Since the first steps in programming, we start feeling the need for common solutions to address the repetitive complex challenges that exist in a variety of different software systems. Luckily, we now live in the era in which we have numerous open source projects all aiming at helping us solve the common challenges. The challenge has over time shifted from implementing the whole required stack to knowing the already existing elements of the vast puzzle and how each of them maps to the real world business requirements and then integrating the required systems and developing software around them.

While in the early POC stage, companies may prefer to use external SaaS for all their needs but those lean mean start-ups that are convinced in their business model, they usually aim to achieve high profitability by turning to hosting their infrastructure in their cloud accounts/on-premise/combined. This talk is mainly addressed to people in companies with that mindset and will hopefully encourage adopting some technology and/or enlighten some areas that are less known and therefore will help you improve the stack.

The talk starts with a high level overview of categories of cloud native landscape systems, then in circles dives into specific areas and for each such area it points to specific open source solutions that are battle tested and are readily available for your own use.

Due to time limitations, we will only briefly go over a wide available toolset including: terraform, kops, helm, kubernetes, iam-authenticator, vpc cni, nginx/nginx ingress controller, falco, ceph, aws ebs csi, rook, cluster autoscaler, spot.io, keda, clair/klair, sonarqube, connoisseur, cosign, zookeeper, etcd, cassandra, mariadb/gallera, postgresql, stackgress, vitess, prometheus, jaeger, open telemetry, fluentd/fluent-bit, kibana, grafana, netdata, jira, jenkins, gitlab, artifactory, rabbitmq/amqp, kafka, kafka-connect, ksql, argo workflows, mlflow, streamlit, metabase, superset