
Explore a balanced approach to automated testing, challenging conventional methods and creating sustainable strategies for confident software maintenance beyond production.

Explore Entity Framework Core's inner workings to optimize database access, including querying, relationships, unit testing, and Domain-Driven Design integration.

Strategies for tackling complex projects: breaking down tasks, defining MVP, revisiting software principles, and overcoming analysis paralysis to make steady progress.

Practical guide for integrating security into DevOps without slowing down. Learn strategies, tools, and best practices to improve software security posture while maintaining rapid deployment.

Explore benefits and practical examples of testing in production, including early feedback, faster releases, improved quality, and better control over applications in modern cloud and DevOps environments.

Explore microservices scaling using message queues, .NET, and Kubernetes. Learn to design, package, and deploy reliable applications with autoscaling for improved performance and robustness.

Explore effective unit testing strategies, from naming and nesting to data-driven and property-based approaches. Learn to structure tests for clarity, maintainability, and maximum benefit in software development.

Optimizing OS fuzzer seed selection through trace distillation, improving code coverage and vulnerability detection in Linux kernel testing.

Explore automated exploit generation for kernel Use-After-Free vulnerabilities using FUZE framework, enhancing security analysis efficiency and exploitability evaluation for complex OS kernels.

Explore GlitchKit, an open-source solution for fault injection in closed systems. Learn techniques to bypass firmware protection and extract secrets through hardware hacking and reverse engineering.

Efficient coverage measurement technique for fuzzing, reducing overhead in runtime collection and post-execution processing. Improves fuzzer performance and coverage exploration.

Explore categories of unforeseen, catastrophic system failures and strategies to fortify against them, including capacity testing, incident management, and communication.

Explore real-world insights on implementing testing in production for large-scale microservices, focusing on architecture, capacity planning, and infrastructure components.

Explore multi-transaction differential fuzzing for detecting Ethereum consensus bugs, improving security and reliability in blockchain networks.

Explore Homa/Linux: a high-performance transport protocol outperforming TCP and DCTCP in latency and congestion control, with potential for further optimization through software overhead reduction.

Dynamic scaling system for efficient GPU utilization in deep learning, improving memory and computation usage without compromising fairness or performance in large-scale clusters.

Explore a cutting-edge dynamic analysis infrastructure for instrumenting untrusted execution flow, bridging user and kernel spaces in system security.

Explore innovative techniques for efficient fuzzing of stripped binaries, including incremental and stochastic rewriting, static writing, and delta debugging.

Explore Stripe's approach to prioritizing technical infrastructure investments, balancing firefighting and innovation, and enabling long-term success through strategic decision-making and resource allocation.

Detailed analysis of RocksDB workloads at Facebook, revealing key-value usage patterns and proposing improved benchmarking methods for more accurate representation of real-world scenarios.

Comprehensive overview of Linux systems performance, covering tools, methodologies, and techniques for analysis and tuning. Ideal for developers and sysadmins seeking to optimize Linux environments.