SlideShare a Scribd company logo
©2008-15 New Relic, Inc. All rights reserved.  
Confidential ©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
servers
>50 >150employees
©2008-15 New Relic, Inc. All rights reserved.  
Or, just use Postgres
©2008-15 New Relic, Inc. All rights reserved.  
Your storage is important
©2008-15 New Relic, Inc. All rights reserved.  
5.01 Billion Events Inspected in 1,746.0 ms (2,869.0 MEPS)
©2008-15 New Relic, Inc. All rights reserved.  
5.01 Billion Events Inspected in 1,746.0 ms (2,869.0 MEPS)
©2008-15 New Relic, Inc. All rights reserved.  
▪
©2008-15 New Relic, Inc. All rights reserved.  
Roll the dice
©2008-15 New Relic, Inc. All rights reserved.  
You could read marketing websites…
10
…but they suck
Blather
Channel Functionality Richness
• Redefining one-to-one ROI rage
• Productization of convergent masses
• Deployment of growth embracement
• Transitioning seamless mind melds
• Transforming intuitive e-paradigms
extensibles incubations ablations harnesses fenestration
Disintermediating your scalable platform to enable frictionless mindshare
Best-of-Breed About Ideas Contact News
Matrixing dynamic cross-media communities
Re-iterating the plug-and-play convergence between seamless and sexy
We cultivate empowering convergences
to compel impactful enterprise innovation
for the next-generation of killer vortals.
Lending our strategic eyeballs to the rapid
unleashment of your brand architecture in
value-added cloud enabled revolutionals.
We are the leading reinvention envisioneers,
compelling the collaborative transformation
of extensible , realational target visualizings.
Incubating end-to-end bench-markers
ACTION SIZINGS
Putting holistic portals

into the solutions basket
©2008-15 New Relic, Inc. All rights reserved.   11
25
SPEED
DEATH SAVES
SUCCESSES

FAILURES
____ STRENGTH
____ WISDOM
____ DEXTERITY
____ INTELLIGENCE
STRENGTH
20
+5
WISDOM
10
0
DEXTERITY
10
0
INTELLIGENCE
12
+1
Jammorn Rubymace
INSPIRATION20
+3 PROFICIENCY BONUS
____ CONSTITUTION
____ CHARISMA
+5
0
+2
+4
+1
+3
____ ACROBATICS
____ DECEPTION
____ ARCANA
____ ATHLETICS
0
0
+2
+5
CURRENT HIT POINTS
TEMPORARY HIT POINTS
68
5
18
WEAPONS
0
INITIATIVE
TOTAL 8
HIT DICE
1d10
Maul ____ _______+9 2d6+6
Hammer ____ _______+8 1d4+5
CLASS & LEVEL
CHARACTER NAME
8 Paladin Oathbreaker
RACE
Mountain Dwarf
BACKGROUND
Acolyte
ALIGNMENT
LE
PLAYER NAME
Steve Holt
EXPERIENCE POINTS
34000
PERSONALITY TRAITS
I quote sacred texts and proverbs
I condemn the worship of other gods
IDEALS
I hope one day to rise to the top of

my faith’s religious hierarchy
BONDS
I seek to preserve a sacred text that

my enemies seek to destroy
FLAWS
I am inflexible in my thinking
I am intolerant of other faiths.
©2008-15 New Relic, Inc. All rights reserved.   12
25
SPEED
DEATH SAVES
SUCCESSES

