI consistent.
- [How Context Switching Works in Operating Systems?](https://scaleengineer.com/blog/how-context-switching-works-in-operating-systems) — Discover how context switching lets operating systems multitask smoothly, switching between processes to keep your system fast and efficient.
- [How Swiggy Scaled and Maintained Postgres](https://scaleengineer.com/blog/how-swiggy-scaled-and-maintained-postgres) — Swiggy scaled Postgres by cleaning unused indexes, controlling auto-vacuum, and using pg_repack for online maintenance and better performance.
- [What is Event Driven Architecture? ](https://scaleengineer.com/blog/what-is-event-driven-architecture) — Discover what is event driven architecture, its core components, benefits, and real-world examples in this comprehensive guide.
- [How Razorpay prepared for Chrome’s Third-Party Cookie Deprecation](https://scaleengineer.com/blog/how-razorpay-prepared-for-chrome-s-third-party-cookie-deprecation) — Razorpay uses partitioned cookies (CHIPS) to tackle Chrome’s 3P cookie phaseout, cutting drop-offs while ensuring a smooth, reliable checkout.
- [What Is Chaos Engineering?](https://scaleengineer.com/blog/what-is-chaos-engineering) — Discover what is chaos engineering and how proactive failure testing builds stronger, more reliable systems. Learn the principles and tools.
- [How LinkedIn Built a Faster, Safer, and Smarter HDFS Ecosystem](https://scaleengineer.com/blog/how-linkedin-built-a-faster-safer-and-smarter-hdfs-ecosystem) — LinkedIn scaled HDFS with HA, Observer nodes, encryption & Wormhole, boosting speed, reliability & secure data access for massive growth.
- [Acid vs Base: Which Database Consistency Model Should You Use?](https://scaleengineer.com/blog/acid-vs-base-which-database-consistency-model-should-you-use) — Discover whether acid vs base: which database consistency model should you use? Find out which approach suits your needs with real-world examples.
- [How Salesforce Reinvented Task Execution for the Cloud Era](https://scaleengineer.com/blog/how-salesforce-reinvented-task-execution-for-the-cloud-era) — Salesforce built a cloud-native task execution system in Hyperforce, replacing SSH with secure, scalable, multi-cloud automation using recipes & workers.
- [Just-in-Time (JIT) Compilation: How It Speeds Up Code](https://scaleengineer.com/blog/just-in-time-jit-compilation-how-it-speeds-up-code) — Unlike interpreting code line-by-line or compiling everything in advance, JIT compiles frequently used sections, or 'hot spots', into efficient native machine code during execution. This approach offers interpreter flexibility with the performance of a compiled program.
- [How Zomato Handles 100 Million Daily Search Queries](https://scaleengineer.com/blog/how-zomato-handles-100-million-daily-search-queries) — Zomato fixed search scale issues by moving from Field Cache to DocValues and using nested docs, cutting costs, OOM errors & boosting speed.
- [Why GPUs Dominate AI Training (and What TPUs Do Differently)](https://scaleengineer.com/blog/why-gpus-dominate-ai-training-and-what-tpus-do-differently) — Discover why GPUs dominate AI training and what TPUs do differently. Learn the key differences and find out which hardware is best for your needs.
- [API Rate Limiting vs API Throttling: Which Is Best?](https://scaleengineer.com/blog/api-rate-limiting-vs-api-throttling) — Learn the key differences between API rate limiting vs API throttling to choose the right strategy for your application's performance and security.
- [How Salesforce migrated 200,000 Machines from CentOS 7 to RHEL 9](https://scaleengineer.com/blog/how-salesforce-migrated-200-000-machines-from-centos-7-to-rhel-9) — Using automation for zero downtime, stronger security & faster parallel upgrades, Salesforce successfully migrated 200,000 machines from CentOS 7 to RHEL 9
- [How Salesforce migrated 200,000 Machines from CentOS 7 to RHEL 9](https://scaleengineer.com/blog/sending-email-how-salesforce-migrated-200-000-machines-from-centos-7-to-rhel-9) — Using automation for zero downtime, stronger security & faster parallel upgrades, Salesforce successfully migrated 200,000 machines from CentOS 7 to RHEL 9
- [Edge Computing vs Fog Computing: Making the Right Choice](https://scaleengineer.com/blog/edge-computing-vs-fog-computing) — When comparing edge computing vs. fog computing, the main difference comes down to a simple question: where does the data processing happen?
- [Authorization: RBAC vs ABAC](https://scaleengineer.com/blog/authorization-rbac-vs-abac) — The core difference between RBAC and ABAC boils down to one thing: how they determine permissions. RBAC is static whereas ABAC is dynamic.
