Edge Computing – Page 6 – Cloud2030 Podcast

Adam Toll Solving Lag in Desktop Gaming at the Edge

Joining us this week is Adam Toll, Founder of Haste.

About Haste

Haste is a network optimizer for video games, reducing lag, packet loss, and jitter to improve your gaming experience.

Highlights:

Adam History in pre-CDN technologies, streaming music, and gaming lag issues
How Solve Lag Issues over Network
Quality of Service and Multi-Path
Challenges w/ Cached Content and Real-Time Content
Edge Management with Network Unpredictability

Time Tracking

0 min 50 sec: Introduction of Guest
- Background on Satellite Communication in Early Days Leading to CDN
- Early Streaming Music Technology Startup
- Angel Investing Period
8 min 8 sec: How to Fix Lag Issues?
- Early Web and Rich Media Challenges ~ Content Distribution Networks
- Haste Focused on Real-Time w/ User Generated Content that is Dynamic
- Overlay Network Architecture ~ Spend Bandwidth to Achieve Performance
13 min 14 sec: Quality of Service and Multi-Path
- Anticipatory Gaming – Action Timestamps
- Duplicating Traffic on 4 Separate Paths
- 3 Layers: Infrastructure, Suite of Software Defined Networking Tools, & Software on Gaming Machine Locally Installed
  - Caching Not Involved
- 21 min 24 sec: Challenges of Out-Of-Date CDNs
  - Critical Issues
    - Game Software Updates (Required) – Traditional CDN
    - Active Game Play Stream – Haste Manages w/ EDGE GRAVITY by Ericsson
  - Local Haste Service – Monitor Streams to Ensure Fastest Access to Various Game Servers
    - Ensure Awareness of Various Game Servers Availability
  - 28 min 52 sec: How Shape Edge Infrastructure Based on Network Unpredictability
    - Path Diversity is Significant
    - Improve ISP Delivery of Gaming Services by Adding Haste in ISP Networks
    - Dynamic Allocation of Gaming Services based on Player Location and Network Features
  - 39 min 23 sec: Wrap-Up

Podcast Guest: Adam Toll, Founder of Haste

Adam Toll is a Founder of Haste and focuses on alliances, future applications of Haste technology, and the strategic direction of the company. Adam was co-founder and COO of media startup BigChampagne which was acquired by Live Nation in 2011, and previously was a consultant in the satellite communications industry.

Software is Not Eating the World, it’s Dying

Rob Hirschfeld and Stephen Spector talk about the Software industry and how SaaS and other trends are killing the traditional software solution based on installation and management in your own data centers.

This is our 100th Podcast for L8istSh9y!

Recap of the Gaming Developers Conference 2019

Recap of the 2019 GDC event in San Francisco, CA last week. Our guests are Alan Evans, Sr Director Strategy, EDGE GRAVITY and Chetan Venkatesh, CEO, Marcometa.

Discussion includes thoughts on the Google Stadia announcement, Cloud Native development for gaming, and our thoughts on Genvid who we all agreed had standout technology.

Sastry Malladi on Edgification and Real-World IoT Deployments

Joining us this week is Sastry Malladi, CTO, FogHorn.

About FogHorn

FogHorn is a leading developer of edge intelligence software for industrial and commercial IoT application solutions. FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premises edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as smart grid, smart city, smart building and connected vehicle applications. FogHorn and Lightning are trademarks of FogHorn Systems. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Highlights:

FogHorn Data Aggregation Technology for Devices
Edge is Constrained
Containers are Standard
IoT Standard Environment
Autonomy at the Edge
Edge Architecture Tradeoffs
Machine Learning

