Monthly Archives: October 2018

Podcast – Rob Lalonde on HPC in the Cloud, Machine Learning and Autonomous Cars

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Joining us this week is Rob Lalonde, VP & General Manager, Navops at Univa.

About Univa

Univa is the leading independent provider of software-defined computing infrastructure and workload orchestration solutions.

Univa’s intelligent cluster management software increases efficiency while accelerating enterprise migration to hybrid clouds. We help hundreds of companies to manage thousands of applications and run billions of tasks every day.

 Highlights

  • 1 min 6 sec: Introduction of Guest
  • 1 min 43 sec: HPC in the Cloud?
    • Huge migration of workloads to public clouds for additional capacity
    • Specialized resources like GPUs, massive memory machines, …
  • 3 min 29 sec: Cost perspective of cloud vs local HPC hardware
    • Primarily a burst to cloud model today
  • 5 min 10 sec: Good for machine learning or analytics?
  • 5 min 40 sec: What does Univa and Navops do?
    • Cloud cluster automation
  • 7 min 35 sec: Role of Scheduling
    • Job layer & infrastructure layer
    • Diversity of jobs across organizations
  • 9 min 30 sec: Machine learning impact on HPC
    • Survey of Users ~ Results
      • Machine learning not yet in production ~ still research
      • HPC very much linked to machine learning
      • Cloud and Hybrid cloud usage is very high
      • GPUs usage for machine language
    • 15 min 09 sec: GPU discussion
      • Similar to early cloud stories
    • 16 min 00 sec: Concurrency in operations in HPC & machine learning
      • Workload dependency ~ weather modeling
    • 18 min 12 sec: People bring workloads in-house after running in cloud?
      • Sophistication in what workloads work best where
      • HPC is very efficient ~ 1 Million Cores on Amazon : Successful when AWS called about taking all their resources for other customers 🙂
    • 23 min 56 sec: Autonomous cars discussion
      • Processing in the car or offloaded?
      • Oil and Gas exploration example (Edge Infrastructure example)
        • Pre-process data on ship then upload via satellite to find information required
      • 29 min 12 sec: Is Kubernetes in the HPC / Machine Learning world?
        • KubeFlow project
      • 35 min 8 sec: Wrap-Up

Podcast Guest:  Rob Lalonda, VP & General Manager, Navops

Rob Lalonde brings over 25 years of executive management experience to lead Univa’s accelerating growth and entry into new markets. Rob has held executive positions in multiple, successful high tech companies and startups. He possesses a unique and multi-disciplined set of skills having held positions in Sales, Marketing, Business Development, and CEO and board positions. Rob has completed MBA studies at York University’s Schulich School of Business and holds a degree in computer science from Laurentian University.

Podcast – Dave Blakey of Snapt on Radically Different ADC

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Joining us this week is Dave Blakey, CEO and Co-Founder Snapt.

About Snapt

Snapt develops high-end solutions for application delivery. We provide load balancing, web acceleration, caching and security for critical services.

 Highlights

  • 1 min 28 sec: Introduction of Guest
  • 1 min 59 sec: Overview of Snapt
    • Software solution
  • 3 min 1 sec: New Approach to Firewalls and Load Balancers
    • Driven by customers with micro-services, containers, and dynamic needs
    • Fast scale and massive volume needs
    • Value is in quality of service and visibility into any anomaly
  • 7 min 28 sec: Engaging with DevOps teams for Customer interactions
    • Similar tools across multiple clouds and on-premises drives needs
    • 80% is visibility and 20% is scalability
    • Podcast – Honeycomb Observability
  • 13 min 09 sec: Kubernetes and Istio
    • Use cases remain the same independent of the technology
    • Difference is in the operations not the setup
    • Istio is an API for Snapt to plug into
  • 17 min 29 sec: How do you manage globally delivered application stack?
    • Have to go deep into app services to properly meet demand where needed
    • Immutable deployments?
  • 25 min 24 sec: Eliminate Complexity to Create Operational Opportunity
  • 26 min 29 sec: Corporate Culture Fit in Snapt Team
    • Built Snapt as they needed a product like Snapt
    • Feature and Complexity Creep
  • 28 min 48 sec: Does platform learn?
  • 31 min 20 sec: Lessons about system communication times
    • Lose 25% of audience per 1 second of website load time
  • 34 min 34 sec: Wrap-Up

Podcast Guest:  Dave Blakey, CEO and Co-Founder Snapt.

