Improving POD Usage in Labs, CI and Testing

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Fatih Degirmenci, Ericsson, Jack Morgan, Intel The OPNFV community relies on our community labs, CI and testing projects to ensure we release quality code. The current strategies to use hardware resources in OPNFV community labs will not be able to sustain its current growth. New strategies need to be implemented to allow for new OPNFV projects. The presenters will look at the current lab usage model and discuss ways already being worked in OPNFV community labs through the POD descriptor file. In our CI process through Dynamic CI, Cross Community CI and other initiatives. In our testing projects use of hardware resources and its importance in the release process. The presenters will show current tools used to track usage such as the Bitergia dashboard.

Software

Improving POD Usage
in labs, CI and testing
Jack Morgan, Intel
Fatih Degirmenci, Ericsson

What is the problem
we are trying to solve?
As OPNFV community grows in the number of
installers, feature projects, and test activities…
we need to be getting more out of our current
OPNFV hardware resources…

OPNFV Community labs
Several community labs…
Geographically distributed…
Standard hardware configurations…
Multiple roles…
• CI Production (OPNFV releases)
• Testing
• Development
Organization Location POD
Linux Foundation Portland, Oregon, USA 5
China Mobile Beijing, China 1
Enea Kista, Sweden 2
Ericsson Rosenburg, Sweden 2
Huawei Xi an, China 1
Huawei Santa Clara, CA, USA 1
Intel Portland, Oregon, USA 14
Orange Lannion, France 1
Orange Paris, France 1
ZTE Shang Hai, China 1
CENGN Ottawa, Canada 1
Nokia Espoo, Finland 1
OOL Okinawa, Japan 1
BII Beijing, China 1
Flex Milpitas, CA, USA 1
Total 34

• Pharos Specification
• Jump server - virtualized OpenStack/OPNFV installer
• Controller/Compute nodes – for high availability
• Network topology – LOM, Admin, Public, Private and
Storage networks
• Remote management – OpenVPN + SSH access
• Hardware requirements
• Intel Xeon processor
• Minimum 32GB RAM
• 1TB HDD – OS and additional software/tools
• 1TB HDD – CEPH object store
• 100GB SSD – CEPH journal

• Network requirements
• Option I: 4x1G control, 2x40G data
• 4x1G for LOM, Admin/PXE boot, control plane, storage
• 2x40G (10G) for data network
• Option II: 1x1G control, 2x40G (10G) data
• 1x1G for control via VLANs
• 2x40G (10G) for data/storage via VLANs
• Option III: 2x1G control, 2x10G data, 2x40G storage
• 1x1G LOM, Admin/PXE boot
• 2x10G for control, storage
• 2x40G (10G) for data network
Source: http://artifacts.opnfv.org/pharos/docs/pharos-spec.html

CI Production: static model
• To support OPNFV release, each installer is currently allocated 2 POD
• What is the utilization of these community resources?
Installer POD POD
Apex intel-pod7 lf-pod1
Compass intel-pod8 huawei-pod1
Fuel ericsson-pod2 lf-pod2
Joid intel-pod5 huawei-pod12
Daisy pod1 pod2
Armada pod1 pod2

What else do we have?
• Build servers
• Servers for virtual deployments (vPOD)
• Test result server

How do we better use of labs we
currently have to support the growing
community needs?

• Replace static CI Production allocation with Dynamic Allocation

• Dynamic Allocation - Howto
POD
Descriptor
File
Scenario
Descriptor
File
OPNFV
Installer

POD Descriptor File
• Defines what hardware in in an OPNVF POD
• It is common and consistent between all installers
• Goal is for OPNFV installers to use these files natively
• Lab owners are working on creating these for OPNFV community labs
POD Descriptor File Convertor
• Converts POD descriptor files into installer specific format
• This effort is in progress and targeted to be done by end of June

What about the rest of the hardware resources?
• Automate setup, configuration, management
• Infrastructure as Code – use CM tooling – eg. Ansible
• Utilize containers
• Dynamically bring up/tear down resources
• Use the infra OPNFV puts together!
• OPNFV Cloud

Conclusions
• We need to follow basic principles and apply best practices
• Have clear strategy and vision to provide resources needed for the
current and future use cases
• Increase the resource utilization by having them allocated and used
dynamically
• Take part in solving problems by providing feedback, contributing, and
using what OPNFV Infra provides

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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.

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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.

