SlideShare ist ein Scribd-Unternehmen logo
1 von 38
Tracking Activity with Neo4j
• Build Engineer (Build Engineering Team)
• Located in Paris, France
• Responsibilities
‒ Development of reusable Gradle plugins
‒ Administration of Artifactory
‒ Development of custom tools
‒ Support to engineering teams (mainly build-related)
‒ Sentinel (Server to track activity)
Who Am I ?
Workday Confidential
The Build Engineering Mission
• Define policies for engineering teams
(dependency locking, artifact promotion,
artifact metadata)
• Provide reusable tooling (Gradle plugins &
other custom tools)
• Administer shared services (Artifactory)
• Provide assistance to engineering teams
Build Engineering – Our mission
Workday Confidential
• To ensure policies are followed
• Engineers enjoy a lot of freedom at Workday !
‒ Netflix: The Paved Road
• Is our tooling relevant ?
• Gain insight into how development teams are working
 We need answers to those questions !
Why We Need Monitoring
Workday Confidential
• Artifacts (Jars, Rpms, “Deliveries”, etc)
• CI Builds (in Bamboo, Team City and Jenkins)
• SCM changes (in BitBucket, GitHub, Gerritt, etc)
• Dependencies (between Artifacts, Builds, etc)
• JIRA issues (tracking of code)
• Promotions (of artifacts)
• Metadata in general
We’re interested in …
Workday Confidential
• No unified system of records with all this information !
• The data is scattered across different systems (AF, CI, JIRA…)
• … is secured with different credentials (AD, LDAP)
• … is stored under different formats (JSON, XML, CSV, etc)
• … is not always easily accessible
• Accessing one data source is (usually) easy
• Accessing two data sources is already a bit trickier
• No unified query language for joining the aggregated data
Problem: The Data is Everywhere
Workday Confidential
Requirements
• Simple access to the information
• Unified and intuitive data model
• Powerful query language
• Data as accurate as possible
 Frequent updates to the data
 Updates must be fast (performance)
• Ability to easily refactor the data model
• Ability to expose this information to engineering teams (automation)
Requirements
Workday Confidential
• We don’t want to rely on users to provide the information (unless we
have no other choice) !
• The information we need usually already exists or can be derived,
let’s use it !
But first of all !
Workday Confidential
Sentinel – Architecture Overview
Architecture Overview
Workday Confidential
REST API
Web UI
Data
Miner
…
JIRA
Artifactory
Bamboo
BitBucket
Data SourcesA foundation to solve current and future problems
Neo4j
Aggregation
Sanitization
Normalization
• Command line tool (written in Groovy)
• Executable fat jar
• Runs from Bamboo every 15 mins
• Scans the data sources containing the information we need
• Preemptively extracts, sanitizes & normalizes the data
• Detects incremental changes (optimized for performance)
• Crash-proof
• A run executes 59 commands in sequence
• Scan time: 8 mins (min), 23 mins (average)
The Data Miner
Workday Confidential
• A (NoSQL) graph database
• Graph paradigm is good for our need
• Very flexible and easy to use
• Schema-less
• Excellent performance
• All the useful data in one place
• Cypher (Query Language) !
The Neo4j Database
Workday Confidential
• UI made of HTML dashboards & dynamic charts
• REST API
• Spring Boot, Thymeleaf, D3.js, Swagger
The Services We Expose
Workday Confidential
Neo4j in a Nutshell
• Nodes have properties (Comparable to a Map<String, ?>)
• … can have 0-N labels (Typing, Polymorphism)
Neo4j - Nodes
Workday Confidential
core
1.0.5 jar
Artifact ArtifactoryFile Workday id com.workday:core
group com.workday
artifact core
version 1.0.5
created 1458713182201
• Relationships represent an edge between 2 nodes
• … have a name
• … can be directed
• … can have properties
Neo4j - Relationships
Workday Confidential
Artifact
core
1.0.5 jar
Git Commit
core
5ce1f767
HAS_COMMIT
Neo4j query language
A node ()
A labeled node (:Person)
A relationship between 2 nodes ()--()
A directed labeled relationship ()-[:PARENT_OF]->()
MATCH (parent:Person)-[:PARENT_OF]->(child:Person)
RETURN parent.name, COLLECT(child.name)
Neo4j - Cypher
