SlideShare una empresa de Scribd logo
1 de 22
Descargar para leer sin conexión
Revolutionizing the Datacenter
Join the Conversation #OpenPOWERSummit
Accelerating Genome Assembly with
Power8
Seung-Jong Park, Ph.D.
School of EECS, CCT, Louisiana State University
Join the Conversation #OpenPOWERSummit
Agenda
The Genome Assembly Problem
Accelerating Graph Construction with POWER8
Accelerating Graph Simplification with IBM CAPI®
Flash and Redis NoSQL database.
25/8/2016
The Genome Assembly Problem
35/8/2016
NGS Technologies Outpaced Moore’s Law
Software with Extreme Scalability
HPC Platform
• More Compute Cycles
• Extreme I/O Performance
• Huge Storage Space
Challenges for Genome Assemblers
45/8/2016
Genome
NGS
Reads
(TBs)
HPC
Re-
constructed
Genome
(MBs/GBs)Data and
Compute
Intensive
MapReduce-based Graph Construction
55/8/2016
TAGTCGAGG
CT
TAGTCGAGG
CTGGCTTTAGAT
C
GGCTTTAGAT
CTGAGGCTTTA
G
TGAGGCTTTA
G
Map
TTTAGAGACA
G
TTTAGAGACA
GGATCCGATGA
G
GATCCGATGA
GTAGTCGAGG
CT
TAGTCGAGG
CT
Map
TTTA:G
TAGT:C
TTAG:A
TAGA:G
TCCG:
A
TCCG:
ATGAG:
N
TGAG:
N
TCGA:
G
TCGA:
G
AGAG:
A
AGAG:
A
AGAC:A
ACAG:
N
ACAG:
NATCC:
G
ATCC:
GCCGA:
T
CCGA:
TCGAT:
G
CGAT:
G
ATGA:G
AGTC:
G
AGTC:
GCGAG:
G
CGAG:
GAGGC:
T
AGGC:
T
GATC:
C
GATC:
C
GAGA:
C
GAGA:
CGACA:
G
GACA:
G
GATG:A
GTCG:
A
GTCG:
AGAGG:
C
GAGG:
CGGCT:
N
GGCT:
N
GGCT:
T
GGCT:
T
GTCG:
A
GTCG:
AGAGG:
C
GAGG:
CGGCT:
N
GGCT:
N
GCTT:T
GATC:
N
GATC:
NGAGG:
C
GAGG:
CGGCT:
T
GGCT:
T
GCTT:T
AGTC:
G
AGTC:
GCGAG:
G
CGAG:
GAGGC:
T
AGGC:
T
CTTT:A
AGAT:C
AGGC:
T
AGGC:
T
CTTT:A
TAGT:C
TGAG:
G
TGAG:
G
TCGA:
G
TCGA:
G
TTTA:G
TTAG:A
TAGA:T
TTTA:G
TTAG:N
Reduce
Reduce
Reduce
TAGA:G,T
TAGT:C
TCCG:A
TCGA:G
TGAG:G
TTAG:A
TTTA:G
ACAG:N
AGAC:A
AGAG:A
AGAT:C
AGGC:T
AGTC:G
ATCC:G
ATGA:G
CCGA:T
CGAG:G
CGAT:G
CTTT:A
GACA:G
GAGA:C
GAGG:C
GATC:C
GATG:A
GCTT:T
GGCT:T
GTCG:A
Accelerating Graph Construction with POWER8
65/8/2016
Experimental Test Beds
75/8/2016
System Type IBM PKY Cluster LSU SuperMikeII
Processor Two 10-core IBM Power8 Two 8-core Intel SandyBridge Xeon
Maximum #Nodes used in various
experiments
40 120
#Physical cores/node 20 (8 Simultaneous Multi-Thread) 16 (Hyper threading disabled)
#vcores/node 160 16
RAM/node (GB) 256 32
#Disks/node 5 3
#Disks/node used for shuffled data 3 1
Total Storage space/node used for shuffled
data
1.8 0.5
Network 56Gbps InfiniBand (non-blocking) 40Gbps InfiniBand (2:1 blockings)
Datasets
85/8/2016
Genome data set Input size Shuffle data
size
Output size
Rice genome 12GB 70GB 50GB
Bumble bee genome 90GB 600GB 95GB
Metagenome 3.2TB 20TB 8.6TB
Input data set to stage 2 Key-value Stores
With Redis NoSql and IBM Power8-CAPI -Flash
Hadoop Configurations
95/8/2016