Dave Blakey founded Snapt in 2012 and currently serves as the company’s CEO.

Snapt now provides load balancing and acceleration to more than 10,000 clients in 50 countries. High-profile clients include NASA, Intel, and various other forward-thinking technology companies.

Today, Dave has evolved into a leading open-source software-defined networking thought leader, with deep domain expertise in high performance (carrier grade) network systems, management, and security solutions.

He is a passionate advocate for advancing South Africa’s start-up ecosystem and expanding the global presence of the country’s tech hub.

Podcast – Antonio Pellegrino on Infrastructure as Software at the Edge

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Joining us this week is Antonio Pellegrino, Founder & CEO at Mutable.

About Mutable
Mutable helps software developers create scalable and fast web services by automating DevOps and providing edge technology all around the world.

 Highlights

  • 0 min 35 sec: Introduction of Guest
  • 1 min 09 sec: Are you products edge-focused or just a market to promote to?
    • Building products to meet customers need for containers including edge
  • 2 min 58 sec: Sounds like a platform?
    • Developers create policies on latency, hardware needs, etc
  • 5 min 51 sec: Be aware of the location and structure of deployment hardware
    • Includes management and tracking of network traffic
    • Services see everything as one network even though it isn’t
  • 7 min 49 sec: Why not Kubernetes instead?
    • Kubernetes built for single network
  • 9 min 16 sec: Edge vs Core
    • Temporary services is a big factor in edge
    • HBO and Games of Throne example for supporting access to the feed
  • 13 min 45 sec: Edge is not infinitely elastic
    • Facial recognition example on iPhone
  • 17 min 53 sec: Algorithm to spin up services when needed not always available
  • 19 min 52 sec: How does software learn what to spin up and down
  • 21 min 22 sec: How do you manage storage?
    • Follows standard S3 storage model
  • 24 min 15 sec: NiCs are a core component ~ language for packet management
    • Sounds like a micro-kernel
    • Why people don’t leverage this concept more often?
  • 28 min 32 sec: Manipulate and manage networking at application layer
    • Mutable is building a full stack
    • Operator approach vs developer approach on networking
  • 33 min 21 sec: Control Plane challenges
  • 34 min 27 sec: What is the starting experience with Mutable like?
  • 35 min 55 sec: How is cable industry responding to edge computing?
    • Opportunity to deploy 5G
  • 39 min 23 sec: Wrap-Up

Podcast Guest: Antonio Pellegrino, CEO and founder if Mutable

Antonio is the CEO and founder of Mutable, the next generation platform as a service for microservices and distributed computing. He is a serial entrepreneur, and ran one of the largest e-sports streaming companies of its time. Antonio has built startups centered around developer tools for the past 8 years, saving their customers millions of dollars. Mutable has been a driver in microservices while distributed computing as we now it, allowing developers to push the application to the edge.

Podcast –Nick Alesandro on Blockchain, Edge, and Cloud Oh My!

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Joining us this week is Nick Alesandro, VP of Product at Overclock Labs; creators of The Akash Network.

About Overclock Labs

  • We believe the Cloud should be distributed and decentralized so that no one provider can control the internet.
  • We believe the cloud should be globally fault-tolerant to avoid any single points of failure.
  • We believe the Cloud should be simple, automated, and accessible for all.

About Akash Network

Decentralized protocol for provisioning, scaling and securing cloud workloads: The world’s only on-chain auction marketplace for off-chain container deployments

