Voxxed Days Microservices 2018
| title | author | length |
|---|---|---|
| first speakers announced | Bridget Kromhout | 01m |
Announces the first set of confirmed speakers for Voxxed Days Microservices Paris, taking place 29–31 October 2018 and structured with 40 talks in two parallel… | ||
| Welcome to | Antonio Goncalves | 16m |
A microservices conference opens with logistics and concrete program details: 44 talks, 48 speakers across two rooms, three keynotes and an evening panel at… | ||
| Distant Past of Microservices | Ken Finnigan | 24m |
Argues that microservices are rebranded distributed systems dating back to the 1960s, tracing concrete artifacts like Netflix OSS (Ribbon, Hystrix) and Spring… | ||
| Distributed of systems and teams | Bridget Kromhout | 27m |
Argues that teams must be engineered for consistency, availability and fault tolerance just like distributed systems and that complexity is conserved not… | ||
| Microservices in the future | Susanne Kaiser | 20m |
Claims that a 4-year DORA study links software delivery performance to profitability, productivity and market share, and that moving undifferentiated… | ||
| Hexagonal at Scale, with DDD and microservices! | Cyrille Martraire | 46m |
Claims that bounded contexts are the practical tool to define service boundaries that avoid runtime and deployment disasters and that the Hexagonal… | ||
| Monolith 2 MicroServices Houston we've got a problem | Mike Francois | 14m |
Companies fail when they treat microservices as a flip-the-switch project; claim is that success requires an atomic evolutionary steps plan: assessment, API… | ||
| Stop reinventing the wheel with Istio | Mete Atamel | 46m |
Installs via kubectl apply on a Kubernetes cluster (needs >=1.8, the demo uses ~4 VMs) and deploys Envoy sidecars so every pod gets a sidecar proxy; control… | ||
| Monitor Your Microservices with Logs, Metrics, Pings and Traces | David Pilato | 49m |
Monitors Spring Boot microservices end-to-end by shipping logs, system and app metrics, pings and distributed traces into Elasticsearch and Kibana; deploys the… | ||
| Habitat Automation that travels with the app | Romain Sertelon | 28m |
Habitat packages a Spring Boot service inside a reproducible studio, builds a JAR and produces a signed artifact pushed to a public Depot, then promotes from… | ||
| A Software Architect's Approach towards SPA Based Micro Apps | Manfred Steyer | 45m |
Presents three concrete integration patterns with tradeoffs: deployment monolith using NPM packages or a mono repo with TypeScript path mappings (demo… | ||
| State or events? Which shall I keep? | Jakub Pilimon, Kenny Bastani | 46m |
Live-codes two parallel implementations — classic ORM and an event-sourced model — and demonstrates a working Docker Compose example that wires Apache Kafka as… | ||
| Ask the architects | Ken Finnigan, Bridget Kromhout, Susanne Kaiser | 29m |
Panel lists concrete failures and fixes: extracting a first service takes months when teams try to change UI, data schema and add features at once; delaying… | ||
| Dynamic configuration management in microservice architecture with Spring Cloud | Bartłomiej Słota | 40m |
Live-coding shows a concrete setup: a Spring Cloud Config Server backed by Git serving per-application and per-profile YAML, clients use bootstrap context to… | ||
| Hybrid batch and stream processing | Marcos Almeida | 25m |
XComponent Koordinator is a central catalog and REST API that lets business users compose light orchestration scenarios mixing batch jobs and streaming… | ||
| How do we use Serverless Architectures on AWS Lambda | Serhat Can | 17m |
Three years of running AWS Lambda in production at OpsGenie with Java, DynamoDB, SQS, SNS, API Gateway, VPC and SAM, showing a fully serverless feature… | ||
| Data Consistency in Microservices Architecture | Grygoriy Gonchar | 27m |
Describes five concrete approaches to keep entities consistent across microservices: Sagas with compensating operations for recoverable failures, change data… | ||
| Data in a Microservices world from conundrum to options | E. Bernard, M. Coulibaly | 46m |
Shows how to move from a monolithic DB to microservices using a virtual database that speaks JDBC/ODBC, exposes read‑write domain views with field mapping and… | ||
| Monitoring a JHipster microservice architecture in practice | Pierre Besson | 25m |
Concrete, runnable monitoring for a JHipster microservice stack: a JHipster Console that wires logs, metrics and traces into ELK + Zipkin with Spring Cloud… | ||
| Managing incidents in microservices | Serhat Can | 37m |
Argues that incident work must be driven by measurable SLOs, using 99.9% of HTTP calls under 100ms as an example and an explicit error budget to decide paging… | ||
| From a legacy monolith to a scalable SaaS application | Melanie Rao, Rachel Orti | 43m |
A legacy Java monolith (Operational Decision Manager) becomes a configurable, scalable SaaS: webapps are packaged as separate Docker images, deployed with… | ||
| New serverless solutions on Google Cloud for functions, apps and containers | Guillaume Laforge | 42m |