Hadoop Parameters IBM Power8 SuperMikeII
Yarn.nodemanager.cpu.resource.vcore 120 16
Yarn.nodemanager.memory.mb 231000 29000
Mapreduce.map/reduce.cpu.vcore 4 2
Mapreduce.map/reduce.memory.mb 7000 3500
Mapreduce.map/reduce.java.opts 6500m 3000m
Hadoop Scalability with POWER8 SMTs
Tested with small size rice genome data on 2 node
Almost linear scalability with increasing SMTs
105/8/2016
Rice Genome
Analyzing small size (12GB) data
Eliminate the impact of network and disk I/O
7.5X performance improvement per server
115/8/2016
Bumble Bee Genome
Analyzing Medium size (90GB) Bumble Bee genome
7.5x improvement in terms of Performance/server
125/8/2016
Metagenome Stage 1
Analyzing huge (3.2TB) metagenome data
Only 6.5 hours on 40-node IBM Power8 cluster
More than 9x improvement in terms of performance
per server
135/8/2016
IBM Data Engine for NoSQL
Performance and Value
Stage 2 Requires Large Memory access that isn’t readily available via
traditional compute processing.
Custom
Hardware
Application
POWER8
CAPP
Coherence Bus
PSL
FPGA or ASIC
Customizable Hardware
Application Accelerator
• Specific system SW, middleware, or user application
• Written to durable interface provided by PSL
POWER8
PCIe Gen 3
Transport for encapsulated messages
Processor Service Layer (PSL)
• Present robust, durable interfaces to applications
• Offload complexity / content from CAPP
Virtual Addressing
• Accelerator can work with same memory addresses that the processors use
• Pointers de-referenced same as the host application
• Removes OS & device driver overhead
Hardware Managed Cache Coherence
• Enables the accelerator to participate in “Locks” as a normal thread Lowers
latency over IO communication model
POWER8 CAPI (Coherent Accelerator Processor
Interface)
Redis Labs Exploits the IBM Data Engine for NoSQL
Redis stores key-value pairs
• Key-value pairs may be variable size, in any
format (Text, Document, JPEG, Video, etc.)
Basic operations are “SET” and “GET”
> SET 100001 “CAPI is Fast”
> GET 100001
“CAPI is Fast”
> ...
Database Characteristics
• 90 GB MAX Capacity, up to 10 GB RAM, and 80 GB Flash
• key-value pairs are 1,000 bytes of random data
• DB filled with ~50GB of data (42.5 million keys)
Client Characteristics
• 288 clients, randomly issuing Redis GETs or SETs
• ~50% of keys from RAM, ~50% from CAPI-Accelerated Flash
Demo System:
• IBM Power System S812L
• 1 POWER8 Socket
• 2 IBM DataEngine for NoSQL CAPI Accelerators
• 1 FlashSystem 840
• Ubuntu 14.10
• Redis Labs Enterprise Cluster (Beta)
Set Key = Value
Retrieve Key
10Gb Uplinks
Power8 Server
Flash Array w/ up
To 56TB
Demonstration Platform
(POWER8 + CAPI Flash)
Infrastructure Attributes
