InfoQ Homepage DevOps Content on InfoQ
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Panel: Kubernetes at Web Scale on the Cloud
The panelists discuss what they have learned scaling their own workload in the public cloud. Topics include capacity and workload management, security integration, and homegrown PaaS integration.
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Incidents, PRRs, and Psychological Safety
Nora Jones discusses the context around PRRs and provides takeaways on how one can improve production reliability.
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Panel: Real-World Production Readiness
The panelists discuss production readiness, the “practice” of SRE, how data comes to production readiness, and strategies for resiliency.
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Optimizing Efficiency & Capacity Management at Web Scale on the Cloud
Molly Junck shares insight on how Pinterest optimizes their use of the cloud, concurrently maintaining demands for security, availability, rate of innovation, and infrastructure efficiency.
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DevSecOps Best Practices for Identity & Access Management
The panelists discuss how to integrate security into DevOps, where their concerns are and how each is addressed.
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K8s: Rampant Pragmatism in the Cloud at Starling Bank
Jason Maude explores Starling’s technical philosophy of rampant pragmatism and how they applied it to their delivery pipeline.
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Authorization at Netflix Scale
Travis Nelson discusses Netflix’s approach to scaling and shares techniques for distributed caching and isolating failure domains.
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Making Sense of Application Security
Adib Saikali provides a roadmap for application developers and architects to master application security, identifying the security skills needed as an application developer.
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Prod Lessons - Deployment Validation and Graceful Degradation
Anika Mukherji discusses lessons learned in production at Pinterest: deployment validation framework and product-informed graceful degradation, preventing hundreds of outages.
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Cloud-Native Application Security: Your Attack Surface Just Got Bigger
Brian Vermeer shows common threats, vulnerabilities, and misconfiguration including the recently disclosed issues in Log4j, including actionable remediation and best practices.
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ML Panel: "ML in Production - What's Next?"
The panelists discuss lessons learned with putting ML systems into production, what is working and what is not working, building ML teams, dealing with large datasets, governance and ethics/privacy.
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Full Stack Dart
Chris Swan discusses using a stack of Dart, where Flutter developers can use the same language to build the services behind their apps.
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