Time Stamp

0 min 45 sec: Introduction of Guest
2 min 47 sec: Purpose of FogHorn Software
- Data aggregation from many devices
- PLC – Industrial Controller
- How is FogHorn added into a device? Containers
  - Can become a full gateway
- 7 min 58 sec: Edge is a Constrained Environment
  - How make sure environment has latest code? Container Processes
  - FogHorn assumes Edge devices can run Containers
    - Only issue with handheld devices (e.g. Android)
  - 12 min 52 sec: What will be standard in an IoT environment?
    - Sensor Protocols
    - Real-Time Processing of the Data (AI, Deep Learning, etc)
      - “Edgification”
    - Publication Layer
    - GOAL – Autonomy at the Edge
  - 18 min 39 sec: Are Decisions Close to Edge? Architecture Decisions?
    - Process where the data is
    - Move to predictive analysis
    - Aggregation of Information from Multiple Devices
  - 26 min 07 sec: Is Machine Learning a Component?
    - Process of Edgification
  - 30 min 41 sec: Wrap-Up

Podcast Guest: Sastry Malladi, CTO, FogHorn

As CTO of FogHorn, Sastry is responsible for and oversees all technology and product development. Sastry is a results-driven technology executive with deep technology and management experience of over two and half decades. His areas of expertise include developing, leading and architecting various highly scalable and distributed systems, in the areas of Big Data, SOA, Micro Services Architecture, Application Servers, Java/J2EE/Web Services middleware, and cloud Computing to name a few.

Prior to joining FogHorn as CTO, Sastry was Chief Architect of StubHub, an eBay company, where he led the technology architecture transformation and also spearheaded the Big Data initiatives and data driven decisions. Sastry was also a key technology executive at eBay leading the technology re-platforming effort from its monolithic architecture to the distributed, and scalable service-oriented architecture enabling business growth. Prior to joining eBay, Sastry was co-founder and CTO of OpenGridSolutions, founding member and architect at SpikeSource, and an architect at Oracle.

Sastry frequently speaks at many technology conferences, contributes to many standards and has several patents under his belt. He holds a master’s degree from I.I.T, Kharagpur, India.

Cloud Don on Service Mesh and Edge Federation

Joining us this week is Sriram Subramanian, Founder and Principal Analyst, CloudDon.

About Cloud Don
Sriram Subramanian is an independent analyst catalyzing modern enterprise IT Transformations. His primary area of coverage is how cloud computing/ container technology based services are impacting modern enterprise IT. His representative clients include vendors such as Red Hat, Microsoft, HPE, and end users in retail, fin tech and healthcare.

Service Mesh Event (18 min 45 sec)

Service Mesh Day : March 28 – 29, 2019
Fairmont Hotel in San Francisco

Highlights:

Thoughts on late 2018 AWS ReInvent and KubeCon (Software vs SaaS)
Vendor Lock-In Hype
Service Mesh
Edge Computing

Highlights

0 min 16 sec: Introduction of Guest
1 min 33 sec: Impressions from AWS ReInvent and KubeCon 2018
- Software vs SaaS
9 min 00 sec: Services Spun up Inside Kubernetes vs Vendor Lock-in
- Over Hype of Vendor Lock-In?
12 min 38 sec: Service Mesh
- Why do I need Service Mesh on Kubernetes?
- Enable Cloud-Native Paradigms
- Kubernetes is not the Answer to Everything
20 min 35 sec: Data Center Environment and Edge Computing
- Is Kubernetes assumed for Edge?
- LF Edge Announcement Podcast
- Federation
30 min 21 sec: Wrap-Up

Daniel Lizio-Katzen on Serverless in the Enterprise

Joining us this week is Daniel Lizio-Katzen, CEO Galactic Fog.

About

Galactic Fog was founded in 2014 by veteran engineers with the goal of streamlining application development. As engineers, we have spent years designing, building and deploying applications for both startups and large enterprises. At Galactic Fog, one of our goals is to provide a platform for us to contribute back to the developer community by open-sourcing many of our foundational components.

Galactic Fog’s core mission is to provide the systems that enable the design, development and cross-cloud operation of cloud-native apps through the use of enterprise grade function-as-a-service (FaaS) and container-as-a-service (CaaS) technologies. These apps should be resilient and declaratively integrated into any complex environment or configuration.