Workday Confidential
Extracting the Data
Everything Starts with Artifactory
Workday Confidential
• Official repository of Artifacts, Rpms, Docker images
• REST API to detect new artifacts in repositories
Step 1: Artifacts
Workday Confidential
• URI: com/workday/core/1.0.5/core-1.0.5-javadoc.jar
 Group com.workday
 Module core
 Version 1.0.5
 Type jar
 Classifier javadoc
 ID: “com.workday:core:1.0.5:javadoc@jar”
Artifact
core 1.0.5 jar
javadoc
Step 2: Module Versions
Workday Confidential
• The artifact relates to a “Module Version”
 Group com.workday
 Module core
 Version 1.0.5
 ID: “com.workday:core:1.0.5”
ModuleVersion
core 1.0.5
Step 3: Modules
Workday Confidential
• The module version relates to a “Module”
 Group com.workday
 Module core
 ID: “com.workday:core”
Module
core
All Together With Relationships
Workday Confidential
Module
coreArtifact
jar
Artifact
javadoc
jar
Artifact
sources
jar
ARTIFACT_OF
Artifact
jar
Artifact
javadoc
jar
Artifact
sources
jar
ARTIFACT_OF
Version
1.0.5
Version
1.0.7
VERSION_OF VERSION_OF
Version
1.0.6
Step 4: Artifact Dependencies
Workday Confidential
• Maven / Ivy descriptors  Dependencies
• Dependencies  DEPENDS_ON relationships
services
2.0.0
DEPENDS_ON
gson
2.2.2
core
1.0.5
DEPENDS_ON
Step 5: Artifact Metadata
Workday Confidential
• Populated at build time (by a custom Gradle plugin)
• Captures information about
‒ Gradle, JDK, Build machine
‒ CI builds
‒ SCM changes
• Makes artifacts “self-documented”
Manifest Metadata – SCM Info
Workday Confidential
• WD-Git-Origin ssh://git@bitbucket.acme.com/core/core.git
• WD-Git-Commit e28a60b96f452680c57cb76798def09fd171011f
Artifact
core
1.0.5 jar
Git Commit
core
e28a60…
HAS_COMMIT
Concrete Examples
List of all Workday Artifacts
Workday Confidential
Group Module Latest
Version
Age
(days)
SCM url SCM
change
Build
URL
Latest
JIRAs
com.workday core 1.0.5 120.2 core.git e28a60b9 URL CORE-120
com.workday foo-services 1.3.0 29.1 foo-services.git 146ae135 URL FOO-57
com.workday bar-services 2.2.8 54.8 bar-services.git b538c156 URL BAR-70
… … … … … … … …
Public dashboard accessible with latest information (automatically up-to-date)
→ Where’s the build of this jar file ?
→ Where are the sources for this jar file ?
Identifying Direct Dependents
Workday Confidential
MATCH (dependent:ModuleVersion)-[:DEPENDS_ON]->(dependency:ModuleVersion)
WHERE dependency.id = "com.workday:core:1.0.5”
RETURN dependent.id AS dependent
 Service in the Sentinel REST API
Dependent
com.workday:foo-
services:1.3.0
com.workday:foo-
services:1.2.5
com.workday:bar-
services:2.2.8
com.workday:bar-
services:2.2.7
…
Build Orchestration
Workday Confidential
Producing build Consuming build
Bamboo Build
CORE
BUILT
Artifact
core 1.0.5
jar
ModuleVersion
core 1.0.5
ARTIFACT_OF
ModuleVersion
foo-services 1.3.0
ARTIFACT_OF
Bamboo Build
FOO-SERVICES
Artifact
foo-services 1.3.0
jar
BUILT
DEPENDS_ON
DEPENDS_ON
Automated Release Notes
Workday Confidential
Version 1 Version 2
Bamboo Build
CORE #11
BUILT
Artifact
core v1
jar
Git Commit
core
5ce1f767
HAS_REVISION
Git Commit
core
ee2a0e22
HAS_REVISION
Bamboo Build
CORE #12
Artifact
core v2
Jar
BUILT
PARENT_REVISION
JIRA Issue
CORE-120
LINKS_TO
Identify SCM Changes per JIRA
Workday Confidential
Find all mentions of a JIRA in commit messages
Input: JIRA issue
Output: Set of SCM changes
JIRA Issue
CORE-120
Git Commit
core
5ce1f767
Git Commit
core
5954ff88
Git Commit
core
ee2a0e22
Rule: “No dynamic dependencies in Maven / Ivy files”
Rationale: Builds must be reproducible
Dynamic versions: 1.+, LATEST, [1.0, 2.0[
Detection of Rule Violations
Workday Confidential
HTML dashboard listing the latest violations
ModuleVersion
baz 4.2.10
ModuleVersion
pmd-checks
1.+
DEPENDS_ON
Conclusion
Workday Confidential
• Service rolled out internally
• Neo4j is the perfect tool for capturing the data we’re interested in
‒ Very easy to refactor / enrich the data
• Cypher gives us insight from the aggregated data
• Solid foundation for future services
‒ Difficult part: Capturing the data
‒ Easy part: Leveraging the data by creating new queries
• Decisions based on facts, not (educated) guesses
• Holistic reporting
Q & A
Thanks for attending
Workday Confidential
TM