- up to 192 threads in 2U Server drawer
- up to 56 TB of memory based Flash per 2U Drawer
- Shared Memory & Cache for dynamic tuning
WWW
OpenPower Partner Redis Labs’s highly-differentiated product
offering built on CAPI is available today.
Demo Link
IBM Data Engine for NoSQL + Redis Labs Value
Built on Open APIs
• Leverages IBM DataEngine for NoSQL APIs
Redis Labs Enterprise Cluster provides
near Speed of RAM, with the Capacity of
Flash
• Leverages IBM DataEngine for NoSQL CAPI Accelerator for
high-speed, low-latency link to Flash
Controls use of Memory, Flash, and Cost!
• Hot Data Maintained in RAM
• Provides ISPs and MSPs up to 72% Cost Savings
When 80% of Data is in Flash
Redis Labs Enterprise Cluster allows the user to select the ratio of
RAM and flash with a simple slider, when using POWER8 with the
IBM Data Engine for NoSQL.
Load Balancer
500GB Cache
Node
10Gb Uplink
POWER8 Server
Flash Array w/ up
to 56TB
Differentiated NoSQL
(POWER8 + FlashSystem with CAPI)
Infrastructure Attributes
- 192 threads in 4U server drawer
- 56 TB of flash per 2U drawer
- Shared Memory & cache for dynamic tuning
- Elimination of I/O and network overhead
- Cluster solution in a box
Today’s NoSQL in memory (x86)
Infrastructure Requirements
- Large distributed (Scale out)
- Large memory per node
- Networking bandwidth needs
- Load balancing
Power CAPI-attached FlashSystem for NoSQL regains
infrastructure control and reigns in the cost to deliver services.
WWW10Gb Uplink
WWW
Backup Nodes
500GB Cache
Node
500GB Cache
Node
500GB Cache
Node500GB Cache
Node
What CAPI Means for NoSQL Solutions
Big Redis w/ CAPI Flash Offers New Performance / Cost Points
Users pick the performance / cost point that meets their solution
needs, be it IOPs Rate or Latency requirements.
*typical workload
0% 18% 45% 72% 81%
AverageLatency(ms)
1
5
8
9
10
% Implementation Savings
100% 80% 50% 20% 10%
IOPS at 1 ms Latency
382K 208K 188K 175K
2.5M
366-750K
1.35M
483-950K
671-1250K
IOPS at Max Throughput
DRAM / FLASH Ratio
Stage 2 Graph Simplification with Distributed NoSQL
205/8/2016
TAGA:G,T
TAGT:C
TCCG:A
TCGA:G
TGAG:G
TTAG:A
TTTA:G
ACAG:N
AGAC:A
AGAG:A
AGAT:C
AGGC:T
AGTC:G
ATCC:G
ATGA:G
GACA:G
GAGA:C
GAGG:C
GATC:C
GATG:A
GCTT:T
GGCT:T
GTCG:A
CCGA:T
CGAG:G
CGAT:G
CTTT:A
TAGTCGAG GAGGCTTTAGA
Accelerating Simplification with IBM CAPI Flash
215/8/2016
NoSQL I/O
Throughput
(keys/sec)
CAPI Flash I/O
Throughput
(bytes/sec)
Only 20 Power8 Cores + CAPI :
500GB Graph traversal in
7.5 Hrs
LSU Project Contributors
Arghaya Kasuum Das, PhD Stident
Sayan Goswami, PhD Student
Richard Platania, PhD student
Terry Leatherland, IBM Systems Architect.
Fall/Winter 2015 project
5/8/2016 22

