Neo4j @ elisa, Teemu Nykänen, Elisa
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Neo4j @ elisa, Teemu Nykänen, Elisa
- 2. • What Elisa does and why should you care • Network automation (zero touch included, no added sugar) • Beauty benefits of graph databases • Your guide today: • Teemu Nykänen, Service Architect (teemu.nykanen@elisa.fi) Introduction
- 3. First in Finland and in the world 1882: 1929: 1936: 1950: 1991: 1993: 2007: 2010: 2011: 2015: 2019: Daniel Wadén brings the telephone to Finland. The telephone network in Helsinki is automated. The speaking clock service is introduced. The Helsinki Telephone Association builds a telephone network with four switchboards for the Olympic Games. A GSM telephone call is made over the Radiolinja network. A GSM data call takes place over the Radiolinja network. Thanks to the commercial UMTS900 network, the 3G network can be built quickly all over Finland. The 4G network taken into pre- commercial use. The Elisa Viihde service combines a modern TV service and the ability to watch recordings using a tablet. Elisa Internet of Things (IoT) service package launched in Finland and Estonia Commercial 5G
- 4. Elisa key figures 2.8 million customers, Finland and Estonia 25.4 (21.1) customer satisfaction (NPS) 2018 Approx. 185,000 shareholders 4,800 (4,700) Elisa employees #1 Finland, #2 Estonia market position €1.83 billion (1.79) revenue 2018 €1.95 (1.86) comparable earnings per share (EPS) 2018 €254 million (240) capital expenditure investments 2018 4.66 million (4.68) mobile subscriptions, Finland and Estonia 2018 696,500 (692,300) fixed broadband subscriptions 2018
- 5. Leading market position in Finland Mobile subscriptions Fixed network subscriptions Elisa 40% Telia 32% DNA 28% Elisa 35% Telia 29% ~20 Finnet companies 8% Others 2% DNA 26% Source: FICORA Source: Company reports Q3/2018 Post-paid market shares: Elisa 40%, Telia 34% and DNA 26%
- 6. Digital services for international markets Innovative managed services and solution provider for large enterpise video conferencing Providing automation solutions to telcos for zero-touch network processes Solution for manufacturers to enable better decisions, reduce downtime and improve quality
- 7. The best network, the best customer experience • We offer fast broadband connections implemented using the best possible technologies • Elisa’s 4G network covers 99.8% of Finland’s population • Connections up to 1 Gbit/s are available to more and more households • We are the first in world to build a 5G network, and soon we will offer 5G services to all Finns • We focus on quality and on continuously improving our customers’ user experience • We prevent disturbances with the help of automation
- 8. We have a cunning plan
- 9. • SDN with Elisa twist Elisa Software-defined Networking • ”Facilitates network management and enables programmatically efficient network configuration in order to improve network performance and monitoring” • Not just for fancy things but also for devices Hybrid networks Codename EDN
- 10. • Enables automation for network. From CLI towards Intent Driven network • Service activation/provisioning • ”Zero touch” functionality • Telemetry collection • Network optimization (closed loop with telemetry data and machine learning applied ) • Multivendor (and protocol) capable. (take the power back) • Multiple domains. IP/MPLS currently under construction • Building things for our own needs but also planning to make parts of it commercially available • Available from your local dealer at later in time and space • Situational awareness required Codename EDN
- 11. • Nothing to see here. Just some: • Nodes • Edges • Vertices • Connections • Required for true automation • Essential piece in the EDN puzzle • Graph database fits like a glove Network topology view (in real-time please)
- 12. • It’s alive! We’re in production with few services released. • Causal cluster filled with nodes and connections • One microservice to kill rule em’ all • Several data streams • Element managers • Network discovery • Telemetry events • Once more, automation. • Most of the graph is not exposed via UI • Sharing data for analytics, anomaly detection etc. State of a nation
- 13. Supermodels
- 14. • Around 1.3 million nodes and 1.9 million connections • To date, we have modelled: • Physical layer (which can also be virtual) • Part of the logical layer (portion of the services of IP/MPLS network) • To be continued… So far so good
- 15. • Other good graph databases in the market • We even have in-house experience of some of them • Querying and the power of Cypher • Not just a graph but native labelled property graph. • Maturity • In-house deployment Why neo4j?
