Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Projects

Jun 22, 2017Download as PPTX, PDF0 likes478 views

Jose Lausuch, Ericsson, Nikolas Hermanns, Ericsson How can we make sure that new code in OPNFV does not break or stop CI? How can we ensure quick feedback for each patch-set? With the new way to snapshot a virtual deployment it is now possible to get virtual clouds up and running in about 2 min. In addition, through low amount of disk/cpu consumption and isolation of the networking it is possible to have a very high number of virtual deployments co-existing in the same bare-metal server.

Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Projects

Testing, CI Gating & Community
Fast Feedback: The Challenge
of Integration Projects
Nikolas Hermanns
Jose Lausuch

Outline
• Challenges of the SDNVPN project
• XCI patchset verification
• Virtual testing setup
• Functest test challenge

Integration Project (e.g. SDNVPN)
ODL SDNVPN Fuel
Apex
• Consume many different
Project
• Different release dates
• Different Bug tracking
• Different source code handling
• Different programming language
• Etc.

Challenge of Integration Projects (e.g. ODL in OPNFV)
ODL-Master
time
ODL-Release
OPNFV-Integration
•Bug finding
ODL-Release
Bug1
ODL-Stable
Bug2
Bug1 Bug2
ODL-Master
x
• Bug 1 found and
solved
• Bug 2 found but not
valid for master
anymore
• Bug 2 was not worth
the effort
• Bug 3 will not be
found until next
release
ODL is consumed too late!
Bug3

Challenge of Integration Projects (e.g. ODL in OPNFV)
Developer A
Bug 1
time
ODL-Release
ODL-Release
Bug1
Integrator A
• Dev A expert in Part of
ODL
• Int A expert in Fuel but
doesn’t know much about
ODL code base
• Int A needs to find and
understand the bug!
• Int A need to talk to Dev A
and explain the found bug
• Might be Dev A does not
even remember

Solutions
• Solution 1: More test cases in consumed project
• Integrator needs to convince and explain the test to Developer
• Test case might be too E2Eish to be created in consumed project
• Solution 2: XCI patchset verification
• Automated integration (Consume latest state)
• Fast feedback (reducing from months to < 1 hour)
• No interaction from integrator

New
Patchset
(Commit)
Create Virtual
Testing Platform
Download/Install
new artifact
Use standard
testing framework
e.g. Functest
Build ODL
artifact
10 min 15 min 35 min
Unit test
Installer Project
e.g. Apex
Snapshot
5 min
Positive -> Merge commit
Negative -> Prevent merge
Investigate the
logs/Find bugs
ODL OPNFV
Feedback

Bare Metal (48 threads/256 GB RAM/500 GB SSD)
vJenkins
slave
vController vCompute
vCompute
vCompute
Thread pool – 8 vCPU
 10 GB Diskspace
 40 GB RAM
 Own OVS networks
vJenkins
slave
vController vCompute
vController vCompute
Snapshot
Controller
vController
vController
vController
Snapshot
Compute
vCompute
vCompute
vCompute
~ 100 GB Diskspace
x6
• RAM and CPU limiting factor
• Very low disk IO cause no
installation process
• ~2 mins until Openstack/ODL
services up
• Easy exchange of snapshot

Using the Snapshot
vController
vController
vController
Snapshot
Controller
vController
vController
vController
~ 100 GB Diskspace
>1GB disk consumption per vHost
• Using the base concept of qemu-img

CPU pinning
• 4
• 3 8 vCPUs ? -> YES! – sharing is the key.
• 1
time
vJenkins
slave
vController
vCompute
CPU-Load
Jenkins-
Slave
running
8 vCPU
Start
vCmp
vCtrl
Started
vCmp
vCtrl
Testing
started
Testing
more
API
Under-
provisioned

Cpu pinning
• Other vPod do not get effected

Networking
• OVS for complete
isolation
• vPods using same
IPs so every vPod
has its own
networks
• Jenkins-slave for
Gateway doing NAT
vJenkins
slave
vController vCompute
Bare metal
host
admin
storage
private
public
host
NAT
internet

Example of application: Functest
FUNCTEST
pep8
unit
tests
pylint
docs
py35
py27
test new
code on
OPNFV
deployment

