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Metrics That Matter
From Communications of the ACM

Metrics That Matter

Critical but oft-neglected service metrics that every SRE and product owner should care about.

Research for Practice: Edge Computing
From Communications of the ACM

Research for Practice: Edge Computing

Scaling resources within multiple administrative domains.

A Hitchhiker's Guide to the Blockchain Universe
From Communications of the ACM

A Hitchhiker's Guide to the Blockchain Universe

Blockchain remains a mystery, despite its growing acceptance.

CodeFlow
From Communications of the ACM

CodeFlow: Improving the Code Review Process at Microsoft

A discussion with Jacek Czerwonka, Michaela Greiler, Christian Bird, Lucas Panjer, and Terry Coatta

Using Remote Cache Service for Bazel
From Communications of the ACM

Using Remote Cache Service for Bazel

Save time by sharing and reusing build and test output.

Research for Practice
From Communications of the ACM

Research for Practice: Security for the Modern Age

Securely running processes that require the entire syscall interface.

SQL Is No Excuse to Avoid DevOps
From Communications of the ACM

SQL Is No Excuse to Avoid DevOps

Automation and a little discipline allow better testing, shorter release cycles, and reduced business risk.

Why SRE Documents Matter
From Communications of the ACM

Why SRE Documents Matter

How documentation enables SRE teams to manage new and existing services.

Corp to Cloud: Google's Virtual Desktops
From Communications of the ACM

Corp to Cloud: Google's Virtual Desktops

How Google moved its virtual desktops to the cloud.

Research for Practice
From Communications of the ACM

Research for Practice: Knowledge Base Construction in the Machine-Learning Era

Three critical design points: Joint learning, weak supervision, and new representations.

Tracking and Controlling Microservice Dependencies
From Communications of the ACM

Tracking and Controlling Microservice Dependencies

Dependency management is a crucial part of system and software design.

The Mythos of Model Interpretability
From Communications of the ACM

The Mythos of Model Interpretability

In machine learning, the concept of interpretability is both important and slippery.

Mind Your State for Your State of Mind
From Communications of the ACM

Mind Your State for Your State of Mind

The interactions between storage and applications can be complex and subtle.

GitOps
From Communications of the ACM

GitOps: A Path to More Self-Service IT

IaC + PR = GitOps

Workload Frequency Scaling Law
From Communications of the ACM

Workload Frequency Scaling Law: Derivation and Verification

Workload scalability has a cascade relation via the scale factor.

Research for Practice
From Communications of the ACM

Research for Practice: FPGAs in Datacenters

Expert-curated guides to the best of CS research.

Algorithms Behind Modern Storage Systems
From Communications of the ACM

Algorithms Behind Modern Storage Systems

Different uses for read-optimized B-trees and write-optimized LSM-trees.

Consistently Eventual
From Communications of the ACM

Consistently Eventual

For many data items, the work never settles on a value.

C Is Not a Low-Level Language
From Communications of the ACM

C Is Not a Low-Level Language

Your computer is not a fast PDP-11.

Designing Cluster Schedulers for Internet-Scale Services
From Communications of the ACM

Designing Cluster Schedulers for Internet-Scale Services

Embracing failures for improving availability.
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