- [Authentication Explained: Basic, Bearer, OAuth2, JWT & SSO](https://scaleengineer.com/blog/authentication-explained-basic-bearer-oauth-2-jwt-sso) — This guide will break down five common methods: Basic, Bearer, OAuth2, JWT, and SSO. We'll look at how each one works.
- [Agile vs Waterfall: Which Software Development Model Should You Pick?](https://scaleengineer.com/blog/agile-vs-waterfall-which-software-development-model-should-you-pick) — Confused about agile vs waterfall? Discover which software development model to choose with our comprehensive guide on agile vs waterfall.
- [What Are Vector Databases? The Secret Sauce Behind AI Search Engines](https://scaleengineer.com/blog/what-are-vector-databases-the-secret-sauce-behind-ai-search-engines) — A vector database stores complex data, such as text, images, and audio, as high-dimensional numerical representations called vector embeddings.
- [What Is Distributed Caching? A Guide to Faster Applications](https://scaleengineer.com/blog/what-is-distributed-caching) — Distributed caching enhances application performance by combining the RAM of multiple computers into one data store. It...
- [A Practical Guide to API Gateway Patterns in Microservices](https://scaleengineer.com/blog/api-gateway-patterns-in-microservies) — API Gateway patterns serve as a unified entry point, routing traffic and simplifying client-side development. The main patterns are Backend for Frontend...
- [How Swiggy Improved Video Performance with Smart Caching](https://scaleengineer.com/blog/how-swiggy-improved-video-performance-with-smart-caching) — Swiggy boosted video cache hits & cut costs by clustering widths with K-means, reducing redundant processing while keeping playback seamless.
- [What is HTTP Keep-Alive? A Guide to Faster Website Speed](https://scaleengineer.com/blog/what-is-http-keep-alive) — HTTP Keep-Alive, also known as a persistent connection, is a feature that allows a single TCP connection to remain open for multiple HTTP requests and responses. 
- [Circuit Breaker vs Retry in Microservices](https://scaleengineer.com/blog/circuit-breaker-vs-retry) — When building resilient systems, the debate of circuit breaker vs retry is about choosing the right tool for the right kind of failure. A Retry pattern is...
- [Protobuf vs JSON: Which one to choose?](https://scaleengineer.com/blog/protobuf-vs-json) — Deciding between Protobuf and JSON really boils down to what you're building. If you need something universally...
- [Strong vs Eventual Consistency in Distributed Systems](https://scaleengineer.com/blog/what-is-strong-vs-eventual-consistency) — At its core, consistency is about how systems manage updates across multiple servers. In distributed architectures...
- [Sharding vs Partitioning: What's the Difference?](https://scaleengineer.com/blog/difference-between-data-sharding-and-partitioning) — Partitioning splits data within one database for faster retrieval, while sharding spreads data across multiple databases to handle scale and traffic.
- [What is Homomorphic Encryption? A Practical Guide with Examples](https://scaleengineer.com/blog/what-is-homomorphic-encryption) — Homomorphic encryption is a powerful form of cryptography that allows computation on data while it remains encrypted.
- [Latency vs Throughput: A Guide for System Performance](https://scaleengineer.com/blog/latency-vs-throughput) — When you hear engineers talk about latency vs throughput, they are discussing two sides of the same coin: speed versus capacity. 
- [Write-Through, Write-Back & Write-Around in Cache: A Practical Guide](https://scaleengineer.com/blog/write-through-write-back-and-write-around-in-cache) — Your app writes data every second but how it writes can change everything. Write-Through, Write-Back & Write-Around hide big trade-offs.
- [How Hyperforce Edge Networking Scaled to 20 Million Domains With Less Than 30GB of RAM](https://scaleengineer.com/blog/how-hyperforce-edge-networking-scaled-to-20-million-domains-with-less-than-30gb-of-ram) — Scaled from 3M→20M+ domains, Salesforce Hyperforce Edge cut memory <30GB with new storage design, boosting speed, reliability & security.
- [CDN vs Edge Cache: What You Need to Know](https://scaleengineer.com/blog/cdn-vs-edge-cache) — When people discuss CDN vs edge cache, they're often setting up a false comparison. The reality is simpler: edge caching is the core process that makes a modern Content Delivery Network (CDN) work. 
- [Redis vs Memcached: When to Use What?](https://scaleengineer.com/blog/redis-vs-memcached-when-to-use-what) — Redis: complex data, persistence & pub/sub. Memcached: simple, ultra-fast, volatile key-value caching.
- [What is Memcached?](https://scaleengineer.com/blog/what-is-memcached) — Memcached is a high-performance, open-source caching system that stores frequently accessed data in RAM. 
- [Client-Side vs Server-Side Caching](https://scaleengineer.com/blog/client-side-vs-server-side-caching) — Server-side caching saves data on your server to speed things up for everyone, while client-side caching saves data on a single user's device, just for them.
