Network and IT Ops Series: Build Production Solutions
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The document discusses the advantages of Neo4j, the leading native graph database, in enhancing network and IT operations through its ability to leverage data connections in real-time. It highlights use cases across various industries, including retail and finance, and outlines Neo4j's benefits in improving operational efficiency and decision-making. Key topics include the performance, stability, scalability, and integration capabilities of Neo4j, along with customer testimonials and adoption metrics.
Network and IT Ops Series: Build Production Solutions
- 1. The Future of Network & IT Operations Products with Neo4j
- 2. Why is This Important?
- 3. Connections in Data Ability to Leverage Connections
- 4. Connections in Data Ability to Leverage Connections Function of Time Choice of Technology
- 8. Case Study: The Consumer Web C 34,3%B 38,4%A 3,3% D 3,8% 1,8% 1,8% 1,8% 1,8% 1,8% E 8,1% F 3,9%
- 9. Jeff Morris Head of Product Marketing @ Neo4j
- 10. Product Manager Engineer Time-to-market: How fast can we embed Neo4j in our software? How is Neo4j’s stability & performance? Will embedding Neo4j add several X more value? What is Neo4j’s track record? Who are the reference customers? Can we trust Neo4j with a long term partnership? Does Neo4j give us capabilities to solve “new” problems? How easy is Neo4j to maintain & upgrade? How does integrations, API’s, and reference architecture look? Is the support and training sufficient to fit our needs? How does clustering & scalability work in Neo4j? How easy is it to get started with Cypher Query Language? How is the backwards compatibility in Neo4j?
- 11. Intro to
- 12. Neo4j is the World’s Leading Native Graph Database.
- 13. Neo4j is the World’s Leading Native Graph Database. We provide a technology that gives any organization the ability to leverage connections in data
- 14. Neo4j is the World’s Leading Native Graph Database. We provide a technology that gives any organization the ability to leverage connections in data — in real-time.
- 15. Unlike other database models, Neo4j connects data as it stores it
- 16. Unlike other database models, Neo4j connects data as it stores it
- 17. Unlike other database models, Neo4j connects data as it stores it
- 18. Index-free adjacency ensures lighting-fast retrieval of data and relationships
- 19. End users Visualization Tools Analysts Data- Scientists Powering Applications at Internet Scale in Real- Time Powering Analytics & Business Intelligence Transaction Data
- 20. Difference with other Prominent Database Technologies
- 21. Good for discrete problems Insufficient for connected problems RDBMS
- 22. Data lake Good for Analytics, BI, Map Reduce No holistic view, Slow Queries RDBMS
- 23. How Neo4j Fits
- 26. RELATIONAL DB DOCUMENT STORE WIDE COLUMN STORE DOCUMENT STORE RELATIONAL DB KEY VALUE STORE Data Stored in Disparate Silos
- 27. Neo4j Adoption
- 28. “Forrester estimates that over 25% of enterprises will be using graph databases by 2017.” Forrester Research, 2014
- 29. >50%of the Global 2000 are Using or Piloting Neo4j! As of today
- 30. Adoption Highlights Retail 7 out of top 10 retailers in the world Finance 12 out of 25 top financial services firms 8 out of top 10 software vendors Software (As per 2017)
- 31. Real-Time Recommendations Fraud Detection Network & IT Operations Master Data Management Graph-Based Search Identity & Access Management Common Graph DB Use Cases
- 32. The Future of Network & IT Operations Products with Neo4j
- 34. Mesh Router Gateway Router Router Router Mesh Router Router Router Mesh Router Gateway Access Point CPU CPU CPU CPU Mobile Mobile Mobile Mobile Base Station CPU CPU CPU CPU Access Point
- 35. Complexity of Providing Network Services
- 36. Services (e.g. route a call, play a movie) Operational Tasks (e.g. upgrades, reconciliation) Key Systems (e.g. Oracle, SAP) Assets (e.g. routers, servers) Cross Domain Dependencies Complexity of Providing Network Services
- 37. Complexity of Providing Network Services Common Scenarios • Vulnerability and impact analysis • Asset management and technical debt analysis • Dynamic SDN configuration and mgmt. • Dynamic load and route mgmt. • Multi-channel contact routing and mgmt. • Contact center mgmt. Services (e.g. route a call, play a movie) Operational Tasks (e.g. upgrades, reconciliation) Key Systems (e.g. Oracle, SAP) Assets (e.g. routers, servers) Cross Domain Dependencies
- 38. ? ? ? ? ? ? Lack of Visibility • Time consuming to discover and map cascading dependencies • Difficult to correlate cross domain impact • Inconsistent to poor customer experience
