One HLD concept. 60 seconds. Interview ready

Ch 1Understanding HLD Interviews3/3

1. #001What FAANG Interviewers Evaluate in System Design Interviews
2. #002Understanding High-Level Design (HLD) and Low-Level Design (LLD)
3. #003Understanding Functional and Non-Functional Requirements

Ch 2Requirements4/4

1. #004Understanding Scalable System Design in FAANG Companies
2. #005Understanding Latency, Throughput, and Response Time
3. #006Understanding Availability vs Reliability in System Design
4. #007Understanding Latency and Throughput in System Design

Ch 3Scaling Fundamentals3/3

1. #008Understanding Vertical and Horizontal Scaling in System Design
2. #009Stateless vs Stateful Servers: Scaling Made Easy
3. #010Monolith vs Microservices: Choosing the Right Architecture

Ch 4Load Balancing3/3

1. #011Understanding Load Balancers in System Design
2. #012L4 vs L7 Load Balancers: Key Differences Explained
3. #013Understanding Reverse Proxy in High-Level Design

Ch 5CDN & Caching4/4

1. #014Understanding CDN: How Cache Hits Improve Performance
2. #015Understanding Cache Hits: Reducing Database Load
3. #016Understanding the Cache-Aside Pattern in System Design
4. #017Redis: Why Is It So Fast for High-Scale Systems?

Ch 6SQL & NoSQL5/5

1. #018SQL vs NoSQL: Choosing the Right Database for Your Needs
2. #019Understanding Database Replication in High-Level Design
3. #020Understanding Sharding: How Databases Manage Large Data
4. #021FAANG HLD 🔥 | Partition Pruning Explained — Scan Less, Query Faster! ⚡
5. #022B-Tree Index: Efficient Database Navigation

Ch 7Database Scaling3/3

1. #023Read-After-Write Consistency in Database Systems
2. #024Understanding Read Replicas in Database Scaling
3. #025Identifying and Optimizing Database Bottlenecks

Ch 8CAP & Consistency3/3

1. #026Understanding CAP Theorem: Trade-offs in Distributed Systems
2. #027Understanding Consistency Models in Distributed Systems
3. #028Understanding Quorum Reads in Distributed Systems

Ch 9Distributed Coordination3/3

1. #029Leader Election in Distributed Systems: Handling Leader Failures
2. #030Log Replication and Majority Commit in Distributed Systems
3. #031Consistent Hashing: Key to Distributed Systems Scalability

Ch 10Cache Architecture3/3

1. #032Distributed Caching: Why Spread It Out?
2. #033Cache Eviction Policies: LRU, LFU, and FIFO Explained
3. #034Cache Invalidation: TTL vs Freshness Explained

Ch 11Cache Failure Patterns3/3

1. #035Understanding Cache Stampede in High-Level Design
2. #036Understanding Cache Penetration in System Design
3. #037Understanding Cache Breakdown and Request Coalescing

Ch 12Rate Limiting2/2

1. #038Token Bucket Rate Limiting Explained for Interviews
2. #039Token Bucket vs Leaky Bucket: Key Differences Explained

Ch 13API Gateway2/2

1. #040API Gateway: The Front Door of Your System
2. #041API Gateway vs Proxy vs Load Balancer: Key Differences

Ch 14Service Discovery2/2

1. #042Service Discovery in Microservices Architecture
2. #043DNS Service Discovery: Is DNS Enough for Microservices?

Ch 15DNS2/2

1. #044Understanding DNS Record Types: A, CNAME, MX, and More
2. #045Understanding DNS Resolution: How URLs Load in Browsers

Ch 16TCP & TLS3/3

1. #046Understanding TCP 3-Way Handshake: SYN, SYN-ACK, ACK
2. #047Understanding the TLS Handshake in HTTPS Connections
3. #048HTTP vs HTTPS: Understanding the Key Differences

Ch 17HTTP2/2

1. #049Understanding HTTP Methods and Status Codes
2. #050REST API Design: Building Scalable APIs for Real-World Use

Ch 18API Performance1/1

1. #051API Pagination: Efficiently Handling Large Datasets

Ch 19Database Query Optimization2/2

1. #052Database Indexing: How to Make Queries Fast
2. #053Composite Indexes: Speed Up Multi-Column Queries in Databases

Ch 20Database Scaling1/1

1. #054Read vs Write Scaling: How to Scale Databases

Ch 21Replication2/2

1. #055Database Replication: Scale and Survive Failures
2. #056Sync vs Async Replication: Choosing the Right Approach

