The document outlines the features and benefits of Enterprise Redis, highlighting its capabilities for infinite scaling, high availability, and expert support. It elaborates on implementations like Redis on Flash, enabling enhanced performance and cost savings for data management, and discusses the integration with analytics tools like Spark. Additionally, it introduces the Redis Module Hub, which expands Redis functionality through various modules for diverse use cases.

1. Home of RedisWhat’s New with Enterprise Redis
Leena Joshi

2. 2
Agenda
• What is Enterprise Redis?
• Redis on Flash
• Redis and Spark
• Redis Module Hub

3. 3
Enterprise Conjures Up..
OR

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But What It Really Means Is:

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Which In Turn Means:
Infinite Seamless Scaling
True High Availability
Top notch expert support

6. 6
Redis Labs Enhances OSS Redis
Redis Labs Node
Open Source
Zero latency proxy Cluster Manager
REST API
Odd number of
nodes needed to
handle network
splits- not three
copies of data
Redis Labs Cluster
• Shared nothing cluster
architecture
• Fully compatible with open
source commands & data
structures
Proprietary

7. 7
The Same Technology Runs Redis Cloud
Cluster
Management Path
Proxies
Node Watchdog
Cluster Watchdog
Node 1 Node 2 Node N (uneven number)…
Redis
Shards
Unique multi-tenant “Docker” like architecture enables running hundreds of databases over a single,
average cloud instance without performance degradation and with maximum security provisions
Data Path
Distributed Proxies
Single or Multiple Endpoints
50,000+ Customers

8. 8
Tremendous Customer Traction
Redis Cloud
Available since mid-2013
6000+ enterprise customers
Redis Labs Enterprise Cluster (RLEC)
Available since early-2015
100+ enterprise customers

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Always On - Highly
Available & Persistent
Simple, Seamless
Clustering. Linear
Scalability.
Enterprise-Class
Management and
Support
Enterprise-Class Redis – The Benefits
Stable & Predictable
Top Performance
Operational Cost
Savings

10. 10
Simple, Seamless
Scaling and Clustering
Auto- scaling/re-sharding/re-balancing
No downtime while scaling
Supports cross-shard operations
Simple, Seamless Clustering. Linear Scalability.
Linear Scalability

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Always On - Highly
Available & Persistent
Seamless cross
datacenter/region/cloud
replication
Instant auto-failover
Persistence, backups and DR
Always On - Highly-Available & Persistent

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Stable & Predictable
Top Performance
Consistent high performance
achieved under any load or
cluster size
Database processed by multiple
cores
Built-in performance
enhancement techniques
Stable & Predictable Top Performance

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Operational Cost Savings
OSS Redis Redis Labs
More efficient hardware utilization: fewer servers,
lower power & cooling and operational costs
Reduced manual labor through automation -
reduced time writing scripts, scaling,
configuration, monitoring, re-balancing and more
Run Redis on flash memory as RAM extender –
up to 10 times cheaper
Reduced downtime incidents
Shorten time to deploy Redis by over 50%

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Enterprise Management
and Support
UI, CLI, REST API -based
management & alerting
Proven technology supporting
thousands of customers
24x7 enterprise support,
top notch Redis expertise
Enterprise-Class Management & Support

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Redis Labs: Fastest Recovery, No Data Loss
%oftimesdatawaslost
Averagetimetorecoverinseconds
Redis Labs recovers in 5 seconds and does not lose data.
All other vendors lose data and take many minutes to recover
Vendors evaluated include
(not in order)
• Heroku Redis
• AWS ElastiCache
• Microsoft AzureCache
• Compose.io

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Redis Labs: The Only True HA Redis
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Failure Event In-memory
Replication
Multi-DC/Zone
replication
Auto-failover AOF Data
Persistence
Backup (using
snapshots)
Multi-
region/Cloud
replication
Process failure Instant recovery* Slow recovery
Node failure Instant recovery* Slow recovery
Multi-node failure Instant recovery*
Network split Instant recovery*
Zone/Rack failure Instant recovery* Slow recovery Fast recovery
Region/Cloud failure Slow recovery Fast recovery
Typeofoutage
Essential features for high availability
*Auto-failover should run on same nodes as Redis deployment
Redis Labs provides all the essential HA features that protect against every type of outage

17. Redis on Flash

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Why Analyze Data In-Memory?
“Information is the oil of 21st century, and analytics is the combustion engine”- Peter
Sondergaard, Gartner Analyst

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Decision Speeds Are Accelerating..
“Big Data” gains
popularity as tools
become available to
harness it
Batch insights start to
drive business
Real time insights
automate decision-
making
2005 2012 - 2015 2016…
THE DATA REVOLUTION IS MATURING..