Weitere ähnliche Inhalte

Was ist angesagt?

Oem12c db12c and You
Oem12c db12c and YouOem12c db12c and You
Oem12c db12c and YouBobby Curtis
 
Extreme replication at IOUG Collaborate 15
Extreme replication at IOUG Collaborate 15Extreme replication at IOUG Collaborate 15
Extreme replication at IOUG Collaborate 15Bobby Curtis
 
Strudel: Framework for Transaction Performance Analyses on SQL/NoSQL Systems
Strudel: Framework for Transaction Performance Analyses on SQL/NoSQL SystemsStrudel: Framework for Transaction Performance Analyses on SQL/NoSQL Systems
Strudel: Framework for Transaction Performance Analyses on SQL/NoSQL Systemstatemura
 
Database As A Service: OEM + ODA (OOW 15 Presentation)
Database As A Service: OEM + ODA (OOW 15 Presentation)Database As A Service: OEM + ODA (OOW 15 Presentation)
Database As A Service: OEM + ODA (OOW 15 Presentation)Bobby Curtis
 
EDB's Migration Portal - Migrate from Oracle to Postgres
EDB's Migration Portal - Migrate from Oracle to PostgresEDB's Migration Portal - Migrate from Oracle to Postgres
EDB's Migration Portal - Migrate from Oracle to PostgresEDB
 
Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...
Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...
Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...Nagios
 
Building a friendly .NET SDK to connect to Space
Building a friendly .NET SDK to connect to SpaceBuilding a friendly .NET SDK to connect to Space
Building a friendly .NET SDK to connect to SpaceMaarten Balliauw
 
Terraform & Oracle Cloud Infrastructure
Terraform & Oracle Cloud InfrastructureTerraform & Oracle Cloud Infrastructure
Terraform & Oracle Cloud InfrastructureBobby Curtis
 
Data Science with the Help of Metadata
Data Science with the Help of MetadataData Science with the Help of Metadata
Data Science with the Help of MetadataJim Dowling
 
Enable GoldenGate Monitoring with OEM 12c/JAgent
Enable GoldenGate Monitoring with OEM 12c/JAgentEnable GoldenGate Monitoring with OEM 12c/JAgent
Enable GoldenGate Monitoring with OEM 12c/JAgentBobby Curtis
 
NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages
NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages  NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages
NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages DATAVERSITY
 
OEM12c, DB12c and You! - RMOUG TD2014 Edition
OEM12c, DB12c and You! - RMOUG TD2014 EditionOEM12c, DB12c and You! - RMOUG TD2014 Edition
OEM12c, DB12c and You! - RMOUG TD2014 EditionBobby Curtis
 
Infrastructure Provisioning in the context of organization
Infrastructure Provisioning in the context of organizationInfrastructure Provisioning in the context of organization
Infrastructure Provisioning in the context of organizationKatarína Valaliková
 
The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...
The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...
The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...Databricks
 
Oracle GoldenGate and Baseball - 5 Keys for Moving to the Cloud
Oracle GoldenGate and Baseball - 5 Keys for Moving to the CloudOracle GoldenGate and Baseball - 5 Keys for Moving to the Cloud
Oracle GoldenGate and Baseball - 5 Keys for Moving to the CloudBobby Curtis
 
Extreme Replication - RMOUG Presentation
Extreme Replication - RMOUG PresentationExtreme Replication - RMOUG Presentation
Extreme Replication - RMOUG PresentationBobby Curtis
 
How many ways to monitor oracle golden gate - OOW14
How many ways to monitor oracle golden gate - OOW14How many ways to monitor oracle golden gate - OOW14
How many ways to monitor oracle golden gate - OOW14Bobby Curtis
 
Oem12c patching -OOW13
Oem12c patching -OOW13Oem12c patching -OOW13
Oem12c patching -OOW13Bobby Curtis
 
Release 8.1 - Breakfast Paris
Release 8.1 - Breakfast ParisRelease 8.1 - Breakfast Paris
Release 8.1 - Breakfast ParisNuxeo
 

Was ist angesagt? (20)

Oem12c db12c and You
Oem12c db12c and YouOem12c db12c and You
Oem12c db12c and You
 
Extreme replication at IOUG Collaborate 15
Extreme replication at IOUG Collaborate 15Extreme replication at IOUG Collaborate 15
Extreme replication at IOUG Collaborate 15
 
Strudel: Framework for Transaction Performance Analyses on SQL/NoSQL Systems
Strudel: Framework for Transaction Performance Analyses on SQL/NoSQL SystemsStrudel: Framework for Transaction Performance Analyses on SQL/NoSQL Systems
Strudel: Framework for Transaction Performance Analyses on SQL/NoSQL Systems
 
