Kubernetes: Good or evil? The ethics of data centers
Anne Currie says excessive and dirty energy use in data centers is one of the biggest ethical issues facing the tech industry.
Operations
The latest ideas, practices, and trends for improving your business through operations.
Incognito mentorship
Katrina Owen says the valuable skills that experienced professionals lack are at the vital margins of their careers.
Highlights from the O’Reilly Velocity Conference in London 2018
Watch highlights from expert talks covering Kubernetes, chaos engineering, deep learning, and more.
Deriving meaning in a time of chaos: The intersection between chaos engineering and observability
Crystal Hirschorn discusses how organizations can benefit from combining established tech practices with incident planning, post-mortem-driven development, chaos engineering, and observability.
A new vision for the global brain: Deep learning with people instead of machines
Omoju Miller outlines a vision where we harness human action for a better future.
Critical path-driven development
Jaana Dogan explains why Google teaches its tracing tools to new employees and how it helps them learn about Google-scale systems end to end.
O’Reilly Radar: Systems engineering tool trends
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Why marketing matters
Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.
Practical ethics
Laura Thomson shares Mozilla’s approach to data ethics, review, and stewardship.
Chaos Day: When reliability reigns
Tammy Butow explains how companies can use Chaos Days to focus on controlled chaos engineering.
Highlights from the O’Reilly Velocity Conference in New York 2018
Watch highlights from expert talks covering DevOps, SRE, security, machine learning, and more.
Continuous disintegration
Anil Dash asks: How could our processes and tools be designed to undo the biggest bugs and biases of today’s tech?
The programmer’s mind
Jessica McKellar draws parallels between the free and open source software movement and the work to end mass incarceration.
ML on code: Machine learning will change programming
Francesc Campoy Flores explores ways machine learning can help developers be more efficient.
Practical performance theory
Kavya Joshi says performance theory offers a rigorous and practical approach to performance tuning and capacity planning.
Progress for big data in Kubernetes
It has become much more feasible to run high-performance data platforms directly inside Kubernetes.
5 things you should be monitoring
Achieve high-impact systems monitoring by focusing on latency, errors, throughput, utilization, and blackbox monitoring.
Jepsen 9: The center cannot hold
Kyle Kingsbury explores anomalies in three distributed systems and shares strategies for correctness testing using Jepsen.
Declarative application configuration: Mixing the old with the new
Bryan Liles explains how to evaluate and integrate new declarative application management practices into continuous integration pipelines.
Secrets and surprises of high performance: What the data says
Nicole Forsgren shares results and stories behind high-performing technology-driven teams and organizations.
Scaling yourself during hypergrowth
Julia Grace shares how she learned to rapidly scale herself and her leadership team during a period of hypergrowth at Slack.
Reliability from the ground up: Designing for five nines
Astrid Atkinson discusses techniques for building systems that are resilient by design.
Running stateful applications in Kubernetes: Is it worth the risk
Kris Nova looks at the four metrics that help you decide if running stateful applications in Kubernetes is worth the risk.
Lessons learned while evolving Box’s database infrastructure
Tamar Bercovici details how the team at Box has constructed its database stack to handle an ever-growing query load and data set.