Joining us this week is Dave Blakey, CEO and Co-Founder Snapt.
Snapt develops high-end solutions for application delivery. We provide load balancing, web acceleration, caching and security for critical services.
- 1 min 28 sec: Introduction of Guest
- 1 min 59 sec: Overview of Snapt
- 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.
Joining us this week is Antonio Pellegrino, Founder & CEO at Mutable.
Mutable helps software developers create scalable and fast web services by automating DevOps and providing edge technology all around the world.
- 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?
- 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.
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
- 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?
- 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
Joining us this week is Ian Rae, CEO and Founder CloudOps who recorded the podcast during the Google Next conference in 2018.
- 1 min 55 sec: Define Cloud from a CloudOps perspective
- Business Model and an Operations Model
- 3 min 59 sec: Update from Google Next 2018 event
- Google is the “Engineer’s Cloud”
- Google’s approach vs Amazon approach in feature design/release
- 9 min 55 sec: Early Amazon ~ no easy button
- Amazon educated the market as industry leader
- 12 min04 sec: What is the state of Hybrid? Do we need it?
- Complexity of systems leads to private, public as well as multiple cloud providers
- Open source enabled workloads to run on various clouds even if the cloud was not designed to support a type of workload
- Google’s strategy is around open source in the cloud
- 14 min 12 sec: IBM visibility in open source and cloud market
- Didn’t build cloud services (e.g. open a ticket to remap a VLAN)
- 16 min 40 sec: OpenStack tied to compete on service components
- Couldn’t compete without Product Managers to guide developers
- Missed last mile between technology and customer
- Didn’t want to take on the operational aspects of the customer
- 19 min 31 sec: Is innovation driven from listening to customers vs developers doing what they think is best?
- OpenStack is seen as legacy as customers look for Cloud Native Infrastructure
- OpenStack vs Kubernetes install time significance
- 22 min 44 sec: Google announcement of GKE for on-premises infrastructure
- Not really On-premise; more like Platform9 for OpenStack
- GKE solve end user experience and operational challenges to deliver it
- 26 min 07 sec: Edge IT replaces what is On-Premises IT
- Bullish on the future with Edge computing
- 27 min 27 sec: Who delivers control plane for edge?
- Recommends Open Source in control plan
- 28 min 29 sec: Current tech hides the infrastructure problems
- Someone still has to deal with the physical hardware
- 30 min 53 sec: Commercial driver for rapid Edge adoption
- 32 min 20 sec: CloudOps building software / next generation of BSS or OSS for telco
- Meet the needs of the cloud provider for flexibility in generating services with the ability to change the service backend provider
- Amazon is the new Win32
- 38 min 07 sec: Can customers install their own software? Will people buy software anymore?
- Compare payment models from Salesforce and Slack
- Google allowing customers to run their technology themselves of allow Google to manage it for you
- 40 min 43 sec: Wrap-Up
Podcast Guest: Ian Rae, CEO and Founder CloudOps
Ian Rae is the founder and CEO of CloudOps, a cloud computing consulting firm that provides multi-cloud solutions for software companies, enterprises and telecommunications providers. Ian is also the founder of cloud.ca, a Canadian cloud infrastructure as a service (IaaS) focused on data residency, privacy and security requirements. He is a partner at Year One Labs, a lean startup incubator, and is the founder of the Centre cloud.ca in Montreal. Prior to clouds, Ian was responsible for engineering at Coradiant, a leader in application performance management.
Joining us this week is Mathew Lodge, SVP of Products & Marketing of Anaconda.
With over 6 million users, the open source Anaconda Distribution is the fastest and easiest way to do Python and R data science and machine learning on Linux, Windows, and Mac OS X. It’s the industry standard for developing, testing, and training on a single machine.
Anaconda Enterprise is an AI/ML enablement platform that empowers organizations to develop, govern, and automate AI/ML and data science from laptop through training to production. It lets organizations scale from individual data scientists to collaborative teams of thousands, and to go from a single server to thousands of nodes for model training and deployment.
- 2 min 57 sec: What does Anaconda do?
- Help data scientists be productive & enterprise AI / Data Science
- 3 min 36 sec: How do you interact with Anaconda?
- About 2.5 million downloads a month of Anaconda Distribution
- Install binary packages for data science to Python
- 5 min 55 sec: Who are data scientists?
- Data wrangling and understanding
- 9 min 12 sec: Data Science as a verb
- Understand how to turn data into actionable insight
- 10 min 47 sec: How learn to use the tools? Community!
- Community around Anaconda open source to share packages, etc
- 13 min 26 sec: How does Anaconda change as AI/Machine Learning improve?
- Python is standard language with R close behind for data science
- 14 min 58 sec: Reproducibility in results
- 16 min 01 sec: Model training issue?
- 17 min 16 sec: Parking lot on Sam Charrington’s AI Bias Podcasts
- 17 min 43 sec: Training models for limited sets of data for reliability in Edge
- Answer by example of Google ImageNet
- 20 min 14 sec: Optimizations to reduce processing requirements
- Hey Siri example on how iPhone works
- 22 min 03 sec: Do models improve over time? Transfer learning
- 22 min 30 sec: Accelerative Learning in AI
- Fashion example of layering learning
- Issues around lack of data for training
- 26 min 01 sec: Portability of models via Anaconda
- 26 min 48 sec: Cloud Native Model of AI (no longer 2004)
- Moved on from Java and distributed computing to Kubernetes
- 29 min 05 sec: Giving up data locality (Hadoop) & specialized hardware?