Database As A Service: OEM + ODA (OOW 15 Presentation)
Database As A Service: OEM + ODA (OOW 15 Presentation)Database As A Service: OEM + ODA (OOW 15 Presentation)
Database As A Service: OEM + ODA (OOW 15 Presentation)
 
EDB's Migration Portal - Migrate from Oracle to Postgres
EDB's Migration Portal - Migrate from Oracle to PostgresEDB's Migration Portal - Migrate from Oracle to Postgres
EDB's Migration Portal - Migrate from Oracle to Postgres
 
Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...
Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...
Nagios Conference 2014 - Scott Wilkerson - Log Monitoring and Log Management ...
 
Building a friendly .NET SDK to connect to Space
Building a friendly .NET SDK to connect to SpaceBuilding a friendly .NET SDK to connect to Space
Building a friendly .NET SDK to connect to Space
 
Terraform & Oracle Cloud Infrastructure
Terraform & Oracle Cloud InfrastructureTerraform & Oracle Cloud Infrastructure
Terraform & Oracle Cloud Infrastructure
 
Data Science with the Help of Metadata
Data Science with the Help of MetadataData Science with the Help of Metadata
Data Science with the Help of Metadata
 
Enable GoldenGate Monitoring with OEM 12c/JAgent
Enable GoldenGate Monitoring with OEM 12c/JAgentEnable GoldenGate Monitoring with OEM 12c/JAgent
Enable GoldenGate Monitoring with OEM 12c/JAgent
 
NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages
NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages  NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages
NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages
 
OEM12c, DB12c and You! - RMOUG TD2014 Edition
OEM12c, DB12c and You! - RMOUG TD2014 EditionOEM12c, DB12c and You! - RMOUG TD2014 Edition
OEM12c, DB12c and You! - RMOUG TD2014 Edition
 
Infrastructure Provisioning in the context of organization
Infrastructure Provisioning in the context of organizationInfrastructure Provisioning in the context of organization
Infrastructure Provisioning in the context of organization
 
The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...
The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...
The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...
 
Spark sql meetup
Spark sql meetupSpark sql meetup
Spark sql meetup
 
Oracle GoldenGate and Baseball - 5 Keys for Moving to the Cloud
Oracle GoldenGate and Baseball - 5 Keys for Moving to the CloudOracle GoldenGate and Baseball - 5 Keys for Moving to the Cloud
Oracle GoldenGate and Baseball - 5 Keys for Moving to the Cloud
 
Extreme Replication - RMOUG Presentation
Extreme Replication - RMOUG PresentationExtreme Replication - RMOUG Presentation
Extreme Replication - RMOUG Presentation
 
How many ways to monitor oracle golden gate - OOW14
How many ways to monitor oracle golden gate - OOW14How many ways to monitor oracle golden gate - OOW14
How many ways to monitor oracle golden gate - OOW14
 
Oem12c patching -OOW13
Oem12c patching -OOW13Oem12c patching -OOW13
Oem12c patching -OOW13
 
Release 8.1 - Breakfast Paris
Release 8.1 - Breakfast ParisRelease 8.1 - Breakfast Paris
Release 8.1 - Breakfast Paris
 

Ähnlich wie GraphTour - Workday: Tracking activity with Neo4j (English Version)

Alfresco Business Reporting - Tech Talk Live 20130501
Alfresco Business Reporting - Tech Talk Live 20130501Alfresco Business Reporting - Tech Talk Live 20130501
Alfresco Business Reporting - Tech Talk Live 20130501Tjarda Peelen
 
Code for Startup MVP (Ruby on Rails) Session 1
Code for Startup MVP (Ruby on Rails) Session 1Code for Startup MVP (Ruby on Rails) Session 1
Code for Startup MVP (Ruby on Rails) Session 1Henry S
 
Netflix oss season 2 episode 1 - meetup Lightning talks
Netflix oss   season 2 episode 1 - meetup Lightning talksNetflix oss   season 2 episode 1 - meetup Lightning talks
Netflix oss season 2 episode 1 - meetup Lightning talksRuslan Meshenberg
 
Docker interview Questions-3.pdf
Docker interview Questions-3.pdfDocker interview Questions-3.pdf
Docker interview Questions-3.pdfYogeshwaran R
 
Spring Roo Add-On Development & Distribution
Spring Roo Add-On Development & DistributionSpring Roo Add-On Development & Distribution
Spring Roo Add-On Development & DistributionStefan Schmidt
 
Grid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and PotentialGrid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and PotentialPaul Brebner
 