Example of application: Functest
• Functest bug might break CI
• Needs a way to test each change before merging
• Fast feedback to the commit owner
• Easy to validate framework changes on Functest
• Can be tested on a basic nosdn-nofeature scenario

Example of application: Functest
Challenges:
• Changes on Feature tests  need specific scenario deployed
• Increase verification time of each patchset ( + time to build a
docker image)
• Identify where the change is (framework, test case, …) to trigger
an appropriate test case

Thank You
Nikolas Hermanns Nikolas.Hermanns@ericsson.com
Jose Lausuch jose.lausuch@ericsson.com

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Morgan Richomme, Orange OPNFV provides lots of tooling that can be adopted and adapted to Service providers solution. These solutions are OpenStack based but not necessarily OPNFV solutions. This session will detail how some components developed in OPNFV have been introduced in Orange Integration Center, an OpenStack based vendor solution including Contrail SDN controller and third party elements. The best practices learned in OPNFV were used to design and build a CI chain including jenkins, functest, yardstick, the test API and the Test DB.

Energy Audit aaS with OPNFVOPNFV

Morgan Richomme, Orange Power consumption is a key driver of NFV. However very few projects deal with this aspect. This session will detail a prototype realized in OPNFV Orange labs aiming to track power consumption during CI operations. We could imagine that, if we generalize the information colelction to the Pharos community, we may get significative figures to establish power consumption profiles and why not try to get even deeper and get applicative profile using statistical tools

Hands-On Testing: How to Integrate Tests in OPNFVOPNFV

Storage Performance Indicators - Powered by StorPerf and QTIPOPNFV

Yujun Zhang, ZTE Corporation, Mark Beierl, Dell EMC StorPerf uses heat to create VMs with attached cinder volumes. The volumes are used *without* a file system (ie target=/dev/vdb). The FIO workload is run and stats collected every minute. When we get 10 samples in a row that fit within a certain range and slope, we say it is a valid measurement. This avoids false numbers due to Ceph balancing or other warm up. The metrics can be read after job completes, and there is an indicator to state if the volume metrics stabilized or not. Storage QPI will be calculated based on the test results from storperf by QTIP. It aims to be a comparable indicator for storage performance among different platforms.

Big Data for Testing - Heading for Post Process and AnalyticsOPNFV

Yujun Zhang, ZTE Corporation, Donald Hunter, Cisco, Trevor Cooper, Intel The testing community created tens of testing projects, hundreds of testing cases, thousands of testing jobs. Huge amount of testing data has been produced. What comes next, then? The testing community puts in place tools and procedures to declare testcases/projects, normalize and upload results. These tools and procedures have been adopted so we now have lots of data covering lots of scenarios, hardware, installers. In this presentation, we shall discuss the stakes and challenges of result post processing. * How analytics can provide valuable inputs to the community, end users or upstream projects. * How can we produce accurate indicators, reports and graphs, focus on interpreting / consuming test results. * How can we get the best of breeds of our result mine?

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Enabling Carrier-Grade Availability Within a Cloud InfrastructureOPNFV

Aaron Smith, Red hat, Pasi Vaananen, Red Hat Carrier-Grade Cloud Infrastructure (Aaron Smith, Pasi Vaananen, Red Hat): The move from vertically integrated hardware and software to distributed execution in a cloud complicates the delivery of highly available services. Vertically integrated systems enabled all system layers required to communicate and participate in the support of availability of the service to be under control of single system vendor. With NFV, the cloud philosophy of infrastructure and application decoupling requires new open interfaces to support the necessary flow of information between layers and clear separation of the fault and availability management responsibilities between the infrastructure and application SW subsystems. Even in the cloud environment, traditional availability concepts such as fast detection, correlation, and fault notification still apply. A fast, low-latency fault management platform will be presented that allows cloud-based services to achieve 5NINES of availability and service continuity. Performance measurements from a prototype of the system will be presented along with a demo of the operation of a service requiring 50 ms fault remediation.