Ch 22Failure Recovery2/2

1. #057Failover and Split-Brain in High-Level Design
2. #058Understanding Write-Ahead Log (WAL) in Databases

Ch 23Transactions2/2

1. #059Understanding Transactions and ACID Properties in Databases
2. #060Understanding Database Isolation Levels in Software Engineering

Ch 24Locking1/1

1. #061Optimistic vs Pessimistic Locking in Database Management

Ch 25Distributed Transactions4/4

1. #062Understanding 2-Phase Commit in Distributed Transactions
2. #063Understanding the Saga Pattern in Distributed Transactions
3. #064Transactional Outbox Pattern: Never Lose Events!
4. #065Understanding Idempotency in System Design

Ch 26Messaging2/2

1. #066Understanding Message Queues in Distributed Systems
2. #067Queue vs Pub/Sub: Key Differences in System Design

Ch 27Kafka Architecture2/2

1. #068Understanding Apache Kafka for Scalable Event Streaming
2. #069Understanding Kafka Partitioning for Scalable Messaging

Ch 28Delivery Semantics3/3

1. #070Message Delivery Semantics: At-Most-Once vs At-Least-Once vs Exactly-Once
2. #071Understanding Kafka Consumer Lag and Its Impact
3. #072Kafka Retention vs Compaction: History or Latest State?

Ch 29Kafka Reliability3/3

1. #073Kafka Exactly-Once Processing: Avoiding Duplicates
2. #074Kafka Schema Evolution: Changing Schemas Without Breaking Consumers
3. #075Kafka Producer Reliability: ACKs, Retries & Idempotence

Ch 30Ordering1/1

1. #076Kafka Ordering and Keys: Ensuring Message Order

Ch 31Offsets3/3

1. #077Kafka Consumer Offsets: Auto Commit vs Manual Commit
2. #078Understanding Kafka Retries and Dead Letter Queue (DLQ)
3. #079FAANG HLD 🔥 | Kafka Backpressure Explained — What Happens When Consumers Can't Keep Up? 🚨

Ch 32Brokers & Replication3/3

1. #080Understanding Kafka Brokers, Controllers, and KRaft Architecture
2. #081Kafka Replication and ISR: Ensuring Data Availability
3. #082Kafka Partition Reassignment: Move Replicas Without Data Loss

Ch 33Rebalancing5/5

1. #083Kafka Consumer Group Rebalancing Explained
2. #084Kafka Consumer Assignment Strategies: Range vs RoundRobin vs Sticky
3. #085Kafka Consumer Liveness: Heartbeats, Sessions & Timeouts Explained
4. #086Kafka Consumer Lag Monitoring: Prevent Production Issues
5. #087Kafka Lag Recovery Time: How Fast Can Consumers Catch Up?

Ch 34Consumer Performance5/5

1. #088Kafka Consumer Fetch & Batching: Boosting Throughput
2. #089Kafka Fetch Limits vs Poll Records: Understanding the Difference
3. #090Kafka Eager vs Cooperative Rebalancing: Key Differences
4. #091Kafka Static Membership: Reducing Unnecessary Rebalancing
5. #092Understanding Kafka Rebalance Listeners in High-Level Design

Ch 35Offset Reset2/2

1. #093Understanding Kafka Offset Reset: Earliest vs Latest
2. #094Kafka Replay Safely: Reprocess Messages Without Losing Data

Ch 36Offset Commits3/3

1. #095Kafka Commit Strategies: Auto vs Manual Commit Explained
2. #096Kafka commitSync vs commitAsync: Choosing the Right Method
3. #097Kafka Async Commit Ordering: Can Older Offsets Overwrite Newer Ones?

Ch 37Parallel Processing3/3

1. #098Kafka Consumer Concurrency: Understanding Partitions and Threads
2. #099Kafka Consumer Multithreading: Processing Messages in Parallel
3. #100Kafka Consumer Parallelism: Partitions, Keys, and Throughput

Ch 38Backpressure & Lifecycle3/3

1. #101Kafka Consumer Pause & Resume: Managing Backpressure Smartly
2. #102Kafka Backpressure Strategies: Handling Traffic Spikes
3. #103Kafka Graceful Shutdown: Stop Without Losing Work

