The Enterprise AI Show

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Discussing Service Mesh Architectures Feb 27, 2019

Show notes

Show: 387
Description: Aaron and Brian talk with Armon Dadgar (@armon, Founder/CTO @HashiCorp) about the problems service mesh can solve, the underlying technologies, control plane vs. data plane considerations, and who is making decisions about service meshes within an IT organization.

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Cloud News of the Week

Show Interview Links:

Hashicorp - http://hashicorp.com
What is a Service Mesh - https://www.hashicorp.com/resources/what-is-a-service-mesh
Consul - https://www.consul.io/

Show Notes:

Topic 1 - Welcome to the show. It’s been a couple years since HashiCorp has been on the show, so give us an update on the company - big round of funding ($100M) in November.

Topic 2 - A couple months ago we saw you in a video called “What is a Service Mesh?”. It was intended to be a “let’s make this simple” and you realize that a Service Mesh could be a lot of things - L4-L7 routing, Proxy, Encryption, Authentication, Application patterns. Is a Service Mesh solving a new problem, or is it pulling together lots of things that have existed at L4-L7 and application stacks in the past?

Topic 3 - “Service Mesh” has become a pretty crowded and fragmented market over the last couple years. HashiCorp Consul has been around since 2014 (was originally “Service Discovery”) and now there’s Linkerd, Istio, Envoy and a bunch of variations. As you talk to people in the market, how are they evaluating the options out there?

Topic 4 - Consul has evolved from Service Discovery to Service Mesh, and seems to have come from more of an authentication and security perspective (some others tends to be more routing-centric). Are there use-cases when one Service Mesh is a better fit than others, or should we expect that all/most of them will more or less converged on features over the next 12-24 months?

Topic 5 - Can you give us some examples of how companies are using Service Meshes today (parts or all of the capabilities) and what teams are usually driving the adoption (infra/ops, security, app-dev, etc.)?
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Evolution of Public Cloud Integrators Feb 20, 2019

Show notes

Show: 386
Description: Aaron and Brian talk with Jeff Aden (@aden_jeff, Founder/EVP at @2ndWatch) about the evolution of 2ndWatch as a Cloud Integrator as AWS has grown and shifted their focus from startups to Enterprise customers.

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Cloud News of the Week

Google’s managed hybrid cloud platform is now in beta - tcrn.ch/2SfJXxg
Google Buys Alooma -https://gweb-cloudblog-publish.appspot.com/topics/inside-google-cloud/google-announces-intent-to-acquire-alooma-to-simplify-cloud-migration/amp/
This Silicon Valley VC Firm Raised $500 Million To Invest Ahead Of Growth-Stage Giants Like SoftBank - on.forbes.com/6011ET2a9

Show Notes:

Topic 1 - Welcome to the show Jeff. Tell us about your background, the founding of 2nd Watch, and how the company has evolved over the last few years.

Topic 2 - We got to know 2nd Watch at one of the first re:Invent shows, as they had one of the largest booths on the floor. At the time, they were listed as one of AWS’s best partners. Today, 2ndWatch provides management tools, migration tools, systems-integration capabilities. How does 2ndWatch think of themselves?

Topic 3 - What are the concerns of your customers today, and how does 2ndWatch think about matching customer demands and the types of tools/services/capabilities that you provide today?

Topic 4 - We’d like to pick your brain about the usage and insights you’re seeing from your customers usage of AWS. It’s mentioned that 100% are using DynamoDB, 53% are using Elastic Kubernetes, and are fast growing section are using things likes Athena, Glue and Sagemaker. What are some of the types of applications that you’re seeing customer build that leverage these new models?

Topic 5 - With technologies like Outpost being announced, after so many years of AWS saying “Cloud or legacy Data Center”, how do you see this impacting the thought process of customers or potential customers?

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Mid Career Job Changes Feb 15, 2019

Show notes

Show: 385
Description: Aaron and Brian talk with Keith Townsend (@CTOAdvisor) about jobs around the IT industry, and the opportunities, challenges and trade-offs in making various types of mid-career job changes.

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Show Notes:

Topic 1 - Welcome back to the show. Want to talk about the pros and cons of various types of jobs in and around the IT industry - Vendors, Integrators, Contractors, Consultants, IT within a Company (Customer)

Topic 2 - Most of the 2000s and about half of the 2010s were a huge boom for remote workers. It feels like that trend is reversing. Lots of Silicon Valley companies are reversing it, the major Public Cloud providers are specific about location, IBM had a push back towards offices. Walking the fine line between a remote team or an in office team. Also, challenges to stepping into leadership. Some leadership is not remote friendly historically

Topic 3 - If you decide that you want to work around “emerging” technologies, you’re usually having to decide between a few critical factors - travel, visibility/marketing/advocating, salary certainty, and career path.