Highlights:

Function as a Service and Events
Operational Experience
Next Generation API Gateways
DevOps and Enterprises
Kubernetes as an Enterprise Platform
Edge is part of Galactic Fog

Time-Line

0 min 36 sec: Introduction of Guest
0 min 51 sec: Background on Daniel and Galactic Fog
3 min 22 sec: How heterogeneous is the event driven space?
- Event data mapping is not standard
6 min 0 sec: What are the correct patterns for event systems?
- FaaS Engine must be Tunable
8 min 15 sec: Operational Experience in FaaS
- Integration into someone’s environment
- Focused on enterprise developers – platforms must be tunable for variety of solutions using serverless
14 min 52 sec: Next Generation of API Gateways
- Future is Istio
- Enterprise does not want DevOps but rather Managed Kubernetes
17 min 15 sec: DevOps, Developers, and CI/CD Pipelines
- How do you help sustain an app with thousands of moving parts?
- Microservices architecture is difficult
27 min 51 sec: Is Kubernetes Ready for Enterprise as a Platform?
- Still in early stages
- Opens software company options for platforms
32 min 24 sec: Edge Computing and Galactic Fog?
34 min 23 sec: Wrap-Up

Arpit Joshipura on Linux Foundation Launch of LF Edge

Joining us this week is Arpit Joshipura, general manager, The Linux Foundation.

About LF Edge

LF Edge is a new umbrella organization that aims to establish open, interoperable frameworks for edge computing independent of hardware, silicon, cloud, or operating system. Launched in January 2019, LF Edge is comprised of existing Linux Foundation projects Akraino Edge Stack, EdgeX Foundry, and Open Glossary of Edge Computing, as well as the new Project EVE from ZEDEA and Home Edge Project from Samsung Electronics.

Highlights:

LF Edge Introduction
Collaboration b/w LF Edge and other Open Source Communities
Specific Projects in LF Edge at Launch
Difference b/w LF Foundation and OpenStack Foundation
Engaging with the LF Foundation
Telco Involvement

Time-Line

0 min 12 sec: Introduction of Guest
1 min 10 sec: Why did Linux Foundation decide it was time for Edge?
- Umbrella Project – collection of similar areas
2 min 34 sec: Open Glossary of Edge Computing Project
- Wikipedia Style Definitions for Edge Terminology
- Podcast: State of the Edge Report
4 min 35 sec: What is the scope of LF Edge?
- 4 Different Silos (IoT, Cloud, Enterprise, Telco)
- Latency is Critical for App Definition for Edge
7 min 20 sec: Interplay b/w Umbrellas, Projects, and Consortiums
- Mobile Edge Computing (MEC)
- LF Edge Blueprints
11 min 16 sec: Specific Technologies in LF Edge
- 5 Projects at Start
17 min 28 sec: Is there a Core Project for LF Edge?
19 min 42 sec: OpenStack Foundation vs LF Edge and How Managed
22 min 15 sec: How do other proprietary Platforms interact with LF Edge?
24 min 40 sec: Telco Involvement
32 min 09 sec: Wrap-Up

Podcast Guest: Arpit Joshipura, general manager, The Linux Foundation

Arpit Joshipura brings over 25 years of networking expertise and vision to The Linux Foundation, with technical depth and business breadth. He has instrumented and led major industry disruptions across enterprises, carriers, and cloud architectures, including IP, broadband, optical, mobile, routing, switching, L4-7, cloud, disaggregation, SDN/NFV, and open networking, and has been an early evangelist for open source. Arpit has served as CMO/VP in startups and larger enterprises, including Prevoty, Dell/Force10, Ericsson/Redback, ONI/CIENA, and BNR/Nortel, leading strategy, product management, marketing, engineering, and technology standards functions.

Jeff Kim on Stateful Application Data and Kubernetes Integration at Edge

About Kmesh

Kmesh.io sells software that transforms your centralized data into distributed data, which operates over multiple clouds, countries and edges as a single global namespace. Customers configure their business rules / data orchestration policies through the Kmesh portal and easily deploy their data over any cloud (production data on prem, backup data on AWS, AI/ML data on Google, IoT data on the Edge etc.)

