Neo4J embedded graph context required
client not ready for separate JVMs - collocated speed is higher
DST twice a year
Naive 4 level join slowing JPA DB quieries
I designed it - I fixed it using a set of default lazy load queries with optional fetch joins
Hidden Concurrency issues using Maps and Lists
use CopyOnWriteArrayList and ConcurrentHashMap when replacing older ForkJoin code with
list.parallelStream().forEach(consumer)
aList = Stream.of(String[]).map(elem → new String(elem)).collect(Collectors.toList())
Needed a fully automated Kubernetes install for CI/CD
Deployment Hierarchy not reflecting dependencies - needed quick deploy sequencing fix
Short term
sh script
Long term
https://github.com/helm/helm/blob/master/docs/helm/helm_dependency.md
Cost Analysis
Cost Savings: AWS SPOT VMs for CI/CD instances
with retry at 90% off
Cost Savings: AWS SPOT VMs for Kubernetes Cluster VMs
Pick us-east-2 for up to 3-6 months - and R4 memory optimized - not in demand