- [Object vs File vs Block Storage Explained](https://scaleengineer.com/blog/storage-systems-blob-file-object-and-thier-difference-6a86) — File storage uses folders, object storage flattens data with metadata for scale, and block storage is a simpler form for raw binary data.
- [What is NoSQL? A Clear Guide to NoSQL Databases](https://scaleengineer.com/blog/what-is-nosql) — Running an online store? Products vary by size, color, reviews, ratings & sellers fitting all that into rigid tables quickly gets messy...
- [What is Read/Write Splitting? Boost Database Performance](https://scaleengineer.com/blog/what-is-read-write-splitting) — When apps scale, one database handling both reads and writes becomes a bottleneck. Read/write splitting fixes this by separating the two.
- [What Is an Application Server? Role & Importance](https://scaleengineer.com/blog/what-is-an-application-server-88a2) — Ever wondered what happens behind the curtain when you log into an app, book a flight, or add something to your online shopping cart? That seamless, interactive experience is powered by an unseen engine...
- [How Razorpay Capital Detects Duplicate or Fraudulent Merchants](https://scaleengineer.com/blog/how-razorpay-capital-detects-duplicate-or-fraudulent-merchants) — Razorpay scaled payments to billions of transactions by re-engineering its core systems, ensuring speed, security & reliability at scale.
- [Synchronous vs Asynchronous Communication](https://scaleengineer.com/blog/difference-between-synchronous-and-asynchronous-communication) — At its core, the difference between synchronous and asynchronous communication boils down to a single question: do you need an immediate response?
- [Computer Networking Explained: History, Protocols, Security, and More](https://scaleengineer.com/blog/computer-networking-explained) — Ever wondered what makes your Wi-Fi, apps, and smart devices talk to each other so smoothly. From gaming marathons to binge-worthy streams, all thanks to the invisible connections working behind the scenes.
- [Performance and Scalability in Web Applications](https://scaleengineer.com/blog/performance-and-scalability-in-web-applications) — Ever wondered why some apps stay smooth at 100 users but crash at 10k? That is where performance meets scalability.
- [Data Management in Applications](https://scaleengineer.com/blog/data-management-in-applications) — Whether you’re building a simple note-taking app, a social media platform, or a large-scale e-commerce system, your application’s success depends on how well...
- [Authentication & Access Control](https://scaleengineer.com/blog/authentication-access-control) — You sign in to your bank account and can only view your balance. The bank manager logs in and can approve loans. Same system, different powers but how does the app decide?
- [System Design Tutorial](https://scaleengineer.com/blog/system-design-fundamentals) — When applications grow beyond a handful of users, writing code alone isn’t enough. To scale, stay reliable, and support complex features, software needs strong...
- [What are AI Agents and How Do They Work?](https://scaleengineer.com/blog/what-are-ai-agents) — Imagine having a personal assistant who spots a bug in your code and submits the patch before you get the error.
- [How Salesforce Migrated 760+ Kafka Nodes Handling 1M Messages per Second with Zero Downtime](https://scaleengineer.com/blog/how-salesforce-migrated-760-kafka-nodes-handling-1m-messages-per-second-with-zero-downtime) — Salesforce upgraded 760+ Kafka nodes handling 1M+ msg/sec with zero downtime, scaling Marketing Cloud seamlessly for the future.
- [Vertical vs Horizontal Scaling](https://scaleengineer.com/blog/vertical-vs-horizontal-scaling) — Is it better to make one server stronger or add more servers?
- [How X (Formerly Twitter) Handles Millions of Tweets Every Second](https://scaleengineer.com/blog/how-x-formerly-twitter-handles-millions-of-tweets-every-second) — X scaled from Ruby to Java, microservices, real-time data, and AI to handle millions of tweets, searches, and users with speed and reliability.
- [How does the Internet Work?](https://scaleengineer.com/blog/how-does-the-internet-work) — Ever wondered how you can send a cat meme to Tokyo, check the Paris weather before packing, and video chat with someone in another time zone, all in seconds? That’s the internet, turning the world into one big, lightning-fast conversation. But how does it work?
- [Monolith vs Microservices Architecture](https://scaleengineer.com/blog/monolith-vs-microservices-architecture) — One giant program or a bunch of mini-programs, what should you choose?
- [How Spotify Powers Music Streaming for Millions](https://scaleengineer.com/blog/how-spotify-powers-music-streaming-for-millions) — Spotify uses Kafka, microservices, and ML to deliver real-time, personalized music to millions, powered by a fast, scalable cloud backend.
- [What Is IoT in Simple Words? A 5-Year-Old's Guide.](https://scaleengineer.com/blog/what-is-iot-in-simple-words) — Imagine your toothbrush telling your mom if you skipped brushing! Read how smart things work together in the world of IoT.