Topic 4 - “Move up the stack” or “Move towards value” - Is this something that is realistic for people that have 5+ years in a skill set? What are some realistic things people could do in this domain?

Topic 5 - What are some examples you’ve seen or recommends you’ve been given about how to make these transitions?

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Multi-Cloud Security Feb 06, 2019

Show notes

Show: 384
Description: Aaron talks with Harry Sverdlove (@TheSecureWord, Founder & CTO Edgewise Networks) about the evolution of security to embrace both a micro-services and multi-cloud world.

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Cloud News of the Week

Show Interview Links:

Topic 1 - Briefly Introduce yourself and tell everyone a little bit about your background.
Topic 2 - The topic of security historically has been a weakness for Brian and I, let’s start at the start and cover a few base topics first. What are some of the big challenges customers are facing today in hybrid and public cloud?
Topic 3 - I came from the “secure the perimeter” world back in the day. How has this concept evolved and does it still apply to operations today?
Topic 4 - Are we evolving into an anomaly detection mindset going forward? How does AI/ML assist (if at all) in this area vs. historical trends and pattern matching?
Topic 5 - As applications move to more cloud native architectures joined with a loose coupling of microservice, how does this change play into approaching the problem?
Topic 6 - Last question, what implications does multi-cloud present?

Feedback?

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Twitter: @thecloudcastnet and @theserverlesscast

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A Serverless Look Ahead for 2019 Jan 30, 2019

Show notes

Show: 383
Description: Aaron and Brian talk with Paul D. Johnston (@PaulDJohnston, Co-Founder ServerlessDays (creator of “Jeff”), CXO Serverless Consultant) about the current state of Serverless, Serverless vs. FaaS, how to economically think about functions of code, and areas where Serverless needs to improve.

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Cloud News of the Week

IBM signs deal with Vodafone - https://newsroom.ibm.com/2019-01-17-IBM-Vodafone-Business-Join-Forces-to-Drive-Innovation-in-Rapidly-Changing-World
IBM signs deal with Juniper - https://www.ibm.com/blogs/cloud-computing/2019/01/18/ibm-juniper-cloud-agreement/
Travis CI acquired by Idera - https://blog.travis-ci.com/2019-01-23-travis-ci-joins-idera-inc
Confluent, creators of Kafka, raised $125M in VC funding in a Round D, at a $2.5B valuation - https://www.forbes.com/sites/alexkonrad/2019/01/23/open-source-unicorn-confluent-reaches-25-billion-valuation-three-years-after-hiring-its-first-sales-rep/#67d93c3315e2
Microsoft buys Citus Data (open source Postgres SQL) - http://zd.net/2FQfF2v

Show Interview Links:

Paul’s Blog - https://medium.com/@PaulDJohnston
The ServerlessCast #6 - Event-Driven Thinking with Paul Johnson - http://www.thecloudcast.net/2017/05/the-serverlesscast-6-events-vs-functions.html
ServerlessDays - https://serverlessdays.io/

Show Notes:

Topic 1 - Happy New Year, hope you’re having a good 2019. It’s been a while since you were last on the show. As the creator of Jeff, what have you been up to lately?

Topic 2 - Let’s talk about a basic thing that seems to confuse people. What’s the new definition, or the actual difference (if there is any), between “Serverless” and “Functions as a Service”.

Topic 3 - I’ve seen you mention several times on Twitter that, “Few people really understand how powerful serverless can be. They focus on the wrong things.” Help us get focused on the important parts.

Topic 4 - I’ve also seen you say that “with serverless, infrastructure is a rounding error.” Walk us through the economics of your experiences with serverless, and how you think about “profitable software”.

Topic 5 - Why do you think it seems like so many of the other cloud offerings are so far behind AWS Lambda?

Topic 6 - At a high level, what is working well in serverless, and what is still complicated or missing? What’s your wishlist for 2019?

Feedback?

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Twitter: @thecloudcastnet and

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An AI and ML Look Ahead for 2019 Jan 23, 2019

Show notes

Show: 382
Description: Brian talks with Sam Charrington (@samcharrington, Machine Learning & AI analyst, advisor & host of “This Week in Machine Learning & AI” podcast) about trends in the industry, the evolution of AI at the edge, new research areas in 2019, and a discussion about adding AI and ML to business applications.