Ch 39Retry Architecture4/4

1. #104Kafka Error Handling and Retry Strategies in HLD
2. #105Kafka Retry Topics and Delayed Retries Explained
3. #106Understanding Kafka Dead Letter Topics and Poison Messages
4. #107Kafka Poison Messages: Risks of Infinite Retries

Ch 40Reprocessing4/4

1. #108Kafka Consumer Reprocessing: Safe Event Replay Strategies
2. #109Kafka Replay Without Breaking Production: Safe Architecture
3. #110Kafka Pause vs Seek: Key Differences Explained
4. #111FAANG HLD 🔥 | Kafka Seek — Replay Specific Messages Without Replaying Everything! 🎯

Ch 41Partition Assignment2/2

1. #112Kafka subscribe() vs assign(): Who Controls Partition Assignment?
2. #113Kafka Manual Partition Assignment: Using assign() for Control

Ch 42Failure Recovery3/3

1. #114Kafka Rebalance: Avoiding Work Loss or Duplication
2. #115Kafka Consumer Crash Recovery: Resuming Processing Explained
3. #116Kafka Consumer State: Position, Offset, and Business State

Ch 43Stateful Processing3/3

1. #117Kafka Stateful Stream Processing: How Does It Remember?
2. #118Kafka Streams vs Consumer: Choosing the Right Tool
3. #119Kafka Streams Local State: Fast Processing and Recovery

Ch 44Windowing1/1

1. #120Kafka Streams Windowing: Tumbling vs Hopping Windows Explained

Ch 45Distributed Locks2/2

1. #121Distributed Locks: Preventing Duplicate Work Across Servers
2. #122Choosing a Distributed Lock: Redis vs Database vs ZooKeeper

Ch 46Leader Election2/2

1. #123Leader Election in Distributed Systems Explained
2. #124Leader Election Algorithms: Bully vs Raft vs ZooKeeper

Ch 47Consensus6/6

1. #125Understanding Consensus in Distributed Systems
2. #126Understanding Raft Consensus: Terms, Elections & Log Replication
3. #127Understanding Raft Log Replication: matchIndex vs commitIndex
4. #128Raft Leader Failure and Re-election Process Explained
5. #129FAANG HLD 🔥 | Raft Safety — Why Committed Entries Survive Leader Failure! 🛡️
6. #130Understanding Quorum and Majority in Distributed Systems

Ch 48Other Consensus Systems5/5

1. #131Paxos Consensus: Understanding Distributed Agreement
2. #132FAANG HLD 🔥 | Raft vs Paxos — What's the Difference? Consensus Explained! ⚡
3. #133ZooKeeper Architecture and ZAB Explained
4. #134Understanding ZooKeeper Ephemeral and Sequential Nodes
5. #135ZooKeeper Watches: Avoiding the Thundering Herd Problem

Ch 49Failure Models5/5

1. #136HLD: Crash Failures vs Network Failures in Distributed Systems
2. #137HLD: Fail-Stop vs Fail-Recover Explained
3. #138Understanding Network Partitions in Distributed Systems
4. #139Understanding Partial Failure in Distributed Systems
5. #140HLD: Understanding Server Failure Detection and Timeouts

Ch 50Time & Ordering5/5

1. #141Understanding Distributed Clocks in Systems Design
2. #142Understanding Physical vs Logical Time in Distributed Systems
3. #143Understanding Lamport Timestamps in Distributed Systems
4. #144Understanding Vector Clocks in Distributed Systems
5. #145Understanding Causality in Distributed Systems

Ch 51RPC5/5

1. #146Understanding RPC: Remote Procedure Calls in Distributed Systems
2. #147HLD: Understanding REST, RPC, and gRPC Differences
3. #148Understanding gRPC Architecture: Behind the Call
4. #149Protobuf and Schema Evolution: Avoid Breaking Changes
5. #150Understanding Unary vs Streaming RPC in gRPC

Ch 52Service Communication5/5

1. #151HLD: Synchronous vs Asynchronous Communication Explained
2. #152HLD: Understanding Request-Response vs Events in System Design
3. #153HLD: 5 Microservices Communication Patterns Explained
4. #154Connection Pooling Explained: Why a Bigger Pool Can Hurt
5. #155Keep-Alive in Networking: Efficient HTTP Connections

Ch 53Microservices Fundamentals5/5

1. #156When to Use Microservices in Software Design
2. #157HLD: Microservices vs Modular Monolith Explained
3. #158Choosing Service Boundaries in Microservices Architecture
4. #159Understanding Database per Service in Microservices Architecture
5. #160HLD: Shared DB vs Database per Service Trade-Offs