FAILURES
____ STRENGTH
____ WISDOM
____ DEXTERITY
____ INTELLIGENCE
STRENGTH
20
+5
WISDOM
10
0
DEXTERITY
10
0
INTELLIGENCE
12
+1
Jammorn Rubymace
INSPIRATION20
+3 PROFICIENCY BONUS
____ CONSTITUTION
____ CHARISMA
+5
0
+2
+4
+1
+3
____ ACROBATICS
____ DECEPTION
____ ARCANA
____ ATHLETICS
0
0
+2
+5
CURRENT HIT POINTS
TEMPORARY HIT POINTS
68
5
18
WEAPONS
0
INITIATIVE
TOTAL 8
HIT DICE
1d10
Maul ____ _______+9 2d6+6
Hammer ____ _______+8 1d4+5
CLASS & LEVEL
CHARACTER NAME
8 Paladin Oathbreaker
RACE
Mountain Dwarf
BACKGROUND
Acolyte
ALIGNMENT
LE
PLAYER NAME
Steve Holt
EXPERIENCE POINTS
34000
PERSONALITY TRAITS
I quote sacred texts and proverbs
I condemn the worship of other gods
IDEALS
I hope one day to rise to the top of

my faith’s religious hierarchy
BONDS
I seek to preserve a sacred text that

my enemies seek to destroy
FLAWS
I am inflexible in my thinking
I am intolerant of other faiths.
©2008-15 New Relic, Inc. All rights reserved.  
What TYPE of data do I have?
Characterize your data
How MUCH of it will I have?
How FAST must I read and write it?

How CONSISTENT must it be?
How AVAILABLE must it be?
How STRUCTURED is it?
©2008-15 New Relic, Inc. All rights reserved.  
What TYPE of data do I have?
Characterize your data
How MUCH of it will I have?
How FAST must I read and write it?

How CONSISTENT must it be?
How AVAILABLE must it be?
How STRUCTURED is it?
©2008-15 New Relic, Inc. All rights reserved.  
Characterize your data
©2008-15 New Relic, Inc. All rights reserved.  
Human Half-Orc DwarfElfGnome
©2008-15 New Relic, Inc. All rights reserved.  
Characterize your data
Event Timeslice BinaryRelationalCache
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
Event data: The Human
▪ Events discrete in time

▪ Typically data backing a line or points on a chart

▪ Short-lived, high quantity

▪ Examples: monitoring, adtech, analytics
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
I can store billions of events for you

to query however you like – and fast.
Larger, low-frequency events are

a hassle for me, and don’t ask me

to forget them.
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
Timeslice data: The Half-Orc
▪ Pre-aggregated time-series data. Written in

a coarser time resolution than event data,
representing a time bucket of single events

▪ Also powers lines on charts, but cannot

power histograms or percentiles

▪ Examples: weather observations, population
statistics, low-fidelity monitoring needs
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
I can write and store time series data
very efficiently.
I need other services around 

me to succeed, like KairosDB or
Doradus.
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
Relational data: The Elf
▪ Traditional SQL databases: highly structured

and organized

▪ Long-lived

▪ Data scales to a single machine with replicas

▪ Best for human-generated data, or slowly

created data where correctness is essential.

▪ Examples: financial records, complex data
structures
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
I offer you rich SQL functionality

and flexible plugins on

a stable platform.
I am easily overwhelmed by large
numbers of writes.
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
Blob and binary data: The Dwarf
▪ Large, structured objects queried based on
metadata. Sampled or generated on a schedule, not
a constant stream.

▪ Less sensitive to latency

▪ Specialized structure and querying

▪ Examples: images, videos, software distributions
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
I store vast amounts of binary data
and can age out old data easily.
I am specialized for a particular 

feature one at a time.
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
Cache data: The Gnome
▪ Systems that bring frequently-queried data into
persistent memory outside your process

▪ Lots of small objects in memory that age out over
time

▪ Typically deployed as look-aside instead of write-
through

▪ Examples: html fragments, frequently accessed IDs
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
I offer fantastic atomic concurrency
primitives and predictable performance.
I can be too specialized for large
scale cache needs.
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
I can apply my powerful key-value
and counter skills in almost any
situation, including mass scale.
I rely on my compatriots to
remember anything.
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
Characterize your data
Event Timeslice BinaryRelationalCache
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  ©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
▪
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  ▪
Form your party
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
▪
Form your party
▪▪
©2008-15 New Relic, Inc. All rights reserved.  
©2008-15 New Relic, Inc. All rights reserved.  
What TYPE of data do I have?
Form your party
How MUCH of it will I have?
How FAST must I read and write it?

