Open Source Summit Europe 2018 - day 1

My personal notes ...

Monday, October 22, 2018

Open Source Summit Europe 2018

Open Source Summit Europe is the leading conference for developers, architects and other technologists – as well as open source community and industry leaders – to collaborate, share information, learn about the latest technologies and gain a competitive advantage by using innovative open solutions.

This page contains my personal notes of the first conference day.

Wanted, 10,000 Developers to Electrify the Planet

Shuli Goodman, Executive Director, LF Energy

Energy: distrbuted everything

Microsoft Participation and the Further Reduction of Patent Risk in the Core of Linux/OSS

Keith Bergelt, Chief Executive Officer, Open Invention Network (OIN)

OpenInventionNetwork: Microsoft Participation and the Further Reduction of Patent Risk in the Core of Linux/OSS

OIN Community, join to share your patents.

Something for KPN, to join?

Software-Defined Everything

Arjan van de Ven, Intel Fellow & Director of Linux Systems Engineering, Open Source Technology Center, Intel



ACRN™ is a flexible, lightweight reference hypervisor, built with real-time and safety-criticality in mind, optimized to streamline embedded development through an open source platform

ACRN, functionally safe capable hypervisor

Kata containers

Kata Containers is a new open source project building extremely lightweight virtual machines that seamlessly plug into the containers ecosystem.


NEMU is an open source hypervisor specifically built and designed to run modern cloud workloads on modern 64-bit Intel and ARM CPUs.

Modern Open Source Hypervisor for the Cloud, QEMU based.

The Kernel Report

Jonathan Corbet, Author, Kernel Developer and Executive Editor

Welcome to []

Handling of hardware vulnerabilities: The look like software vulnerabilities. Can be solved in software but requires openness.

Meltdown was developed in public, Spectre was developed in private. Spectre solution:

  • distributor fragmented
  • developer burnout and frustration
  • many left out in the cold

Current stable kernel: 4.18.16

The Good Olde Days:

  • soource-code management
  • change tracking
  • release discipline
  • rules on regressions
  • automated testing
  • code of conduct

AIOps: Anomaly Detection with Prometheus

Marcel Hild, Red Hat

Prometheus, fire to the people.

Pulling data, long term storage and alerting

Prometheus => monitoring & alerting

How Red Hat sees AI


  • Prometheus at scale
  • Global query view
  • Reliable historical data storage
  • Unlimited retention
  • Downsampling


  • Easily hooked into prometheus with write and read endpoint
  • Reliable historical data storage
  • Great for data science
    • Pandas integration
  • “Eats RAM for breakfast”
  • GitHub: Prometheus Long Term Storage

Prometheus scraper:

  • container can be configured to scrape any prometheus server
  • can scrape all or a subset of the metrics
  • stores data in ceph or S3 compliant storage
  • can be queried with spark sql
  • Future Proof: path to Thanos
  • GitHub: Store prometheus metrics with thanos


Analysis of metrics meta data: GitHub: Data Science on Prometheus Metrics

Anomaly Types

  • Irregularity
  • Seasonality
  • Increasing trend

Anomaly detection with Prophet, predicting future data and dynamic thresholds.

The Accumulator, GitHub-notebook: Anomaly Detection Decision Rules.ipynb

GitHub: Anomaly Detection in Prometheus Metrics

Demo: MiniShift (Openshift) Fourier and Prophet (anomaly times two, expected divided by two)

CRI Runtimes: Who is running my Pod!? A Deep Dive into Kubernetes and the Container Runtime Interface

Phil Estes, @estesp, IBM

Kubernetes doesn’t run your containers



Kubernetes vs Container Runtime

Kubernetes vs Container Runtime

What Runtimes Exist?


What do I need?

  • Performance
  • Stability
  • (Optional) Hypervisor Isolation
  • Security Capabilites
  • Broad usage
  • Multi-architecture Support

Containerd Benefits

  • Designed with broad usage as a core container runtime:
    • Docker, LinuxKit, Kubernetes and embedded core runtime use cases (OpenWhisk, Cloud Foundry)
  • Stress testing for stability and performance guarantees 24/7
  • Usable Go librar (or gRPC) for ease of embedding
  • Compatibility guarantees; bug fix backports for stable support

Containerd in the Cloud(s)

  • Kelsey Hightower’s “Kubernetes the Hard Way” deploys containerd as the kubernetes runtime
  • GKE beta: containerd-based K8s clusters
  • IBM Cloud: containerd-based clusters for 1.11+
  • Azure OSS acs-engine includes containerd; AKS moving to containerd (but CRI-O for OpenShift)
  • CloudFoundry: moving to containerd from runc

Going Further

containerd is an industry-standard container runtime with an emphasis on simplicity, robustness and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc.

containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.

containerd architecture

crictl & ctr

Read the user’s guide

ctr version displays containerD version

ctr has namespaces

ctr can be used to load a container image into the container runtime

OpenFaaS Cloud: Multi-user Serverless driven by GitOps

Alex Ellis,, OpenFaaS project


Fulltime team, Production users, Won a Bossie award (twice)

Serverless is an architectural pattern

Cloud: decreasing concern for infrastructure

Application evolution

Application evolution

Function definition


  • short lived
  • single-purpose
  • no state
  • auto-scaling
  • Why not atomic

Language support

built-in support for several languages:

  • Go
  • .NET core
  • Python
  • etc

Github Actions

GitOps + functions = OpenFaas Cloud:

  • Managed
  • Multi-user
  • Personal dashboard
  • CI/CD (GitOps)
  • Feedback via GitHub

Summing up

OpenFaas Cloud brings:

  • Portable multi-usert Serverless
  • Developer-native workflow (GitOps)
  • Rapid iteration from concept to production

Get involved