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Listen "Codeless Kubernetes Observability with eBPF - OpenObservability Talks S2E01"
Episode Synopsis
Current observability practice is largely based on manual instrumentation, which creates a barrier to entry for many wishing to implement observability in their environment. This is especially true in Kubernetes environments and microservices architecture.
eBPF (extended Berkeley Packet Filter) is an exciting new technology for Linux kernel level instrumentation, which bears the promise of no-code instrumentation and easier observability into Kubernetes environments (alongside other benefits for networking and security).
On this episode of OpenObservability Talks we’ll host Natalie Serrino, Principal Engineer at Pixie Labs, which was recently acquired by New Relic. We’ll talk about observability in Kubernetes environments, eBPF and its use cases for observability.
We’ll also talk about Pixie, the Kubernetes-native in-cluster observability platform, and the exciting news of it being open sourced and contributed these days to CNCF under Apache 2.0 license.
Natalie is a Principal Engineer and Tech Lead at New Relic. She works on the Pixie auto-telemetry observability platform, which was acquired and open sourced by New Relic. She focuses primarily on Pixie’s data layer, including its query language, compiler, and query execution engine.
The episode was live-streamed on 20 June 2021 and the video is available at https://youtube.com/live/NYDBj5ctKaw
Show Notes:
challenges in k8s observability
state of instrumentation
automatic instrumentation
eBPF overview
eBPF vs. service mesh side cars
Pixie project overview
Pixie’s roadmap and integration plans with CNCF ecosystem
Netflix engineering sharing use case of eBPF
instrumenting with Istio
opensearch RC1 released
K8s unpredictable spend
logs aren't enough, need tracing - recommended article
Resources:
http://www.brendangregg.com/ebpf.html
https://blog.px.dev/
https://docs.px.dev/about-pixie/roadmap/
https://www.businesswire.com/news/home/20210504005480/en/New-Relic-Joins-Cloud-Native-Computing-Foundation-Governing-Board-and-is-in-the-Process-of-Contributing-Pixie-Open-Source-for-Kubernetes-Native-Observability
https://netflixtechblog.com/how-netflix-uses-ebpf-flow-logs-at-scale-for-network-insight-e3ea997dca96
https://logz.io/blog/istio-instrumenting-microservices-distributed-tracing/
https://opensearch.org/blog/update/2021/06/opensearch-release-candidate-announcement/
https://thenewstack.io/tracing-why-logs-arent-enough-to-debug-your-microservices/
https://www.theregister.com/2021/06/29/kubernetes_spend_report/
Socials:
Twitter: https://twitter.com/OpenObserv
YouTube: https://www.youtube.com/@openobservabilitytalks
eBPF (extended Berkeley Packet Filter) is an exciting new technology for Linux kernel level instrumentation, which bears the promise of no-code instrumentation and easier observability into Kubernetes environments (alongside other benefits for networking and security).
On this episode of OpenObservability Talks we’ll host Natalie Serrino, Principal Engineer at Pixie Labs, which was recently acquired by New Relic. We’ll talk about observability in Kubernetes environments, eBPF and its use cases for observability.
We’ll also talk about Pixie, the Kubernetes-native in-cluster observability platform, and the exciting news of it being open sourced and contributed these days to CNCF under Apache 2.0 license.
Natalie is a Principal Engineer and Tech Lead at New Relic. She works on the Pixie auto-telemetry observability platform, which was acquired and open sourced by New Relic. She focuses primarily on Pixie’s data layer, including its query language, compiler, and query execution engine.
The episode was live-streamed on 20 June 2021 and the video is available at https://youtube.com/live/NYDBj5ctKaw
Show Notes:
challenges in k8s observability
state of instrumentation
automatic instrumentation
eBPF overview
eBPF vs. service mesh side cars
Pixie project overview
Pixie’s roadmap and integration plans with CNCF ecosystem
Netflix engineering sharing use case of eBPF
instrumenting with Istio
opensearch RC1 released
K8s unpredictable spend
logs aren't enough, need tracing - recommended article
Resources:
http://www.brendangregg.com/ebpf.html
https://blog.px.dev/
https://docs.px.dev/about-pixie/roadmap/
https://www.businesswire.com/news/home/20210504005480/en/New-Relic-Joins-Cloud-Native-Computing-Foundation-Governing-Board-and-is-in-the-Process-of-Contributing-Pixie-Open-Source-for-Kubernetes-Native-Observability
https://netflixtechblog.com/how-netflix-uses-ebpf-flow-logs-at-scale-for-network-insight-e3ea997dca96
https://logz.io/blog/istio-instrumenting-microservices-distributed-tracing/
https://opensearch.org/blog/update/2021/06/opensearch-release-candidate-announcement/
https://thenewstack.io/tracing-why-logs-arent-enough-to-debug-your-microservices/
https://www.theregister.com/2021/06/29/kubernetes_spend_report/
Socials:
Twitter: https://twitter.com/OpenObserv
YouTube: https://www.youtube.com/@openobservabilitytalks
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