The Cloudcast

This past week, Amazon announced a new RTO policy that required 5 days a week in the office. What types of impacts could this have on tech workers and the tech industry?

SHOW: 858

SHOW TRANSCRIPT: The Cloudcast #858 Transcript

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SHOW NOTES:

• Amazon announces new Manager/Employee Ratio and RTO policy for 2025

IT’S BEEN 4.5 YEARS SINCE PEOPLE WERE IN THE OFFICE - FULL TIME

• People have adapted their life to working from home
• People have adapted their families to working from home
• Daily commutes seem like a poor use of resources

IT’S BEEN 4.5 YEARS SINCE PEOPLE WERE IN THE OFFICE - FULL TIME

• Being around co-workers does tend to increase collaboration and idea sharing
• RTO is more difficult on certain employee (especially care-giving women)
• RTO is an effective way to reduce headcount without defined “layoffs”
• RTO may feel more impactful to mobility-able tech workers

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Elliot Shmukler (@eshmu, Co-Founder/CEO @anomalo_hq) and Jeremy Stanley (@jeremystan, Co-Founder/CTO) talk about how data integrity and changes can impact both technology and business decisions.

SHOW: 598

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SHOW NOTES:

• Anomalo (homepage)
• Anomalo raises 33M Series A (TechCrunch)
• Anomalo watches your data for weirdness (Forbes)
• Anomalo brings data quality platform to Snowflake (TechTarget)

Topic 1 - Welcome to the show. Let’s start with brief introductions and backgrounds. Elliot & Jeremy please introduce yourselves.
Topic 2 - As mentioned you both met and worked together at Instacart. Let’s introduce the concept of data quality and integrity to those who may not be familiar. What patterns and problems did you see. Any possible horror stories you can share?
Topic 3 - Up until now, I’ve seen big data often more about finding the needle in the haystack. It’s in there somewhere, you just have to find it. But, what if it is the wrong needle?
Topic 4 - Are we also talking about data drift over time as the amount of data grows? As data is added to the pool, we may come to different conclusions. How do we know if the new conclusions are based on good data or bad data?
Topic 5 - You recently announced a partnership with Snowflake. This makes sense, why build another data lake and that of course may be a barrier of entry to some, correct? Are we reaching a point with big data and data lakes that we can have one single source of truth? I know we are in early days but how do most customers approach big data today and how do they keep the data sets up to date.
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Gil Hoffer (@gilhoffer, Co-Founder / CTO @salto_io) talks about the challenges of managing and integrating SaaS applications, the blurring line between business and technical engineer, and software supply-chain for SaaS integrations.
SHOW: 575
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SHOW NOTES:

• Salto (homepage)
• Companies today have, on average, 800 SaaS applications
• Salto (OSS code) - manage business applications by code

Topic 1 - Welcome to the show. You have a broad background in engineering and entrepreneurship. Let’s talk about your background and what led you to create Salto.

Topic 2 - There is a big trend happening, where companies are using more and more technology outside of the “central IT” groups. This includes quite a bit of SaaS usage. But it also requires more than just vanilla SaaS. Let’s talk about this concept of a “business engineer”.

Topic 3 - How often do SaaS applications need customizations? How often does a business application require integrations across multiple SaaS services?

Topic 4 - Walk us through a day in the life of a business engineer, and what’s involved in some of the integrations? How much is being able to code, and how much

Topic 5 - Integrations can be complicated, not only to build, but also to maintain. How does Salto simplify the creation and life cycle of these integrations?

Topic 6 - Salto is available as OSS, software and SaaS. What seems to be the best usage model for certain use-cases or types of businesses?

FEEDBACK?

