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
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.
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.
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
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
Anaconda Con Videos
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.
Digital Rebar Provision (DRP) is the perfect technology partner for Ansible customers looking to automate their infrastructure setup before applying their orchestration tool of choice. DRP automatically generates a complete inventory of provisioned infrastructure which is a must have for Ansible to complete its orchestration. In addition, DRP is able to deploy Kubernetes clusters using Ansible and Kubespray as part of its standard Workflow automated process.
Together, DRP and Ansible enhance the automation, repeatability, and transparency for DevOps teams.
Learn more about DRP and Ansible in the demonstration video and podcasts below.
Demonstration Video of Kubespray with Digital Rebar Provision:
Learn more about Digital Rebar Provision and Ansible in this podcast:
Learn more about Digital Rebar Provision, Ansible and Kubernetes installation with Kubespray in this podcast:
Welcome to the RackN and Digital Rebar Weekly Review. You will find the latest news related to Edge, DevOps, SRE and other relevant topics.
RackN Solutions – Automation
Automation is not simply taking manual tasks and replacing them with a machine. Rather, it is a methodology to assemble hardware and software infrastructure in a reliable, repeatable way saving time and effort. Automation also provides IT teams with the capability to rapidly meet new business challenges, learn new technologies, and reduce fire drills rather than spending significant cycles manually pushing buttons.
L8istSh9y Podcast on DZone
Jordan Rinke on Open Source, Kubernetes, and Edge Computing
On occasion the DZone / Cloud Zone site selects content from the RackN Blog to promote to their audience. Our recent post on Jordan Rinke’s podcast is a recent selection. Full Post
Behind scenes for O’Reilly book and choice of cover animal
Infrastructure and CNI approach
State and Immutability / Immutable VM
Terraform and Kubernetes
The Why of Immutability
Infrastructure as Software (Netflix)
Site Reliability Engineering and DevOps
Topic Time (Minutes.Seconds)
Introduction 0.0 – 2.11
TechNative Podcast on writing book 2.11 – 2.45
Cover of Cloud Native book 2.45 – 4.52 (Andean Condor)
Why is infrastructure a dead carcass? 4.52 – 5.38 (Shift and lift is not enough)
Describe your approach to infrastructure 5.38 – 8.40
Maintain state with immutability 8.40 – 13.14 (Containers don’t mean cloud native)
Immutable VM 13.14 – 18.55
Terraform 18.55 – 21.55
Kubernetes 21.55 – 27.52 (Helm example)
Observability 27.52 – 35.32 (Prometheus)
Immutability and Why 35.32 – 38.08 (Repository dependencies)
Infrastructure as Software 38.08 – 40.33 (Chaos engineering)
Google SRE Book 40.33 – 44.11 (Build empathy vs everyone as dev)
Wrap Up 44.11– END
Justin loves open source almost as much as he loves community. He is not a fan of buzz words but searches for the patterns and benefits behind technology trends. He frequently shares his findings and tries to disseminate knowledge through practical lessons and unique examples. He is an active member in many communities and constantly questions the status quo. He is relentless in trying to learn new things and giving back to the communities who have taught him so much.