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Explore AWS observability maturity, from reactive to autonomous stages. Learn implementation guidelines, best practices, and future trends in cloud-native observability.
Explore architectural best practices for large-scale data systems, covering storage structures, partitioning strategies, conflict resolution, and system design approaches for optimal performance and scalability.
Explore AI-driven observability in Netdata, comparing traditional monitoring with innovative approaches. Learn about distributed monitoring, anomaly detection, and future ML developments for enhanced system insights.
Establish robust cloud app monitoring and alerting systems. Learn to create intuitive dashboards, set up effective alerts, and leverage failures for continuous improvement.
Learn to track AWS Simple Email Service metrics using CDK and TypeScript, enhancing cloud-native email solutions with improved monitoring and troubleshooting capabilities.
Explore advanced Kubernetes deployment strategies using Argo Rollouts. Learn zero-downtime techniques, canary and blue-green deployments, and best practices for complex application rollouts.
Explore strategies to enhance developer productivity through improved experiences and AI-powered tools, moving beyond traditional platform-centric approaches.
Explore AWS optimization strategies for media production workloads. Learn about SES, workload analysis, evolution, rightsizing, scaling, and database management to enhance cloud performance and efficiency.
Learn best practices for managing AWS streaming data pipelines at scale, covering data distribution, large record processing, schema registry, and validations.
Explore challenges and solutions for building cloud-agnostic and multi-tenant applications. Learn design principles, architecture strategies, and best practices for scalable, flexible cloud-native solutions.
Explore AI and ML algorithm productionization in cloud environments. Learn development phases, NLP tasks, Hugging Face, MLflow, and AWS deployment for effective model management and serving.
Explore threat-informed defense strategies for cloud environments, covering defensive measures, cyber threat intelligence, and testing methodologies to enhance cybersecurity effectiveness.
Explore modernization pathways from monoliths to microservices using AWS App2Container and Amazon Q. Learn containerization techniques, refactoring with GenAI, and practical demos for cloud-native transformation.
Explore Kubernetes operators for building internal dev platforms. Learn about platform engineering, K8s control plane, custom controllers, and see a practical demo.
Learn a practical 3-step approach to modernize monolithic systems into microservices, covering decomposition strategies, the strangler fig pattern, and automation tools for seamless migration.
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