Ch 54Microservices Reliability5/5

1. #161HLD: Circuit Breaker Explained to Prevent Failures
2. #162Understanding the Retry Pattern in System Design
3. #163HLD Timeout Pattern: Understanding Timeouts in Distributed Systems
4. #164Understanding the Bulkhead Pattern in System Design
5. #165HLD: Fallbacks Explained for System Design

Ch 55Failure Protection5/5

1. #166Understanding Retry Storms in Distributed Systems
2. #167Exponential Backoff: Managing Retry Storms in Systems
3. #168Understanding Jitter in High-Level Design
4. #169Understanding Circuit Breaker: CLOSED, OPEN, and HALF-OPEN States
5. #170Cascading Failures in Distributed Systems Explained

Ch 56Resilient Architecture5/5

1. #171Load Shedding in Distributed Systems: Protecting Capacity
2. #172Graceful Degradation in System Design
3. #173Distributed Backpressure: Managing Service Overload
4. #174HLD: Fail Fast vs Fail Safe in System Design
5. #175HLD: Managing Dependency Failures in Distributed Systems

Ch 57Observability Fundamentals5/5

1. #176Understanding Logs, Metrics, and Traces in Software Engineering
2. #177Observability in Distributed Systems: Debugging Production Issues
3. #178Structured Logging: Debugging Production Issues Faster
4. #179Understanding Correlation IDs in Microservices Architecture
5. #180Understanding Distributed Tracing in Microservices Architecture

Ch 58Metrics & Monitoring5/5

1. #181Understanding the RED Method for Microservices Monitoring
2. #182Understanding the USE Method for Infrastructure Bottlenecks
3. #183Understanding SLIs, SLOs, and SLAs in Reliability Engineering
4. #184Understanding Error Budgets in High-Level Design
5. #185Understanding Alerting in High-Level Design

Ch 59Search Fundamentals5/5

1. #186HLD: Search Engine Architecture and Its Components
2. #187Inverted Index: How Search Engines Find Pages Efficiently
3. #188HLD: Tokenization and Analyzers in Search Engines
4. #189HLD: Stemming and Normalization in Search Engines
5. #190HLD: Full-Text Search vs Database Search with Elasticsearch

Ch 60Elasticsearch / OpenSearch5/5

1. #191Elasticsearch Architecture: How Distributed Search Works
2. #192Elasticsearch Shards vs Replicas: Partitioning vs Duplication
3. #193Elasticsearch Indexing: Why Can't You Search Your Document Yet?
4. #194Elasticsearch Query Execution: How Searches Work Across Shards
5. #195Elasticsearch Refresh: Why Your Document Isn’t Searchable Yet

Ch 61Object Storage5/5

1. #196Understanding Elasticsearch Relevance Scoring with BM25
2. #197Elasticsearch Filters vs Queries: MUST vs FILTER Explained
3. #198Elasticsearch Aggregations: Metrics vs Buckets Explained
4. #199Elasticsearch Pagination: From & Size vs Search After
5. #200Understanding Elasticsearch ILM: Hot, Warm, Cold Phases

Ch 62Distributed Files5/5

1. #201Elasticsearch Aliases and Rollover: Zero-Downtime Index Switching
2. #202Understanding Elasticsearch Data Streams in HLD
3. #203Understanding Elasticsearch Index Templates and Components
4. #204Elasticsearch Mapping: Dynamic vs Explicit Explained
5. #205Understanding Elasticsearch Shards and Replicas in HLD

Ch 63Storage Engines5/5

1. #206Elasticsearch Cluster Sizing: How Many Nodes Do You Need?
2. #207Understanding Elasticsearch Node Roles for Scaling Clusters
3. #208Elasticsearch Split Brain: Master Election and Quorum Explained
4. #209Understanding Elasticsearch Snapshots: Replicas vs Backups
5. #210Understanding Elasticsearch Cross-Cluster Replication (CCR)

Ch 64Database Internals5/5

1. #211Understanding Elasticsearch ILM for Cost Management
2. #212Elasticsearch Data Streams vs. Time-Based Indices: Which to Choose?
3. #213Elasticsearch Zero-Downtime Reindexing: The Alias Switch Trick
4. #214Elasticsearch Reindexing: Understanding the Dual-Write Trap
5. #215Elasticsearch Query Optimization: Filters and Caching

