Angular application architecture

Flux/Redux

MobX

Angular Model Pattern

https://tomastrajan.github.io/angular-model-pattern-example
https://medium.com/@tomastrajan/model-pattern-for-angular-state-management-6cb4f0bfed87

MVI

https://lambda-it.ch/blog/post/reactive-data-flow-in-angular-2

Other

http://blog.brecht.io/A-scalable-angular2-architecture/
https://dzone.com/articles/how-to-build-angular-2-apps-using-observable-data-1

Open source .NET diagramming editors

• https://www.codeproject.com/Articles/1136050/FlowSharp
• http://www.dalssoft.com/diagram/

Container Ochestrators

https://netsil.com/blog/kubernetes-vs-docker-vs-mesosphere/

Swarm

Kubernetes

Kubernetes is an open source container orchestration framework (create and manage multiple docker containers).

• By Google.
• Huge GitHub activity.
• Runs everywhere (on-premise clusters or on cloud with support for AWS,GCE and Azure out of the box).
• Declarative
• REST API

• Builds the cluster and maintains it: network abstraction and management, scale adding nodes, remove nodes, etc.
• Service upgrade and rollback.
• Resource abstraction and management: frees you from the machine. It does the segregation of the services in the machines. You only define the resource needs of each service in CPU, GB or percentages.
• Storage abstraction and management: docker volumes, upgrades/restarts, 

Spark support

• Standalone: http://blog.madhukaraphatak.com/scaling-spark-with-kubernetes-part-1/
• Kubernetes as native scheduler: https://datapipes.org/2017/04/05/native-spark-jobs-on-kubernetes/ https://www.slideshare.net/databricks/apache-spark-on-kubernetes-anirudh-ramanathan-and-tim-chen
• Kubernetes in Mesos: https://thenewstack.io/mesosphere-now-includes-kubernetes-for-managing-clustered-containers/

DC/OS 

• Mesos based.
• Container technology agnostic but now centered on Docker.
• Non containerized applications can also be deployed.

Micro-services

About

• Trends: https://jaxenter.com/microservices-trends-2017-survey-133265.html
• Self-Contained services (SCSs) are not uServices http://scs-architecture.org/
• Building applications by pushing more of the complicated stuff down a layer https://www.javacodegeeks.com/2017/02/excited-2-0-tech-stack-microservices.html http://blog.christianposta.com/microservices/netflix-oss-or-kubernetes-how-about-both/

Frameworks

Classic

• Spring Boot/Cloud: 
• http://projects.spring.io/spring-cloud/
• http://www.dineshonjava.com/2017/01/microservices-with-spring-boot.html
• https://dzone.com/articles/microservices-and-spring-cloud-config-server

Reactive

• VertX
• Lagom: https://www.lagomframework.com/

Schedulers

• Swarm
• Kubernetes

Streaming

• Spring Cloud Stream: https://cloud.spring.io/spring-cloud-stream/

Monitoring

• Prometheus: https://prometheus.io/

HTTP Clients

• Feign: java to http client binder  https://github.com/OpenFeign/feign 

In-memory JavaScript databases

NoSQL

PouchDB
https://pouchdb.com/

RxDB
https://github.com/pubkey/rxdb (based on PouchDB)

TaffyDB
http://taffydb.com/

LokiJS
http://lokijs.org

NeDB
https://github.com/louischatriot/nedb

SQL

sql.js

https://github.com/kripken/sql.js/

AlaSQL

http://alasql.org/

WebSQL

Dead!

https://www.w3.org/TR/webdatabase/

Kafka and Docker

Yum repo
http://docs.confluent.io/current/installation.html#installation-yum

Single container with Zookeper + Kafka broker standalone 
Basic:
https://github.com/parzonka/kafka-standalone-docker
https://github.com/jrottenberg/kafka-standalone

Supervisor based:
https://github.com/afritzler/docker-kafka-standalone

Separate containers
Basic/broker only
https://github.com/ches/docker-kafka

Compose based/best rated
https://github.com/wurstmeister/kafka-docker

Confluent distro
https://github.com/confluentinc/cp-docker-images

Apache Kafka and PostgreSQL

https://www.confluent.io/blog/bottled-water-real-time-integration-of-postgresql-and-kafka/
http://www.3manuek.com/kafkacatandcopypg

Kafka Connect

Standalone 
bin/connect-standalone worker.properties connector1.properties connector2.properties ...

Converters

• AVRO: http://debezium.io/blog/2016/09/19/Serializing-Debezium-events-with-Avro
• LongConverter: https://github.com/2gis/kafka-connect-hdfs-ext/blob/master/src/main/java/ru/dgis/casino/plain/LongConverter.java

Connectors
http://www.landoop.com/kafka/connectors/

Tasks
A single call to "put" may include messages from different topics.

"flush" is invoked periodically (offset.flush.interval.ms).
Both put and flush may be invoked with zero messages.

Custom connector
https://github.com/mcandre/hello-kafka-connect