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Aaron (@aarondelp) and Brian (@bgracely) discuss the biggest trends from 2021, and make bold cloud computing predictions in 2022.
SHOW: 577
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SHOW SPONSORS:

• CBT Nuggets: Expert IT Training for individuals and teams
• Sign up for a CBT Nuggets Free Learner account
• Megaport - Network as a Service Platform
• Try Megaport - Cloud Connectivity Simplified

SHOW NOTES:
PODCAST BUSINESS:

• Crossed out 11yr anniversary
• We crossed 500 shows (March ’21)
• Most listens in history, up about 20% from last year
• We launched Cloudcast Basics (4 seasons)
• We launched the Sunday Perspectives shows
• We got named #1 Cloud podcast
• We got named top 20 security podcasts
• Listeners in 130 countries | 4200 Cities
• IPOs from our guests - $2.678B
• VC Funding for our guest - $2.516B

TRENDS and MAJOR STORIES from 2021:

• COVID pandemic continued, although some parts of many businesses opened up as vaccines became available.
• Working from Home seems to be a very real, long-term possibility for many in Tech. 25% of workers changed jobs (via LinkedIn)
• AWS - $60B, Azure - $68B, GCP - $15B
• AWS has new leadership. re:Invent felt very different.
• ARM is making a big push in the cloud (and Mac M1)
• This idea of “supercloud” or “overlay cloud services” is gaining traction - companies like Red Hat, Snowflake, MongoDB, Confluent, CockroachDB, etc. are growing quickly as SaaS services, even when the cloud has a native service.
• Cloudflare is making a move to chip away at AWS’ profits (egress networking)
• Digital Ocean is making a bigger push around SMB cloud and developers
• VMware become independent again (from Dell)
• Cloud providers still haven’t acquired legacy software companies to get into the on-premises data centers. They keep adjusting their offerings (Outposts, Arc, Anthos)
• Kubernetes keeps growing, but the hype has slowed down and moved to other areas adjacent to Kubernetes (Service Mesh, eBPF, etc.)
• Software-Supply-Chains and DevSecOps “shift left security” are now heavily funded industry segments.
• The metaverse, Web3, Crypto, NFTs are all starting to get a lots of hype (and confusion)

2022 PREDICTIONS:

• Our 2020 Predictions from last year
• Our 2021 Predictions from last year

AARON’s PREDICTIONS

• Zero Trust Models (again...) - Also security has been/will be the hardest part of cloud and hot job market will continue
• Microsoft will become top public cloud worldwide, AWS will fall to #2
• Google will settle into 3rd, 4th, even 5th spot...

BRIAN’s PREDICTIONS

• Alphabet/Google decides if they still believe they can get to #2 by 2023
• We’ll start seeing the first generation of ex-AWS people starting new companies

FEEDBACK?

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Adam Jacob (@adamhjk, CEO/Founder @thesysteminit) talks about the evolution and intersection of DevOps 2.0, Infrastructure as Code (IaC), and what’s next

SHOW: 907

SHOW TRANSCRIPT: The Cloudcast #907 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

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

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"

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SHOW NOTES:

• System Initiative website
• Adam on The Cloudcast #729

Topic 1 - Welcome back to the show. We last spoke mid-2023. For those that missed that show, tell us about your background...

Topic 2 - When we last spoke, we talked about DevOps 2.0. Give everyone an update on the state of the industry. DevOps 2.0, IaC, etc. Where are we at in that journey? For instance, what’s broken with IaC in the existing approaches and why a new approach?

Topic 3 - One thing I’ve noticed in research for this topic is the move to visual and UI to conceptualize the environment and the corresponding actions. APIs and command lines will always have a place but what are your thoughts on this trend? I personally fall asleep every time someone gives a talk an industry conference and they pull up the command line for their demo. But, I’m also a visual learner.

Topic 4 - When I’ve thought about both DevOps and IaC in the past, my mind immediately jumps to both complexity and dependencies. What do developers today have to consider and have we made any advances here?

Topic 5 - Are there new metrics for success? With DevOps is was number of code commits, with IaC it was number of seamless deployments and actions. What do development teams look for today as the consider new platforms and tools?

Topic 6 - I can see this being an area that could be impacted by AI in a few ways: 1. the summarization of large amounts of data 2. Digital Twins and simulations and 3. Agentic AI performing tasks based on conditions. What are your thoughts on AI here?

Topic 7 - If anyone out there is interested, what’s the best way to get started?

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