- [What is CAP Theorem?](https://scaleengineer.com/blog/what-is-cap-theorem) — Why can’t your favorite app be always fast, always online, and always correct? CAP Theorem has the answer.
- [How Meta Powers its Cloud Gaming Infrastructure at Scale](https://scaleengineer.com/blog/how-meta-powers-its-cloud-gaming-infrastructure-at-scale) — Meta streams games from cloud GPUs to your device with ultra-low latency, using real-time encoding, smart networking, and fast decoding.
- [Understanding API Gateway in Microservices: Key Benefits & Use Cases](https://scaleengineer.com/blog/understanding-api-gateway-in-microservices-key-benefits-use-cases) — Learn how an API gateway in microservices optimizes architecture. Explore core functions, patterns, and best practices to enhance your system.
- [How Amazon Key Unlocks 100 Million Doors a Year](https://scaleengineer.com/blog/how-amazon-key-unlocks-100-million-doors-a-year) — Amazon Key lets drivers unlock gates for faster deliveries. From serverless to microservices, it now powers 100M+ secure unlocks yearly.
- [Encryption vs Tokenization: Which Data Security Method Is Better?](https://scaleengineer.com/blog/encryption-vs-tokenization) — When you're trying to decide between encryption vs tokenization, it helps to think in analogies. Encryption is like locking your valuables in a high-tech safe, the data is still there, just scrambled into an unreadable format. Only someone with the right key can open it.
- [EP 88: How Pinterest Evolved its Architecture to Serve 500 Million Users](https://scaleengineer.com/blog/how-pinterest-evolved-its-architecture-to-serve-500-million-users) — Pinterest began as a simple side project and scaled by simplifying tech, embracing microservices, and building strong pipelines and monitoring.
- [EP 87: How Uber Handles 40 Million+ Reads Per Second Using an Integrated Cache](https://scaleengineer.com/blog/how-uber-handles-40-million-reads-per-second-using-an-integrated-cache) — Uber serves 40M+ reads/sec by pairing Docstore with a smart Redis cache, using CDC for near-instant updates and clever sharding for scale.
- [EP 86: How Facebook Scales Live Streaming for Millions of Viewers at Once?](https://scaleengineer.com/blog/how-facebook-scales-live-streaming-for-millions-of-viewers-at-once) — Facebook scaled Live streaming for millions by building robust ingestion, delivery, and ISP optimizations, powering events like the UEFA Final.
- [How Uber Eats Scaled Search to Handle Billions of Daily Queries](https://scaleengineer.com/blog/how-uber-eats-scaled-search-to-handle-billions-of-daily-queries) — Uber Eats scaled search by revamping indexing, geo-sharding & ranking, supporting billions of queries daily without compromising latency.
- [EP 84: How Pinterest Built Text-to-SQL to make Data analysis easier](https://scaleengineer.com/blog/how-pinterest-built-text-to-sql-to-make-data-analysis-easier) — Pinterest built a Text-to-SQL tool using LLMs and RAG to help analysts convert questions into SQL and find the right data faster and easier.
- [EP 83: How Pinterest Rebuilt its $3B+ Ads System without any Downtime](https://scaleengineer.com/blog/how-pinterest-rebuilt-its-3b-ads-system-without-any-downtime) — Pinterest rebuilt its \$3B+ ad system with a graph-based design for better scale, safety & dev speed, launched with zero downtime and big cost wins.
- [EP 82: How Pinterest uses LLMs to make your Search Results more Relevant?](https://scaleengineer.com/blog/how-pinterest-uses-llms-to-make-your-search-results-more-relevant) — Pinterest's AI teacher-student system improved search by 19.7%, understanding user intent beyond keywords for better relevance globally
- [EP 81: How Pinterest Built “Holiday Finds” to make Gift Shopping easier?](https://scaleengineer.com/blog/how-pinterest-built-holiday-finds-to-make-gift-shopping-easier) — Pinterest Holiday Finds uses smart recommendations, auto wishlists and a fresh UI to make holiday gifting easy!
- [EP 80: How Pinterest improved ABR Video Performance?](https://scaleengineer.com/blog/how-pinterest-improved-abr-video-performance) — Pinterest sped up video playback by embedding manifests in API responses and using Memcache to reduce startup latency.
- [EP 79: How Grab enabled near Real-Time analytics on their Data Lake](https://scaleengineer.com/blog/how-grab-enabled-near-real-time-analytics-on-their-data-lake) — Grab used Apache Hudi with Flink and Spark to enable near real-time analytics, ensuring fast ingestion and low-latency queries on their data lake.