New Google Cloud serverless features include Cloud Functions GA with Node.js and Python 3.7, modern App Engine runtimes running in a gVisor sandbox, and the… | ||
| Integrating microservices by accepting the data dichotomy | Damien Gasparina | 48m |
Argues for accepting the data dichotomy by moving from shared mutable databases to a shared immutable log (Apache Kafka) plus local processing, using Kafka… | ||
| Microservices Lessons Learned | Susanne Kaiser | 36m |
Startup migrates a monolith into microservices by first extracting a document “drive” as a coexisting service but finds doing UI, data model and new features… | ||
| Microservices Highway to hell | Broutin Mathieu | 22m |
Builds a global social network aiming for 1M users requirement and uses Azure, Docker Swarm, Spring Cloud, Couchbase with CDN and Git-based config. Team of… | ||
| What is SmallRye and How Can You Help? | Ken Finnigan | 11m |
SmallRye is an open source implementation library that provides concrete Eclipse MicroProfile sub-spec modules (config, health, metrics, OpenAPI, REST client… | ||
| Cloud Native Java, part deux | Josh Long | 46m |
Covers concrete upgrades: uses Spring Boot 2.0 / Finchley pieces (WebFlux, WebClient), shows reactive persistence with reactive MongoDB and a demo that writes… | ||
| Data Streaming for Microservices using Debezium | Gunnar Morling | 42m |
Debezium streams database change logs into Apache Kafka so services get ordered, complete change events (before/after + source metadata) without code changes… | ||
| Create API for your databases, Rest, GraphQL, gRPC which one should you choose ? | Cedrick Lunven | 26m |
KillrVideo implements REST, gRPC and GraphQL in Java, C# and Node to compare real tradeoffs: REST maps naturally to synchronous CRUD and OpenAPI but returns… | ||
| REST API vs gRPC, which one should you use in breaking a monolith | Vladimir Dejanov | 46m |
Compares concrete tradeoffs: gRPC is schema-first with generated Java stubs, uses HTTP/2 + protobuf for smaller payloads and lower CPU, and supports four RPC… | ||
| Introduction to Micronaut Lightweight Microservices with Ahead of Time Compilation | Graeme Rocher | 47m |
Micronaut compiles dependency injection, AOP and annotation metadata at build time so there is no runtime reflection, producing tiny distributions (10–13 MB… | ||
| 10 tips for failing at microservices | David Schmitz | 40m |
A list of concrete anti-patterns and what actually breaks: adopting polyglot chaos (multiple stacks, build tools and runtimes) so teams rewrite common features… | ||
| Reactive design patterns for microservices on multicore | Charly Bechara, Alain Habra | 45m |
An actor-model runtime called Simplx implements one-thread-per-core event loops (idle ~200–400 ns) and unidirectional lock-free channels to scale throughput… | ||
| Route to microservices the epic voyage of a fintech leader | Mouloud Menceur, Philippe Anes | 44m |
Kyriba recounts moving a 17‑year Java monolith (1,800 customers, ~$100M revenue, 170 engineers) into decoupled modules using event‑storming and DDD, keeping a… | ||
| Thorntail A Micro Implementation of Eclipse MicroProfile | Ken Finnigan | 34m |
Red Hat’s Thorntail implements Eclipse MicroProfile 1.3 (SmallRye shared code) and ships as an uber‑jar; demo builds two services (greeting and cute‑name) that… | ||
| Running Kafka in Kubernetes a practical guide | Katherine Stanley | 27m |
Deploys Apache Kafka on Kubernetes using Helm and IBM Event Streams on IBM Cloud Private, running a 3-broker cluster plus ZooKeeper as statefulsets with PVCs… | ||
| Leveraging Feature Toggles for your Microservices | Cedrick Lunven | 16m |
Shows how to add FF4J to a Spring Boot app to get runtime feature flags plus config and usage metrics in minutes, using a Consul key-value store for shared… | ||
| Istio Platform vs Spring and MicroProfile frameworks | Katherine Stanley | 43m |
Compares Istio sidecar Envoy vs Spring Netflix OSS and MicroProfile by showing where platform policies clash with in-app decisions: Kubernetes DNS or Eureka… | ||
| Secure microservices made easy with MicroProfile JWT | Emily Jiang | 46m |
How to secure microservices? Eclipse MicroProfile JWT (https://microprofile.io/) is the answer. MicroProfile JWT designed a mechanism to propagate the security… | ||
| Find and Track the hidden vulnerabilities inside your dependencies | Julien Topçu | 27m |
Claim: 44% of applications contain critical OSS vulnerabilities. Shows how NVD/CVE and CVSS scores work, then builds a CI pipeline with Jenkins + OWASP… | ||
| Do microservices dream about CQRS ES, Kafka Stream and BPMN ? | Cedric Vidal, Nicolas Romanetti | 45m |
Quicksign migrates a monolith to a Kubernetes microservices platform that combines Camunda BPMN for long running processes (5 minutes to 3 months) with a Kappa… | ||
| Accelerate your CI/CD on Kubernetes with Jenkins X | James Strachan | 39m |
Jenkins X automates CI/CD on Kubernetes by creating clusters and installing tooling with one command like jx create cluster gke, scaffolding projects with jx… | ||
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