How CONSISTENT must it be?
How AVAILABLE must it be?
How STRUCTURED is it?
©2008-15 New Relic, Inc. All rights reserved.  
What TYPE of data do I have?
Form your party
How MUCH of it will I have?
How FAST must I read and write it?
How CONSISTENT must it be?
How AVAILABLE must it be?
How STRUCTURED is it?
©2008-15 New Relic, Inc. All rights reserved.  ©2008-15 New Relic, Inc. All rights reserved.  
Race names, classes, and descriptions are reproduced under the terms of the Open Game License 1.0a.
http://paizo.com/pathfinderRPG/prd/openGameLicense.html
©2008-15 New Relic, Inc. All rights reserved.  
Presenter Name, Title and or Date
Race names, classes, and descriptions are reproduced under the terms
of the Open Game License 1.0a.
http://paizo.com/pathfinderRPG/prd/openGameLicense.html

More Related Content

Similar to Databases and Dragons

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Cloudera, Inc.
 
5 keys to high availability applications
5 keys to high availability applications5 keys to high availability applications
5 keys to high availability applications
Lee Atchison
 
IDERA Live | The Ever Growing Science of Database Migrations
IDERA Live | The Ever Growing Science of Database MigrationsIDERA Live | The Ever Growing Science of Database Migrations
IDERA Live | The Ever Growing Science of Database Migrations
IDERA Software
 
Velocity - cloudy with a chance of scaling
Velocity - cloudy with a chance of scalingVelocity - cloudy with a chance of scaling
Velocity - cloudy with a chance of scaling
Lee Atchison
 
Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...
Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...
Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...
New Relic
 
JavaCro'15 - HTTP2 Comes to Java! - David Delabassee
JavaCro'15 - HTTP2 Comes to Java! - David DelabasseeJavaCro'15 - HTTP2 Comes to Java! - David Delabassee
JavaCro'15 - HTTP2 Comes to Java! - David Delabassee
HUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
 
Nov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big DataNov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big Data
Yahoo Developer Network
 
Sharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick King
Sharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick KingSharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick King
Sharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick King
Redis Labs
 
Why Information Architecture is Vital for Effective Information Management
Why Information Architecture is Vital for Effective Information ManagementWhy Information Architecture is Vital for Effective Information Management
Why Information Architecture is Vital for Effective Information Management
J. Kevin Parker, CIP
 
Cassandra and IoT
Cassandra and IoTCassandra and IoT
Cassandra and IoT
Russell Spitzer
 
Test Expo 2009 Site Confidence & Seriti Consulting Load Test Case Study
Test Expo 2009   Site Confidence & Seriti Consulting   Load Test Case StudyTest Expo 2009   Site Confidence & Seriti Consulting   Load Test Case Study
Test Expo 2009 Site Confidence & Seriti Consulting Load Test Case Study
Stephen Thair
 
Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.
Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.
Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.
Milomir Vojvodic
 
Data Warehousing Patterns for Hadoop
Data Warehousing Patterns for HadoopData Warehousing Patterns for Hadoop
Data Warehousing Patterns for Hadoop
Michelle Ufford
 
Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)
Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)
Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)
Luke Tillman
 
implementation of a big data architecture for real-time analytics with data s...
implementation of a big data architecture for real-time analytics with data s...implementation of a big data architecture for real-time analytics with data s...
implementation of a big data architecture for real-time analytics with data s...
Joseph Arriola
 
HOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTA
HOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTAHOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTA
HOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTA
Big Data Week
 
The Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science TeamThe Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science Team
Senturus
 
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Precisely
 
How to Identify SQL Server Blame Shifters and Fix Them Quickly
How to Identify SQL Server Blame Shifters and Fix Them QuicklyHow to Identify SQL Server Blame Shifters and Fix Them Quickly
How to Identify SQL Server Blame Shifters and Fix Them Quickly
SolarWinds
 
