Introduction of k8s-cluster-simulator

•

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Daisuke Taniwaki

Yahoo! JAPAN MEETUP #32 / Kubernetes Meetup Tokyo #19にてk8s-cluster-simulatorを紹介しました。

Introduction of
k8s-cluster-simulator:
A simulator for evaluating Kubernetes schedulers
Daisuke Taniwaki, Engineer
Preferred Networks, Inc.
2019/5/31 Yahoo! JAPAN MEETUP #32

Self Introduction
谷脇大輔 (Daisuke Taniwaki)
職歴
2008~2012 Trend Micro - Developed a web crawler which looked for undiscovered threats
2012~2014 Kakaku.com - Launched Tabelog US web service
2014~2017 Kaizen Platform - Developed Kaizen Optimization Platform
2017~Present Preferred Networks - Developing tools and systems for GPU clusters
技術領域 dtaniwaki
dtaniwaki
2

The GPU Cluster of Preferred Networks
Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs: https://www.preferred-networks.jp/en/news/pr20190318

Our Custom Pod Scheduler
- Concerns for Our Scheduler
- Resource usage efficiency
- Job priorities
- User fairness
Icons by Noto Emoji Smileys Icons by Google http://www.iconarchive.com/show/noto-emoji-smileys-icons-by-google.html
- We should not change the scheduling algorithm so
often.
- Testing new scheduling algorithm in the production
environment is risky.

k8s-cluster-simulator
https://github.com/pfnet-research/k8s-cluster-simulator
Shingo Omura Daisuke TaniwakiHidehito Yabuuchi

Architecture

High-level Class Diagram
Design user
behaviors flexibly.
Test your scheduler w/
minor modifications.

Blog post:
https://preferredresearch.jp/2019/04/11/k8s-cluster-simulator-release/

Develop a great scheduler for ML jobs!
Hopefully with us!

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

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The Digital Insurer

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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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2024: Domino Containers - The Next Step. News from the Domino Container commu...

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A Beginners Guide to Building a RAG App Using Open Source Milvus

A Beginners Guide to Building a RAG App Using Open Source Milvus

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Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

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MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

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Introduction of k8s-cluster-simulator

1. Introduction of k8s-cluster-simulator: A simulator for evaluating Kubernetes schedulers Daisuke Taniwaki, Engineer Preferred Networks, Inc. 2019/5/31 Yahoo! JAPAN MEETUP #32

2. Self Introduction 谷脇大輔 (Daisuke Taniwaki) 職歴 2008~2012 Trend Micro - Developed a web crawler which looked for undiscovered threats 2012~2014 Kakaku.com - Launched Tabelog US web service 2014~2017 Kaizen Platform - Developed Kaizen Optimization Platform 2017~Present Preferred Networks - Developing tools and systems for GPU clusters 技術領域 dtaniwaki dtaniwaki 2

3. The GPU Cluster of Preferred Networks Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs: https://www.preferred-networks.jp/en/news/pr20190318

4. Our Custom Pod Scheduler - Concerns for Our Scheduler - Resource usage efficiency - Job priorities - User fairness Icons by Noto Emoji Smileys Icons by Google http://www.iconarchive.com/show/noto-emoji-smileys-icons-by-google.html - We should not change the scheduling algorithm so often. - Testing new scheduling algorithm in the production environment is risky.

5. k8s-cluster-simulator https://github.com/pfnet-research/k8s-cluster-simulator Shingo Omura Daisuke TaniwakiHidehito Yabuuchi

6. Architecture

7. High-level Class Diagram Design user behaviors flexibly. Test your scheduler w/ minor modifications.

8. Blog post: https://preferredresearch.jp/2019/04/11/k8s-cluster-simulator-release/

9. Develop a great scheduler for ML jobs! Hopefully with us!