Más contenido relacionado

La actualidad más candente

Володимир Цап "Constraint driven infrastructure - scale or tune?"
Володимир Цап "Constraint driven infrastructure - scale or tune?"Володимир Цап "Constraint driven infrastructure - scale or tune?"
Володимир Цап "Constraint driven infrastructure - scale or tune?"Fwdays
 
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon
 
Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...
Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...
Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...Fwdays
 
Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong
Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu YongUnlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong
Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu YongCeph Community
 
RedisConf17 - Home Depot - Turbo charging existing applications with Redis
RedisConf17 - Home Depot - Turbo charging existing applications with RedisRedisConf17 - Home Depot - Turbo charging existing applications with Redis
RedisConf17 - Home Depot - Turbo charging existing applications with RedisRedis Labs
 
HBaseConAsia2018 Keynote1: Apache HBase Project Status
HBaseConAsia2018 Keynote1: Apache HBase Project StatusHBaseConAsia2018 Keynote1: Apache HBase Project Status
HBaseConAsia2018 Keynote1: Apache HBase Project StatusMichael Stack
 
HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...
HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...
HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...Michael Stack
 
RedisConf17 - Redis Enterprise on IBM Power Systems
RedisConf17 - Redis Enterprise on IBM Power SystemsRedisConf17 - Redis Enterprise on IBM Power Systems
RedisConf17 - Redis Enterprise on IBM Power SystemsRedis Labs
 
HBaseConAsia2018 Track3-2: HBase at China Telecom
HBaseConAsia2018 Track3-2:  HBase at China TelecomHBaseConAsia2018 Track3-2:  HBase at China Telecom
HBaseConAsia2018 Track3-2: HBase at China TelecomMichael Stack
 
Espresso Database Replication with Kafka, Tom Quiggle
Espresso Database Replication with Kafka, Tom QuiggleEspresso Database Replication with Kafka, Tom Quiggle
Espresso Database Replication with Kafka, Tom Quiggleconfluent
 
HBaseConAsia2018 Track1-3: HBase at Xiaomi
HBaseConAsia2018 Track1-3: HBase at XiaomiHBaseConAsia2018 Track1-3: HBase at Xiaomi
HBaseConAsia2018 Track1-3: HBase at XiaomiMichael Stack
 
HBaseConAsia2018 Track3-6: HBase at Meituan
HBaseConAsia2018 Track3-6: HBase at MeituanHBaseConAsia2018 Track3-6: HBase at Meituan
HBaseConAsia2018 Track3-6: HBase at MeituanMichael Stack
 
HBaseCon 2015: HBase Operations in a Flurry
HBaseCon 2015: HBase Operations in a FlurryHBaseCon 2015: HBase Operations in a Flurry
HBaseCon 2015: HBase Operations in a FlurryHBaseCon
 
Argus Production Monitoring at Salesforce
Argus Production Monitoring at SalesforceArgus Production Monitoring at Salesforce
Argus Production Monitoring at SalesforceHBaseCon
 
RedisConf18 - Ultra Scaling with Redis Enterprise
RedisConf18 - Ultra Scaling with Redis EnterpriseRedisConf18 - Ultra Scaling with Redis Enterprise
RedisConf18 - Ultra Scaling with Redis EnterpriseRedis Labs
 
Hadoop engineering bo_f_final
Hadoop engineering bo_f_finalHadoop engineering bo_f_final
Hadoop engineering bo_f_finalRamya Sunil
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsDataWorks Summit
 
HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...
HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...
HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...Michael Stack
 

La actualidad más candente (20)

Володимир Цап "Constraint driven infrastructure - scale or tune?"
Володимир Цап "Constraint driven infrastructure - scale or tune?"Володимир Цап "Constraint driven infrastructure - scale or tune?"
Володимир Цап "Constraint driven infrastructure - scale or tune?"
 
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...
 
Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...
Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...
Роман Новиков "Best Practices for MySQL Performance & Troubleshooting with th...
 
Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong
Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu YongUnlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong
Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong
 
Scaling HDFS at Xiaomi
Scaling HDFS at XiaomiScaling HDFS at Xiaomi
Scaling HDFS at Xiaomi
 
RedisConf17 - Home Depot - Turbo charging existing applications with Redis
RedisConf17 - Home Depot - Turbo charging existing applications with RedisRedisConf17 - Home Depot - Turbo charging existing applications with Redis
RedisConf17 - Home Depot - Turbo charging existing applications with Redis
 
HBaseConAsia2018 Keynote1: Apache HBase Project Status
HBaseConAsia2018 Keynote1: Apache HBase Project StatusHBaseConAsia2018 Keynote1: Apache HBase Project Status
HBaseConAsia2018 Keynote1: Apache HBase Project Status
 
HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...
HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...
HBaseConAsia2018 Track3-7: The application of HBase in New Energy Vehicle Mon...
 
