Debugging, Monitoring and Continuous Delivery

Business Challenges

- Competitive pressures require faster innovation and time to market to avoid being left behind
- Inefficient use of budget due to Lack of insights into application utilization and behavior over time
- Cost of 'keeping the lights on' reduces innovation budgets

Developer/IT Challenges

- Typical processes for provisioning environments to app teams are slow
- Complexity in managing multiple environments
- Generic APM tools can't provide deep application-specific insights

Goals

To show how to debug, instrument, deploy and monitor a modern microservice application continuously using CI/CD automated pipelines and application monitoring features in OpenShift.

Featured Products

Red Hat OpenShift (Pipelines)
Red Hat Runtimes (Quarkus, Spring Boot)
Red Hat CodeReady Workspaces
Open-source monitoring and tracing tools (Prometheus, Grafana, Jaeger)

Control Cloud Native Apps with Service Mesh

Business Challenges

- Customer dissatisfaction and lower retention due to unplanned downtime`
- Inefficient use of budget due to Lack of insights into application utilization and behavior over time

Developer/IT Challenges

- Increased unplanned downtime due to hard-to-diagnose bugs
- "Big bang" Rolling out of updates to applications can be risky due to unforeseen issues

Goals

To show how OpenShift Service Mesh allows developers and IT staff to gain a deep understanding of their applications, and how to take an existing application and form a service mesh around its services to obtain such understanding.

Featured Products

Red Hat OpenShift (Service Mesh/Istio, Kiali Visualization)
Red Hat Runtimes (Quarkus)
Red Hat CodeReady Workspaces

Advanced Cloud Native with Event-Driven Serverless

Business Challenges

- Staying competitive by meeting modern customer expectations of highly responsive, always-on services
- Reducing cloud deployment costs by efficient deployment of serverless architectures that can scale up and down based on changing demand

Developer/IT Challenges

- General impedance mismatch of deploying traditional, inefficient Java stacks to efficient, lightweight containers
- High cost of always-on, yet idle compute and networking resources

Goals

This module introduces several products that have features targeted at distributed, event-driven architectures. Developers will add high performance, an event-driven caching system to an existing application, and evolve the application architecture to use event-driven messaging and serverless deployment techniques to achieve great application performance on the cloud.

Featured Products

Red Hat OpenShift (Serverless)
Red Hat Integration (AMQ Streams)
Red Hat Runtimes (Quarkus, Data Grid)
Red Hat CodeReady Workspaces