Ch 65Key-Value Stores1/1

1. #216Elasticsearch Pagination: Fixing Slow Page Searches

ChSearch Relevance & Vector Retrieval4/13

1. #217Elasticsearch Aggregations: Buckets, Metrics, and Cardinality
2. #218Elasticsearch Autocomplete: Completion vs. Edge N-Grams vs. Search-as-You-Type
3. #219Elasticsearch Fuzzy Search: Handling Typos in Queries
4. #220Understanding Elasticsearch Synonyms and Analyzers
5. #221Elasticsearch Relevance Scoring: BM25, Field Boosting & Query TuningSoon
6. #222Elasticsearch Function Score: Business Signals, Recency & Decay FunctionsSoon
7. #223Elasticsearch Rescoring: Two-Stage Ranking & Query RescoreSoon
8. #224Elasticsearch Hybrid Search: BM25, Vector Search & Reciprocal Rank Fusion (RRF)Soon
9. #225Elasticsearch Semantic Search: Embeddings, Inference & Vector IndexingSoon
10. #226Dynamo-Style DatabasesSoon
11. #227Consistent Hashing in Dynamo-Style SystemsSoon
12. #228Quorum-Based ReplicationSoon
13. #229Hinted HandoffSoon

Ch 66NoSQL Patterns0/5

1. #230Cassandra ArchitectureSoon
2. #231Cassandra Partition KeysSoon
3. #232Cassandra Clustering KeysSoon
4. #233MongoDB ArchitectureSoon
5. #234MongoDB ShardingSoon

Ch 67Time-Series Systems0/5

1. #235Time-Series Database ArchitectureSoon
2. #236Time-Series Data ModelingSoon
3. #237Retention PoliciesSoon
4. #238Time-Based PartitioningSoon
5. #239Downsampling & AggregationSoon

Ch 68Analytics0/5

1. #240OLTP vs OLAPSoon
2. #241Data Warehouse ArchitectureSoon
3. #242Data Lake ArchitectureSoon
4. #243Data Lakehouse ArchitectureSoon
5. #244Batch vs Stream ProcessingSoon

Ch 69Stream Processing0/5

1. #245Stream Processing ArchitectureSoon
2. #246Event Time vs Processing TimeSoon
3. #247WatermarksSoon
4. #248Late-Arriving EventsSoon
5. #249Windowed AggregationsSoon

Ch 70Data Pipelines0/5

1. #250ETL vs ELTSoon
2. #251Change Data CaptureSoon
3. #252Database CDC with KafkaSoon
4. #253Event SourcingSoon
5. #254CQRSSoon

Ch 71Authentication0/5

1. #255Authentication vs AuthorizationSoon
2. #256Session-Based AuthenticationSoon
3. #257JWT AuthenticationSoon
4. #258OAuth 2.0Soon
5. #259OpenID ConnectSoon

Ch 72API Security0/5

1. #260API KeysSoon
2. #261Access Tokens vs Refresh TokensSoon
3. #262Token Expiration & RotationSoon
4. #263mTLSSoon
5. #264Zero Trust ArchitectureSoon

Ch 73Data Security0/5

1. #265Encryption at Rest vs Encryption in TransitSoon
2. #266Symmetric vs Asymmetric EncryptionSoon
3. #267Hashing vs EncryptionSoon
4. #268Password Hashing & SaltSoon
5. #269Key Management SystemsSoon

Ch 74Application Security0/5

1. #270SQL InjectionSoon
2. #271Cross-Site ScriptingSoon
3. #272CSRFSoon
4. #273SSRFSoon
5. #274Secure API DesignSoon

Ch 75Global Architecture0/5

1. #275Single Region vs Multi-RegionSoon
2. #276Active-Passive ArchitectureSoon
3. #277Active-Active ArchitectureSoon
4. #278Global Load BalancingSoon
5. #279GeoDNSSoon

Ch 76Global Data0/5

1. #280Cross-Region Database ReplicationSoon
2. #281Multi-Region Data ConsistencySoon
3. #282Data ResidencySoon
4. #283Global FailoverSoon
5. #284Disaster Recovery Across RegionsSoon

Ch 77Disaster Recovery0/5

1. #285Backup vs ReplicationSoon
2. #286RPO & RTOSoon
3. #287Backup StrategiesSoon
4. #288Point-in-Time RecoverySoon
5. #289Disaster Recovery TestingSoon