Highlights

  • 0 min 37 sec: Introduction of Guest
  • 2 min 28 sec: High level description of the technology
    • Cloud centralization is a problem; it needs to be decentralized
    • Take over 100% or a partial amount of a machine added to the cloud network with special CoreOS based system
  • 5 min 13 sec: Akash Network
    • Donate your idle servers into an available system for usage in a cloud managed by Overclock Labs
    • 2 Components – Blockchain for marketplace / Deployment platform
  • 6 min 52 sec: How does marketplace work; who wants to use this network?
    • Focus is on developers who want to use these systems
    • #1 Reason – Cheaper than standard public clouds ; #2 Reason – Its distributed globally not at fixed known sites
  • 10 min 26sec: Blockchain as decentralized ledger to avoid central store
    • Join the infrastructure without a formal registration on a single database; only listening for bids not publishing what they offer
    • History of the infrastructure is public for customers to evaluate
  • 12 min 31 sec: How do I know where I am pushing my workloads? Can I trust the infrastructure provider?
    • Issues arise with receiving workloads that are unknown to you
  • 16 min 38 sec: What do I do to add a rack of servers into Akash network?
    • What you need to do vs what you should do
    • Management Server, Network Isolation, Monitoring
    • Seasonal Load Model ~ Electric Grid Analogy
  • 20 min 23 sec: Identify Geography and Latency to Customers?
  • 21 min 23sec: What do I ensure I am not getting dropped or pulled into a bidding trap?
    • Workload goes down it automates a bid elsewhere in the network
    • Conditions can be set should you need a long running workload and it is terminated by the host
    • Do you expect providers to monitor machines or do you as a service?
  • 27 min 45 sec: Kubernetes Cluster across providers?
    • Kubernetes Federation
    • Why Kubernetes? Writing our own Kubernetes using Kubernetes
  • 31 min 55 sec: Why not do this with Virtual Machines?
    • Containers makes sense
  • 32 min 40 sec: How long have you been working on this project?
    • Why of the project? DISCO → Scheduler
    • Decentralization is the key
    • Can build a private infrastructure using their system
  • 37 min 01 sec: Wrap-Up

Podcast – Syed Zaaem Hosain on Edge, IoT, and Reality

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Joining us this week is Syed Zaeem Hosain, CTO and Founder of Aeris from the KeyBanc Emerging Tech Summit.

About Aeris
Aeris is a technology partner with a proven history of helping companies unlock the value of IoT. For more than a decade, we’ve powered critical projects for some of the most demanding customers of IoT services. Aeris strives to fundamentally improve businesses by dramatically reducing costs, accelerating time-to-market, and enabling new revenue streams. Built from the ground up for IoT and globally tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler.

Highlights

  • 0 min 48 sec: Introduction of Guest
  • 1 min 27 sec: Edge is already here for Aeris – Mobile Data Presence
    • Support customers who have a need for long distance data transport over cellular
    • Focused on device connectivity
    • Edge devices will have processing power of their own
  • 4 min 31 sec: Car as Edge Data Center Issues
    • Better to move processing off the car? Cost issue for sending data via cellular
    • Tire Pressure System Example
    • 5G Cost may not be dramatically lower as people expect
  • 7 min 24sec: Can’t Send all Data Back ~ Need Local Machine Learning
    • Great deal of irrelevant data (e.g. Tire pressure)
    • Can send lots of data to train models as well – Airplane example
  • 12 min 04 sec: Dave McCrory Podcast on Airplane Use Case / Data Gravity
    • Security in Data Gathering Algorithms – Must validate the source of data
    • Use of aggregated data to monitor data validity
  • 17 min 11 sec: Sharing of Data in Edge Models
    • Issues with Security, Ownership, etc of data
    • Windshield wipers on cars for weather info
    • Source of data – how participate in money chain?
  • 21 min 45 sec: Billing for Pennies is a Problem
    • Billing systems are in issue to track revenue
    • ROI in IoT space is an open issue
  • 23 min 36 sec: Blockchain can help here?
  • 25 min 21 sec: What is the ROI for adding more devices into IoT model
    • Medical sensors (skin monitoring, pressure points in eye for monitoring)
    • Human privacy is a massive issue in this space
  • 34 min 02 sec: BOOK – Definitive Guide to IoT for Business (Free)
  • 35 min 37 sec: Wrap-Up

Podcast Guest: Syed Zaeem Hosain, CTO and Founder of Aeris

Mr. Hosain is responsible for the architecture and future direction of Aeris’ networks and technology strategy. He joined Aeris in 1996 as Vice President, Engineering and is a member of the founding executive team of Aeris. Mr. Hosain has more than 38 years of experience in the semiconductor, computer, and telecommunications industries, including product development, architecture design, and technical management. Prior to joining Aeris, he held senior engineering and management positions at Analog Devices, Cypress Semiconductor, CAD National, and ESS Technology. Mr. Hosain is Chairman of the International Forum on ANSI‐41 Standards Technology (IFAST) and Chairman of the IoT M2M Council (IMC). He holds a Bachelor of Science degree in Computer Science and Engineering from the Massachusetts Institute of Technology, Cambridge, MA.