MySQL London Tech Tour March 2015 - Big Data
MySQL London Tech Tour March 2015 - Big DataMySQL London Tech Tour March 2015 - Big Data
MySQL London Tech Tour March 2015 - Big Data
Mark Swarbrick
 

Similar to Databases and Dragons (20)

Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
 
5 keys to high availability applications
5 keys to high availability applications5 keys to high availability applications
5 keys to high availability applications
 
IDERA Live | The Ever Growing Science of Database Migrations
IDERA Live | The Ever Growing Science of Database MigrationsIDERA Live | The Ever Growing Science of Database Migrations
IDERA Live | The Ever Growing Science of Database Migrations
 
Velocity - cloudy with a chance of scaling
Velocity - cloudy with a chance of scalingVelocity - cloudy with a chance of scaling
Velocity - cloudy with a chance of scaling
 
Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...
Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...
Rock Stars, Builders, and Janitors: You're Doing It Wrong, New Relic [FutureS...
 
JavaCro'15 - HTTP2 Comes to Java! - David Delabassee
JavaCro'15 - HTTP2 Comes to Java! - David DelabasseeJavaCro'15 - HTTP2 Comes to Java! - David Delabassee
JavaCro'15 - HTTP2 Comes to Java! - David Delabassee
 
Nov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big DataNov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big Data
 
Sharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick King
Sharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick KingSharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick King
Sharded Redis With Sentinel Vs Redis Cluster: What We Learned: Patrick King
 
Why Information Architecture is Vital for Effective Information Management
Why Information Architecture is Vital for Effective Information ManagementWhy Information Architecture is Vital for Effective Information Management
Why Information Architecture is Vital for Effective Information Management
 
Cassandra and IoT
Cassandra and IoTCassandra and IoT
Cassandra and IoT
 
Test Expo 2009 Site Confidence & Seriti Consulting Load Test Case Study
Test Expo 2009   Site Confidence & Seriti Consulting   Load Test Case StudyTest Expo 2009   Site Confidence & Seriti Consulting   Load Test Case Study
Test Expo 2009 Site Confidence & Seriti Consulting Load Test Case Study
 
Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.
Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.
Milomir Vojvodic - Business Analytics And Big Data Partner Forum Dubai 15.11.
 
Data Warehousing Patterns for Hadoop
Data Warehousing Patterns for HadoopData Warehousing Patterns for Hadoop
Data Warehousing Patterns for Hadoop
 
Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)
Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)
Relational Scaling and the Temple of Gloom (from Cassandra Summit 2015)
 
implementation of a big data architecture for real-time analytics with data s...
implementation of a big data architecture for real-time analytics with data s...implementation of a big data architecture for real-time analytics with data s...
implementation of a big data architecture for real-time analytics with data s...
 
HOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTA
HOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTAHOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTA
HOW TO LEVERAGE CLOUD FOR BIG DATA ANALYTICS - KEYUR MEHTA
 
The Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science TeamThe Data Lake: Empowering Your Data Science Team
The Data Lake: Empowering Your Data Science Team
 
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data InsightSyncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
 
How to Identify SQL Server Blame Shifters and Fix Them Quickly
How to Identify SQL Server Blame Shifters and Fix Them QuicklyHow to Identify SQL Server Blame Shifters and Fix Them Quickly
How to Identify SQL Server Blame Shifters and Fix Them Quickly
 
MySQL London Tech Tour March 2015 - Big Data
MySQL London Tech Tour March 2015 - Big DataMySQL London Tech Tour March 2015 - Big Data
MySQL London Tech Tour March 2015 - Big Data
 

More from New Relic

7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale
New Relic
 
7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale
New Relic
 
New Relic University at Future Stack Tokyo 2019
New Relic University at Future Stack Tokyo 2019New Relic University at Future Stack Tokyo 2019
New Relic University at Future Stack Tokyo 2019
New Relic
 
FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...
FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...
FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...
New Relic
 
FutureStack Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...
FutureStack  Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...FutureStack  Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...
FutureStack Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...
New Relic
 
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖をFutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
New Relic
 
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
New Relic
 
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
New Relic
 
Three Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid ThemThree Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid Them
New Relic
 
