
Explore LinkedIn's approach to scaling AI and ML systems, focusing on improving productivity and accessibility for engineers across product groups.

Practical insights on implementing event sourcing and CQRS at scale, addressing real-world challenges like security, GDPR, and maintainability in financial and insurance sectors.

Discover techniques for continuous profiling in production environments to solve performance issues, improve scalability, and reduce costs in modern distributed systems.

Optimize Java performance with GraalVM: create smaller, faster containers for improved scaling, shorter lead times, and cost-effective cloud usage in serverless environments.

Explore Java Flight Recorder and Mission Control for automated performance analysis, bottleneck identification, and capacity estimation in CI/CD pipelines using JMC API and machine learning.

Explore serverless architecture and FaaS frameworks for cloud-native apps. Compare leading options like Knative and OpenFaas to choose the best fit for your next project.

Comprehensive overview of modern authentication and authorization standards for applications and APIs, covering SSO, token-based security, OAuth2, FIDO, and more.

Learn Kubernetes fundamentals for orchestrating Docker containers in production, including key concepts like Pods, Services, Deployments, and Ingress. Gain practical insights for scalable, zero-downtime deployments in the cloud.

Exploring modern software architecture: moving beyond legacy constraints to deliver value through evolutionary approaches and measurable fitness.

Explore WebUSB API for integrating hardware with web browsers, enabling direct device connections without traditional drivers. Learn implementation techniques and potential applications.

Explore team leadership through distributed systems theory, applying concepts like CAP Theorem to optimize team dynamics, communication, and culture for successful scaling.

Learn to implement fast, efficient stream processing with a distributed in-memory cache using Java. Discover techniques for analyzing in-memory data and integrating external data sources for high-performance analytics.

Discover GraalVM's power for microservices: fast boot times, low memory usage, and Quarkus framework integration. Learn optimization techniques and developer-friendly features through demos and real-world applications.

Explore cluster ingress in Kubernetes, comparing ingress providers, load balancers, API gateways, and service meshes. Learn evolving patterns for modern cloud-native architectures.

Explore trunk-based development, continuous deployments, and feature toggles to streamline application versioning, testing, and deployment across multiple environments.

Discover how MLflow simplifies machine learning development by tracking experiments, registering projects, and streamlining model deployment across various platforms.

Explore Kubernetes operator development in Java using Quarkus and fabric8, with insights from Instana's experience creating their agent operator for custom resource management.

Simplify Kubernetes complexity using Helm: learn about templates, values, requirements, and pod specifications for easier, maintainable, and reusable configurations.

Explore Jib, an open-source Java library for fast container image building. Learn how it simplifies development, optimizes image layers, and integrates with Maven/Gradle. Discover "Distroless" images for enhanced efficiency.

Explore reactive applications in Micronaut, handling hot data sources with Apache Kafka, and creating interactive web clients using D3.js. Learn testable approaches for efficient data processing and visualization.

Deploying TensorFlow Lite on IoT devices for smart vertical farming: optimizing plant growth, reducing latency, enhancing privacy, and enabling offline operation in areas with unreliable internet.