GraphDay Stockholm - Telia Zone

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The document discusses how Telia scaled its Neo4j graph database to support millions of homes using Kubernetes. It describes the zone API architecture built on Kubernetes, including microservices for the zone API, TheZone agent, API management, and databases like Neo4j, Redis, and Cloud SQL. It also discusses how Kubernetes features like namespaces, auto-scaling, node selectors, and stateful sets were used to scale the Neo4j graph database using causal clustering to support millions of users and billions of requests per day.

Technology

TELIA ZONE 
SCALING NEO4J TO MILLIONS OF
HOMES WITH KUBERNETES
@rickdamm – @larsericsson

API FEATURES
Get events for
user entering or
leaving a zone
Identify devices
as clients
Get clients in
a zone
Check if IP is
a zone

KUBERNETES
API ARCHITECTURE
ZONEAPI
NODEJS
3RD PARTY
Backend
THEZONE
Agent
API MGMT
PROXY
GCLOUD
CLOUD SQL
GCLOUD
BIGQUERY
GCLOUD
STACKDRIVER
NEO4J
GRAPHDB
REDIS
CACHE

THEZONE
Agent
THEZONE
Agent
THEZONE
Agent
THEZONE
Agent
SCALING TO MILLIONS
THEZONE
Agent
~10 REQUESTS/DAY
~11 DEVICES/AGENT
~110 REQUESTS/DAY~143 MILLION REQUESTS/DAY
~1.3 MILLION AGENTS

KUBERNETES
KUBERNETES
NAMESPACES
DEV PROD

KUBERNETES
KUBERNETES
AUTO SCALING
DEV PROD
ZONEAPI
NODEJS

KUBERNETES
KUBERNETES
NODE SELECTORS
DEV PROD
HIGHMEM
NEO4J
GRAPHDB

KUBERNETES
KUBERNETES
STATEFUL SETS
DEV PROD
NEO4J (01)
GRAPHDB
NEO4J (02)
GRAPHDB

NEO4J
Already a graph Causal clustering Ever-changing data model
NEO4J
CORE
NEO4J
REPLICA
NEO4J
REPLICA

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Romain CAMPOURCY – Architecte Solution, Sopra Steria Patrick MEYER – Architecte IA Groupe, Sopra Steria La Génération de Récupération Augmentée (RAG) permet la réponse à des questions d’utilisateur sur un domaine métier à l’aide de grands modèles de langage. Cette technique fonctionne correctement lorsque la documentation est simple mais trouve des limitations dès que les sources sont complexes. Au travers d’un projet que nous avons réalisé, nous vous présenterons l’approche GraphRAG, une nouvelle approche qui utilise une base Neo4j générée pour améliorer la compréhension des documents et la synthèse d’informations. Cette méthode surpasse l’approche RAG en fournissant des réponses plus holistiques et précises.

ADEO - Knowledge Graph pour le e-commerce, entre challenges et opportunités ...

Neo4j

Charles Gouwy, Business Product Leader, Adeo Services (Groupe Leroy Merlin) Alors que leur Knowledge Graph est déjà intégré sur l’ensemble des expériences d’achat de leur plateforme e-commerce depuis plus de 3 ans, nous verrons quelles sont les nouvelles opportunités et challenges qui s’ouvrent encore à eux grâce à leur utilisation d’une base de donnée de graphes et l’émergence de l’IA.

GraphSummit Paris - The art of the possible with Graph Technology

Neo4j

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

Neo4j

Dr. Sean Tan, Head of Data Science, Changi Airport Group Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.

GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...

Neo4j

Leonard Jayamohan, Partner & Generative AI Lead, Deloitte This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

Neo4j

GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024

Neo4j

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

Neo4j

Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.

GraphAware - Transforming policing with graph-based intelligence analysis

Neo4j

Petr Matuska, Sales & Sales Engineering Lead, GraphAware Western Australia Police Force’s adoption of Neo4j and the GraphAware Hume graph analytics platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph. The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement’s ability to leverage growing volumes of valuable data to prevent crime and protect communities.

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

Neo4j

KLARNA - Language Models and Knowledge Graphs: A Systems Approach

Neo4j

INGKA DIGITAL: Linked Metadata by Design

Neo4j

Your enemies use GenAI too - staying ahead of fraud with Neo4j

Neo4j

Delivered by Michael Down at Gartner Data & Analytics Summit London 2024 - Your enemies use GenAI too: Staying ahead of fraud with Neo4j. Fraudsters exploit the latest technologies like generative AI to stay undetected. Static applications can’t adapt quickly enough. Learn why you should build flexible fraud detection apps on Neo4j’s native graph database combined with advanced data science algorithms. Uncover complex fraud patterns in real-time and shut down schemes before they cause damage.

BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptx

Neo4j

Delivered by Sreenath Gopalakrishna, Director of Software Engineering at BT, and Dr Jim Webber, Chief Scientist at Neo4j, at Gartner Data & Analytics Summit London 2024 this presentation examines how knowledge graphs and GenAI combine in real-world solutions. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Future innovation plans include the exploration of uses of EKG + Generative AI.

Workshop: Enabling GenAI Breakthroughs with Knowledge Graphs - GraphSummit Milan

Neo4j

Workshop - Architecting Innovative Graph Applications- GraphSummit Milan

Neo4j

Workshop 1. Architecting Innovative Graph Applications Join this hands-on workshop for beginners led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.

LARUS - Galileo.XAI e Gen-AI: la nuova prospettiva di LARUS per il futuro del...

Neo4j

Roberto Sannino, Larus Business Automation Nel panorama sempre più complesso dei progetti basati su grafi, LARUS ha consolidato una solida esperienza pluriennale, costruendo un rapporto di fiducia e collaborazione con Neo4j. Attraverso il LARUS Labs, ha sviluppato componenti e connettori che arricchiscono l’ecosistema Neo4j, contribuendo alla sua continua evoluzione. Tutto questo know-how è stato incanalato nell’innovativa soluzione Galileo.XAI di LARUS, un prodotto all’avanguardia che, integrato con la Generative AI, offre una nuova prospettiva nel mondo dell’Intelligenza Artificiale Spiegabile applicata ai grafi. In questo speech, si esplorerà il percorso di crescita di LARUS in questo settore, mettendo in luce le potenzialità della soluzione Galileo.XAI nel guidare l’innovazione e la trasformazione digitale.

GraphSummit Milan - Visione e roadmap del prodotto Neo4j

Neo4j

GraphSummit Milan & Stockholm - Neo4j: The Art of the Possible with Graph

Neo4j

Dr Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.

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