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The Race Is On..
INSIGHTS FROM YOUR DATA NEED TO BE
INSTANTANEOUS
COST EFFECTIVE

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Price/Performance of Memory Technology

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Redis on Flash
Flash used as a RAM extender and NOT as persistent storage

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Redis on Flash Concepts
• Flash used as a RAM extender (NOT as a persistent storage)
• Global key list in RAM; ‘hot’ values in RAM; ‘cold’ values on Flash.
• Multi-threaded & async Redis when accessing objects on Flash.
Utilizes multi-core and Flash concurrency architecture
• 100% compatibility with Redis

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How to Achieve Optimal Price/Performance
By dynamically setting RAM/Flash ratio

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Single Server Results with Dell & Samsung NVMe
read
write
read
write
Avg: 2.04M ops/sec
Max: 2.14M ops/sec
Avg: 0.91msec
Max: 0.98 msec
% below 1msec: 100%
Avg: 313RMB / 9.4WMB
Max: 1.71RGB / 96WMB
Avg: 1.45Gbps (Tx) / 0.97Gbps (Rx)
Max: 1.6Gbps (Tx) / 1.2Gbps (Rx)
Test setup:
• Redis Labs Enterprise
Cluster v3.2
• Dell Xeon CPU E5-
2670 v3 @ 2.50GHz
• 4x Samsung NVMe
PM1725
• Memtier benchmark-
open source tool
• 100B object size
• 80% read
• 20% write
Throughput – ops/sec
Latency – msec
Disk Bandwidth – MB/sec
NW Bandwidth – Gb/sec
>2M Ops/sec, <1 ms latency, > 1GB disk bandwidth

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A Real Life Example With Redis On Flash
Customer Scenario:
• Genome dataset
• Key sizes: 32B, value sizes : 5-12B
• No of keys: 250 x109… 250 x1012
Key1: AAAAAAAAAAAAAAAAAAAAAAAACCCCAAA Value1 = Freq=4 IE=A OE=A
Key2: AAAAAAAAAAAAAAAAAAAAAAAAACAACCC Value2 = Freq=7 IE=A,C,T,G OE=A,C,T,G
*IE – Inside End sequences
*OE – Outside End sequences

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Optimizing Redis Usage
RAW
• # of keys 250x10^9
• Key size = 32B
• Value size = 8B (average)
• Overhead per object (key+value) = ±61B (key) + 9 (value) = 70
• Internal fragmentation per object = 14B
• RAM size = ±31TB

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Further Optimizations
Encoding keys and values to
compress sizes
• # of keys 1.25x10^9
• Key size = 4B
• Value size = 3612B
• RAM overhead per object (key+value) = ±40B
• RAM size = ±55GB // for optimal performance we used 500GB to keep 10/90 RAM/Flash ratio
• Flash size = ±4.5TB
Using Redis Hashes to store
compressed keys/values (200
keys and values per hash)
1 2

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Memory Usage and Cost Comparison
Redis on RAM
Strings
Redis on Flash
Hashes
RAM size 31TB 0.5 TB
Flash size - 4.5TB
EC2 instances 155 x r3.8xlarge 2 x i2.8xlarge
1yr costs
(reserved
instances)
$2,017,325 $49,862
Savings with Flash
& Hashes %
97.6%

30. Home of Redis
Redis in Analytics

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Spark & Redis - Connector & Service Layer
Data Source
Serving Layer
Spark SQL &
Data Frame
RDD,
Data Source,
Data Set
RDD,
Data Source,
Data Set
Analytics & BI

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Spark & Redis – Internal Accelerator
Data Source
RDD,
Data Source,
Data Set
RDD,
Data Source,
Data Set
Spark SQL &
Data Frame
Analytics & BI
RDD,
Data Source,
Data Set,
Redis API
Data Sink

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Accelerate Spark Time-Series with Redis
Redis sorted sets accelerate time series data
processing by 100 times compared to other in-
memory K/V stores
Example time series data: Stock prices for 1024
stocks over 32 years

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Spark-Redis Package : The Results
Redis faster by upto 100 times compared to HDFS
and over 45 times compared to Tachyon or Spark

35. Home of Redis
Redis Modules

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Modules Extend Redis’ Use Case Coverage
MongoDB
Cassandra/
Datastax
Couchbase Redis (original) Redis + Modules
Single View Coming Soon
Personalization
Catalog Coming Soon
IoT
Real-Time Analytics
Content Management Coming Soon
Messaging
Fraud Detection Coming Soon
Graph Coming Soon
Time Series
Caching
Text Search Coming Soon
Image Processing Coming Soon
Machine Learning Coming Soon
Linear Algebra Coming Soon
Probabilistic data structures
for processing continuous,
Coming Soon
More

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Modules Turn Redis into a Multi-Model Database
37
MongoDB
Cassandra/
Datastax
Couchbase Redis (original) Redis + Modules
Document-Based Coming Soon
Column-Based Coming Soon
Key-Value Data Structures Data Structures
Graph Coming Soon

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Redis Module Hub
• A Redis Module Marketplace – for everyone
• Every problem a developer solves with Redis – now extended to the
Enterprise
• Will help developers monetize their work and reach enterprise
Redis users
• Will give enterprise Redis users the confidence and peace of mind
to easily deploy modules
www.redismodules.com

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3.15
2.40
21.00
8.70
24.57
10.61
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5.00
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Full text search Prefix search
Average Latency (msec)
RLEC Elasticsearch Solr
20,045
6,831
690
3,686
621
3,133
0
5,000
10,000
15,000
20,000
25,000
Full text search Prefix search
Ops/sec
RLEC Elasticsearch Solr
85% higher
32x higher
7.8x faster 4.1x faster
redisearch
The world fastest text search engine

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What Can Modules Do
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• All modules are certified by Redis Labs for full compliance with OSS
Redis, Redis Cloud and Redis Labs Enterprise Cluster (RLEC)
Full Text Search Enhanced JSON Graph Operations Secondary Indexes
Linear Algebra SQL Support Image Processing
N-Dimension
Queries …

42. Thank You!