Intro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes MonitoringIntro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes Monitoring
New Relic
 
FS18 Chicago Keynote
FS18 Chicago Keynote FS18 Chicago Keynote
FS18 Chicago Keynote
New Relic
 
SRE-iously
SRE-iouslySRE-iously
SRE-iously
New Relic
 
Ground Rules for Code Reviews
Ground Rules for Code ReviewsGround Rules for Code Reviews
Ground Rules for Code Reviews
New Relic
 
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
New Relic
 
Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic	Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic
New Relic
 
Host for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost OptimizationHost for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost Optimization
New Relic
 
New Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWSNew Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWS
New Relic
 
Best Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code PipelineBest Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code Pipeline
New Relic
 
Top Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with MonitoringTop Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with Monitoring
New Relic
 
Kubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for MonitoringKubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for Monitoring
New Relic
 

More from New Relic (20)

7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale
 
7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale7 Tips & Tricks to Having Happy Customers at Scale
7 Tips & Tricks to Having Happy Customers at Scale
 
New Relic University at Future Stack Tokyo 2019
New Relic University at Future Stack Tokyo 2019New Relic University at Future Stack Tokyo 2019
New Relic University at Future Stack Tokyo 2019
 
FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...
FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...
FutureStack Tokyo 19 -[事例講演]株式会社リクルートライフスタイル:年間9300万件以上のサロン予約を支えるホットペッパービューティ...
 
FutureStack Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...
FutureStack  Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...FutureStack  Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...
FutureStack Tokyo 19 -[New Relic テクニカル講演]モニタリングと可視化がデジタルトランスフォーメーションを救う! - サ...
 
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖をFutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
FutureStack Tokyo 19 -[特別講演]システム開発によろこびと驚きの連鎖を
 
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
FutureStack Tokyo 19 -[パートナー講演]アマゾン ウェブ サービス ジャパン株式会社: New Relicを活用したAWSへのアプリ...
 
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
FutureStack Tokyo 19_インサイトとデータを組織の力にする_株式会社ドワンゴ 池田 明啓 氏
 
Three Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid ThemThree Monitoring Mistakes and How to Avoid Them
Three Monitoring Mistakes and How to Avoid Them
 
Intro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes MonitoringIntro to Multidimensional Kubernetes Monitoring
Intro to Multidimensional Kubernetes Monitoring
 
FS18 Chicago Keynote
FS18 Chicago Keynote FS18 Chicago Keynote
FS18 Chicago Keynote
 
SRE-iously
SRE-iouslySRE-iously
SRE-iously
 
Ground Rules for Code Reviews
Ground Rules for Code ReviewsGround Rules for Code Reviews
Ground Rules for Code Reviews
 
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
Understanding Microservice Latency for DevOps Teams: An Introduction to New R...
 
Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic	Monitor all your Kubernetes and EKS stack with New Relic
Monitor all your Kubernetes and EKS stack with New Relic
 
Host for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost OptimizationHost for the Most: Cloud Cost Optimization
Host for the Most: Cloud Cost Optimization
 
New Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWSNew Relic Infrastructure in the Real World: AWS
New Relic Infrastructure in the Real World: AWS
 
Best Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code PipelineBest Practices for Measuring your Code Pipeline
Best Practices for Measuring your Code Pipeline
 
Top Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with MonitoringTop Three Mistakes People Make with Monitoring
Top Three Mistakes People Make with Monitoring
 
Kubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for MonitoringKubernetes in the Wild: Best Practices for Monitoring
Kubernetes in the Wild: Best Practices for Monitoring
 

Recently uploaded

一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
xclpvhuk
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
Social Samosa
 
Experts live - Improving user adoption with AI
Experts live - Improving user adoption with AIExperts live - Improving user adoption with AI
Experts live - Improving user adoption with AI
jitskeb
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
vikram sood
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
Timothy Spann
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
Timothy Spann
 
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
ihavuls
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
v7oacc3l
 