Highlights:

· Kubernetes Challenges for Stateful Data

· Managing Stateful Data across Multiple Edge Devices

· How Kmesh works with Luster ~ New Global Data Models

· Kubernetes Limitations with Storage

Timeline

· 0 min 24 sec: Introduction of Guest

· 2 min 36 sec: Data and Distributed Storage in Kubernetes Story

o Kmesh operates at Data Layer not App Layer as Kubernetes does

o Kubernetes is not the be all end all

o Kmesh arriving in parallel with Kubernetes (2.5 years old) — started as Luster as a Service for HPC

· 7 min 13 sec: How does Data Storage and Container Mgmt Come Together?

o Kubernetes has no state ; Data for Apps often times requires state

o Storing data with Kubernetes is a challenge — location, security, etc.

o Example: Car on road sending real-time data to Edge which has it connecting to various edge devices which need to have data properly ordered, managed, etc

· 10 min 34 sec: How manage multiple edge devices and data state across them

o Luster is low-latency, high-ops technology

o Ported Luster into cloud and edge environments

o Do you put the data in the right spot to take advantage of data store?

o Data duplication issues? Metadata is the key

· 19 min 24 sec: What does Kubernetes need to do to take advantage of this technology?

o Kmesh offers customer plug-in for Kubernetes

o Storage advancements in Kubernetes is limited

o How make Kubernetes workload better understand data?

· 27 min 02 sec: How does SaaS play into distributed data?

o Control plane vs Data plane

· 29 min 31 sec: Wrap-Up

Lee Atchison on Edge impact on DevOps, Edge vs Cloud Scale, and other Challenges

Joining us this week is Lee Atchison, Sr. Director of Strategic Architecture, New Relic. Author of Architecting for Scale on O’Reilly (link is not a tracked URL) and recent speaker at AWS ReInvent ’19 – Cloud Computing in an Edge World.

About New Relic

New Relic gives you deep performance analytics for every part of your software environment. You can easily view and analyze massive amounts of data, and gain actionable insights in real-time. For your apps. For your users. For your business.

Highlights:

Impact of Edge on DevOps (People / Process / Tools)
No DevOps Shortcuts for Edge
Scaling Issues b/w Cloud and Edge
Application Updates at the Edge
Environment Awareness

Timed Content

0 min 43 sec: Introduction of Guest
3 min 30 sec: Keys to Edge Computing
- People are afraid of Edge
- Edge is not new; already in the marketplace
5 min 49 sec: Who is afraid?
- Application Management Layer
- DevOps Operation Teams / Edge Changes DevOps
8 min 43 sec: Automation is Key for Edge
- Cheating of process won’t cut it for the Edge
- Source of fear is knowing that scale for Edge is massive
11 min 14 sec: New Technologies but Similar Processes
- Idea of Scaling (Cloud is Vertical) (Edge is Horizontal)
- Edge has restricted resources unless cloud which is elastic
- Think of Edge examples like single page browser app
20 min 51 sec: Application Updates at the Edge
- Challenges for App Monitoring
28 min 18 sec: Edge Apps can’t Abstract too Much
- Data Collection is key and need Direct Access
- Must be Aware of the Environment
31 min 25 sec: Wrap-Up

Podcast Guest:

Lee Atchison, Sr. Director of Strategic Architecture, New Relic

Lee is Senior Director of Strategic Architecture at New Relic, where his job is to understand and drive the industry in the areas of cloud architecture, microservices, scalability, and availability. He is the author of the O’Reilly book Architecting for Scale and author of the blog Lee@Scale. Lee has 28 years of industry experience and over a decade of building high-scale Web applications, having worked for seven years at Amazon and four at New Relic.

2018 Podcast Wrap-Up

Rob Hirschfeld and Stephen Spector, your L8istSh9y Podcast Team, wrap up 2018 with some overall thoughts of the past year of Podcasts and a quick preview of 2019 content and planning.