- 39. Cluster ServerDatabase Database Router Router Switch SwitchSwitch Graph Model Naturally Captures Relations Use a Network-Natural Approach Router • Impact & root cause is readily apparent across network • Correlations are intuitive • Customer experience can be modeled ? ? ? ? ? ? Lack of Visibility • Time consuming to discover and map cascading dependencies • Difficult to correlate cross domain impact • Inconsistent to poor customer experience
- 40. Ryan Boyd Developer Relations @ Neo4j Neo4j DEMO
- 41. A Real-World Telecom Scenario
- 42. Dynamic Call Routing Routing Engine Switch < 100 Milliseconds Thousands of calls per second Least Cost Routing Capacity Routing Feature Routing Dynamic Balancing for each call
- 43. Routing Engine Locations & roaming Ported numbers Special requests Cost of transport Alt. Carrier agreements Tariffs or fees Time of day Priority Traffic Special services: Ringback Simultaneous ringing Inbound call rate Load allowances Quality indicators Risk metrics Least Cost Routing Capacity Routing Feature Routing <100 Milliseconds
- 44. Drastically Reduce Time to Routing Recommendation Alternate Carrier$ Tariffs / Fees $ Transport Priority Traffic Special Services Risk Call Rates Load Allowances Quality Indicators • Offer your customers more intelligent routing with time for more variables • Lower CAPEX requirements • Potential to reduce latency with smaller routing solutions nearer to switches Time of Day Routing Engine
- 45. Neo4j Opens the Door for New Opportunities Add Historical Traffic PatternsLeast Cost Routing Capacity Routing Feature Routing Add Call Detail Records • Offer what-if analysis • Assist customers with predictive modeling • Look for opportunities for contract negotiation
- 46. Query for Call Routing Router Switch Caller Switch Router Switch Caller Router Router Router Switch Router Router
- 47. Router Switch Router Switch Caller Router Switch Router Router Query for Call Routing cost: $.0014 features: hasRingBack cost: $.0012 features: hasRingBack cost: $.0018 features: hasCustomTones packetLoss: 0.002 cost: $.0018 features: hasVideo cost: $.0018 features: isVoip
- 48. Query for Call Routing Router Switch Router Switch Caller Router Switch Router Router cost: $.0014 features: hasRingBack cost: $.0012 features: hasRingBack cost: $.0018 features: hasCustomTones packetLoss: 0.002 cost: $.0018 features: hasVideo cost: $.0018 features: isVoip MATCH (from:Switch{id:’A’}), (to:Switch{id:’Z’}) CALL apoc.algo.dijkstra( from, to, ‘ROUTE’, {hasRingBack: true, capacityRemaining > 0.05, packetLoss < 0.0003}, ‘cost’) yield path as path, weight as weight RETURN path, weight
- 49. Query for Call Routing Router Switch Caller Switch Router Switch Caller Router Router Router Switch Router Router
- 50. Building Customer Products with Neo4j
- 51. Your Engines & Algorithms Customer Facing Apps Native Graph Databases Customer Data Sources Product Models with Neo4j Inside Real-Time Capabilities Next Gen. CMDB Snapshots: Modeling & Predictive VisualizationImpact Analysis Recommendations Metering Decisioning Variance Analysis Rules Engine Complex Event Procedures APIs & Drivers Data Ingest CMDB Assets Data Network Monitoring Data Application Monitoring Data Bus. Process Monitoring Data
- 52. • Network traffic mgmt. • Dynamic configuration mgmt. • What-if analysis & predictive modeling • Entitlement mgmt. • Customer experience mgmt. • Billing mgmt. • SLA monitoring • Trouble ticket mgmt. • Fault and event mgmt. • Performance mgmt. • QoS mgmt. • Risk mgmt. • Cost analysis and mgmt. • Planned vs actual analysis Network & IT Ops Customer Use Cases To name a few…
- 53. Differentiate Your Solutions Uncover hidden patterns and knowledge New Market Opportunities Integrate silos and make sense of complex networks Enhance Products Add, remove or make changes with no downtime Quickly Iterate From minutes to milliseconds Performance At Scale
- 54. All data elements and relations in a native graph database Streamline Execution Get To Market Faster Data models represent real-world business Prototype Faster Often in less than one week Rapid PoC Support, active community and thriving APOC Expertise at Scale
- 55. 8 of the top 10 software vendors Software 3 of the 5 largest telecom hardware vendors Telecom Industry Proven
- 56. Top solution providers embed Neo4j “We tried doing our work with RDBMS, but found that the queries were just going too slowly.” — Peter Walker, Cisco “Neo4j ’s flexibility with data connections allows customers to import all of their connected data, see the richness in the data relationships, understand different patterns and get insights from their data.” – Chuck Kane, Director of Global Solutions Pitney Bowes
- 57. Ecosystem Matters Flexible OEM pricing models Dedicated OEM support Years of Experience working with partners and OEM
- 58. Let’s Do Great Things Together neo4j.com/partners/oem-partner/ oempartners@neo4j.com neo4j.com/partners/ partners@neo4j.com
- 59. Thanks!