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OPNFV and OCP: Perfect TogetherOPNFV

Juha Kosonen, Nokia, Mika Rautakumpu, Nokia The Open Compute Project (OCP) is a collaborative community focused on redesigning hardware technology to efficiently support the growing demands on compute infrastructure. The designs have been optimized to lower cost of infrastructure and operations e.g. by removing non-essential components, disaggregating rack level solution with common resources, and simplifying server serviceability. OpenStack provides the foundation for the NFVI and MANO components within OPNFV. OPNFV releases Colorado and recent Danube have been successfully integrated to OCP hardware and running smoothly. Also hardware acceleration is supported. The concept itself has gained a lot of interest from mobile operators, some of them are running OPNFV on top of OCP hardware in their test laboratories too. This presentation will introduce how OpenStack, OCP and OPNFV open source projects fits perfectly together.

The Return of QTIP, from Brahmaputra to DanubeOPNFV

The document summarizes the story of the OpenStack community project QTIP, which benchmarks OpenStack platform performance. It describes how the project started, paused for 3 months, and then a new team resumed it by taking over as project leaders. They improved committer policies, refocused the project scope, and successfully transitioned and released QTIP in the Danube cycle. Key lessons learned included communicating with the original team, understanding the original purpose, pivoting when needed, and refactoring bravely when necessary.

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Sridhar Pothuganti, NXP, Trinath Somanchi, NXP Telco operators are on journey to discover what virtualization means for the network. Markets have believed that NFV architecture elements: NFVI and VIM, hold the complete responsibility in providing virtualized networks with carrier grade properties. Telco operators have reached to a conclusion that VNFs must take their fair share of responsibility to realize NFV goals while meeting carrier-grade behavior in the entire NFV architecture. While the trend moves on, Cloud native VNFs are emerging best citizens of the cloud. Thus communication from EMS to VNFM is blurred and eventually may disappear in the future. This requires better understanding of, and agreement over the role of VNFMs and EMS for VNFs. This presentation describes the evolution of Distributed VNF management, Architectural design considerations and Use-case scenarios. The following proposal is based on a comprehensive study on evolving cloud native VNF management.

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Sridhar Pothuganti, NXP, Trinath Somanchi, NXP Network security and reliability are the most challenging tasks in any cloud. With NFV and SDN in place, Network Functions are virtualzied and network traffic is managed in separated control and data planes. Thus reducing the operational and capital expenditure. Virtualized Network Functions are tied with Software Defined Networks to boost the power of virtualization. This itself is challenging when Network services and security is a concern. While OpenStack is the best opted solution for IaaS, many service provides are moving towards best solutions to deal with service delivery and security challenges in SDN and NFV integrated OpenStack Cloud. The Presentation outlines the challenges and proposes probable solutions for NFV and SDN integrated OpenStack Cloud.

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Shuya Nakama, Okinawa Open Laboratory / NEC Solution Innovators, Eric Chang, Institute for Information Industry, Hideyasu Hayashi, Okinawa Open Laboratory and NEC Solution Innovators, Torii Takashi, NEC Corporation and Okinawa Open Laboratory There are many countries in Asia region those have the motivation to innovate their telecom system and educate new technologies to young engineers. It is important how to encourage and involve these countries to OPNFV communities, and also educate to contribute to open source activities. In these session, we will introduce our trial to the issue. Okinawa Open Laboratories (OOL) in Japan and Institute for Information Industry (III) in Taiwan, have been doing joint research activities in these years about SDN/NFV area, and this year, we have connected each testbed using OPNFV. Over the distributed testbed, we have started our POC of NFV use cases such as vEPC, vCPE etc. We also have communication with several research and academic organization in Asia region, so we would like to connect each country’s testbed and expand our testbed to Asia region. There are many challenges, and we have learned from our experience, so in the session we will share the lessons learned from our trial. That will be good example for the whole community, and help progressing collaboration of global eco system.

