Jon Myer Podcast

Shayna Daly from Polytechnic Consulting joins Ingram Micro's AWS Partner Spotlight to discuss how their strategy-first approach differentiates them in the AWS partner channel — especially when working with federal, state, and local government clients navigating legacy systems and complex procurement cycles. Shayna also shares how Ingram Micro's Accelerated Development Program helped fast-track their AWS practice's growth.Key Takeaways🎯 Strategy before technology — Unlike partners who jump straight to implementation, Polytechnic starts by understanding why a solution is needed before recommending how to build it — ensuring long-term fit, not just a quick deployment.🏛️ Insider knowledge of government constraints — Having worked inside government organizations as employees or consultants, Polytechnic understands the unique procurement cycles, budgets, and legacy technology realities that make government IT modernization anything but one-size-fits-all.🔐 Customized network modernization, not out-of-the-box — Their secure network modernization process — discovery, solution architecture, then customized Palo Alto deployment — is tailored to each environment rather than dropped in as a generic template.🚀 An extension of the team, not just a vendor — Ingram Micro's Accelerated Development Program gave Polytechnic technical expertise, go-to-market guidance, and enablement resources that sped up their AWS practice maturity significantly.Timeline00:00 – Welcome & introductions00:20 – What is Polytechnic Consulting?00:45 – What differentiates Polytechnic from other AWS partners01:43 – What Polytechnic brings to government agencies specifically03:01 – Overview of secure network modernization services03:28 – Their step-by-step process: discovery, architecture, deployment04:29 – How Ingram Micro's Accelerated Development Program helped05:31 – Closing thoughts & thanks

Lisa from Ingram Micro joins this episode of Ingram Micro Insider to break down how the Industry Solutions Organization helps AWS partners break into public sector — from leveraging contract vehicles like OMNIA, NCPA, and GSA, to accessing a dedicated grant writer and underused business intelligence tools. Lisa shares practical advice on where new partners should focus first, how to build credibility fast, and the biggest myths holding partners back from public sector success.Key Takeaways📝 Contracts turn months into days — By having partners operate as the prime under Ingram Micro's existing contracts (OMNIA, NCPA, GSA, and the newly awarded SUPSIC), partners skip the bid/quote process and can close deals in days instead of months.💰 A dedicated grant writer is a hidden weapon — Many school districts and public entities don't even know funding exists; Ingram Micro's in-house grant writer finds, writes, and manages grants end-to-end so partners can focus purely on selling.🎯 Start with state/local & education, not federal — New partners often chase the biggest federal opportunities first, but state and local government and education are actually the easiest, fastest entry points into public sector.🧭 "Don't try to boil the ocean" — The fastest path to credibility and success is going deep on one vertical (e.g., education or healthcare) with real subject matter expertise, rather than spreading thin across every market.Timeline00:00 – Welcome & introduction00:48 – Why Ingram Micro built a public sector cloud practice01:31 – Biggest obstacles partners face selling into public sector02:18 – How contract vehicles accelerate deals04:08 – Busting the "public sector takes forever" myth05:04 – How Ingram Micro's grant writer fills the funding gap06:45 – The most underused tool: business intelligence platforms08:33 – The #1 mistake new public sector partners make09:07 – The fastest way to build credibility10:35 – Final advice: "Don't try to boil the ocean"

Derek Ross from TrueMark joins Ingram Micro's AWS Partner Spotlight to explain why being an AWS-only implementation partner lets his team go deeper than generalist competitors — from smarter VMware modernization and landing zone governance to cost optimization and secure enterprise AI on Amazon Bedrock. Derek shares how TrueMark helps lean IT teams in education and government scale confidently without sacrificing compliance or control over their data.Key Takeaways🎯 AWS-only means real depth — Unlike partners who spread across GCP, Azure, and on-prem, TrueMark's exclusive AWS focus lets former AWS solutions architects go deep on cloud-native services rather than offering generic, shallow expertise.🏛️ Built for lean teams, not big budgets — TrueMark's landing zone and infrastructure-as-code work is specifically designed for two-to-three-person IT teams in education and government managing 100+ workloads — leaving them equipped to self-manage after the engagement.💰 Funded assessments, smarter cost outcomes — TrueMark partners with AWS to help fund migration assessments and implementation, right-sizing each workload (rehost, replatform, or even move to SaaS) rather than defaulting to a blanket "lift and shift."🔒 Enterprise AI without losing control of your data — Using AWS Bedrock and SageMaker, TrueMark helps government and regulated customers access models like Claude, Llama, and DeepSeek while keeping their data fully isolated — addressing the #1 fear legal teams and CIOs have about AI.Timeline00:00 – Welcome & introduction00:21 – "More than a migration partner" — TrueMark's philosophy01:04 – How TrueMark's modernization approach differs from lift-and-shift02:29 – Landing zones, infrastructure as code & governance at scale03:47 – Optimizing cost and performance together04:48 – Moving enterprise AI from experimentation to production05:55 – Choosing the right AI model for the use case06:39 – Closing thoughts