Lessons learned while building Omroep.nl
Lessons learned while building Omroep.nlLessons learned while building Omroep.nl
Lessons learned while building Omroep.nlbartzon
 
Lessons learned while building Omroep.nl
Lessons learned while building Omroep.nlLessons learned while building Omroep.nl
Lessons learned while building Omroep.nltieleman
 
DjangoCon 2010 Scaling Disqus
DjangoCon 2010 Scaling DisqusDjangoCon 2010 Scaling Disqus
DjangoCon 2010 Scaling Disquszeeg
 
Laying the Foundation for Ionic Platform Insights on Spark
Laying the Foundation for Ionic Platform Insights on SparkLaying the Foundation for Ionic Platform Insights on Spark
Laying the Foundation for Ionic Platform Insights on SparkIonic Security
 
AvalancheProject2012
AvalancheProject2012AvalancheProject2012
AvalancheProject2012fishetra
 
Operational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU SeminarOperational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU SeminarCanturk Isci
 
Probo.ci Drupal 4 Gov Devops 1/2 day Presentation
Probo.ci Drupal 4 Gov Devops 1/2 day Presentation Probo.ci Drupal 4 Gov Devops 1/2 day Presentation
Probo.ci Drupal 4 Gov Devops 1/2 day Presentation Zivtech, LLC
 
FIWARE Wednesday Webinars - How to Debug IoT Agents
FIWARE Wednesday Webinars - How to Debug IoT AgentsFIWARE Wednesday Webinars - How to Debug IoT Agents
FIWARE Wednesday Webinars - How to Debug IoT AgentsFIWARE
 
AngularJSTO presentation
AngularJSTO presentationAngularJSTO presentation
AngularJSTO presentationAlan Hietala
 
Puppet & Perforce: Versioning Everything for Deployments
Puppet & Perforce: Versioning Everything for DeploymentsPuppet & Perforce: Versioning Everything for Deployments
Puppet & Perforce: Versioning Everything for DeploymentsPerforce
 
Expanding your impact with programmability in the data center
Expanding your impact with programmability in the data centerExpanding your impact with programmability in the data center
Expanding your impact with programmability in the data centerCisco Canada
 
Puppet Camp Tokyo 2014: Keynote
Puppet Camp Tokyo 2014: KeynotePuppet Camp Tokyo 2014: Keynote
Puppet Camp Tokyo 2014: KeynotePuppet
 
New Persistence Features in Spring Roo 1.1
New Persistence Features in Spring Roo 1.1New Persistence Features in Spring Roo 1.1
New Persistence Features in Spring Roo 1.1Stefan Schmidt
 
Ultime Novità di Prodotto Neo4j
Ultime Novità di Prodotto Neo4j Ultime Novità di Prodotto Neo4j
Ultime Novità di Prodotto Neo4j Neo4j
 

Ähnlich wie GraphTour - Workday: Tracking activity with Neo4j (English Version) (20)

Alfresco Business Reporting - Tech Talk Live 20130501
Alfresco Business Reporting - Tech Talk Live 20130501Alfresco Business Reporting - Tech Talk Live 20130501
Alfresco Business Reporting - Tech Talk Live 20130501
 
Code for Startup MVP (Ruby on Rails) Session 1
Code for Startup MVP (Ruby on Rails) Session 1Code for Startup MVP (Ruby on Rails) Session 1
Code for Startup MVP (Ruby on Rails) Session 1
 
Netflix oss season 2 episode 1 - meetup Lightning talks
Netflix oss   season 2 episode 1 - meetup Lightning talksNetflix oss   season 2 episode 1 - meetup Lightning talks
Netflix oss season 2 episode 1 - meetup Lightning talks
 
Docker interview Questions-3.pdf
Docker interview Questions-3.pdfDocker interview Questions-3.pdf
Docker interview Questions-3.pdf
 
Spring Roo Add-On Development & Distribution
Spring Roo Add-On Development & DistributionSpring Roo Add-On Development & Distribution
Spring Roo Add-On Development & Distribution
 
Grid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and PotentialGrid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and Potential
 
Lessons learned while building Omroep.nl
Lessons learned while building Omroep.nlLessons learned while building Omroep.nl
Lessons learned while building Omroep.nl
 
Lessons learned while building Omroep.nl
Lessons learned while building Omroep.nlLessons learned while building Omroep.nl
Lessons learned while building Omroep.nl
 
DjangoCon 2010 Scaling Disqus
DjangoCon 2010 Scaling DisqusDjangoCon 2010 Scaling Disqus
DjangoCon 2010 Scaling Disqus
 
Laying the Foundation for Ionic Platform Insights on Spark
Laying the Foundation for Ionic Platform Insights on SparkLaying the Foundation for Ionic Platform Insights on Spark
Laying the Foundation for Ionic Platform Insights on Spark
 
