# Blog Articles and guides on software engineering, system design, and career growth. - [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. - [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.