The Enterprise AI Show

Latest Episodes:

Cloud Observability with ELK and Grafana Apr 22, 2020

Show notes

Tomer Levy (@TomerLevy, Co-Founder/CEO of @Logzio) talks about how open source communities have evolved to enable Observability, how teams embed Security into their DevOps processes, and tips for managing better collaborations and communications in distributed teams.

SHOW: 447
SHOW SPONSOR LINKS:

DivvyCloud - Achieve continuous security & compliance. Request a free trial today!
DivvyCloud - The best mistakes are the ones that don’t happen. Learn how IaC offers preventive cloud security.
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
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP

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

Logz.io Homepage
Why We Founded Logz.io Video
Logz.io: Infrastructure Monitoring
Launching the Community COVID-19 Dashboard Project
Start your free Logz.io trial here, and receive a t-shirt, on us!

Topic 1 - Let's talk about your background as both a technologist and entrepreneur, and what excites you about the open-source ecosystem (what motivated you to found Logz.io)?

Topic 2 - Observability is a hot topic these days, how are we seeing the open source community and open source tools evolve in this space?

Topic 3 - We've seen an explosion of application traffic and data over the last few years. What are some of the things that tools like the ELK stack and Grafana have done to help with this scale, as well as making life easier for DevOps teams?

Topic 4 - You have a background in security. Is it possible to have a DevOps team these days without it being DevSecOps? What are some of the things you’ve seen that are making security more manageable in these fast-changing environments?

Topic 5 - None of us know when these work-from-home conditions are going to change, or how long the impact might be on a “new normal’. Any tips or suggestions for newly remote teams to be successful around operations? How important is it for engineers to better manage complexity and costs during this time?

Topics 6 - What are some of the ways that Logz is using your experience in data collection and data visualization to give back to help during these trying times?

Topics 7 - Can you tell us about your upcoming online event -- OpenObservability -- and how the agenda and speakers will cover some of these items in more detail with their unique insights?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SRE Lessons from the Trenches Apr 15, 2020

Show notes

Emil Stolarsky (@emilstolarsky) and Jaime Woo (@jaimewoo), co-founders of @IncidentLabsInc talk about experiences running web applications at scale, evolving into SRE roles, communicating SRE concepts across teams, and tips for initial success.

SHOW: 446
SHOW SPONSOR LINKS:

MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
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
DivvyCloud - Achieve continuous security & compliance. Request a free trial today!
DivvyCloud’s 2020 Cloud Misconfigurations Report - Cloud misconfigurations cost enterprises $5 trillion in 2018 and 2019.

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

Incident Labs (homepage)
Ovvy (tool) - On-Call Management
Google SRE Book

Topic 1 - Welcome to the show. Tell us a little bit about your backgrounds, and some of your experiences that lead you to focus on SRE.

Topic 2 - SRE is still an evolving concept, and people are still learning about it. How do you frame a conversation with people about how SRE works? How much is technology-centric and how much is culture/process-centric?

Topic 3 - We’re all living in an unusual time, given the current COVID-19 pandemic. How do you see SRE changing as work environments change (e.g. WFH) or volume or change-rate is dramatically impacted?

Topic 4 - What have you found are successful communication and collaboration models for SREs engineers with their associated teams (or other stakeholders)?

Topic 5 - How well do you find different groups understand the concepts around error budgets and SLOs?

Topic 6 - If people are just now getting started with SRE, what are some early tips (or tools) that you recommend for them to have initial success (or avoid failures)?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

A Practical Approach to Cloud-native Patterns Apr 08, 2020

Show notes

Ian Crosby (@IanDCrosby, Managing Director @ContainerSoluti) talks about how Cloud-native applications are as much about new technology patterns as they are about new organization patterns, collaboration patterns and risk-management patterns.