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
wyddcwye1
 
Everything you wanted to know about LIHTC
Everything you wanted to know about LIHTCEverything you wanted to know about LIHTC
Everything you wanted to know about LIHTC
Roger Valdez
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
manishkhaire30
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
ElizabethGarrettChri
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
SaffaIbrahim1
 
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma TranscriptUniversity of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
soxrziqu
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
bopyb
 
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdfUdemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Fernanda Palhano
 

Recently uploaded (20)

一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
 
Experts live - Improving user adoption with AI
Experts live - Improving user adoption with AIExperts live - Improving user adoption with AI
Experts live - Improving user adoption with AI
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
 
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
 
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
 
Everything you wanted to know about LIHTC
Everything you wanted to know about LIHTCEverything you wanted to know about LIHTC
Everything you wanted to know about LIHTC
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
 
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma TranscriptUniversity of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
 
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdfUdemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
Udemy_2024_Global_Learning_Skills_Trends_Report (1).pdf
 

Databases and Dragons

  • 1. ©2008-15 New Relic, Inc. All rights reserved.  
  • 2. Confidential ©2008-15 New Relic, Inc. All rights reserved.  
  • 3. ©2008-15 New Relic, Inc. All rights reserved.   servers >50 >150employees
  • 4. ©2008-15 New Relic, Inc. All rights reserved.   Or, just use Postgres
  • 5. ©2008-15 New Relic, Inc. All rights reserved.   Your storage is important
  • 6. ©2008-15 New Relic, Inc. All rights reserved.   5.01 Billion Events Inspected in 1,746.0 ms (2,869.0 MEPS)
  • 7. ©2008-15 New Relic, Inc. All rights reserved.   5.01 Billion Events Inspected in 1,746.0 ms (2,869.0 MEPS)
  • 8. ©2008-15 New Relic, Inc. All rights reserved.   ▪
  • 9. ©2008-15 New Relic, Inc. All rights reserved.   Roll the dice
  • 10. ©2008-15 New Relic, Inc. All rights reserved.   You could read marketing websites… 10 …but they suck Blather Channel Functionality Richness • Redefining one-to-one ROI rage • Productization of convergent masses • Deployment of growth embracement • Transitioning seamless mind melds • Transforming intuitive e-paradigms extensibles incubations ablations harnesses fenestration Disintermediating your scalable platform to enable frictionless mindshare Best-of-Breed About Ideas Contact News Matrixing dynamic cross-media communities Re-iterating the plug-and-play convergence between seamless and sexy We cultivate empowering convergences to compel impactful enterprise innovation for the next-generation of killer vortals. Lending our strategic eyeballs to the rapid unleashment of your brand architecture in value-added cloud enabled revolutionals. We are the leading reinvention envisioneers, compelling the collaborative transformation of extensible , realational target visualizings. Incubating end-to-end bench-markers ACTION SIZINGS Putting holistic portals
 into the solutions basket