- 32 min 42 sec: Cloud model gives private and public options
- 34 min 23 sec: How Anaconda play into the Cloud Native data science model?
- Data scientists interested in data problems not cloud architecture
- Data science as a Service
- Kubernetes & Docker installed for you by Anaconda
- 38 min 05 sec: WRAP UP
Podcast Guest: Mathew Lodge, SVP of Products & Marketing of Anaconda
Mathew has well over 20 years’ diverse experience in cloud computing and product leadership. Prior to joining Anaconda, he served as Chief Operating Officer at Weaveworks, the container and microservices networking and management start-up; and previously as Vice President in VMware’s Cloud Services group. At VMware he was co-founder of what became its vCloud Air IaaS service.
Early in his career, Mathew built compilers and distributed systems for projects like the International Space Station, helped connect six countries to the Internet for the first time, and managed a $630m router product line at Cisco. At start-up CPlane he attempted to do SDN 10 years too early. Prior to VMware, Mathew was Senior Director at Symantec in its $1Bn+ information management group.
Joining us this week is James Ferguson, Director of Cloud Consulting, JBC Labs.
About JBC Labs
Looking to automate your cloud and on-prem solutions? Needing to see faster CI/CD on AWS, GCP or Azure? Or perhaps ETL processing that makes your team and users of information more productive? JBC Labs has provided solutions for over 20 years to companies big and small. Our solutions make you run faster, more fluid, and provide a spark to drive your innovation. Our team are certified cloud architects and solution providers ready to help you today.
• Overview of JBC Labs’ Jump Box Central Kubernetes Solution
• State of Kubernetes Today
• Concept of Kubernetes as an Application Platform
• Functions as a Service
• Service Mesh and Kubernetes
Topic Time (Minutes.Seconds)
Introduction 0.0 – 1.24
Jump Box Central Name? 1.24 – 2.06
Where are People Looking for Help in Kubernetes? 2.06 – 4.13
What Problem are you Looking to Solve? 4.13 – 6.15
What Else Needed to Make Kubernetes Successful? 6.15 – 10.18
Sell Services for Kubernetes? 10.18 – 12.09
Kubernetes Delivery Platform for Apps 12.09 – 15.37 (Hospital Example)
Why Function as a Service? 15.37 – 19.05
Does Variety of Options Slow Down Adoption? 19.05 – 20.05
Is FaaS an App for Kubernetes? 20.05 – 22.29 (PB & Chocolate)
Role of Service Mesh 22.29 – 29.06
Contact Information 29.06 – END
James Ferguson, Director of Cloud Consulting, JBC Labs.
James Ferguson has been involved in IT, Software Development and Business Management since 1992. During James Career he has created the worlds first mobile agnostic application for SAP and Oracle in the cloud, featured in Gartner and Forrester. Founded two companies and led many others. Industries James has helped companies ranging from Real Estate, Oil and Gas, Utilities, Finance, Insurance and Marketing. James currently helps customers as a principal architect and thought leader for the fortune 500 and SMB. James can be found on Linkedin, email, mobile, or out in the back country hiking.
Joining us this week is Scott Lowe, Staff Field Engineer at Heptio recorded at Interop ITX 2018. Scott is well known for his impact on virtualization and VMware, follow him at his weblog and podcast called The Full Stack Journey.
- Coming new to container space and view of infrastructure within the stack
- Why he chose Heptio and its transition up the stack away from virtualization
- Heptio strategy? Open source based
- Commercial strategy to support open source in Kubernetes
- Monetization of open source projects challenges
- Building applications to run on “standard” Kubernetes
Topic Time (Minutes.Seconds)
Introduction 0.0 – 2.28
Container Prerequisites 2.28 – 3.40
Infrastructure Story and Moving Up/Down Stack 3.40 – 4.55
Why Heptio and transition to containers? 4.55 – 9.10 (Approach to Kubernetes)
Heptio Trying to Plug “Holes in the Dam” – Strategy? 9.10 – 12.10
Open Source Engineering Sustainability 12.10 – 18.00 (No Fork)
Will Kubernetes Stabilize? 18.00 – 20.11
Community Models for Open Source 20.00 – 24.32
Consumers of Open Source need Pay for Support 24.32 – 27.17
Should ISVs write to Kubernetes Platform 27.17 – 32.03
20 years of VMware : time to become platform 32.03 – 34.35
Wrap Up 34.35 – END
Podcast Guest: Scott Lowe, Staff Field Engineer at Heptio
I’ve been in the Information Technology field for more than 25 years, starting out with desktop support. Along the way, I’ve worked as an instructor, a technical trainer and Microsoft Certified Trainer (MCT), a systems administrator, an IT manager, a system engineer, a consultant, as Chief Technology Officer (CTO) for a small start-up, as the practice lead for a national VAR’s VMware practice, as a forward-looking technologist for a large enterprise storage company, and—most recently—as a technologist for VMware focusing on network virtualization.
Currently, I work for Heptio as a member of the Field Engineering team, focusing on cloud computing, Kubernetes, and related technologies.