SHOW: 445
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
DivvyCloud - Achieve continuous security & compliance. Request a free trial today!
DivvyCloud’s 2020 Cloud Misconfigurations Report - Cloud misconfigurations cost enterprises $5 trillion in 2018 and 2019.
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP

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

Container Solutions (homepage)
Ian’s Blog (Container Solutions)
Cloud Native Transformation Patterns (Strategy, Culture, Tech, Orgs, etc.)
Cloud Native Transformation (O’Reilly)

Topic 1 - Welcome to the show. Tell us a little bit about your background, as you’ve been around software development and this move to cloud-native for a little while now.

Topic 2 - Lets begin by talking about patterns. What are some common application patterns, and how do they begin to change when we’re talking about cloud-native patterns?

Topic 3 - What are some of the more commonly used cloud-native patterns? Are they more focused on the underlying technology (e.g. containers, Kubernetes, etc.) or more focused on the actual application (e.g. 12-factor, etc)?

Topic 4 - Have you found that some patterns are easier for groups (or companies) to adopt than others?

Topic 4a - “Why are patterns useful in Cloud Native?” or “How do you get started using patterns?” are two topics/questions which may be interesting.

Topic 5 - Have you found that some patterns are easier or more difficult to maintain over time?

Topic 6 - What are some common tips that you share with communities or your clients to help them find early success to build confidence?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SecOps in the Cloud Apr 01, 2020

Show notes

Nati Hazut (Co-Founder & CEO, Polyrize) talks about security in the cloud, ZeroTrust, SecOps, Non-Human Entities and why the old perimeter model no longer works.

SHOW: 444
SHOW SPONSOR LINKS:

DivvyCloud - Achieve continuous security & compliance. Request a free trial today!
DivvyCloud’s 2020 Cloud Misconfigurations Report - Cloud misconfigurations cost enterprises $5 trillion in 2018 and 2019.
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
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

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

Topic 1 - You have an interesting background in both the Israel military and cyber-security. Can you give a quick introduction for everyone please?
Topic 2 - Brian and I both do not come from security backgrounds and I’m sure we have some listeners out there just learning. Let’s start at the start. SecOps, what is your definition and why is it important today?
Topic 3 - You recently published an article in Security Boulevard (link in show notes) on Non-Human Entities in the Cloud. I found it very fascinating. Can you tell everyone what that expression means and why it is so important in a cloud and SaaS world?
Topic 4 - What are the top challenges with security in the cloud today? I come from the days of the old secure perimeter model. What has changed and why? I would imagine automation and API driven systems have changed this perspective a lot.
Topic 5 - Tell us a bit about your company Polyrize. What problems are you trying to solve? What are the most common use cases? What are the challenges to securing multiple platforms (SaaS, IaaS, etc.)

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

GitHub Actions and the DevOps Lifecycle Mar 25, 2020

Show notes

Chris Patterson (@chrisrpatterson, Product Manager for GitHub Actions @GitHub) talks about the evolution of GitHub from a collaboration-centric platform to a DevOps-centric platform, as well as discussing the expanding role of GitHub Actions for developers, DevOps and SREs.

SHOW: 443
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
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP

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

GitHub Homepage
GitHub Satellite (virtual conference, May 2020)
GitHub Actions
GitHub Actions API (new)

Topic 1 - Welcome to the show. Tell us a little bit about your background, as you’ve been working on developer productivity for quite a while?

Topic 2 - We’ve been watching this trend of GitHub moving from a place where developers put code, to a place where they collaborate around code, and now it’s expanding out to a full lifecycle around both the code and running applications. Let’s talk about that evolution.

Topic 3 - Help us understand the basics of GitHub Actions and GitHub Packages.

Topic 4 - What sort of feedback was coming in from developers that pushed GitHub to get more involved in the complete DevOps lifecycle?

Topic 5 - Can you talk about the growth of Actions/Packages since they launched in early 2019? What are some of the interesting use-cases you’ve seen?

