Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
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Moving Beyond Cache by Yiftach Shoolman
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Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
- 1. PRESENTED BY Moving Beyond Cache Yiftach Shoolman - @yiftachsh Co-Founder & CTO, Redis Labs
- 2. PRESENTED BY MOST LAUNCHED MOST USED MOST LOVED Sumo Logic, Sept. 2019 Stack Overflow, 2017, 2018, 2019Launches/day: Docker Hub, Nov. 2019 How popular is Redis?
- 10. PRESENTED BY What’s in Redis v6 ACL Security TLS
- 11. PRESENTED BY What’s in Redis v6: ACL ACL • Multiple users/roles • Enable/disable users • Setting zero, one, or multiple passwords (for password rotation) • User access permissions based on key patterns (e.g. `KEYS`/`SCAN`) • User access permissions for categories/specific commands • Runtime and persistent (external file) configuration
- 12. PRESENTED BY What’s in Redis v6 ACL Security TLS Performance Client-side caching M R Diskless replication Multi-threaded I/O
- 13. PRESENTED BY What’s in Redis v6: client-side caching • Clients opt-in via the `TRACK` command • Keys accessed by the client are tracked by the server • When a key is changed a notification is sent to the client • RESP2: notifications to the client are redirected to another connection via PubSub • RESP3: notifications to the client are sent on the same connection or redirected to another connection Client-Side Caching
- 14. PRESENTED BY What’s in Redis v6: client-side caching in action https://engineering.redislabs.com/
- 15. PRESENTED BY What’s in Redis v6 ACL Security TLS Performance Cluster Client-side caching M R Diskless replication Multi-threaded I/O Proxy Tooling
- 16. PRESENTED BY What’s in Redis v6 ACL Security TLS Performance Cluster Developers Client-side caching M R Diskless replication Multi-threaded I/O Proxy Tooling RESP3 Module API (v2) Disque as a module
- 18. PRESENTED BY Why Redis as a database? 100ms 50ms 50ms 1ms DatabaseApp servers Humans Apps Machines
- 19. PRESENTED BY Why Redis as a database? 100ms 50ms 50ms 1ms App servers Humans Apps Machines
- 20. PRESENTED BY Hashes Bitmaps Strings Bit Field Streams Hyperloglog Sorted Sets Sets Geospatial Search Graph TimeSeries AI JSON Gears Redis core Redis modules BloomFilter Redis Enterprise core Redis Enterprise Lists Linear scalability HA Geo-distributionDurability Backup & restore Tiered-memory access SecurityMulti-tenant
- 21. PRESENTED BY Redis core Redis modules Redis Enterprise core Redis Enterprise Hashes Bitmaps Strings Bit Field Streams Hyperloglog Sorted Sets Sets Geospatial Lists Durability Geo-distributionLinear scalability HA Backup & restore Tiered-memory access SecurityMulti-tenant Search Graph TimeSeries AI JSON Gears BloomFilter
- 23. PRESENTED BY Persistent but NOT Durable DRAM SSD DRAM Persistent AND Durable presented by
- 24. PRESENTED BY DRAMDRAM SSD Persistent but NOT Durable Persistent AND Durable presented by
- 25. PRESENTED BY DRAM SSD DRAMDRAM SSD DATA LOSS! DRAM NO DATA LOSS! Persistent but NOT Durable Persistent AND Durable presented by
- 26. PRESENTED BY Why is this important? 0.5ms Redis Disk-based 0.5ms presented by
- 27. PRESENTED BY ~0.5ms Redis >50ms Disk-based Multiple IOPSA single IOPS ~100x faster A ‘write’ request presented by
- 28. PRESENTED BY Redis >50ms Disk-based Multiple IOPSZero IOPS → 0.1ms ~500x faster A ‘read’ request presented by
- 29. PRESENTED BY Why you need durability and replication Node 1 Node 2 Node 3 presented by
- 30. PRESENTED BY Data-persistence challenges solved by Redis Enterprise presented by 1 Maintaining fairness and high IOPS when multiple instances share the same disk 2 High-performance during AOF rewrite/snapshot 3 Guaranteed SLA for recovering from AOF
- 31. PRESENTED BY Redis Enterprise fast storage engine presented by Single node Redis Enterprise ACID ops/sec (<1ms) on Dell-EMC VMAX
- 32. PRESENTED BY Redis core Redis modules Redis Enterprise core Redis Enterprise Hashes Bitmaps Strings Bit Field Streams Hyperloglog Sorted Sets Sets Geospatial Lists Geo-distributionLinear scalability HA Durability Backup & restore Tiered-memory access SecurityMulti-tenant Search Graph TimeSeries AI JSON Gears BloomFilter
- 33. PRESENTED BY 33 Disaster recovery Why you need Active-Active Redis
- 34. PRESENTED BY 34 Session managementDisaster recovery Why you need Active-Active Redis