Will St. Clair from Practical Acceleration joins Ingram Micro's AWS Partner Spotlight to discuss how his team — all former AWS healthcare leaders with nearly 30 years of combined experience — is helping providers, payers, and health tech companies deploy agentic AI safely and at scale. Will shares why healthcare has a uniquely high bar for AI deployment, and how Ingram Micro's Accelerated Development Program helped his new company punch above its weight from day one.Key Takeaways🏥 Former AWS healthcare leaders, now independent — Practical Acceleration's founding team spent a combined ~30 years at AWS building health data interoperability tools, EHR deployments, and supporting Amazon's COVID diagnostics business — now applying that experience as an exclusive AWS partner.⚖️ Healthcare has a uniquely high bar — Deploying AI in healthcare requires proving improved patient care, stronger security posture, reduced risk, and earned trust from patients and clinicians — not just technical capability.🚧 The "last mile" problem is the real challenge — Powerful AI models open up new use cases, but governance, guardrails, and evaluation are what separate a working demo from a safe, production-ready deployment.🚀 Punching above their weight with Ingram Micro — The Accelerated Development Program gave this brand-new company faster go-to-market speed, access to higher-tier AWS partner benefits, and confidence to approach customers of any size.Timeline00:00 – Welcome & introductions00:21 – Who is Practical Acceleration?00:46 – The team's background at AWS01:27 – What differentiates Practical Acceleration from other AWS partners02:23 – How they help healthcare organizations solve real problems03:08 – Opportunities & challenges of agentic AI in healthcare04:10 – Advice for a customer just getting started with agentic AI05:03 – How Ingram Micro's Accelerated Development Program helped

Eric Evans and Charlie Clayton from Hanabyte join Ingram Micro's AWS Partner Spotlight to discuss how regulated organizations can move fast in the cloud without sacrificing security or compliance. They break down Hanabyte's "cradle to grave" approach — from mock audits and knowledge transfer to blurring the line between compliance and engineering — and how their Ingram Micro partnership helps clients navigate NIST, CMMC, FedRAMP, and HIPAA requirements.Key Takeaways🐕 "Shepherding," not gatekeeping — True to their German Shepherd mascot, Hanabyte guides regulated clients through cloud adoption end-to-end, but their explicit goal is teaching clients to operate the system themselves — not locking them into a managed service.📋 Compliance isn't a binder nobody reads — Instead of building shelf-ware documentation, Hanabyte runs clients through mock audits, deep technical discovery, and continuous knowledge transfer so compliance actually holds up when a real auditor shows up.⚙️ GRC engineers blur the lines — Hanabyte's "compliance engineers" combine deep regulatory knowledge (CMMC, FedRAMP) with hands-on engineering, accelerating implementation using six years of battle-tested, audited automation.💰 Compliance is a business driver, not a checkbox — Every engagement starts by understanding the real business impact of not modernizing — lost contracts, fines, or an inability to compete — to build the ROI case leadership needs to approve the work.Timeline00:00 – Welcome & introductions00:33 – Is "move fast" vs. "stay compliant" really a real tension?02:06 – Making compliance more than a checkbox exercise03:55 – Shared responsibility & the "shepherding" philosophy05:43 – First decisions that matter most for regulated AWS clients07:13 – Why compliance is a continuous process, not one-and-done08:04 – Selling to different personas: engineers vs. the C-suite09:35 – Where advisory ends and implementation begins11:41 – First move for a nervous, modernization-minded leader13:13 – Understanding what's really at stake for the business