- [How Discord’s "Go Live" streaming works](https://scaleengineer.com/blog/how-discord-s-go-live-streaming-works) — Discord’s “Go Live” streams in real-time by capturing, encoding, transmitting, and decoding adapting quality to your network and device.
- [EP 77: How GitHub made Push Processing faster and more Reliable](https://scaleengineer.com/blog/how-github-made-push-processing-faster-and-more-reliable) — GitHub sped up and stabilized push processing by splitting one big job into parallel Kafka-triggered tasks with better retries and monitoring.
- [EP 76: How Mixpanel Fixed Their Load Balancing Problem using Power of 2 Choices](https://scaleengineer.com/blog/how-mixpanel-fixed-their-load-balancing-problem-using-power-of-2-choices) — Mixpanel fixed Compacter’s load imbalance using Power-of-2-Choices, boosting efficiency and cutting costs by 70% with minimal changes!
- [EP 75: How Netflix built a Distributed Counter for Billions of User Interactions](https://scaleengineer.com/blog/how-netflix-built-a-distributed-counter-for-billions-of-user-interactions) — Netflix uses a smart Distributed Counter system to track billions of user actions daily with speed, accuracy, and massive scale.
- [How Stripe Scales its APIs using Rate Limiters](https://scaleengineer.com/blog/how-stripe-scales-its-apis-using-rate-limiters) — Stripe uses token buckets, concurrency limits & load shedders to scale APIs, prevent abuse & keep critical traffic flowing reliably.
- [How does UPI work?](https://scaleengineer.com/blog/how-upi-works) — UPI enables instant bank-to-bank transfers using just a UPI ID or mobile number, no bank details needed, just your app and secure PIN.
- [EP 72: How Netflix Ensures Reliability with Prioritized Load Shedding](https://scaleengineer.com/blog/how-netflix-ensures-reliability-with-prioritized-load-shedding) — Netflix ensures reliability by shedding low-priority requests during stress while keeping streaming smooth, validated through Chaos Engineering.
- [EP 71: How PayPal Solved the Thundering Herd Problem Efficiently](https://scaleengineer.com/blog/how-paypal-solved-the-thundering-herd-problem-efficiently) — PayPal’s Braintree fixed the Thundering Herd Problem using Exponential Backoff with Jitter and simplified their architecture for better scaling.
- [EP 70: How Wayfair built their Ad Bidding System?](https://scaleengineer.com/blog/how-wayfair-built-their-ad-bidding-system) — Wayfair built a smart Ad Bidding System using automation, ML, and real-time data to optimize bids, maximize ROI, and scale efficiently.
- [EP 69:  How Airbnb Rebuilt its Payment System to achieve 150x performance gains?](https://scaleengineer.com/blog/how-airbnb-rebuilt-its-payment-system-to-achieve-150x-performance-gains) — Airbnb rebuilt its payments system with SOA, a unified read layer & denormalization, boosting scalability, reliability & 150x faster transactions.
- [EP 68: How Stripe uses Similarity Clustering to detect fraud](https://scaleengineer.com/blog/how-stripe-uses-similarity-clustering-to-detect-fraud) — Stripe uses similarity clustering with XGBoost to detect fraud, linking accounts by shared traits to block fraud rings in real-time and reduce false positives.
- [EP 67: How BBC uses Serverless to handle Millions of visitors](https://scaleengineer.com/blog/how-bbc-uses-serverless-to-handle-millions-of-visitors) — BBC uses AWS Lambda to scale instantly, optimize caching, and reduce cold starts, ensuring fast, cost-efficient performance for millions of visitors.
- [EP 66: How Meta distributes Exabytes of Data across the World so fast?](https://scaleengineer.com/blog/how-meta-distributes-exabytes-of-data-across-the-world-so-fast) — Meta uses Owl, a hybrid system that mixes peer-to-peer caching with smart tracking, making data move faster, smoother, and at scale.
- [EP 65: How Quora Improved its Search System with Qdrant?](https://scaleengineer.com/blog/how-quora-improved-its-search-system-with-qdrant) — Quora moved to Qdrant for faster, scalable embedding search, improving recommendations with real-time updates, bulk loads, and optimized storage.
- [How Jira moved from JSON to Protobuf saved them 55% cost and 75% CPU?](https://scaleengineer.com/blog/how-jira-saved-55-cost-and-75-cpu-by-moving-from-json-to-protobuf) — Jira cut data size by 80%, reduced Memcached CPU by 75%, and saved 55% in costs by switching from JSON to Protobuf, improving speed and efficiency.
- [EP 63: How Quora Optimized their Databases?](https://scaleengineer.com/blog/how-quora-optimized-their-databases) — Quora optimized databases with caching, MyRocks for storage efficiency, and MySQL sharding to boost performance, cut costs, and handle scale.
