Adam Bien
Effective Java Strategies and Architectures for Clouds
#1about 2 minutes
Defining what 'effective' means for a cloud strategy
An effective cloud strategy requires a clearly defined desired outcome, which is often missing in large enterprises that migrate without a clear purpose.
#2about 6 minutes
Parallels between old Java EE and modern cloud configuration
The evolution from excessive XML in early Java EE to YAML and JSON in modern cloud tools shows a recurring pattern of complex, verbose configuration.
#3about 7 minutes
Debunking common myths and expectations of public clouds
Many common expectations for public clouds, such as automatic scalability, low cost, and ease of use, are often fallacies for typical enterprise applications.
#4about 2 minutes
Understanding Kubernetes as a foundational platform
Kubernetes should be viewed as a platform for building other platforms, similar to an operating system, rather than a direct application endpoint.
#5about 6 minutes
Abstracting Kubernetes with a managed application server
Services like Payara Cloud act as a cloud orchestrator, managing Kubernetes behind the scenes to simplify deployment to just uploading a WAR file.
#6about 6 minutes
Why cloud costs are driving a return to monoliths
The "lift and shift" approach provides little value, and the per-resource cost model of clouds makes microservice overhead expensive, favoring monoliths for efficiency.
#7about 6 minutes
How cloud billing models influence software architecture
Cloud's pay-per-use model forces developers to make architectural choices based on monthly costs, impacting everything from API calls to storage selection.
#8about 3 minutes
Building an effective strategy around serverless and automation
A practical cloud strategy involves automating deployments, keeping simple applications on-premise, and embracing serverless for its scalability and pay-per-use model.
#9about 2 minutes
Leveraging high-value managed services as the killer app
The primary value of the cloud comes from specialized managed services like AI/ML, text extraction, and global CDNs that provide significant business value.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
03:56 MIN
Adapting infrastructure practices for the cloud environment
Cloud Chaos and Microservices Mayhem
24:47 MIN
Understanding critical architectural trade-offs and anti-patterns
Azure-Well Architected Framework - designing mission critical workloads in practice
02:56 MIN
Understanding the evolution of cloud compute models
Fun with PaaS – How to use Cloud Foundry and its uniqueness in creative ways
23:22 MIN
Combining patterns for advanced serverless architectures
Serverless landscape beyond functions
14:00 MIN
Managing the high cost of cloud development environments
Developing locally with Kubernetes - a Guide and Best Practices
14:14 MIN
Understanding the key benefits of cloud-native architecture
Cloud-nativeApplications- What’s the buzz about
09:02 MIN
Examining the hidden environmental costs of the cloud
What can I do about climate change as a developer... and a human being?
34:04 MIN
Q&A on team collaboration and technical choices
Geometric deep learning for drug discovery
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From learning to earning
Jobs that call for the skills explored in this talk.

DevOps Engineer – Kubernetes & Cloud (m/w/d)
epostbox epb GmbH
Berlin, Germany
Intermediate
Senior
DevOps
Kubernetes
Cloud (AWS/Google/Azure)


Cloud Solution Architect (AWS)
Büro (eg
DevOps
Docker
Terraform
Agile Methodologies
Software Architecture
+2

Cloud Solution Architect (AWS)
Büro (eg
DevOps
Docker
Terraform
Agile Methodologies
Software Architecture
+2

Cloud Solution Architect (AWS)
Büro (eg
DevOps
Docker
Terraform
Agile Methodologies
Software Architecture
+2




Cloud Solution Architect - Container on Cloud
SVA System Vertrieb Alexander GmbH
Azure
Openshift
Kubernetes
Google Cloud Platform
Amazon Web Services (AWS)