RedisConf17 - Redis Enterprise on IBM Power Systems
RedisConf17 - Redis Enterprise on IBM Power SystemsRedisConf17 - Redis Enterprise on IBM Power Systems
RedisConf17 - Redis Enterprise on IBM Power Systems
 
25 snowflake
25 snowflake25 snowflake
25 snowflake
 
HBaseConAsia2018 Track3-2: HBase at China Telecom
HBaseConAsia2018 Track3-2:  HBase at China TelecomHBaseConAsia2018 Track3-2:  HBase at China Telecom
HBaseConAsia2018 Track3-2: HBase at China Telecom
 
Espresso Database Replication with Kafka, Tom Quiggle
Espresso Database Replication with Kafka, Tom QuiggleEspresso Database Replication with Kafka, Tom Quiggle
Espresso Database Replication with Kafka, Tom Quiggle
 
HBaseConAsia2018 Track1-3: HBase at Xiaomi
HBaseConAsia2018 Track1-3: HBase at XiaomiHBaseConAsia2018 Track1-3: HBase at Xiaomi
HBaseConAsia2018 Track1-3: HBase at Xiaomi
 
HBaseConAsia2018 Track3-6: HBase at Meituan
HBaseConAsia2018 Track3-6: HBase at MeituanHBaseConAsia2018 Track3-6: HBase at Meituan
HBaseConAsia2018 Track3-6: HBase at Meituan
 
HBaseCon 2015: HBase Operations in a Flurry
HBaseCon 2015: HBase Operations in a FlurryHBaseCon 2015: HBase Operations in a Flurry
HBaseCon 2015: HBase Operations in a Flurry
 
Argus Production Monitoring at Salesforce
Argus Production Monitoring at SalesforceArgus Production Monitoring at Salesforce
Argus Production Monitoring at Salesforce
 
RedisConf18 - Ultra Scaling with Redis Enterprise
RedisConf18 - Ultra Scaling with Redis EnterpriseRedisConf18 - Ultra Scaling with Redis Enterprise
RedisConf18 - Ultra Scaling with Redis Enterprise
 
Hadoop engineering bo_f_final
Hadoop engineering bo_f_finalHadoop engineering bo_f_final
Hadoop engineering bo_f_final
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability Improvements
 
HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...
HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...
HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Databa...
 

Similar a Scaling Redis Cluster Deployments for Genome Analysis (featuring LSU) - Terry Leatherland, IBM

OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems SpecialistOWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems SpecialistParis Open Source Summit
 
OpenPOWER Acceleration of HPCC Systems
OpenPOWER Acceleration of HPCC SystemsOpenPOWER Acceleration of HPCC Systems
OpenPOWER Acceleration of HPCC SystemsHPCC Systems
 
IBM Power Systems: Designed for Data
IBM Power Systems: Designed for DataIBM Power Systems: Designed for Data
IBM Power Systems: Designed for DataIBM Power Systems
 
OpenCAPI next generation accelerator
OpenCAPI next generation accelerator OpenCAPI next generation accelerator
OpenCAPI next generation accelerator Ganesan Narayanasamy
 
IBM Power9 Features and Specifications
IBM Power9 Features and SpecificationsIBM Power9 Features and Specifications
IBM Power9 Features and Specificationsinside-BigData.com
 
HPC Infrastructure To Solve The CFD Grand Challenge
HPC Infrastructure To Solve The CFD Grand ChallengeHPC Infrastructure To Solve The CFD Grand Challenge
HPC Infrastructure To Solve The CFD Grand ChallengeAnand Haridass
 
Understanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageUnderstanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageIBM Power Systems
 
April 2014 IBM announcement webcast
April 2014 IBM announcement webcastApril 2014 IBM announcement webcast
April 2014 IBM announcement webcastHELP400
 
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmark
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmarkThe Apache Spark config behind the indsutry's first 100TB Spark SQL benchmark
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmarkLenovo Data Center
 