- [EP 62: How Robinhood prevents Fraud using Graph Algorithms ](https://scaleengineer.com/blog/how-robinhood-prevents-fraud-using-graph-algorithms) — Robinhood prevents fraud using graph algorithms to analyze user connections, detect patterns, and enable real-time, smarter fraud detection.
- [EP 61: How Stripe achieved 99.999% uptime with DocDB (Document Database)](https://scaleengineer.com/blog/how-stripe-achieved-99-999-uptime-with-docdb-document-database) — Stripe achieved 99.999% uptime by building DocDB, a custom solution on MongoDB, enabling efficient data migration, scaling, and high availability.
- [How DoorDash transitioned from Monolith to Microservices](https://scaleengineer.com/blog/how-doordash-transitioned-from-monolith-to-microservices-be29) — DoorDash used the strangler fig pattern, scream tests, and multi-tenant architecture to smoothly transition from monolith to microservices.
- [EP 59: How Reddit designed their Metadata Store to serve 100k req/sec?](https://scaleengineer.com/blog/how-reddit-designed-their-metadata-store-to-serve-100k-req-sec) — Reddit built a high-performance metadata store using Aurora Postgres, range-based partitions, PgBouncer, and JSONB fields, handling 100k req/sec.
- [EP 58: How Facebook built its Video Delivery System?](https://scaleengineer.com/blog/how-facebook-built-its-video-delivery-system) — Facebook unified Reels, Watch, and Live, optimizing ranking, servers, and mobile to deliver personalized, efficient, and fresh video experiences.
- [EP 57: How Airbnb Processes a Million User Events Every Second?](https://scaleengineer.com/blog/how-airbnb-s-user-signals-platform-process-a-million-user-events-every-second) — How Airbnb made 1.9 Billion in 6 months and how Airbnb’s User Signals Platform uses Apache Flink & Lambda Architecture to process millions of events per second for real-time personalization.
- [EP 56: How LinkedIn Scaled to 1 billion Users?](https://scaleengineer.com/blog/how-linkedin-scaled-to-1-billion-users) — By shifting to microservices from monoliths, using tools like Hadoop, Kafka, Rest.li, LinkedIn scaled to a billion of users globally.
- [EP 55: How did Magic Pocket help Dropbox save millions? ](https://scaleengineer.com/blog/how-did-magic-pocket-help-dropbox-save-millions) — Dropbox scaled its storage with its custom-built system- Magic Pocket, and utilized high-density SMR drives, increasing its gross revenue by 75%.
- [EP 54: How Dropbox scaled its storage infrastructure? ](https://scaleengineer.com/blog/how-dropbox-scaled-its-storage-infrastructure) — Dropbox scaled its storage infrastructure with a custom-built system called Magic Pocket, utilizing high-density SMR drives and advanced data replication for durability and scalability.
- [EP 53: How TikTok Optimizes Video Streaming](https://scaleengineer.com/blog/how-tiktok-optimizes-video-streaming) — TikTok boosts streaming by preloading videos, optimizing buffers, and reusing media players, with on-device upscaling and task distribution for smooth playback on all networks.
- [EP 52: How GitHub manages continuous integration and deployment](https://scaleengineer.com/blog/how-github-manages-continuous-integration-and-deployment) — GitHub manages CI/CD by automating testing, building, and deploying code changes, allowing developers to release updates faster and with confidence. 
- [EP 51: How Instagram handled user growth and scale?](https://scaleengineer.com/blog/how-instagram-handled-user-growth-and-scale) — Instagram achieved rapid user growth by maintaining a simple and efficient tech stack, utilizing AWS, Django, and Postgres also effectively managing traffic with load balancing, caching, and data sharding to handle the increasing demand.
- [EP 50: How Google search works?](https://scaleengineer.com/blog/how-google-search-works) — Google Search works by using crawlers to scan and index web pages, then processes your queries to rank and display relevant results in seconds. 
- [EP 49: How Stripe Handles Global Payments Technology](https://scaleengineer.com/blog/how-stripe-handles-global-payments-technology) — Stripe utilizes a tech stack of Ruby and JavaScript to enable secure, compliant global payments and currency conversion.
- [EP 48: How Tinder Streams to 75 Million Users with HTTP Live Streaming](https://scaleengineer.com/blog/how-tinder-streams-to-75-million-users-with-http-live-streaming) — Tinder used HTTP Live Streaming (HLS) & AWS CloudFront to deliver Swipe Night videos efficiently, ensuring seamless, adaptive playback.
- [How Netflix Secures Content Delivery using Open Connect CDN?](https://scaleengineer.com/blog/how-netflix-secures-content-delivery) — Netflix secures content delivery through its proprietary Open Connect CDN, which caches content on local servers, ensuring low-latency streaming and minimizing network congestion.
