Automatically Detect the Top Performance & Scalability Issues in Distributed Architectures
Explore common performance patterns in distributed systems and learn automated detection techniques using CNCF's Keptn project for CI/CD pipelines, focusing on SLI/SLO-based quality gates.
Implementing Distributed Consensus
Explore distributed consensus through "Skinny," a lock service. Learn Paxos protocol, design a simple consensus protocol, and tackle implementation challenges in distributed systems.
Challenges of Starting an SRE Team from Scratch in an Enterprise
Insights on building an SRE team in a large enterprise, addressing challenges, establishing standards, and focusing on business priorities like security and cloud cost control.
When - Bin - Sh Attacks - Revisiting Automate All the Things
Explores challenges and impacts of pervasive automation in SRE, discussing human factors, potential harm, and strategies for effective implementation in complex socio-technical systems.
The Smallest Possible SRE Team
Strategies for maximizing SRE impact with limited resources. Learn to leverage data, tools, and communication for effective small-scale SRE implementation and organizational influence.
Confessions of a Systems Engineer - Learning from My 20+ Years of Failure
Veteran systems engineer shares invaluable lessons from two decades of failures, offering insights on designing, running, and troubleshooting large-scale online services to help others avoid costly mistakes.
Achieving Mutual TLS - Secure Pod-to-Pod Communication Without the Hassle
Explore secure pod-to-pod communication using Mutual TLS, focusing on certificate management, implementation in Golang and Java applications, and integration with Kubernetes for streamlined security.
Theseus - An Experiment in Operating System Structure and State Management
Redesigning OS modularity using Rust, Theseus reduces inter-component state dependencies, enabling live evolution and fault recovery for core components beyond existing systems.
RedLeaf - Isolation and Communication in a Safe Operating System
Explore RedLeaf, a Rust-based OS leveraging language safety for fine-grained isolation. Learn about innovative approaches to fault isolation, driver recovery, and performance in operating system design.
Microsecond Consensus for Microsecond Applications
Innovative consensus protocol leveraging RDMA for microsecond-scale replication and rapid fail-over in latency-sensitive applications, significantly outperforming existing systems.
KungFu - Making Training in Distributed Machine Learning Adaptive
KungFu: adaptive distributed machine learning library for TensorFlow. Enables real-time parameter tuning using high-level policies, efficient monitoring, and asynchronous communication for improved training performance.
Caladan - Mitigating Interference at Microsecond Timescales
Explore a new CPU scheduler that achieves better quality of service through fast core allocation, outperforming resource partitioning systems in managing microsecond-scale interference between tasks.
PANIC - A High-Performance Programmable NIC for Multi-tenant Networks
Explores Frenzy, a novel programmable NIC design with high-performance switching interconnect and hybrid push/pull packet scheduler, addressing limitations in multi-tenant networks and diverse offloads.
AIFM - High-Performance, Application-Integrated Far Memory
Explore AIFM, a high-performance system enabling efficient use of remote memory in datacenters. Learn about its API, runtime, and benefits for applications facing memory constraints.
Ansor - Generating High-Performance Tensor Programs for Deep Learning
Ansor: A framework for generating high-performance tensor programs in deep learning, improving execution speed across various hardware platforms through innovative search strategies and optimization techniques.
Tolerating Slowdowns in Replicated State Machines Using Copilots
Innovative consensus protocol for replicated state machines that maintains normal latency despite slowdown of any single replica, using pilot and copilot for redundancy and fast takeovers.
LinnOS - Predictability on Unpredictable Flash Storage with a Light Neural Network
Explore LinnOS, an OS using neural networks to predict SSD performance, enhancing storage application efficiency and outperforming industrial mechanisms with minimal overhead.
Performance-Optimal Read-Only Transactions
Explores performance-optimal read-only transactions in distributed storage systems, introducing PORT design with version clocks for improved consistency and efficiency in applications like Scylla-PORT and Eiger-PORT.
Overload Control for µs-scale RPCs with Breakwater
Overload control scheme for microsecond-scale RPCs, using server-driven admission control with credits based on queueing delay. Employs demand speculation and piggybacking to optimize performance.
Serving DNNs like Clockwork - Performance Predictability from the Bottom Up
Explore a novel approach to machine learning inference systems that achieves predictable end-to-end performance, supporting thousands of models while meeting strict latency targets and request-level SLOs.
Efficiently Mitigating Transient Execution Attacks Using the Unmapped Speculation Contract
Explores efficient mitigation of transient execution attacks using the unmapped speculation contract, presenting Ward kernel design for improved performance without compromising security.