AvalancheProject2012
AvalancheProject2012AvalancheProject2012
AvalancheProject2012
 
Operational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU SeminarOperational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU Seminar
 
Probo.ci Drupal 4 Gov Devops 1/2 day Presentation
Probo.ci Drupal 4 Gov Devops 1/2 day Presentation Probo.ci Drupal 4 Gov Devops 1/2 day Presentation
Probo.ci Drupal 4 Gov Devops 1/2 day Presentation
 
FIWARE Wednesday Webinars - How to Debug IoT Agents
FIWARE Wednesday Webinars - How to Debug IoT AgentsFIWARE Wednesday Webinars - How to Debug IoT Agents
FIWARE Wednesday Webinars - How to Debug IoT Agents
 
AngularJSTO presentation
AngularJSTO presentationAngularJSTO presentation
AngularJSTO presentation
 
Puppet & Perforce: Versioning Everything for Deployments
Puppet & Perforce: Versioning Everything for DeploymentsPuppet & Perforce: Versioning Everything for Deployments
Puppet & Perforce: Versioning Everything for Deployments
 
Expanding your impact with programmability in the data center
Expanding your impact with programmability in the data centerExpanding your impact with programmability in the data center
Expanding your impact with programmability in the data center
 
Puppet Camp Tokyo 2014: Keynote
Puppet Camp Tokyo 2014: KeynotePuppet Camp Tokyo 2014: Keynote
Puppet Camp Tokyo 2014: Keynote
 
New Persistence Features in Spring Roo 1.1
New Persistence Features in Spring Roo 1.1New Persistence Features in Spring Roo 1.1
New Persistence Features in Spring Roo 1.1
 
Ultime Novità di Prodotto Neo4j
Ultime Novità di Prodotto Neo4j Ultime Novità di Prodotto Neo4j
Ultime Novità di Prodotto Neo4j
 

Mehr von Neo4j

Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansQIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansNeo4j
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityNeo4j
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...Neo4j
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosNeo4j
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Neo4j
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jNeo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Neo4j
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeNeo4j
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsNeo4j
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j
 
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...Neo4j
 

Mehr von Neo4j (20)

Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansQIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered Sustainability
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG time
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge Graphs
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with Graph
 
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
 

Kürzlich hochgeladen

Unveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsUnveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsAhmed Mohamed
 
Folding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a seriesFolding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a seriesPhilip Schwarz
 
SpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at RuntimeSpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at Runtimeandrehoraa
 
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxKnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxTier1 app
 
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样umasea
 
Buds n Tech IT Solutions: Top-Notch Web Services in Noida
Buds n Tech IT Solutions: Top-Notch Web Services in NoidaBuds n Tech IT Solutions: Top-Notch Web Services in Noida
Buds n Tech IT Solutions: Top-Notch Web Services in Noidabntitsolutionsrishis
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...stazi3110
 
What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...Technogeeks
 
Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...
Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...
Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...Matt Ray
 
Intelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalmIntelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalmSujith Sukumaran
 
Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Andreas Granig
 
英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作qr0udbr0
 
CRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. SalesforceCRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. SalesforceBrainSell Technologies
 
Cyber security and its impact on E commerce
Cyber security and its impact on E commerceCyber security and its impact on E commerce
Cyber security and its impact on E commercemanigoyal112
 
How to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationHow to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationBradBedford3
 
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfGOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfAlina Yurenko
 
Implementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with AzureImplementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with AzureDinusha Kumarasiri
 
React Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaReact Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaHanief Utama
 

Kürzlich hochgeladen (20)

Unveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsUnveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML Diagrams
 
Folding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a seriesFolding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a series
 
SpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at RuntimeSpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at Runtime
 
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxKnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
 
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
 
Buds n Tech IT Solutions: Top-Notch Web Services in Noida
Buds n Tech IT Solutions: Top-Notch Web Services in NoidaBuds n Tech IT Solutions: Top-Notch Web Services in Noida
Buds n Tech IT Solutions: Top-Notch Web Services in Noida
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
 
What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...
 
Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...
Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...
Open Source Summit NA 2024: Open Source Cloud Costs - OpenCost's Impact on En...
 
Intelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalmIntelligent Home Wi-Fi Solutions | ThinkPalm
Intelligent Home Wi-Fi Solutions | ThinkPalm
 
Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024
 
英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作
 
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort ServiceHot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
 
CRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. SalesforceCRM Contender Series: HubSpot vs. Salesforce
CRM Contender Series: HubSpot vs. Salesforce
 
2.pdf Ejercicios de programación competitiva
2.pdf Ejercicios de programación competitiva2.pdf Ejercicios de programación competitiva
2.pdf Ejercicios de programación competitiva
 
Cyber security and its impact on E commerce
Cyber security and its impact on E commerceCyber security and its impact on E commerce
Cyber security and its impact on E commerce
 
How to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationHow to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion Application
 
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfGOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
 
Implementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with AzureImplementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with Azure
 
React Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaReact Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief Utama
 

GraphTour - Workday: Tracking activity with Neo4j (English Version)

  • 2. • Build Engineer (Build Engineering Team) • Located in Paris, France • Responsibilities ‒ Development of reusable Gradle plugins ‒ Administration of Artifactory ‒ Development of custom tools ‒ Support to engineering teams (mainly build-related) ‒ Sentinel (Server to track activity) Who Am I ? Workday Confidential
  • 4. • Define policies for engineering teams (dependency locking, artifact promotion, artifact metadata) • Provide reusable tooling (Gradle plugins & other custom tools) • Administer shared services (Artifactory) • Provide assistance to engineering teams Build Engineering – Our mission Workday Confidential
  • 5. • To ensure policies are followed • Engineers enjoy a lot of freedom at Workday ! ‒ Netflix: The Paved Road • Is our tooling relevant ? • Gain insight into how development teams are working  We need answers to those questions ! Why We Need Monitoring Workday Confidential
  • 6. • Artifacts (Jars, Rpms, “Deliveries”, etc) • CI Builds (in Bamboo, Team City and Jenkins) • SCM changes (in BitBucket, GitHub, Gerritt, etc) • Dependencies (between Artifacts, Builds, etc) • JIRA issues (tracking of code) • Promotions (of artifacts) • Metadata in general We’re interested in … Workday Confidential
  • 7. • No unified system of records with all this information ! • The data is scattered across different systems (AF, CI, JIRA…) • … is secured with different credentials (AD, LDAP) • … is stored under different formats (JSON, XML, CSV, etc) • … is not always easily accessible • Accessing one data source is (usually) easy • Accessing two data sources is already a bit trickier • No unified query language for joining the aggregated data Problem: The Data is Everywhere Workday Confidential
  • 9. • Simple access to the information • Unified and intuitive data model • Powerful query language • Data as accurate as possible  Frequent updates to the data  Updates must be fast (performance) • Ability to easily refactor the data model • Ability to expose this information to engineering teams (automation) Requirements Workday Confidential
  • 10. • We don’t want to rely on users to provide the information (unless we have no other choice) ! • The information we need usually already exists or can be derived, let’s use it ! But first of all ! Workday Confidential
  • 12. Architecture Overview Workday Confidential REST API Web UI Data Miner … JIRA Artifactory Bamboo BitBucket Data SourcesA foundation to solve current and future problems Neo4j Aggregation Sanitization Normalization
  • 13. • Command line tool (written in Groovy) • Executable fat jar • Runs from Bamboo every 15 mins • Scans the data sources containing the information we need • Preemptively extracts, sanitizes & normalizes the data • Detects incremental changes (optimized for performance) • Crash-proof • A run executes 59 commands in sequence • Scan time: 8 mins (min), 23 mins (average) The Data Miner Workday Confidential
  • 14. • A (NoSQL) graph database • Graph paradigm is good for our need • Very flexible and easy to use • Schema-less • Excellent performance • All the useful data in one place • Cypher (Query Language) ! The Neo4j Database Workday Confidential
  • 15. • UI made of HTML dashboards & dynamic charts • REST API • Spring Boot, Thymeleaf, D3.js, Swagger The Services We Expose Workday Confidential
  • 16. Neo4j in a Nutshell