Topic 6 - If you’re able to give us a glimpse into the future, what are some of the other areas where GitHub can expand Actions, or you’re starting to see users push it’s capabilities?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

Tips for Working from Home Mar 18, 2020

Show notes

Aaron talks to Ken Hui (@kenhuiny - Solutions Architect, AWS) about advice on working from home. We've been working remotely for over 20 years and this may we offer some tips and tricks to stay productive. Stay safe everyone

SHOW: 442
SHOW SPONSOR LINKS:

MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
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

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

Wash your hands
Don't touch your face
Practice Social Distancing

Topic 1 - No tech topic this week. We’re going to talk a bit today about working remotely. This may be new and unexpected to some of you. To talk about this I invited past guest and occasional co-host, Ken Hui. Between Ken and I, we have worked together at a few different places in the past and probably have 20+ years working from anywhere. Welcome back Ken! For those that live under a rock and don’t know you, tell everyone a little about yourself and what you’re up to these days.
Topic 2 - Let’s start with some basics. What are the first steps to both keep your sanity and be productive? (Making sure your calendar is public, your company has a standard for chat/video/etc, don’t they? You are available during business hours, etc.) Set up a dedicated work space, etc. Don’t use Slack to replace email….
Topic 3 - At our last company together, Ken pushed hard for certain work from home inclusion rules, what were they? Video camera on, video camera off? People will always assume the worst.
Topic 4 - Weekly report on work to a distributed team: this week, next week, GYR status, upcoming PTO, etc.
Topic 5 - Have a start and stop time (that is friendly to your HQ)

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

Next-Generation Developer Collaboration Mar 11, 2020

Show notes

Aaron Upright (@IAmAaronUpright, Co-founder of @ZenHubHQ) talks about the challenge of developer collaboration and project prioritization, integrating tools within GitHub, best practices for teams, and the importance of making tools that technical and non-technical team members can understand.

SHOW: 441
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
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP

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

ZenHub Homepage

Topic 1 - Welcome to the show. Tell us a little bit about your background, and ultimately what led you to co-found ZenHub?

Topic 2 - Let’s start by talking about what ZenHub delivers. We’re very interested in the potential of GitHub and the things it’s doing directy, but we’re also interested in this ecosystem that’s enhancing GitHub.

Topic 3 - What are some best-practices around road mapping and prioritizing activities that could be shared?

Topic 4 - What are some best-practices around allowing greater transparency of roadmaps with multiple teams? (what are the pros and cons)?

Topic 5 - ZenHub is an example of a toolset that's built entirely around GitHub capabilities. Do you think we'll begin to see more companies just built around GitHub and move away from externally-connected toolsets?

Topic 6 - Are most of your interactions with software companies, or are you also interacting with businesses whose primary focus is something other than being a software company?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

API Driven Edge Networking and 5G Mar 04, 2020

Show notes

Sunay Tripathi (@SunayTripathi, Founder and CTO, @MobiledgeX) talk about Edge Networking, why 5G will be a huge leap forward, evolving use cases beyond AR/VR, and creating a clean developer experience by abstracting away the mobile transport layer

SHOW: 440
SHOW SPONSOR LINKS:

MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
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

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

Topic 1 - Welcome to the show. Tell everyone a little about yourself, you have been at the intersection of Network Virtualization, Cloud, and now Edge for quite some time.

Topic 2 - Let’s start at the start. What is your definition of Edge and what are some of the historical problems you see there? In this instance we are talking about network edge devices and not edge computing, correct?

Topic 3 - Tell us a little bit about device/identity security at the edge.

Topic 4 - When I think about device based AR/VR, I think about gaming as the primary use case that I’m exposed to as a consumer but we are talking about much more than that. What are some of the prominent use cases you are seeing and are trying to solve for?

