The Enterprise AI Show

Latest Episodes:

Managing Unstructured Data in the Cloud Apr 14, 2021

Show notes

Paige Hinckley, (Sr. Director Global Alliances & GTM @Qumulo) talks about the evolution of scalable file and unstructured data in the public cloud.

SHOW: 506

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SHOW NOTES:

Qumulo Homepage: Manage File Data at Scale, Anywhere
Test Drive Qumulo: Try Qumulo for free, no downloads or setup required

Topic 1 - Welcome to the show. Before we jump into discussing data in the cloud, let’s talk a little bit about your background, as you’ve been at the center of several recent technology transitions?

Topic 2 - Let’s start by understanding how the use of file data has changed over the years. So many applications involve video, or huge data lakes for analytics, or massive content repositories for research. How has the scale evolved over the years?

Topic 3 - Qumulo does some very unique things around scalability and performance that are very critical for industries like media/entertainment, healthcare, research. What are some of the use cases that best take advantage of Qumulo Q Cloud?

Topic 4 - As you work with companies moving file data to the cloud, what are some of the tips and lessons you’ve seen that lead to faster success?

Topic 5 - How does Qumulo work with partners in the tech industry to bring your innovation to customers?

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Lessons Learned from docker Apr 11, 2021

Show notes

The docker project evolved out of the PaaS movement, unlocking polyglot cloud-native applications. But it was only a piece of the puzzle to enable platforms, applications and a broader ecosystem. What lessons can be learned from the docker ecosystem?

SHOW: 505
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SHOW NOTES:

HOW DID docker/DOCKER EVOLVE?

Between 2008 and 2013, dozens of PaaS platforms emerged. Within the platform, they all had a model for allocating compute resources, mostly through the use of Linux LXC and cGroups -- what would become containers. dotCloud was the PaaS company started by Solomon Hykes that eventually became Docker.

LESSONS LEARNED FOR THE FUTURE

Containers were a fundamental building block for next-gen applications and platforms.
Docker/docker created a massive community of users, but frustrated the ecosystem of partners.
Project / Company naming conflicts are very hard to resolve (“docker” vs. “Docker”)
Successful ecosystems allow a broad set of participants to monetize different elements of the technology. Not having a monetization model is not a good plan.
Docker was the last software company to not monetize through offering a managed/SaaS cloud service.

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DevOps Efficiency through Integration Apr 07, 2021

Show notes

Brendan O’Leary (@olearycrew, Sr. Dev Evangelist @GitLab, CNCF Board) talks about Developer Productivity, how to improve flow, integrated tool chains, and tips to improve organizational dynamics.

SHOW: 504

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SHOW NOTES:

GitLab Homepage

Topic 1 - Welcome to the show. Software supply-chains have been in the news quite a bit lately. Before we get into that, tell us about your background and what gets you passionate about developer productivity?

Topic 2 - Let’s talk about “the State of Developer Productivity” in 2021. What are developers able to do well, and where are their big bottlenecks today?

Topic 3 - I constantly get questions of “do we fix this with better tools, or better organizations. I’m pretty sure the answer is a combination of both, but do you see one side or the other having a bigger impact?

Topic 4 - GitLab does a very good job bringing together the tools developers need across the software-supply chain. When do you see an integrated “platform” gain more adoption, and when does the developer desire for “pick our tools” tend to stay in place?

Topic 5 - Is the Solarwinds hack making a lot of companies rethink how they build software?

Topic 6 - What are some of the best tips you have to help developer teams get more efficient, more productive?

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Simpler Clouds on the Horizon Apr 04, 2021

Show notes

Cloud was supposed to make computing easier, but it’s now as complicated or more complicated than legacy data centers and apps. Is there any future in a simpler cloud?

SHOW: 503
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SHOW NOTES:

DigitalOcean has an IPO

SIMPLIFYING CLOUD

APPLICATIONS - SaaS, RPA, Low-Code and PaaS v2

Small Business as-a-Service
Multinational Business-as-a-Service
DemandGen-as-a-Service

PRICING - Cost Management has its own complex ecosystem

The cloud bill is always an unknown

INTERCONNECTING SERVICES - Are the APIs easy enough to integrate

Mulesoft, Red Hat Integration, Apigee, etc. for the older stuff
Is cross-SaaS integration easy enough?

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Reliability as a Service Mar 31, 2021

Show notes

Alex Hidalgo (@ahidalgosre, Director of SRE at @nobl9inc) talks about the evolution of SRE teams, implementing SLOs, and enabling AppDev and Ops teams to better manage reliability.