Ibm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bkIbm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bkIBM Switzerland
 
Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8MongoDB
 
IBM POWER - An ideal platform for scale-out deployments
IBM POWER - An ideal platform for scale-out deploymentsIBM POWER - An ideal platform for scale-out deployments
IBM POWER - An ideal platform for scale-out deploymentsthinkASG
 
AI Accelerators for Cloud Datacenters
AI Accelerators for Cloud DatacentersAI Accelerators for Cloud Datacenters
AI Accelerators for Cloud DatacentersCastLabKAIST
 
Heterogeneous Computing : The Future of Systems
Heterogeneous Computing : The Future of SystemsHeterogeneous Computing : The Future of Systems
Heterogeneous Computing : The Future of SystemsAnand Haridass
 

Similar a Scaling Redis Cluster Deployments for Genome Analysis (featuring LSU) - Terry Leatherland, IBM (20)

POWER9 for AI & HPC
POWER9 for AI & HPCPOWER9 for AI & HPC
POWER9 for AI & HPC
 
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems SpecialistOWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
 
OpenPOWER Acceleration of HPCC Systems
OpenPOWER Acceleration of HPCC SystemsOpenPOWER Acceleration of HPCC Systems
OpenPOWER Acceleration of HPCC Systems
 
@IBM Power roadmap 8
@IBM Power roadmap 8 @IBM Power roadmap 8
@IBM Power roadmap 8
 
Power overview 2018 08-13b
Power overview 2018 08-13bPower overview 2018 08-13b
Power overview 2018 08-13b
 
Demystify OpenPOWER
Demystify OpenPOWERDemystify OpenPOWER
Demystify OpenPOWER
 
IBM Power Systems: Designed for Data
IBM Power Systems: Designed for DataIBM Power Systems: Designed for Data
IBM Power Systems: Designed for Data
 
OpenCAPI next generation accelerator
OpenCAPI next generation accelerator OpenCAPI next generation accelerator
OpenCAPI next generation accelerator
 
IBM Power9 Features and Specifications
IBM Power9 Features and SpecificationsIBM Power9 Features and Specifications
IBM Power9 Features and Specifications
 
HPC Infrastructure To Solve The CFD Grand Challenge
HPC Infrastructure To Solve The CFD Grand ChallengeHPC Infrastructure To Solve The CFD Grand Challenge
HPC Infrastructure To Solve The CFD Grand Challenge
 
Understanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageUnderstanding the IBM Power Systems Advantage
Understanding the IBM Power Systems Advantage
 
April 2014 IBM announcement webcast
April 2014 IBM announcement webcastApril 2014 IBM announcement webcast
April 2014 IBM announcement webcast
 
IBM Power8 announce
IBM Power8 announceIBM Power8 announce
IBM Power8 announce
 
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmark
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmarkThe Apache Spark config behind the indsutry's first 100TB Spark SQL benchmark
The Apache Spark config behind the indsutry's first 100TB Spark SQL benchmark
 
Ibm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bkIbm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bk
 
Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8
 
IBM POWER - An ideal platform for scale-out deployments
IBM POWER - An ideal platform for scale-out deploymentsIBM POWER - An ideal platform for scale-out deployments
IBM POWER - An ideal platform for scale-out deployments
 
AI Accelerators for Cloud Datacenters
AI Accelerators for Cloud DatacentersAI Accelerators for Cloud Datacenters
AI Accelerators for Cloud Datacenters
 
OpenCAPI Technology Ecosystem
OpenCAPI Technology EcosystemOpenCAPI Technology Ecosystem
OpenCAPI Technology Ecosystem
 
Heterogeneous Computing : The Future of Systems
Heterogeneous Computing : The Future of SystemsHeterogeneous Computing : The Future of Systems
Heterogeneous Computing : The Future of Systems
 

Más de Redis Labs

Redis Day Bangalore 2020 - Session state caching with redis
Redis Day Bangalore 2020 - Session state caching with redisRedis Day Bangalore 2020 - Session state caching with redis
Redis Day Bangalore 2020 - Session state caching with redisRedis Labs
 
Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020
Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020
Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020Redis Labs
 
The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...
The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...
The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...Redis Labs
 
SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020
SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020
SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020Redis Labs
 
Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...
Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...
Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...Redis Labs
 
Redis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
Redis for Data Science and Engineering by Dmitry Polyakovsky of OracleRedis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
Redis for Data Science and Engineering by Dmitry Polyakovsky of OracleRedis Labs
 
Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020
Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020
Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020Redis Labs
 
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020Redis Labs
 
Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...
Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...
Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...Redis Labs
 
JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...
JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...
JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...Redis Labs
 
Highly Available Persistent Session Management Service by Mohamed Elmergawi o...
Highly Available Persistent Session Management Service by Mohamed Elmergawi o...Highly Available Persistent Session Management Service by Mohamed Elmergawi o...
Highly Available Persistent Session Management Service by Mohamed Elmergawi o...Redis Labs
 
Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...
Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...
Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...Redis Labs
 
Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...
Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...
Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...Redis Labs
 
RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020
RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020
RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020Redis Labs
 
RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020
RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020
RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020Redis Labs
 
RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020
RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020
RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020Redis Labs
 
RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020
RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020
RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020Redis Labs
 
Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...
Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...
Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...Redis Labs
 
Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...
Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...
Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...Redis Labs
 
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...Redis Labs
 

Más de Redis Labs (20)

Redis Day Bangalore 2020 - Session state caching with redis
Redis Day Bangalore 2020 - Session state caching with redisRedis Day Bangalore 2020 - Session state caching with redis
Redis Day Bangalore 2020 - Session state caching with redis
 
Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020
Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020
Protecting Your API with Redis by Jane Paek - Redis Day Seattle 2020
 
The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...
The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...
The Happy Marriage of Redis and Protobuf by Scott Haines of Twilio - Redis Da...
 
SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020
SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020
SQL, Redis and Kubernetes by Paul Stanton of Windocks - Redis Day Seattle 2020
 
Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...
Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...
Rust and Redis - Solving Problems for Kubernetes by Ravi Jagannathan of VMwar...
 
Redis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
Redis for Data Science and Engineering by Dmitry Polyakovsky of OracleRedis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
Redis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
 
Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020
Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020
Practical Use Cases for ACLs in Redis 6 by Jamie Scott - Redis Day Seattle 2020
 
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
 
Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...
Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...
Leveraging Redis for System Monitoring by Adam McCormick of SBG - Redis Day S...
 
JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...
JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...
JSON in Redis - When to use RedisJSON by Jay Won of Coupang - Redis Day Seatt...
 
Highly Available Persistent Session Management Service by Mohamed Elmergawi o...
Highly Available Persistent Session Management Service by Mohamed Elmergawi o...Highly Available Persistent Session Management Service by Mohamed Elmergawi o...
Highly Available Persistent Session Management Service by Mohamed Elmergawi o...
 
Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...
Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...
Anatomy of a Redis Command by Madelyn Olson of Amazon Web Services - Redis Da...
 
Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...
Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...
Building a Multi-dimensional Analytics Engine with RedisGraph by Matthew Goos...
 
RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020
RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020
RediSearch 1.6 by Pieter Cailliau - Redis Day Bangalore 2020
 
RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020
RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020
RedisGraph 2.0 by Pieter Cailliau - Redis Day Bangalore 2020
 
RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020
RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020
RedisTimeSeries 1.2 by Pieter Cailliau - Redis Day Bangalore 2020
 
RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020
RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020
RedisAI 0.9 by Sherin Thomas of Tensorwerk - Redis Day Bangalore 2020
 
Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...
Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...
Rate-Limiting 30 Million requests by Vijay Lakshminarayanan and Girish Koundi...
 
Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...
Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...
Three Pillars of Observability by Rajalakshmi Raji Srinivasan of Site24x7 Zoh...
 
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
 

Último

KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 

Último (20)

KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 

Scaling Redis Cluster Deployments for Genome Analysis (featuring LSU) - Terry Leatherland, IBM