- 16. • Elisa is awesome • Finns are using loads of data. Also beware of angry 5G. • Train it with automation instead of tight leash. • We sell things • Blackadder episode 3 from season 2 is brilliant • SDN is nice EDN is nicer • Cooler than being cool is ice cold. • Did I already mention automation? • Know your enemy network! Store it into graph, you won’t regret it. • Make nodes not tables Summary
- 17. Thank you! Follow our journey on Facebook (@elisasuomi) and Twitter (@ElisaOyj)
Editor's Notes
- A brief introduction to the wonderful world of use case Elisa. We shall go through what Elisa is, does and why we dream about network automation. We’ll cover network automation and why graph database works nicely in that context. My name is Teemu Nykänen. I’m service architect at Elisa. A software guy drifting in a sea of network automation.
- Elisa’s more-than-36-year journey is characterised by making new discoveries and challenging prevailing practices. At different stages, Elisa has been a pioneer in almost every aspect of telecommunications technology. In this timeline you can notice at least two interesting things. First one is the automation, which has been important to us since early 19th century and another one is the ever so trendy 5G.
- Some key indicators from 2017 The market leader in Finland and number 2 in Estonia.
- Top in a highly competitive market. We would like to stay there.
- In addition to being “just” operator and offering wide spectrum of services to customers and corporations in Finland and Estonia. We’re also active in other areas. We provide new digital services for international markets. For example, services related to visual communication, entertainment services and cloud-based IT services are part of our portfolio. Our international services are strongly based on our own capabilities and our core business, as well as on carefully selected acquisitions. The interesting part in this context is the Elisa Automate, which offers network automation services to other operators.
- As a pioneer in mobile communications, we invest nearly EUR 200 million in our data networks and systems every year. As the market leader, we are also a pioneer in new network technologies and innovations, such as 5G. We want to be the first to provide new services, the fastest connections, and the most comprehensive coverage to our customers. Finland Is the Mobile Data Capital of the World, which means that Finns use most mobile data per subscription. Usage is still rapidly growing. This requires automation.
- The Black adder. Cunning plans are always the best ones.
- SDN enables network automation. Software Defined Networks separate data plane from control plane and add application plane. OpenSource and commercial SDN tools available World is not black and white. Hybrid networks are here to stay.
- SDN enables automation but without that automation it isn’t very usefull. Intent driven you don’t need to know what to do, you just need to know what the end-result should be. “Zero touch” Plug-and-play for core network. Multivendor We will continue to work with traditional and upcoming vendors but want to keep the control in our hands. The balance needs to be right. Great chunk of this will be commercially available. After it’s combat proven in our network. Automation is nearly impossible, or at least very hard without situational awareness. Which means knowing what’s in the network and in which state.
- Graph datamodel is a natural fit for network topology data.
- We're in production. We have couple of zero-touch related services available and backlog full of new features waiting to be implemented We have a neo4j cluster and a microservices architecture for data management. Our target is not to expose the graph via graphical user interface the but use it for automation. Data offers almost endless possibilities for our network management and beyond that.
- The actual models, as they represent our network quite accurately, are classified Different layers of OSI model modelled in the graph. This allows us to create traversals for example from the port of the card to the service which might be ultimately connected to paying customer.
- Around 1.3 million nodes but we’re only getting started. There’s still loads of work to do and nodes to be stored.
- Graph data model is awesome and suits the needs of network topology perfectly. But it would be useless without good tool for querying that data andCypher is just that. It's very expressive query language and together with extension libraries it offers pretty much everything what we need in a nice package. The data is pretty sensitive and since we an operator we have things like private data centres and private cloud.
- This kind of development offers endless possibilities in many fronts, including machine learning and anomaly detection. And so far we're just scratching the surface. This is a cool domain to work with.