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Show Interview Links:

This Week in Machine Learning & AI Homepage - http://twimlai.com
Kubernetes for Machine Learning, Deep Learning and AI (eBook) - https://twimlai.com/kubernetes/
Sam Charrington on Eps.321 of The Cloudcast - http://www.thecloudcast.net/2017/11/the-cloudcast-321-understanding-ai-and.html

Show Notes:

Topic 1 - Happy New Year and welcome back to the show, it’s been just over a year. For those that didn’t hear that show or might be new to TWIML & AI, tell us about your background and some of your AI/ML focus now.

Topic 2 - Let’s start with the things that are considered “mainstream” with AI & ML today. Fraud detection, recommendation engines, facial recognition, speech recognition, auto-completions. What’s missing from that list, and how “commodity” have those technologies, tools, datasets, cloud services become?

Topic 3 -On the flipside, what are some of the areas where research or just the massive cloud providers are focused today?

Topic 4 - A couple years ago it seemed like TWIML & AI was a mix of technology discussions and business/social impacts. This past year seemed to be a deeper focus on the underlying technologies. What’s the current state of the balance between AI & ML for computing improvement vs. concerns about personal privacy, etc.?

Topic 5 - What’s the “getting started” curve look like for companies that want/need to add or integrate AI & ML into their applications? What are some numbers you hear about cost of engineers, sizes of datasets, number of experiments and models needed to run, etc.?

Topic 6 - What are some of the things you’re really looking forward to in 2019, whether it’s technology or trends or something else?

Feedback?

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Twitter: @thecloudcastnet and @ServerlessCast

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An ITOps & Infrastructure Look Ahead for 2019 Jan 16, 2019

Show notes

Show: 381
Description: Brian talks with Ethan Banks (@ecbanks, co-founder of @PacketPushers) about the state of ITOps and Infrastructure heading into 2019.

Show Sponsor Links:

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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

Show Interview Links:

Ethan’s Blog - https://ethancbanks.com/
Packet Pushers Homepage - https://packetpushers.net/
Datanauts Podcast - https://packetpushers.net/series/datanauts-podcast/

Show Notes:

Topic 1 - Happy New Year. Welcome to the show. For anyone that isn’t already a listener to one of the many Packet Pushers podcasts, give us a little bit on your background.

Topic 2 - From an ITOps perspective, it seems like the last few years have been focused on “Software-defined” or “Hyper-Converged”, “Hybrid Cloud” and various forms of Automation. How much of those are real concerns of ITOps, and how much of that is vendor hype?

Topic 3 - As the usage of the public cloud grows, how much do you see ITOps professionals feeling like they can influence architecture and design, or feel like they are having to shift their focus to other tasks?

Topic 4 - You’ve been around the industry for a while, both as a practitioner (hands-on engineer) and now with a broader industry perspective. What are the biggest changes you’ve seen over the last couple years, and what are the areas that just never seem to change/evolve?

Topic 5 - We know that application teams are becoming more ingrained in business decisions (lines-of-business, etc.), but is that same thing happening with the ITOps teams as well?

Topic 6 - What are some of the ITOps and Infrastructure trends that you expect to be following/exploring more in 2019?

Feedback?

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Twitter: @thecloudcastnet and @ServerlessCast

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A Cloud-Native Apps Look Ahead for 2019 Jan 09, 2019

Show notes

Show: 380
Description: Brian talks with Jeff Meyerson (@the_prion, Host of @software_daily) about the state of Cloud-native application development heading into 2019.

Show Sponsor Links:

Datadog 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

Show Interview Links:

Software Engineering Daily - https://softwareengineeringdaily.com

Show Notes:

Topic 1 - Happy New Year. Tell us a little bit about your background, and what motivates you to continue to dig into every aspect of Cloud-native application development?

Topic 2 - Developers have lots of opinions and approaches to building software. Have you seen much in terms of commonality or consistency about how developers are building cloud-native applications?

Topic 3 - What are some of the areas that developers really love today, and some areas where developers are really frustrated?

Topic 4 - A decade ago, it was all about the LAMP stack. We hear about the MEAN (Mongo, Express, Angular, Node) stack, but also lots of discussions about things like Kafka and more real-time applications. Are you seeing trends around application stacks, or is it really about lots of options now as applications move to microservices (and serverless)?

Topic 5 - SED covered quite a few aspects of Machine Learning in 2018. What are some of the things you’ve learned about ML usage and how it’s impacting application developers?

Topic 6 - What are some of the topics that you’re really interested to explore in 2019?

Feedback?

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Twitter: @thecloudcastnet and @ServerlessCast

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A DevOps Look Ahead for 2019 Jan 03, 2019

Show notes

Show: 379
Description: Brian talks with Josh Atwell (@Josh_Atwell, Sr. Technology Advocate @Splunk and co-host of @SpeakingInTech) about the state of DevOps and NewOps heading into 2019.