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Doug Smith, Red Hat, Inc, Gergely Csatari, Nokia There is an anecdote about a tourist lost in the middle of the countryside in Ireland, who pulls over and asks a local, "How can I get to Galway from here?" To which the local, after thinking for some time, responds, "If I was going to Galway, I wouldn't start from here at all." Cloud native application development can feel like that sometimes, especially in the telecom industry. I have an application, it's running fine on a bare metal server, and now I am expected to make it resilient, scale-out, cloud native, microservice architecture, buzzword compliant. But how do you get there from where you are? This presentation will present the hero's quest, identifying the key constraint to cloud resiliency at each stage, and identifying measures for addressing them. By showing the evolution story from the perspective of two applications, including a real telecom application, this presentation addresses the practical problems. The approach is not "rewrite your app from scratch", it is refactoring for incremental improvements. Doug and Gergely will address the automation of application deployment and configuration, separation of state from behaviour, clustering, handling storage for cloud native applications, monitoring and event management, and container orchestration, so that, at each step along the journey, you know what problem you are solving, and how to get to the next step from where you are. This presentation is in addition to a series of workshops held at the summit sponsored by the Cloud Native Computing Foundation and organized by Dave Neary, and includes a short summary of the topics presented in those workshops in addition to the perspectives on how to complete the quest to cloud native applications.

OPNFV with 5G ApplicationsOPNFV

Juha Oravainen, Nokia, Tapio Tallgren, Nokia In the future factory robots will communicate wirelessly and cars on the highways will exchange the information with each other. This requires extremely low latency mobile networks, known as 5G. This network will run on telco grade cloud platforms of which OPNFV is one example. The first cloud radio access networks have already been deployed to operators. More is needed with future technologies/networks as more functionalities will be moved to the cloud. This talk tells what is needed to overcome low latency and high availability challenges with cloud platforms. At Nokia we are continuously evaluating the latest OPNFV SW on Nokia HW with radio VNFs to guarantee interoperability with open source components.

Test and perspectives on nfvi from china unicom sdn nfv labOPNFV

Junjie Tong, China Unicom This presentation explores our experience with the tests on NFVI in China Unicom's SDN/NFV lab.We have done the tests on both the hardware and VIM and discuss the lessones and painis about NFVI testing.We also discuss the sepcial requirements from NFV perspectives, what further improvements are needed for indusrty products and the working progress and plans on NFVI in China Unicom.

Automatic Integration, Testing and Certification of NFV in China MobileOPNFV

Qiao Fu, China Mobile, Liang Gao, Huawei As Operators expand their deployment of NFV, automatic integration, testing and compliance certification become more and more important. In this speech, we would like to share our experience and progress in the China Mobile OPNFV Testlab on an automatic system of integration, testing and certification. This system takes fully use of OPNFV opensource tools, including installers such as Compass, testing such as Functest and Yardstick, compliance testing such as Dovetail. Such automatic system extremely decreases the human cost of Operators when deploying and testing the NFV cloud before large scale deployment.

Faster, Higher, Stronger – Accelerating Fault Management to the Next LevelOPNFV

Yujun Zhang, ZTE Corporation, Carlos Goncalves, NEC Fault management is a component that allows operations teams to monitor, detect, isolate and automate the recovery of faults. With an efficient fault management system, countermeasures can negate the effects of any deployment faults, avoiding bad user experiences or violation of service-level agreements (SLAs). The OPNFV Doctor project has been developing fault management features that increases resiliency to cloud-based mobile platforms and provides system integration. The OPNFV Doctor team continues improving its framework, not only making fault management more reliable but also faster to satisfy Telco requirements. The 4G mobile system demonstrated at the OpenStack Summit Barcelona keynote featured already a double-digit millisecond fault notification. The team has identified scalability issues in and between relevant OpenStack projects and in conjunction with other open-source software. We will share performance figures, how we continuously profile and red-flag unexpected results (e.g. performance regressions). Finally, we will present solutions to make the overall OpenStack-based fault management framework even faster.

Fast datastacks - fast and flexible nfv solution stacks leveraging fd.ioOPNFV

This document discusses using Vector Packet Processor (VPP) to provide fast and flexible networking capabilities for NFV solution stacks. It introduces VPP as a high-performance virtual switch that can achieve high throughput even at large scale. VPP offers features like IPv4 and IPv6 routing, Layer 2 switching, and VXLAN tunneling with linear performance scaling across multiple CPU cores. The FastDataStacks project aims to integrate VPP into OpenStack-based NFV solution stacks to provide enhanced networking functions.

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The Return of QTIP, from Brahmaputra to DanubeOPNFV

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3. Outline • Challenges of the SDNVPN project • XCI patchset verification • Virtual testing setup • Functest test challenge

4. Integration Project (e.g. SDNVPN) ODL SDNVPN Fuel Apex • Consume many different Project • Different release dates • Different Bug tracking • Different source code handling • Different programming language • Etc.

