storytelling and call-to-action • Grow the value of the customer • Suggest the most suitable products and services • Accelerate on-boarding and increase conversions • Generate recurring revenues, evolving loyalty into membership • Send personalized notifications • Delight the customer with gamification • Make digital experiences come alive in extended reality • Nudge advocacy 01 Listen to customers across channels 02 Deliver relevant experiences at scale 03 Transform prospects into customers for life Neosperience Cloud allows to create personalized, relevant experiences that strengthen the relationship with the customer across touchpoints: web, app, platforms, point of sale The first digital experience platform to establish empathic relationships with customers that takes into account their uniqueness. A set of application modules condensing multi-disciplinary skills: data scientists, designers, software architects, cognitive, behavioral and social psychologists, to unleash your brand’s potential. Understand Engage Grow Neosperience Cloud
requirements • Deep Learning models • Integrating with 3rd party products • Different data types to persist • Need for speed and scalability • Team communication has a lot of friction: IT operation and dev teams
monolith • Multi-region deploy of SpringMVC / Java on Apache Tomcat / JBoss • Shared RDS database managed by Hibernate • Autoscaling group for EC2 instances, Elastic IP Pros ✓ Everything within a single package ✓ Simple CI workflow ✓ Easy services coordination Cons - Lifecycle: one change in code requires a full release of Neosperience - Scalability / Costs: planning autoscale for different usages is not easy - Everything is a REST endpoint
Spring Boot/Cloud on Java Stack • Docker image for each service within NGINX • DynamoDB used as façade towards clients • RDS managed through Spring Data • Coordination service (Module Manager) Pros ✓ Smaller services, same technology for everything ✓ Immutable deployments: from CI to Docker registry ✓ Easy services coordination Cons - Still paying for idle (database, instances) - Manual provisioning of resources (through Beanstalk) - Everything is a REST endpoint
Nudging & Gamification Image Personalised Commerce Personalised Advertising Customer Base Channels Customer Generations Search Customer CI / CD • Move to cloud native adoption • Script cloud resources • Each service has its own persistence • Migrate data models Neosperience Cloud
Triggers to Lambda functions • Each service defines its own persistence • Communication is handled through Kinesis • Immutable deployments Pros ✓ Many small packages ✓ Extremely fast release cycles (smaller changes) ✓ No servers to manage (woot-woot) ✓ Scalability at its best / Cost reduction ✓ There is no difference between dev/stage/ production Cons - Required a shift in team perspective towards software development (there is no one size fits all architecture) - Expensive when utilization close to 100% - No support for dedicated hardware
Serverless and microservices. The questions we faced How micro is a microservice? Decompose your system into domain specific computing units using Domain Driven Development (DDD) Do we want to reinvent the wheel? AWS provides a variety of managed services that can ease out software development, reducing time to market of orders of magnitude. Every time we had to implement a new functionality we asked ourselves whether there was an AWS service for that. How to deal with the outside world? Neosperience is a B2B2C ISV vendor. Our product can be used SaaS by companies or integrated through API. We need to rely on web standards REST and OAuth2 How about vendor lock-in? Serverless does not lock you in. Data does. But it’s the same with languages, tools or frameworks.
with a number of benefits Neosperience is a 100% Serverless cloud solution Business Domain Support ✓17 different business domains ✓5-10 microservices each domain ✓a dozen of support services (monitoring, maintenance, OAuth2, Organization, multi-tenancy, etc.) Serverless ✓100% Serverless except for ML model training Lambda Functions ✓200+ functions AWS Resources ✓400+ AWS resources ✓managed through a 15+ CloudFormation stacks Time to market ✓improved from months to weeks ✓business features released every sprint ✓technical features released multiple times a week Costs ✓reduced by an order of magnitude Team ✓developers provision cloud resources ✓innovation in encouraged, failure impact is bounded ✓shifted from running after business requirements to waiting for business requirements Happiness Dev Team has full control on delivery Business Team has feature delivery