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Conference: ContainerCon 2022
Authors: Rahul Sharma
2022-06-21
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The presentation discusses Dell's solutions for setting up persistent storage for cloud-native applications, including CSI plugins and container storage modules.
- Dell offers CSI plugins for various Kubernetes workloads, including block, file, and object storage
- Dell supports and qualifies major Kubernetes distributions
- Dell has HCI products such as VxRail and PowerFlex
- Challenges for stateful applications include data mobility, cost control, and application portability
Conference: KubeCon + CloudNativeCon North America 2021
Authors: Onno Brouwer, Tomasz Klimek
2021-10-15
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Lessons learned from a DevOps transformation in managing a complex platform
- Quick communication and feedback loop is important in coordinating work between teams
- Having the right mindset involves gaining and sharing knowledge, and spreading the same approach across teams
- Visibility through monitoring and alerting is vital for a good operation of platforms, but blind spots can still occur
- Automation is key in managing a large number of applications and ensuring consistency and predictability
- Smoke tests, a proactive monitoring of the platform, can spot issues before customers are affected
Conference: KubeCon + CloudNativeCon North America 2021
Authors: Zain Asgar, Natalie Serrino
2021-10-15
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Pixie, an open-source observability platform for Kubernetes, can be used to turn low-level telemetry data into high-level signals about system health and automate workflows.
- Observability in cloud-native applications is a data analytics problem
- Pixie uses automated telemetry using eBPF to capture application, network, and infrastructure data with low overhead
- Pixie is 100% scriptable and API-driven, allowing for infrastructure as code and easy integration with downstream tools
- Pixie can be used to generate high-level signals about system health and automate workflows, such as detecting SQL injections and K8s deployment autoscaling
Conference: KubeCon + CloudNativeCon North America 2021
Authors: Gibbs Cullen
2021-10-14
The debate over stream vs. batch processing has been ongoing for years. While batch processing is optimized for large volumes of data, stream processing allows for real-time analysis. With monitoring workflows aimed at minimizing time to detect incidents, having real-time insights is critical for maintaining reliable cloud-native applications. Monitoring business-critical applications can become difficult at scale. How do you continue processing large volumes of real time data while maintaining valuable insights? There are OSS metrics solutions designed to ingest high volumes of data, but they also need to efficiently aggregate metrics for viewing and analyzing these volumes in real time. This talk will explore how two popular OSS projects, M3 and Thanos, have approached the problem of real time aggregation. The audience will learn how stream and batch processing methodologies have been leveraged by the community to aggregate data in real time, and the tradeoffs of each approach.