- 35. PRESENTED BY 35 Globally distributed applications ₤$ $ ₱ € Session managementDisaster recovery Why you need Active-Active Redis
- 36. PRESENTED BY • Internet latency → >100ms • Conflict resolution → too complex to program • How to guarantee strong resiliency (multiple region failures)? Active-Active challenges
- 37. PRESENTED BY Redis CRDTs: solving the Active-Active challenges • Local <1ms latency <1ms <1ms <1ms
- 38. PRESENTED BY Redis CRDTs–solving the Active-Active challenges • Local <1ms latency • CRDTs-based conflict resolution Lists BitmapsBit field Sorted SetsSets Counters
- 39. PRESENTED BY Redis CRDTs: solving the Active-Active challenges • Local <1ms latency • CRDTs-based conflict resolution • Strong resiliency based on consensus-free protocol Strong eventual consistency
- 40. PRESENTED BY Active-Active comparison App App App App App App Eventual consistency Strong consistency App App App Strong eventual consistency + Causal consistency 100ms 200ms <1ms Cassandra/DynamoDB Spanner Redis CRDTs
- 41. PRESENTED BY 41 99.9% (<10m4.8s) Active-passive replication Single-AZ 99.99% (<4m23s) Active-passive replication Multi-AZ 99.999% (<26.3s) Active-Active replication Multi-region Redis Enterprise cloud SLA
- 42. PRESENTED BY App App App App AKS EKS GKE PKS OpenShift On Premises Redis Enterprise: multi-cloud, on-premises, and hybrid deployments 42
- 43. PRESENTED BY Redis core Redis modules Redis Enterprise core Redis Enterprise Hashes Bitmaps Strings Bit Field Streams Hyperloglog Sorted Sets Sets Geospatial Lists Geo-distributionLinear scalability HA Durability Backup & restore Tiered-memory access SecurityMulti-tenant Search Graph TimeSeries AI JSON Gears BloomFilter
- 44. PRESENTED BY Popular and unpopular data models
- 45. PRESENTED BY Modern data models in Redis Streams RediSearch RedisGraph RedisTimeSeries RedisAIRedisJSONRedisBloom
- 46. PRESENTED BY Modern data models in Redis Main capabilities • Consumers groups • Capped streams • Removing items Use cases • Message broker • Event sourcing, CDC Streams Globally distributed call-center tasks 46 A large telecommunication provider
- 47. PRESENTED BY Modern data models in Redis Main capabilities • Full-text search • Indexing, autocomplete • Aggregation, ranking, stemming • Extendable and modular Use cases • Fast search • Multi-tenant indexing RediSearch Optimizing shipping operations 47
- 48. PRESENTED BY Modern data models in Redis Main capabilities • Cypher queries • Property graph • Graph as sparse-adjacency matrices • Graph operations through linear algebra expressions (GraphBLAS) Use cases • Social graph • Authentication, network topology RedisGraph Resource management and transactions validation48
- 49. PRESENTED BY Modern data models in Redis Main capabilities • Downsampling/compaction • Indexing, queries, aggregation • Compression (double-delta encoding) • Integration(Grafana, Prometheus) Use cases • Monitoring, filtering • IoT RedisTimeSeries Modern and reliable photo tools for an ever-evolving newsroom 49
- 50. PRESENTED BY Modern data models in Redis Main capabilities • Bloom filter • Cuckoo filter • Count-min sketch • Top-K Use cases • Authentication • Ad serving, leaderboards RedisBloom Ad management 50
- 51. PRESENTED BY Modern data models in Redis Main capabilities • JSON standard in Redis • JSONPath • Soon: indexing, search, BSON Use cases • Session store • Profiles RedisJSON Users’ profiles 51
- 52. PRESENTED BY Infinite programmability options: • ‘Write behind’ • Aggregation • Stream processing • And many more… 52 Hashes Strings Sets RedisGears: serverless engine in Redis
- 53. PRESENTED BY Modern data models are faster in Redis Streams RediSearch RedisGraph RedisTimeSeries RedisAIRedisJSONRedisBloom
- 55. PRESENTED BY RedisInsight (previously RDBTools): a standard UI for Redis • Developer-friendly UI • Adds insight to existing and new data structures: Streams, Search, JSON, Graph, Time-series • Enhanced memory-analysis and recommendation capabilities • Admin monitoring, commands tracer, CLI interface, bulk operations redislabs.com/redisinsight
- 57. PRESENTED BY Forward looking • Redis 6.0 GA before RedisConf (May 12-14) (https://events.redislabs.com/redisconf20/) • New versions of modules • New stuff around AI and Gears • Redis Enterprise 6.0: external identity integration (e.g. LDAP) • New data-type/data-model available on Active-Active • Easy consumption on cloud/multi-cloud/hybrid cloud and Kubernetes
- 58. Thank You!