  • 11. ©2008-15 New Relic, Inc. All rights reserved.   11 25 SPEED DEATH SAVES SUCCESSES FAILURES ____ STRENGTH ____ WISDOM ____ DEXTERITY ____ INTELLIGENCE STRENGTH 20 +5 WISDOM 10 0 DEXTERITY 10 0 INTELLIGENCE 12 +1 Jammorn Rubymace INSPIRATION20 +3 PROFICIENCY BONUS ____ CONSTITUTION ____ CHARISMA +5 0 +2 +4 +1 +3 ____ ACROBATICS ____ DECEPTION ____ ARCANA ____ ATHLETICS 0 0 +2 +5 CURRENT HIT POINTS TEMPORARY HIT POINTS 68 5 18 WEAPONS 0 INITIATIVE TOTAL 8 HIT DICE 1d10 Maul ____ _______+9 2d6+6 Hammer ____ _______+8 1d4+5 CLASS & LEVEL CHARACTER NAME 8 Paladin Oathbreaker RACE Mountain Dwarf BACKGROUND Acolyte ALIGNMENT LE PLAYER NAME Steve Holt EXPERIENCE POINTS 34000 PERSONALITY TRAITS I quote sacred texts and proverbs I condemn the worship of other gods IDEALS I hope one day to rise to the top of
 my faith’s religious hierarchy BONDS I seek to preserve a sacred text that
 my enemies seek to destroy FLAWS I am inflexible in my thinking I am intolerant of other faiths.
  • 12. ©2008-15 New Relic, Inc. All rights reserved.   12 25 SPEED DEATH SAVES SUCCESSES FAILURES ____ STRENGTH ____ WISDOM ____ DEXTERITY ____ INTELLIGENCE STRENGTH 20 +5 WISDOM 10 0 DEXTERITY 10 0 INTELLIGENCE 12 +1 Jammorn Rubymace INSPIRATION20 +3 PROFICIENCY BONUS ____ CONSTITUTION ____ CHARISMA +5 0 +2 +4 +1 +3 ____ ACROBATICS ____ DECEPTION ____ ARCANA ____ ATHLETICS 0 0 +2 +5 CURRENT HIT POINTS TEMPORARY HIT POINTS 68 5 18 WEAPONS 0 INITIATIVE TOTAL 8 HIT DICE 1d10 Maul ____ _______+9 2d6+6 Hammer ____ _______+8 1d4+5 CLASS & LEVEL CHARACTER NAME 8 Paladin Oathbreaker RACE Mountain Dwarf BACKGROUND Acolyte ALIGNMENT LE PLAYER NAME Steve Holt EXPERIENCE POINTS 34000 PERSONALITY TRAITS I quote sacred texts and proverbs I condemn the worship of other gods IDEALS I hope one day to rise to the top of
 my faith’s religious hierarchy BONDS I seek to preserve a sacred text that
 my enemies seek to destroy FLAWS I am inflexible in my thinking I am intolerant of other faiths.
  • 13. ©2008-15 New Relic, Inc. All rights reserved.   What TYPE of data do I have? Characterize your data How MUCH of it will I have? How FAST must I read and write it? How CONSISTENT must it be? How AVAILABLE must it be? How STRUCTURED is it?
  • 14. ©2008-15 New Relic, Inc. All rights reserved.   What TYPE of data do I have? Characterize your data How MUCH of it will I have? How FAST must I read and write it? How CONSISTENT must it be? How AVAILABLE must it be? How STRUCTURED is it?
  • 15. ©2008-15 New Relic, Inc. All rights reserved.   Characterize your data ©2008-15 New Relic, Inc. All rights reserved.   Human Half-Orc DwarfElfGnome
  • 16. ©2008-15 New Relic, Inc. All rights reserved.   Characterize your data Event Timeslice BinaryRelationalCache ©2008-15 New Relic, Inc. All rights reserved.  
  • 17. ©2008-15 New Relic, Inc. All rights reserved.   Event data: The Human ▪ Events discrete in time ▪ Typically data backing a line or points on a chart ▪ Short-lived, high quantity ▪ Examples: monitoring, adtech, analytics ©2008-15 New Relic, Inc. All rights reserved.  
  • 18. ©2008-15 New Relic, Inc. All rights reserved.   I can store billions of events for you
 to query however you like – and fast. Larger, low-frequency events are
 a hassle for me, and don’t ask me
 to forget them. ©2008-15 New Relic, Inc. All rights reserved.  
  • 19. ©2008-15 New Relic, Inc. All rights reserved.   Timeslice data: The Half-Orc ▪ Pre-aggregated time-series data. Written in
 a coarser time resolution than event data, representing a time bucket of single events ▪ Also powers lines on charts, but cannot
 power histograms or percentiles ▪ Examples: weather observations, population statistics, low-fidelity monitoring needs ©2008-15 New Relic, Inc. All rights reserved.  
  • 20. ©2008-15 New Relic, Inc. All rights reserved.   I can write and store time series data very efficiently. I need other services around 