5. Challenge of Integration Projects (e.g. ODL in OPNFV) ODL-Master time ODL-Release OPNFV-Integration •Bug finding ODL-Release Bug1 ODL-Stable Bug2 Bug1 Bug2 ODL-Master x • Bug 1 found and solved • Bug 2 found but not valid for master anymore • Bug 2 was not worth the effort • Bug 3 will not be found until next release ODL is consumed too late! Bug3

6. Challenge of Integration Projects (e.g. ODL in OPNFV) Developer A Bug 1 time ODL-Release ODL-Release Bug1 Integrator A • Dev A expert in Part of ODL • Int A expert in Fuel but doesn’t know much about ODL code base • Int A needs to find and understand the bug! • Int A need to talk to Dev A and explain the found bug • Might be Dev A does not even remember

7. Solutions • Solution 1: More test cases in consumed project • Integrator needs to convince and explain the test to Developer • Test case might be too E2Eish to be created in consumed project • Solution 2: XCI patchset verification • Automated integration (Consume latest state) • Fast feedback (reducing from months to < 1 hour) • No interaction from integrator

8. New Patchset (Commit) Create Virtual Testing Platform Download/Install new artifact Use standard testing framework e.g. Functest Build ODL artifact 10 min 15 min 35 min Unit test Installer Project e.g. Apex Snapshot 5 min Positive -> Merge commit Negative -> Prevent merge Investigate the logs/Find bugs ODL OPNFV Feedback

9. Bare Metal (48 threads/256 GB RAM/500 GB SSD) vJenkins slave vController vCompute vCompute vCompute Thread pool – 8 vCPU  10 GB Diskspace  40 GB RAM  Own OVS networks vJenkins slave vController vCompute vController vCompute Snapshot Controller vController vController vController Snapshot Compute vCompute vCompute vCompute ~ 100 GB Diskspace x6 • RAM and CPU limiting factor • Very low disk IO cause no installation process • ~2 mins until Openstack/ODL services up • Easy exchange of snapshot

10. Using the Snapshot vController vController vController Snapshot Controller vController vController vController ~ 100 GB Diskspace >1GB disk consumption per vHost • Using the base concept of qemu-img

11. CPU pinning • 4 • 3 8 vCPUs ? -> YES! – sharing is the key. • 1 time vJenkins slave vController vCompute CPU-Load Jenkins- Slave running 8 vCPU Start vCmp vCtrl Started vCmp vCtrl Testing started Testing more API Under- provisioned

12. Cpu pinning • Other vPod do not get effected

13. Networking • OVS for complete isolation • vPods using same IPs so every vPod has its own networks • Jenkins-slave for Gateway doing NAT vJenkins slave vController vCompute Bare metal host admin storage private public host NAT internet

14. Bare Metal (48 threads/256 GB RAM/500 GB SSD) vJenkins slave vController vCompute vCompute vCompute Thread pool – 8 vCPU  10 GB Diskspace  40 GB RAM  Own OVS networks vJenkins slave vController vCompute vController vCompute Snapshot Controller vController vController vController Snapshot Compute vCompute vCompute vCompute ~ 100 GB Diskspace x6 • RAM and CPU limiting factor • Very low disk IO cause no installation process • ~2 mins until Openstack/ODL services up • Easy exchange of snapshot

15. Example of application: Functest FUNCTEST pep8 unit tests pylint docs py35 py27 test new code on OPNFV deployment

16. Example of application: Functest • Functest bug might break CI • Needs a way to test each change before merging • Fast feedback to the commit owner • Easy to validate framework changes on Functest • Can be tested on a basic nosdn-nofeature scenario

17. Example of application: Functest Challenges: • Changes on Feature tests  need specific scenario deployed • Increase verification time of each patchset ( + time to build a docker image) • Identify where the change is (framework, test case, …) to trigger an appropriate test case

18. Thank You Nikolas Hermanns [email protected] Jose Lausuch [email protected]

Editor's Notes

#7: And yes odl is a great product but as any other project it has bugs But lets assume there are only 2 bugs in the release (I know hard assumption) Bug1 easy one change on stable and on master Bug2 Only valid on stable

Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Projects

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Editor's Notes