Show Sponsor Links:

Datadog 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

Show Interview Links:

Josh’s Blog - https://josh-atwell.com
NewOps Days - http://www.newopsdays.org/
DevOps Days - https://www.devopsdays.org
DevSecOps - https://www.devsecops.org/
Site Reliability Engineering - https://landing.google.com/sre/

Show Notes:

Topic 1 - Happy New Year. Tell us a little bit about your background, why you’re drawn to the DevOps space, and maybe some of your goals for 2019.

Topic 2 - What is the state of DevOps heading into 2019? We’ve seen it evolve from The Phoenix Project and “10 Deploys a Day” CI/CD to Infrastructure as a Code and HugOps.

Topic 3 - It feels like DevOps is sort of at a crossroads, with a bunch of newer things emerging, from SRE to DevSecOps to NewOps. It that the market being uncomfortable with DevOps, or sort of a 2nd-generation set of knowledge emerging?

Topic 4 - From a technology perspective, DevOps always seems to attract the CI/CD tools and then the Chef/Puppet/Ansible/Salt tools, and now there is somewhat of a shift to immutability with things like Containers/Kubernetes or even serverless. Is there a technology focus for DevOps in 2019? How does NewOps fit into this space?

Topic 5 - From a culture perspective, there’s been HugOps and Blameless Post-Mortems and Empathy, all focused on cohesity between business and technical in owning challenges/goals/results. Are there culture-side frameworks that are emerging and gaining traction?

Topic 6 - As you listen to the community, what we some of the most common tips and suggestions that you find help people and groups to be more successful in the DevOps domain?

Feedback?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet and @ServerlessCast

FEEDBACK?

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Bluesky: @TheEntAIShow.bsky.social
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2018 Year in Review Dec 31, 2018

Show notes

Show: 378
Description: Aaron and Brian review the biggest news, trends and topics of 2018.

Show Sponsor Links:

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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

Cloudcast Housekeeping:

Thank you to our sponsors, both A Cloud Guru and DataDog
64% of Krispy Kreme Funding - http://bit.ly/Cloudcast-Donuts2019
51 Shows, Avg Listens (show): 18-20k (+19%), Avg Rank iTunes Technology: 63
Over $50B in M&A and VC Funding for guests (all-time)
Acquired: Red Hat, Rightscale, CoreOS, GitHub, Evident.io, Loggly, CloudHealth, VictorOps, Bonsai
IPO: Pivotal
Funding: SWIM.AI, Stryth Leviathan, Atomist, Kasten, Lightstep, Rubrik, Hashicorp, A Cloud Guru

Show Notes:

Previous Year Cloudcast Predictions: 2017, 2016, 2015, 2014,
Top Tech Trends (expected) in 2019 (via CBInsights)
Commercial Open Source Software Companies ($100B)
Cloudability - State of the Cloud (2018)

Big Trends:

Gartner IaaS MQ is down to 6 companies (AWS, Azure, GCP, Alibaba, IBM, Oracle)
AWS growing +40% ($25B revenues) and Azure revenues ~ $28-30B (but not explicitly broken out) - AWS claimed at re:Invent to have 51% market-share.
Big acquisitions around Open Source (Red Hat, GitHub, Hortonworks)
A new push by Open Source companies (Redis, Confluent) to change their licensing model to help protect them from public cloud providers taking their software and not giving back - http://dtrace.org/blogs/bmc/2018/12/14/open-source-confronts-its-midlife-crisis/
Big funding and investments around HCI and Backup HCI
Kubernetes continues to dominate containers and cloud-native (see: @PodCTL podcast)
New CEO at Google Cloud (Thomas Kurian)
Blockchain seems to need a new PR agency
Interest rates are rising (2 more raises are projected in 2019), which changes all the VC models

Tech Stocks (2018):

S and P 500: (-12.2%), DJIA: (-12%), NASDAQ: (-8%)
AAPL: (-12%), AMZN: (+14%), CSCO: (+5%), FB: (-29%), GOOG: (-7.5%), IBM: (-30%)
MSFT: (+11%), NFLX: (+25%), NTAP: (-1%), NTNX: (+1%), ORCL: (-11%), RHT: +43% (acquired by IBM)
PVTL (0%), SAP: (-8.5%), SFDC: (+18%), VMW: (+13%)
How are SaaS priced after 2018 correction? - https://tomtunguz.com/just-where-are-saas-companies-priced-after-the-2018-correction/

FEEDBACK?

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