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• The use of service policies and Argo workflows enables Cloud native open source authorization application architecture.
• Service policies allow for dynamic resolution of authorization checks based on service instances.
• Argo workflows are used for end-to-end workflows for compiling, testing, and validating authorization changes.
• The presentation provides an example of using Argo to submit a job to pull down policies and run tests to validate changes.
• The presentation emphasizes the importance of testing and evolving policies over time.

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• Chaos engineering can be used to test the resilience of systems and identify vulnerabilities
• Litmus is a tool that can be used to implement chaos engineering in DevOps
• Chaos experiments can be constructed using APIs and injected into pipelines using Chaos IPs
• Chaos hubs can be used to share chaos experiments across teams
• Common security questions and challenges include controlling access to chaos experiments, isolating namespaces for chaos engineering, and managing privileges through service accounts
• Litmus 3.0 beta is focused on making chaos engineering easier for developers to use
• Joining the Litmus community can provide opportunities for feedback and contributions

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• eBPF technologies are rapidly gaining use within the cloud-native technology stack
• The presentation focuses on providing guidelines for building production-ready cloud-native eBPF software projects
• The presentation covers available programming models, tool chains, understanding portability and maintainability, and designing for operational requirements
• The presentation provides demos and code walkthroughs of sample eBPF programs that illustrate the use of best practice recommendations
• The presentation also discusses challenges and solutions for using BPF programs in a Kubernetes environment

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• Running large Kubernetes clusters is challenging despite community improvements
• Defaults are not always enough and best practices should be followed
• Avoid list calls and use informers to improve performance
• Memory and CPU buffer should be maintained to handle bad events
• Streaming lists in Kubernetes 1.27 can improve memory usage

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• Dragonfly is a P2P-based image and file distribution system used to improve the physical and speed of large-scale field distribution
• Dragonfly has been selected and put into production by many internet companies since it was open-sourced in 2017
• The system architecture of Dragonfly consists of four services: manager, scheduler, asset peer, and pure peer
• The manager service is used to manage the relationship between multi-clusters or P2P clusters and provides a dynamic configure management
• The scheduler service selects candidate download parents for download peer when the pure download fails and controls the peer to download the task
• The asset peer is triggered by the scheduler to download back to songs and divide the results into pieces
• The pure peer is the calendar in P2P network and can be downloaded and uploaded
• Dragonfly can be combined and used with other systems in the ecosystem, such as Harbor, Nydus, and eStargz

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• Failure to prioritize security in DevOps
• Lack of collaboration between security and development teams
• Inadequate training and education on application security
• Inefficient use of tools and technology
• Lack of integration of threat modeling in DevOps process
• Vulnerable code in the wild

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• Github Actions is a popular CI/CD tool that allows developers to automate development workflows easily
• Misconfigurations in Github Actions can lead to potential vulnerabilities
• Code injection is a common exploit that can result from misconfigurations
• The consequences of such attacks can be disastrous, including exposing secrets and allowing attackers to commit malicious code
• Possible mitigations to stop such attacks are explored

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• Common understanding across roles is important in FinOps
• Standardization of labeling and monitoring is necessary across teams and organizations
• Load testing and iterative improvement of resource requests is crucial for right-sizing
• Integration and coordination of policies and autoscalers is important to avoid system failures
• FinOps can have a positive impact on the environment, but it is not the sole focus of the practice