Ch 78Availability Architecture0/5

1. #290High Availability ArchitectureSoon
2. #291Fault DomainsSoon
3. #292Availability ZonesSoon
4. #293N+1 RedundancySoon
5. #294Eliminating Single Points of FailureSoon

Ch 79Containers0/5

1. #295Containers vs Virtual MachinesSoon
2. #296Container NetworkingSoon
3. #297Container StorageSoon
4. #298Container Health ChecksSoon
5. #299Container ScalingSoon

Ch 80Kubernetes0/5

1. #300Kubernetes ArchitectureSoon
2. #301Kubernetes Pods & DeploymentsSoon
3. #302Kubernetes ServicesSoon
4. #303Kubernetes IngressSoon
5. #304Kubernetes Horizontal Pod AutoscalingSoon

Ch 81Cloud Architecture0/5

1. #305IaaS vs PaaS vs SaaSSoon
2. #306Cloud Load BalancersSoon
3. #307Cloud Auto ScalingSoon
4. #308Cloud Storage ArchitectureSoon
5. #309Cloud Database ArchitectureSoon

Ch 82Infrastructure Architecture0/5

1. #310Infrastructure as CodeSoon
2. #311Immutable InfrastructureSoon
3. #312Blue-Green DeploymentSoon
4. #313Canary DeploymentSoon
5. #314Rolling DeploymentSoon

Ch 83Core Architecture Patterns0/5

1. #315API Gateway PatternSoon
2. #316Backend-for-Frontend PatternSoon
3. #317Strangler Fig PatternSoon
4. #318Sidecar PatternSoon
5. #319Ambassador PatternSoon

Ch 84Distributed Architecture Patterns0/5

1. #320Event-Driven ArchitectureSoon
2. #321Pub/Sub ArchitectureSoon
3. #322Event Sourcing ArchitectureSoon
4. #323CQRS ArchitectureSoon
5. #324Materialized View PatternSoon

Ch 85Social & Communication Systems0/5

1. #325Design WhatsAppSoon
2. #326Design a Chat SystemSoon
3. #327Design TelegramSoon
4. #328Design SlackSoon
5. #329Design a Notification SystemSoon

Ch 86Content & Media0/5

1. #330Design YouTubeSoon
2. #331Design NetflixSoon
3. #332Design InstagramSoon
4. #333Design TikTokSoon
5. #334Design a Video Upload & Processing SystemSoon

Ch 87Commerce & Payments0/5

1. #335Design AmazonSoon
2. #336Design an E-Commerce CartSoon
3. #337Design a Payment SystemSoon
4. #338Design a Payment GatewaySoon
5. #339Design an Order Management SystemSoon

Ch 88Location & Travel0/5

1. #340Design UberSoon
2. #341Design Google MapsSoon
3. #342Design a Ride Matching SystemSoon
4. #343Design a Location Tracking SystemSoon
5. #344Design a Food Delivery SystemSoon

Ch 89Productivity & Platforms0/5

1. #345Design Google DriveSoon
2. #346Design DropboxSoon
3. #347Design Google Docs CollaborationSoon
4. #348Design a Distributed Task SchedulerSoon
5. #349Design a Job Queue SystemSoon

Ch 90High-Scale Systems0/5

1. #350Design a URL ShortenerSoon
2. #351Design Twitter / XSoon
3. #352Design a News FeedSoon
4. #353Design a Recommendation SystemSoon
5. #354Design a Trending Topics SystemSoon

Ch 91Distributed Infrastructure0/5

1. #355Design a Distributed Rate LimiterSoon
2. #356Design a Distributed Lock ServiceSoon
3. #357Design a Distributed ID GeneratorSoon
4. #358Design Snowflake-Style Unique IDsSoon
5. #359Design a Distributed Configuration ServiceSoon

Ch 92Interview Problem Solving0/5

1. #360How to Estimate QPS in a System Design InterviewSoon
2. #361How to Estimate Storage RequirementsSoon
3. #362How to Estimate BandwidthSoon
4. #363How to Estimate Cache SizeSoon
5. #364How to Estimate Database CapacitySoon

Ch 93Architecture Decision Making0/5

1. #365How to Choose the Right DatabaseSoon
2. #366How to Choose Between SQL and NoSQLSoon
3. #367How to Choose Between Kafka, Queue & Pub/SubSoon
4. #368How to Choose Between Cache, Database & Search EngineSoon
5. #369How to Present a Complete System Design in a FAANG InterviewSoon