  • 17. • Nodes have properties (Comparable to a Map<String, ?>) • … can have 0-N labels (Typing, Polymorphism) Neo4j - Nodes Workday Confidential core 1.0.5 jar Artifact ArtifactoryFile Workday id com.workday:core group com.workday artifact core version 1.0.5 created 1458713182201
  • 18. • Relationships represent an edge between 2 nodes • … have a name • … can be directed • … can have properties Neo4j - Relationships Workday Confidential Artifact core 1.0.5 jar Git Commit core 5ce1f767 HAS_COMMIT
  • 19. Neo4j query language A node () A labeled node (:Person) A relationship between 2 nodes ()--() A directed labeled relationship ()-[:PARENT_OF]->() MATCH (parent:Person)-[:PARENT_OF]->(child:Person) RETURN parent.name, COLLECT(child.name) Neo4j - Cypher Workday Confidential
  • 21. Everything Starts with Artifactory Workday Confidential • Official repository of Artifacts, Rpms, Docker images • REST API to detect new artifacts in repositories
  • 22. Step 1: Artifacts Workday Confidential • URI: com/workday/core/1.0.5/core-1.0.5-javadoc.jar  Group com.workday  Module core  Version 1.0.5  Type jar  Classifier javadoc  ID: “com.workday:core:1.0.5:javadoc@jar” Artifact core 1.0.5 jar javadoc
  • 23. Step 2: Module Versions Workday Confidential • The artifact relates to a “Module Version”  Group com.workday  Module core  Version 1.0.5  ID: “com.workday:core:1.0.5” ModuleVersion core 1.0.5
  • 24. Step 3: Modules Workday Confidential • The module version relates to a “Module”  Group com.workday  Module core  ID: “com.workday:core” Module core
  • 25. All Together With Relationships Workday Confidential Module coreArtifact jar Artifact javadoc jar Artifact sources jar ARTIFACT_OF Artifact jar Artifact javadoc jar Artifact sources jar ARTIFACT_OF Version 1.0.5 Version 1.0.7 VERSION_OF VERSION_OF Version 1.0.6
  • 26. Step 4: Artifact Dependencies Workday Confidential • Maven / Ivy descriptors  Dependencies • Dependencies  DEPENDS_ON relationships services 2.0.0 DEPENDS_ON gson 2.2.2 core 1.0.5 DEPENDS_ON
  • 27. Step 5: Artifact Metadata Workday Confidential • Populated at build time (by a custom Gradle plugin) • Captures information about ‒ Gradle, JDK, Build machine ‒ CI builds ‒ SCM changes • Makes artifacts “self-documented”
  • 28. Manifest Metadata – SCM Info Workday Confidential • WD-Git-Origin ssh://git@bitbucket.acme.com/core/core.git • WD-Git-Commit e28a60b96f452680c57cb76798def09fd171011f Artifact core 1.0.5 jar Git Commit core e28a60… HAS_COMMIT
  • 30. List of all Workday Artifacts Workday Confidential Group Module Latest Version Age (days) SCM url SCM change Build URL Latest JIRAs com.workday core 1.0.5 120.2 core.git e28a60b9 URL CORE-120 com.workday foo-services 1.3.0 29.1 foo-services.git 146ae135 URL FOO-57 com.workday bar-services 2.2.8 54.8 bar-services.git b538c156 URL BAR-70 … … … … … … … … Public dashboard accessible with latest information (automatically up-to-date) → Where’s the build of this jar file ? → Where are the sources for this jar file ?
  • 31. Identifying Direct Dependents Workday Confidential MATCH (dependent:ModuleVersion)-[:DEPENDS_ON]->(dependency:ModuleVersion) WHERE dependency.id = "com.workday:core:1.0.5” RETURN dependent.id AS dependent  Service in the Sentinel REST API Dependent com.workday:foo- services:1.3.0 com.workday:foo- services:1.2.5 com.workday:bar- services:2.2.8 com.workday:bar- services:2.2.7 …
  • 32. Build Orchestration Workday Confidential Producing build Consuming build Bamboo Build CORE BUILT Artifact core 1.0.5 jar ModuleVersion core 1.0.5 ARTIFACT_OF ModuleVersion foo-services 1.3.0 ARTIFACT_OF Bamboo Build FOO-SERVICES Artifact foo-services 1.3.0 jar BUILT DEPENDS_ON DEPENDS_ON
  • 33. Automated Release Notes Workday Confidential Version 1 Version 2 Bamboo Build CORE #11 BUILT Artifact core v1 jar Git Commit core 5ce1f767 HAS_REVISION Git Commit core ee2a0e22 HAS_REVISION Bamboo Build CORE #12 Artifact core v2 Jar BUILT PARENT_REVISION JIRA Issue CORE-120 LINKS_TO
  • 34. Identify SCM Changes per JIRA Workday Confidential Find all mentions of a JIRA in commit messages Input: JIRA issue Output: Set of SCM changes JIRA Issue CORE-120 Git Commit core 5ce1f767 Git Commit core 5954ff88 Git Commit core ee2a0e22
  • 35. Rule: “No dynamic dependencies in Maven / Ivy files” Rationale: Builds must be reproducible Dynamic versions: 1.+, LATEST, [1.0, 2.0[ Detection of Rule Violations Workday Confidential HTML dashboard listing the latest violations ModuleVersion baz 4.2.10 ModuleVersion pmd-checks 1.+ DEPENDS_ON
  • 36. Conclusion Workday Confidential • Service rolled out internally • Neo4j is the perfect tool for capturing the data we’re interested in ‒ Very easy to refactor / enrich the data • Cypher gives us insight from the aggregated data • Solid foundation for future services ‒ Difficult part: Capturing the data ‒ Easy part: Leveraging the data by creating new queries • Decisions based on facts, not (educated) guesses • Holistic reporting
  • 37. Q & A Thanks for attending Workday Confidential
  • 38. TM