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Transforming Digital Learning: Learning Design Meets Service Design
Best Practices for Biomedical Research Data Management (HE)
Fundamentals of Reinforcement Learning
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Explores programmable switches for rapid rerouting using TCP-induced signals to detect failures. Presents Blink, a data-driven system analyzing TCP flows at line rate to quickly recover connectivity in the data plane.
Innovative size-aware sharding technique for in-memory key-value stores, reducing tail latencies and improving throughput by avoiding head-of-line blocking and optimizing request distribution across cores.
Efficient alternative for large-scale ML tasks using SSD-resident matrices, enabling near in-memory performance on a single workstation. Outperforms distributed systems for complex algorithms like eigensolvers.
Explore Netflix's approach to chaos engineering, its impact on system resilience, and lessons learned in building a robust software stack through controlled failure experiments.
Explore eBPF for debugging Linux performance issues, focusing on a real-world case of CPU increase in Kafka after a Debian upgrade. Learn tools and techniques for operational engineers.
Explore the impact of serverless architecture on operations, redefining roles and responsibilities. Learn to adapt, prove value, and navigate the changing landscape of cloud technology.
Discover Netflix's approach to handling incidents at high velocity, focusing on preparation, expertise, and continuous learning to ensure quick recovery and unique outage scenarios.
Explore Intuit's journey of running Kafka on Kubernetes in AWS, covering evaluation, testing, configuration, and integration with monitoring tools. Learn about challenges faced and solutions implemented.
Discover strategies to reduce alert fatigue and maintenance costs in systems of any size using Service Level Objectives (SLOs) and symptom-based alerting with Prometheus.
Scaling Instagram's infrastructure across continents: challenges, solutions, and disaster recovery strategies for deploying stateful services and partitioning Cassandra databases between US and Europe.
Build real-time streaming data pipelines using Apache Kafka and KSQL. Learn architectural benefits, data integration, filtering, enrichment, and anomaly detection through practical demonstrations.
Explore Circonus platform's evolution, including architectural changes and lessons learned from failures in telemetry management and SLO implementation for system reliability.
Shopify's transition to Kubernetes: challenges, solutions, and benefits of moving from traditional infrastructure to cloud-native. Insights on custom tooling and automation for efficient container orchestration.
Explores the practical challenges of cloud agnosticism, discussing financial, technical, and operational complexities of multi-cloud deployments and migrations between providers.
Learn proactive capacity planning techniques to avoid reactive scaling, covering monitoring, future planning, enforcement, re-evaluation, and common pitfall avoidance for SREs and engineers.
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