Architecting Distributed Databases for Scale and Resilience Explained скачать в хорошем качестве

Architecting Distributed Databases for Scale and Resilience Explained

This video dives into how modern distributed databases are designed to handle massive scale while remaining reliable in the face of hardware failures, network partitions, and traffic spikes. It explains the core architectural principles required to build systems that stay available, consistent, and performant across multiple regions. You will learn how the CAP Theorem shapes database design decisions, why sharding is essential for horizontal scalability, and how replication strategies keep data accessible during outages. The video also compares strong, eventual, and causal consistency models, and shows how patterns like Sagas replace traditional transactions in distributed environments. In addition, this breakdown covers caching layers, automated failover, monitoring, and observability tools that ensure resilience and operational stability. It is an essential resource for system design interviews, backend engineers, cloud architects, and anyone building large-scale data platforms. #distributeddatabases #systemdesign #scalablesystems #softwarearchitecture #backenddevelopment #distributedsystems #microservices #cloudcomputing #highavailability #faulttolerance #resilience #captheorem #consistency #availability #partitiontolerance #sharding #datapartitioning #replication #leaderfollower #multileader #peerToPeer #georeplication #failover #disasterrecovery #caching #redis #memcached #databases #sql #nosql #newsql #distributeddb #transactions #sagapattern #twophasecommit #eventualconsistency #strongconsistency #linearizability #causalconsistency #snapshotisolation #mvcc #concurrencycontrol #locking #optimisticlocking #pessimisticlocking #dataintegrity #durability #acid #base #eventdriven #asynchronous #messagequeues #kafka #rabbitmq #pubsub #loadbalancing #latency #throughput #performanceengineering #scalabilityengineering #capacityplanning #benchmarking #p99latency #profiling #observability #monitoring #logging #tracing #opentelemetry #prometheus #grafana #alerting #cloudnative #kubernetes #docker #serviceMesh #istio #linkerd #infrastructure #devops #reliabilityengineering #sre #platformengineering #techarchitecture #engineeringdesign #softwareengineering #programming #coding #tech #computerscience #backend #cloud #aws #gcp #azure #bigdata #dataengineering #datapipelines #streamprocessing #realtimeanalytics #datamodeling #indexing #searchsystems #vectorsearch #graphdb #timeSeriesDB #columnarDB #keyvaluestore #documentdb #widecolumn #cockroachdb #spanner #dynamodb #cassandra #mongodb #rediscluster #hazelcast #aerospike #etcd #zookeeper #consul #raft #paxos #consensus #leaderElection #quorum #gossipprotocol #antientropy #conflictresolution #crdt #operationaltransform #dataversioning #schemaevolution #migrations #backups #snapshots #pointintimerecovery #archiving #coldstorage #datacompression #encryption #datasecurity #accesscontrol #authentication #authorization #gdpr #compliance #dataprivacy #multiregion #globaldatabase #edgecomputing #cdn #latencyoptimization #costoptimization #finops #autoscaling #rateLimiting #throttling #backpressure #queueingtheory #engineeringculture #systemthinking #internetengineering #moderninfrastructure #highscale #enterpriseit #saas #startuptech #techcareers #learnsystemdesign #systemdesigninterview #techinterview #interviewprep