SHOW: 502

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Qumulo Homepage: Manage File Data at Scale, Anywhere
Test Drive Qumulo: Try Qumulo for free, no downloads or setup required

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:

Nobl9 Homepage
The SLO Book - Implementing Service Level Objectives

Topic 1 - Welcome to the show. Congratulations on the launch of Nobl9. Before we get into that, let’s talk about your background and what got you focused on SREs and SLOs.

Topic 2 - We’ve spoken about the role of SRE quite a bit the last few years, but not as much about SLOs - and how to achieve them. Paint us some broad brush strokes about the world of SLOs today, and how they are different from SLAs or other commonly used measurements and metrics.

Topic 3 - So how do we start taking the SLO concepts and start making them actionable?

Topic 4 - How does a move to a SLO-centric model change the AppDev or the Ops teams?

Topic 5 - Is there a “low-hanging fruit” in an adoption of SLO-centric capabilities, or does it take quite a bit of top-down and bottom-up change?

Topic 6 - What’s a good way to get started with the Nobl9 platform?

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Three Types of Technology Leaders Mar 28, 2021

Show notes

Technology leaders have many different focus areas and motivations. On today’s show, we’ll discuss three common types of leaders - Visionaries, Maintainers and Resume-Builders.

SHOW: 501
SHOW SPONSORS:

CBT Nuggets: Expert IT Training for individuals and teams
Sign up for a CBT Nuggets Free Learner account
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Visit the JumpCloud Homepage. Email press@jumpcloud.com for a FREE JumpCloud T-Shirt.
Datadog Security Monitoring Homepage: Modern Monitoring and Analytics
Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt.
See how O’Reilly online learning can help your tech teams. Request a free demo now.

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

Three types of product leaders (via @shreyas)
Pioneers, Settlers and Town Planners (from Geek Whisperers)

THREE TYPES OF TECHNOLOGY LEADERS

VISIONARIES | TRANSFORMERS

Speak in stories, painting big pictures.
Truly understand the overall business, the broader markets, and the potentially changing landscapes ahead over both the near-term and long-term
Understand the timing of the markets and when change is needed vs. nice-to-have
Understand the breadth of competitive threats to the business
Understand both opportunities and opportunity costs

MAINTAINERS | PROTECTORS

Would like to be a visionary, but always default back to focusing on re-optimizing legacy investments
Tend to believe that all decisions are build vs. buy. Aren’t focused on creating longer-term partnerships
Run long RFI processes vs. creating a mindset of incremental experimental scenarios.
Have a protectionist mindset (“avoid vendor lock-in”) with new opportunities, but don’t release that with sunk costs.

RESUME BUILDERS

Recognize that the world is moving fast (lots of new technologies, business models), but aren’t in an optimal starting position.
Establish a big, audacious goal that portrays a visionary mindset.
Establish an “everything” or “all-inclusive” policy, even when it doesn’t make economic sense.
The old 5yrs of building an ERP system is now the 2yrs of transforming to the cloud. Springboard to build the resume without finishing the project.

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From Engineer to Technology Leadership Mar 24, 2021

Show notes

Nick Weaver (@lynxbat, VP Architecture, Innovation, Data/Analytics at @Dicks) talks about the journey from engineer to technology leader within large corporations, the challenges of leading teams during COVID, and the realities of digital transformation.

SHOW: 500

SHOW SPONSOR LINKS:

Qumulo Homepage: Manage File Data at Scale, Anywhere
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CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:

Eps.400 - Many Paths of an Engineering Journey (Nick Weaver)
Technology at Dick’s Sporting Goods

Topic 1 - Welcome back to the show. It’s been almost two years. What are you up to these days?

Topic 2 - The last 5-6 years, you’ve really embraced moving from being a hard-core, hands-on engineer to being a leader of very large technology teams, projects and initiatives. Walk us through some of the new muscles developed, some of the unexpected, and some of the stuff you still need to figure out.

Topic 3 - When you were at Nike, you lived through a legitimate “digital transformation”, both in how the company engaged with the market, but also how you dealt with suppliers/vendors. Help us understand some of the dynamics in going through those changes.

Topic 4 - We all know lots of people on the vendor side of things, and how those dynamics work as people compete, collaborate or change companies. How does that work amongst “customers”, either in the same industry or cross-industry?

Topic 5 - You’re still a technologist at heart. What technologies are interesting to you these days?

Topic 6 - From where you are today, how would you mentor a young Nick Weaver that just did a 5 minute demo during an EMCworld keynote in 2008-2009?

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Did COVID transform Tech? Mar 21, 2021

Show notes

The COVID-19 pandemic will last ~18 months, but how long will the impact to the technology industry last?