Topic 5 - How does the increase in bandwidth at the transport layer, in particular worldwide 5G come in to play? Is this just a “bigger, faster pipe” or does it require a heavy implementation lift to adopt? How does world geography play into this? Some areas of the world are dominated with edge/handheld devices for almost all daily life now...

Topic 6 - We don’t talk about PaaS as much on the podcast lately but would it be safe to characterize MobiledgeX’s technology as a development PaaS for edge devices?

Topic 7 - Tells us about MobiledgeX’s upcoming initiative, Seamster. As I understand it this will bring vendors and developers together, correct?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

DevOps and Incident Response Evolution Feb 26, 2020

Show notes

Chris Riley (@hoardinginfo, DevOps Advocate, @Splunk) talks about the state of DevOps, the evolution of Incident Response with Machine Learning, Service vs. Site Reliability, and using Incident Response to increase quality of development

SHOW: 439
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
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP

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

Topic 1 - Welcome to the show. Tell everyone a little about yourself, you’ve been active in the DevOps space for quite some time.
Topic 2 - About a year ago we had your peer and good friend of the show, Josh Atwell, on to talk about the State of DevOps in 2019. What are your thoughts on changes over the last 12 months and where we headed in 2020?
Topic 3 - One item in particular that has drawn my attention is your discussions on Incident Response and Machine Learning. Can you tell everyone a little bit about that and why you believe it will be valuable going forward?
Topic 4 - This in a way feels almost like a transition into the next evolution of our model. First we had separate dev and ops and no one talked, then we put them together, then we had every device and app start spitting out logs and alerts and next thing you knew, we were drowning in data… The complexity of the systems has grown exponentially. Fair?
Topic 5 - You recently did a post over on the Victor Ops blog about SRE and the meaning of the “S” in that blog. You propose more and more it should stand for Service Reliability Engineer vs. the more traditional Site Reliability Engineer, especially as we move into a subscription based model world. Can you explain to everyone your thoughts there?
Topic 6 - When I think Incident Response, I think production environments. As part of VictorOps I’m sure you see a lot of use cases and have solved some pretty unique customer problems. How can this be applied outside of production, say for application testing or quality before hitting production? Is that a valid approach?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

Scalable Databases on Kubernetes Feb 19, 2020

Show notes

Peter Mattis (@PeterMattis, Co-founder/CTO of @CockroachDB) talks about the evolution of scalable SQL databases, the challenges of globally scalable data management, how Kubernetes has evolved to manage stateful applications, and lessons learned running Kubernetes and CockroachDB.

SHOW: 438
SHOW SPONSOR LINKS:

MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
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

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

CockroachLabs Homepage
CockroachDB - Scalable, survivable, SQL database
OperatorHub Homepage
Peter Mattis on the Google Kubernetes Podcast

Topic 1 - Welcome to the show. Before we dive into our discussion, tell us a little bit about your background in working on scalable technologies.

Topic 2 - Today we’re going to mash together a couple of popular (and complex) topics - the growing use-cases on Kubernetes, and the growing need to synchronize data for anywhere access. Let’s start with the data side of the equation - tell us about the basics of your creation, CockroachDB, and the challenges it solves.

Topic 3 - What are some of the use-cases that are driving more scalable SQL usage vs. more traditional SQL database models?

Topic 4 - When Kubernetes first got started, the focus was on scalable stateless (cloud-native) applications. How are you beginning to see the trend towards companies becoming more comfortable with stateful applications (e.g. databases) on Kubernetes?

Topic 5 - One of the new technologies that’s making it easier to get databases onto Kubernetes is “Operators”. CockroachLabs has been one of the leading platforms supporting this technology. Can you talk a little bit about your experience with Operators and how it images the way Kubernetes teams (developers or platform teams) about databases on Kubernetes.

Topic 6 - What are some of the lessons learned from deploying CockroachDB onto Kubernetes?

FEEDBACK?

Email: show at thecloudcast dot net
Twitter: @thecloudcastnet

FEEDBACK?

Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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