- [EP 46: How Uber Manages Real-Time Analytics with Apache Flink](https://scaleengineer.com/blog/how-uber-manages-real-time-analytics-with-apache-flink) — Uber Eats uses real-time data processing with Apache Kafka, Flink, and Pinot to manage order updates, optimize delivery logistics, and provide quick analytics for efficient and accurate food delivery.
- [EP 45: How Slack Maintains Reliability and Uptime](https://scaleengineer.com/blog/how-slack-maintains-reliability-and-uptime) — Slack maintains reliability and uptime through automated incident detection, real-time collaboration, proactive monitoring, and a resilient microservices architecture.
- [How Zoom Ensures Low Latency Video Calls](https://scaleengineer.com/blog/how-zoom-ensures-low-latency-video-calls) — Zoom ensures low latency by using distributed data centers, optimized video encoding, and adaptive bitrate streaming to maintain real-time communication quality.
- [EP 43: How Amazon Personalizes Product Recommendations](https://scaleengineer.com/blog/how-amazon-personalizes-product-recommendations) — Amazon personalizes product recommendations using machine learning, collaborative filtering, and user interaction data to tailor suggestions based on individual preferences
- [EP 42: How Pinterest Scales Their Image Search with Elasticsearch](https://scaleengineer.com/blog/how-pinterest-scales-their-image-search-with-elasticsearch) — Pinterest scales its image search by using Elasticsearch for fast indexing, real-time search, and advanced machine learning features.
- [EP 41: How Facebook Handles Billions of Messages Daily](https://scaleengineer.com/blog/how-facebook-handles-billions-of-messages-daily) — Facebook manages billions of daily messages using scalable servers, distributed systems and advanced algorithms for efficient processing and real-time delivery.
- [EP 40: How Airbnb Uses Machine Learning for Dynamic Pricing](https://scaleengineer.com/blog/how-airbnb-uses-machine-learning-for-dynamic-pricing) — Airbnb uses machine learning to dynamically set rental prices, optimizing revenue and enhancing guest experiences.
- [EP 39: How Twitter Manages High Availability with Kubernetes](https://scaleengineer.com/blog/how-twitter-manages-high-availability-with-kubernetes) — Twitter achieves high availability with Kubernetes through multi-node deployments, load balancing, and data center redundancy.
- [EP 38: How Spotify Optimized Their Recommendation System](https://scaleengineer.com/blog/how-spotify-optimized-their-recommendation-system) — Spotify optimized recommendations by combining collaborative filtering, content-based filtering, and audio analysis to deliver highly personalized music recommendations.
- [EP 37: What is OAuth?](https://scaleengineer.com/blog/what-is-oauth) — OAuth is an open standard protocol that allows users to grant apps access to their data without sharing their passwords.
- [EP 36: What is Load Balancing?](https://scaleengineer.com/blog/what-is-load-balancing) — Load balancing distributes network traffic across multiple servers to avoid overload.
- [What is Grafana?](https://scaleengineer.com/blog/what-is-grafana) — Grafana is an open-source platform for monitoring and  visualizing real-time metrics from various sources.
- [What is Kibana?](https://scaleengineer.com/blog/what-is-kibana) — Kibana is an open-source data visualization tool that works with Elasticsearch to create interactive charts, graphs, and dashboards for exploring and analyzing data.
- [What is MongoDB?](https://scaleengineer.com/blog/what-is-mongodb) — MongoDB is a NoSQL database that stores data in flexible, JSON-like documents.
- [What is ⁠PostgreSQL?](https://scaleengineer.com/blog/what-is-postgresql) — PostgreSQL is a robust, open-source object-relational database system known for advanced features, scalability, and support for complex queries.
- [What is RabbitMQ?](https://scaleengineer.com/blog/what-is-rabbitmq) — RabbitMQ is an open-source message broker for reliable, scalable communication between applications.
- [EP 30: What is Elasticsearch?](https://scaleengineer.com/blog/what-is-elasticsearch) — Elasticsearch is a distributed, open-source search and analytics engine designed to handle large volumes of data in real-time. 
- [EP 29: What is Cassandra?](https://scaleengineer.com/blog/what-is-cassandra) — Cassandra is a scalable, distributed NoSQL database for handling large data with high availability.
- [EP 28: What is Kafka?](https://scaleengineer.com/blog/what-is-kafka) — Kafka is a distributed streaming platform for real-time data with low latency and high throughput.
- [EP 27: What is Kubernetes?](https://scaleengineer.com/blog/what-is-kubernetes) — Kubernetes orchestrates and automates the deployment, scaling, and management of containerized applications.
- [EP 26: What is Docker?](https://scaleengineer.com/blog/what-is-docker) — Docker simplifies application deployment by packaging software into standardized containers.