SHOW: 499
SHOW SPONSORS:

Get started with the JumpCloud Directory Platform today
Visit the JumpCloud Homepage. Email press@jumpcloud.com for a FREE JumpCloud T-Shirt.
See how O’Reilly online learning can help your tech teams. Request a free demo now.
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Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt.

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

HOW WILL COVID CHANGE THE TECH INDUSTRY?

REMOTE WORK and COLLABORATION

The foundational tools are in place (GitHub, Zoom, Slack, Jira, Public Cloud) but are they really designed for large # of remote workers collaborating?
Event sign-ups were up 5-10x, but have people actually been consuming the content?
Will companies continue to encourage and support remote workers, or do we see a boomerang in late 2021 and 2022?

MORE RAPID ADOPTION OF THE PUBLIC CLOUD

Less people in the office, so more adoption of public clouds?
Public clouds grew, but not at faster rates than before - 2021/2022 might be better indicators, as 2020 had “budget concerns” for many companies (uncertainty)
More adoption of SaaS-like offerings (be near the clouds, align buying models, more flexible)
Acceleration of more agile approaches, as the world becomes more polarized - hence stability may be shorter intervals?

WHY DIDN’T THE CLOUD PROVIDERS DO MORE?

Cloud providers have massive cash reserves (Microsoft, $137B, Google $112B, Amazon $50B), but no major acquisitions.
Nobody has initiate price-wars, but we are seeing more long-range ELAs announced

WHERE IS THE “NEXT BIG THING”?

2006/2007 - iPhone, AWS launch ; 2008 Financial Crash
2020 - ???

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Understanding SaaS Financial Models Mar 17, 2021

Show notes

Ben Murray (@br_murray, Founder of SaaS CFO and SaaS Academy) talks about how to understand the financial models behind successful SaaS companies, the tradeoffs on profit vs. growth, and how to spot the health of SaaS businesses.
SHOW: 498

SHOW SPONSOR LINKS:

Datadog Security Monitoring Homepage: Modern Monitoring and Analytics
Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt.
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Test Drive Qumulo: Try Qumulo for free, no downloads or setup required

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:

Topic 1 - Welcome to the show. We don’t usually get CFOs on the show. Tell us a little bit about your background and what brought you into the SaaS world.

Topic 2 - The more we study SaaS companies, the more it seems like everyone needs to understand the financial model and associated metrics (executives, product managers, marketing, customer service, etc.). How do you go about teaching best practices to SaaS companies?

Topic 3 - Let’s talk about the core financial concepts that SaaS companies need to think about (CAC, MRR, ACV, LCV, Churn, Gross Margin, etc.)

Topic 4 - Are there some common financial patterns (metrics, ratios, etc,) to tell how a SaaS company is doing (good or bad)? If so, are there established best-practices to get them out of bad situations?

Topic 5 - Can you help us better understand why some people get excited when a SaaS company has revenue growth and loses money, and others freak out? Help us understand that in growth stages vs. stable stages. (SaaS Rule of 40?)

Topic 6 - Have you found that SaaS businesses are unique in their financial modeling, or can some of these best practices be applied to non-SaaS software businesses?

Topic 7 - You just started SaaS CFO and SaaS Academy. Give us an overview of what people will learn.

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The Complexities of Edge Computing Mar 14, 2021

Show notes

It’s smaller computers, doing limited tasks. So why is Edge Computing so complicated, and why are there so many definitions?
SHOW: 497
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CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

THE COMPLEXITIES OF EDGE COMPUTING

No single definition of edge, because of so many use-cases

Branch office
Near-Edge
Far-Edge
Disconnected

Hardware can dictate quite a bit about edge characteristics

Custom-OS or COTS OS
General purpose HW or Specialized HW (GPU, NVMe, DPUs)
#of computing devices; volume of local storage

Networking can dictate quite a bit about edge characteristics

Are the devices always connected to the Internet?
How are disconnected environments handled?
How much bandwidth is available? Is it symmetric or asymmetric?
What are the traffic patterns of the applications? Local vs. Backhaul.

Security can dictate quite a bit about edge characteristics

How does Security happen on Day 0?
What are the security vs. usability tradeoffs? (direct user interaction)
How is security maintained? (CVE, Local Security services, etc.)

Maintenance can dictate quite a bit about edge characteristics

How much does it cost to deploy new edges?
How often are the edges expected to be upgraded?
How will maintenance happen? (Local tech, remote download, etc.)
How sophisticated is the Day 2 Ops? (Telemetry, Environmentals, Benchmarks, etc.)

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