 me to succeed, like KairosDB or Doradus. ©2008-15 New Relic, Inc. All rights reserved.  
  • 21. ©2008-15 New Relic, Inc. All rights reserved.   Relational data: The Elf ▪ Traditional SQL databases: highly structured
 and organized ▪ Long-lived ▪ Data scales to a single machine with replicas ▪ Best for human-generated data, or slowly
 created data where correctness is essential. ▪ Examples: financial records, complex data structures ©2008-15 New Relic, Inc. All rights reserved.  
  • 22. ©2008-15 New Relic, Inc. All rights reserved.   I offer you rich SQL functionality
 and flexible plugins on
 a stable platform. I am easily overwhelmed by large numbers of writes. ©2008-15 New Relic, Inc. All rights reserved.  
  • 23. ©2008-15 New Relic, Inc. All rights reserved.   Blob and binary data: The Dwarf ▪ Large, structured objects queried based on metadata. Sampled or generated on a schedule, not a constant stream. ▪ Less sensitive to latency ▪ Specialized structure and querying ▪ Examples: images, videos, software distributions ©2008-15 New Relic, Inc. All rights reserved.  
  • 24. ©2008-15 New Relic, Inc. All rights reserved.   I store vast amounts of binary data and can age out old data easily. I am specialized for a particular 
 feature one at a time. ©2008-15 New Relic, Inc. All rights reserved.  
  • 25. ©2008-15 New Relic, Inc. All rights reserved.   Cache data: The Gnome ▪ Systems that bring frequently-queried data into persistent memory outside your process ▪ Lots of small objects in memory that age out over time ▪ Typically deployed as look-aside instead of write- through ▪ Examples: html fragments, frequently accessed IDs ©2008-15 New Relic, Inc. All rights reserved.  
  • 26. ©2008-15 New Relic, Inc. All rights reserved.   I offer fantastic atomic concurrency primitives and predictable performance. I can be too specialized for large scale cache needs. ©2008-15 New Relic, Inc. All rights reserved.  
  • 27. ©2008-15 New Relic, Inc. All rights reserved.   I can apply my powerful key-value and counter skills in almost any situation, including mass scale. I rely on my compatriots to remember anything. ©2008-15 New Relic, Inc. All rights reserved.  
  • 28. ©2008-15 New Relic, Inc. All rights reserved.   Characterize your data Event Timeslice BinaryRelationalCache ©2008-15 New Relic, Inc. All rights reserved.  
  • 29. ©2008-15 New Relic, Inc. All rights reserved.  ©2008-15 New Relic, Inc. All rights reserved.  
  • 30. ©2008-15 New Relic, Inc. All rights reserved.   ▪ ©2008-15 New Relic, Inc. All rights reserved.  
  • 31. ©2008-15 New Relic, Inc. All rights reserved.  ▪ Form your party ©2008-15 New Relic, Inc. All rights reserved.  
  • 32. ©2008-15 New Relic, Inc. All rights reserved.   ▪ Form your party ▪▪ ©2008-15 New Relic, Inc. All rights reserved.  
  • 33. ©2008-15 New Relic, Inc. All rights reserved.   What TYPE of data do I have? Form your party How MUCH of it will I have? How FAST must I read and write it? How CONSISTENT must it be? How AVAILABLE must it be? How STRUCTURED is it?
  • 34. ©2008-15 New Relic, Inc. All rights reserved.   What TYPE of data do I have? Form your party How MUCH of it will I have? How FAST must I read and write it? How CONSISTENT must it be? How AVAILABLE must it be? How STRUCTURED is it?
  • 35. ©2008-15 New Relic, Inc. All rights reserved.  ©2008-15 New Relic, Inc. All rights reserved.   Race names, classes, and descriptions are reproduced under the terms of the Open Game License 1.0a. http://paizo.com/pathfinderRPG/prd/openGameLicense.html
  • 36. ©2008-15 New Relic, Inc. All rights reserved.   Presenter Name, Title and or Date Race names, classes, and descriptions are reproduced under the terms of the Open Game License 1.0a. http://paizo.com/pathfinderRPG/prd/openGameLicense.html