- [Exclusive Git Cheat Sheet from Hello, World!](https://scaleengineer.com/blog/exclusive-git-cheat-sheet-hello-world) — We've got something exciting to share with you that will help you with your Git skills.
- [EP 25: What is DMARC Record? Why is it used?](https://scaleengineer.com/blog/what-is-dmarc-record-why-is-it-used) — DMARC prevents email spoofing and phishing by authenticating email senders.
- [EP 24: What is DKIM Record? Why is it used?](https://scaleengineer.com/blog/what-is-dkim-record-why-is-it-used) — DKIM is an email authentication protocol that enhances email security by preventing domain-based phishing attacks.
- [What is WebRTC?](https://scaleengineer.com/blog/what-is-webrtc) — WebRTC enables browser-based real-time communication without plugins.
- [EP 22: What is SPF Record? Why is it used?](https://scaleengineer.com/blog/what-is-spf-record-why-is-it-used) — An SPF record controls which servers can send emails for a domain, preventing email fraud.
- [What are WebSockets?](https://scaleengineer.com/blog/what-are-websocket) — Two-way real-time communication between client-server over a single connection.
- [What is Micro Frontend Architecture?](https://scaleengineer.com/blog/micro-frontend-architecture) — Micro frontends are extending the concepts of micro services to the frontend world.
- [What is Blockchain?](https://scaleengineer.com/blog/what-is-blockchain-and-how-is-cryptocurrency-related-to-it) — Blockchain is a decentralized ledger technology that records transactions securely in an immutable chain of blocks.
- [How does CDN work? ](https://scaleengineer.com/blog/how-does-cdn-works) — A CDN is a network of servers that cache and deliver digital content from the closest server to users, reducing website loading times and improving user experience.
- [What is hashing and what different types are there?](https://scaleengineer.com/blog/what-is-hashing-and-what-different-types-are-there) — Hashing is a way to convert data into a shorter code for secure storage or comparison.
- [What is URL, URI, and URN?](https://scaleengineer.com/blog/what-is-url-uri-and-urn) — A URI identifies a resource, URL specifies its internet location and a URN assigns a unique name.
- [What is an API Gateway?](https://scaleengineer.com/blog/what-is-an-api-gateway) — An API gateway directs requests, enforces policies, and streamlines user experience by coordinating services and handling protocol translations.
- [What is UDP?](https://scaleengineer.com/blog/what-is-udp) — UDP is a lightweight, connectionless protocol for fast data transmission without the guarantee of delivery.
- [What is TCP?](https://scaleengineer.com/blog/what-is-tcp) — TCP is a protocol that ensures reliable and ordered delivery of data packets over the internet.
- [What is Serverless?](https://scaleengineer.com/blog/what-is-serverless) — Serverless are types of servers without the headache of server management.
- [What is HTTP?](https://scaleengineer.com/blog/what-is-http) — HTTP is a connectionless and stateless protocol used all over the internet.
- [What is Redis Cache and Database?](https://scaleengineer.com/blog/what-is-redis) — Redis is a open source service to help you cache and fetch data in rocket speed.
- [What is CI/CD and why is it even needed?](https://scaleengineer.com/blog/what-is-ci-cd-and-why-is-it-even-needed) — It's the automation that makes developer life simpler and efficient!
- [What is Encryption and what different types are there?](https://scaleengineer.com/blog/what-is-encryption-and-different-types-of-encryption) — How are we protected on the internet when everyone is trying to get our data?
- [What is DNS, and how does it work?](https://scaleengineer.com/blog/what-is-dns-and-how-does-it-work) — Why is DNS so important that Facebook, Instagram and Whatsapp had a outage due to that?
- [What is an IP address?](https://scaleengineer.com/blog/what-is-an-ip-address) — It's the house address but for your digital devices
- [What are microservices?](https://scaleengineer.com/blog/what-are-microservices) — Netflix uses microservices but Google doesn't. But what exactly is that?
- [What is an ORM?](https://scaleengineer.com/blog/what-is-an-orm) — Ever thought of skipping database languages? ORM is for you!
- [Reverse proxy vs Forward proxy?](https://scaleengineer.com/blog/what-is-reverse-proxy-and-forward-proxy) — Do you know how website handles traffic?
- [What the hell are JWT tokens?](https://scaleengineer.com/blog/what-is-jwt-token) — Everyone is talking about them, but what are they?
- [What is an API?](https://scaleengineer.com/blog/what-is-an-api) — API are everywhere but do you know what are they?
- [Naming the newsletter and Choosing your Poison](https://scaleengineer.com/blog/hello-world) — What's the reason behind naming this newsletter and the first code that we all wrote and hopeful everyone will in future.