This is a group for anyone locating in Turin interested in a new computing paradigm that is optimized for modern distributed systems, targeting to containerized and microservice-oriented applications. Topics to be discussed are all around open-source projects hosted by Cloud Native Computing Foundation (CNCF), Kubernetes, Opentracing, Prometheus. This group is run to support the CNCF Community. All skills levels are welcome.
What is CNCF? (Cos'é CNCF?)
CNCF is a branch of The Linux Foundation focused on Cloud Computing and modern scalable architectures. it's supporting tools like Kubernetes, Prometheus, containerd and so on. If you are using one of them or you are looking to know more about them, this is your meetup. Join us! hashtag #CNCFItaly on twitter.
CNCF é un ramo della Linux Foundation focalizzato sul Cloud Computing, microservices ed infrastrutture scalability. Supprota progetti come Kubernetes, Opentracing, Rkt, CNI. Se stai utilizzando uno di questi tools o sei interessato a saperne di piú unisciti a noi! hashtag #CNCFItaly su twitter .
About the event (Riguardo l'evento)
18:30 The doors are open (apertura delle porte)
19:00 - 19:30 - GoLang application metrics on Kubernetes by Dario Tranchitella
With the rise of micro-services, a DevOps approach must be applied: this means we need to ensure to obey to C.A.L.M.S. pillars. Obviously, this talk will focus on the `M` one that stands for `Metrics` and sometimes people don't think how are they important, or at least just use the one provided by available collectors.
In this talk we'll explore how to write your own metrics with a simple GoLang queue-based application, exposing useful metrics in order to measure new features and check the health status of your inner subsystems.
19:40 - 20:10 - eBPF powered Distributed Kubernetes performance analysis by Lorenzo Fontana
Since the Linux kernel 4.x series a lot of enhancements reached mainline to the eBPF ecosystem giving us the capability to do a lot more than just network stuff.
The purpose of this talk is to give an initial understanding on what eBPF programs are and how to hook them to programs running inside Kubernetes clusters in order to answer targeted questions at cluster level but about very specific fine-grained situations happening in our programs and systems, like:
- Had that function in my program been called ?
- For a given function which arguments have been passed to it? And what it did return?
- Which TCP packets are being retransmitted?
- What are the queries running slow?
- Insights on programming language events/gc
- Had that file been opened?
Imagine a programmable Kubernetes performance analysis tool that runs at cluster level without performance implications how would you it to be?
20:15 Pizza e Birra