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Timo Perala, Nokia, Michael Wiegers, Ericsson To further enhance Network Functions Virtualization (NFV) industrialization, Cisco, Ericsson, Huawei and Nokia announced Memorandum of Understanding (MoU) to create the NFV Interoperability Testing Initiative (NFV-ITI) last year December. The main objective of NFV-ITI is to promote competition and create industry alignment on generic principles for NFV interoperability testing and support for specific customer situations. NFV-ITI will focus on testing interoperability configurations of commercial NFV solutions actually used in the communication services providers' networks. The initiative is open for ratification by any NFV vendor subscribing to the objectives of the MoU. NFV-ITI will address NFV multi-vendor interoperability challenges for communication service providers, enabling them to optimize NFV deployment and integration costs, and reduce time-to-market for new services. NFV-ITI will complement and heavily build on other industry interoperability activities, including but not limited to those of OPNFV, ETSI NFV Testing WG, and NVIOT Forum.

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In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

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Improving POD Usage in Labs, CI and Testing

2. Improving POD Usage in labs, CI and testing Jack Morgan, Intel Fatih Degirmenci, Ericsson

3. What is the problem we are trying to solve? As OPNFV community grows in the number of installers, feature projects, and test activities… we need to be getting more out of our current OPNFV hardware resources…

4. OPNFV Community labs Several community labs… Geographically distributed… Standard hardware configurations… Multiple roles… • CI Production (OPNFV releases) • Testing • Development Organization Location POD Linux Foundation Portland, Oregon, USA 5 China Mobile Beijing, China 1 Enea Kista, Sweden 2 Ericsson Rosenburg, Sweden 2 Huawei Xi an, China 1 Huawei Santa Clara, CA, USA 1 Intel Portland, Oregon, USA 14 Orange Lannion, France 1 Orange Paris, France 1 ZTE Shang Hai, China 1 CENGN Ottawa, Canada 1 Nokia Espoo, Finland 1 OOL Okinawa, Japan 1 BII Beijing, China 1 Flex Milpitas, CA, USA 1 Total 34

5. • Pharos Specification • Jump server - virtualized OpenStack/OPNFV installer • Controller/Compute nodes – for high availability • Network topology – LOM, Admin, Public, Private and Storage networks • Remote management – OpenVPN + SSH access • Hardware requirements • Intel Xeon processor • Minimum 32GB RAM • 1TB HDD – OS and additional software/tools • 1TB HDD – CEPH object store • 100GB SSD – CEPH journal

6. • Network requirements • Option I: 4x1G control, 2x40G data • 4x1G for LOM, Admin/PXE boot, control plane, storage • 2x40G (10G) for data network • Option II: 1x1G control, 2x40G (10G) data • 1x1G for control via VLANs • 2x40G (10G) for data/storage via VLANs • Option III: 2x1G control, 2x10G data, 2x40G storage • 1x1G LOM, Admin/PXE boot • 2x10G for control, storage • 2x40G (10G) for data network Source: http://artifacts.opnfv.org/pharos/docs/pharos-spec.html

7. CI Production: static model • To support OPNFV release, each installer is currently allocated 2 POD • What is the utilization of these community resources? Installer POD POD Apex intel-pod7 lf-pod1 Compass intel-pod8 huawei-pod1 Fuel ericsson-pod2 lf-pod2 Joid intel-pod5 huawei-pod12 Daisy pod1 pod2 Armada pod1 pod2

8. What else do we have? • Build servers • Servers for virtual deployments (vPOD) • Test result server

9. How do we better use of labs we currently have to support the growing community needs?

10. • Replace static CI Production allocation with Dynamic Allocation

11. • Dynamic Allocation - Howto POD Descriptor File Scenario Descriptor File OPNFV Installer

12. POD Descriptor File • Defines what hardware in in an OPNVF POD • It is common and consistent between all installers • Goal is for OPNFV installers to use these files natively • Lab owners are working on creating these for OPNFV community labs POD Descriptor File Convertor • Converts POD descriptor files into installer specific format • This effort is in progress and targeted to be done by end of June

13. What about the rest of the hardware resources? • Automate setup, configuration, management • Infrastructure as Code – use CM tooling – eg. Ansible • Utilize containers • Dynamically bring up/tear down resources • Use the infra OPNFV puts together! • OPNFV Cloud

14. Conclusions • We need to follow basic principles and apply best practices • Have clear strategy and vision to provide resources needed for the current and future use cases • Increase the resource utilization by having them allocated and used dynamically • Take part in solving problems by providing feedback, contributing, and using what OPNFV Infra provides

15. Questions? Thank you for attending

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