Nathaniel from InfoCap joins this AWS Partner Spotlight with Ingram Micro to unpack what makes agentic AI fundamentally different from both traditional workflow automation and today's generative AI — and why accountability, not capability, is the real challenge in government adoption. Nathaniel explains how InfoCap builds observable, auditable AI systems that reduce case backlogs while keeping humans firmly in the loop on final decisions.Key Takeaways🤖 Agentic AI acts, it doesn't just answer — Unlike earlier AI that generated predictions or answers, agentic AI actually performs the work itself — completing complex casework, applications, and adjudication tasks that previously required a human.🔀 Not the same as workflow automation — Traditional workflows follow predefined "if this, then that" paths; agentic AI operates within guardrails and policies but chooses its own path through a near-limitless set of possible steps.🔍 Accountability is the real bottleneck — The hardest part of deploying agentic AI in government isn't the technology — it's defining who is accountable when an agent's decision is wrong, since "you can't hold an agent accountable."⚖️ Agents do the digging, humans make the call — InfoCap's approach has agents handle the research and due diligence behind a decision (often 95% of the work) while leaving the final, accountable determination to a human.Timeline00:00 – Welcome & introduction00:21 – What makes agentic AI different from recent AI adoption01:10 – How agentic AI differs from traditional workflow automation02:10 – Where work actually gets stuck today03:56 – When does a human need to be in the loop?05:15 – Moving beyond the "black box" — observability & accountability07:29 – How InfoCap builds accountable, transparent automation08:35 – How agentic AI reduces backlogs without sacrificing oversight09:35 – Where InfoCap fits in the government AI landscape

David from Global Paradigm joins Ingram Micro's AWS Partner Spotlight to explain how their "Next Gen MSP" model goes beyond traditional break-fix IT support — pairing strategic, transparent cloud guidance with their AI-powered help desk product, Inteledesk. David shares how this approach is cutting mean-time-to-repair by up to 60% and helping mid-market organizations turn IT into a true business asset.Key Takeaways🔧 Beyond "keeping the lights on" — Instead of just maintaining legacy systems on contract, Global Paradigm proactively advises clients on when it's time to modernize — even if that means recommending change over the status quo.🤖 AI-powered help desk, 60% faster — Inteledesk cuts through repetitive "is it plugged in?" troubleshooting scripts, delivering a 30–60% reduction in mean-time-to-repair by getting straight to the root issue.🔍 "Glass box," not black box — Unlike traditional MSPs that obscure who's working on your account, Global Paradigm gives full visibility into staffing and process — with the explicit goal of eventually equipping clients to run it themselves.🔒 Security matches your most sensitive data — AI tools like Inteledesk are protected with the same security rigor as customer databases or healthcare records, addressing a top concern for regulated industries.Timeline00:00 – Welcome & introduction00:29 – What makes Global Paradigm different from a traditional MSP?02:35 – Ending "drive-by selling" in IT services03:42 – Introducing Inteledesk, their AI help desk product06:07 – Why mid-market companies choose Global Paradigm over larger MSPs07:13 – "Glass box" transparency vs. the traditional black-box MSP08:45 – Securing AI tools for regulated industries09:59 – What a typical engagement looks like (18 months to full results)11:07 – Seeing results in the first 90 days

Ingram Micro sits down with Moses and Nick from TGIX to explore why so many AI initiatives stall out in proof-of-concept and never reach production. They break down TGIX's holistic approach to AI transformation — from infrastructure and data pipelines to security — and share real examples of helping public sector organizations modernize for the AI era.Key Takeaways🧩 Stitching it all together — Most AWS partners specialize in one lane (migration, data, security). TGIX's differentiator is a holistic view across infrastructure, data pipelines, and applications so nothing gets left disconnected.🏗️ Foundation before flash — Organizations chasing the newest AI models without solid technical foundations rarely scale past proof-of-concept; the ones that succeed invest in infrastructure first.🚗 Old architecture, new workloads — Cloud environments built pre-AI weren't designed for it (the "two-lane road" / "EV on horse-and-carriage roads" problem), so refactoring is often unavoidable, not optional.🎯 Work backwards from mission outcomes — TGIX starts every engagement by understanding the client's business/mission drivers, then identifies infrastructure and data gaps before recommending any AI buildout.Timeline00:00 – Welcome & introductions00:29 – What problems is TGIX solving?01:19 – Why AI requires a full technology overhaul02:13 – TGIX's nonprofit + GenAI competency combo03:33 – Do cloud environments need refactoring for AI?05:15 – What an AI transformation process looks like07:19 – Balancing speed vs. doing it right08:26 – Why you can't just "layer" AI onto old systems09:56 – Real transformation example: Medicare/Medicaid fraud detection11:47 – Staying ahead of AI instead of playing catch-up

What does "off the grid" actually mean — and is anyone ever truly disconnected? In this episode of the Jon Myer Podcast, JD, founder of CommandProm, breaks down what life is really like living off-grid on unzoned land in the Rocky Mountains of Montana.JD walks through how a school-bus RV "snowbirding" habit turned into a permanent, mortgage-free life off-grid: buying raw land on a whim, converting a one-room cabin into a full living space, and building a solar power system from scratch — all without giving up modern tech like Starlink internet, an Xbox, a 4K TV, or even AC.🚌 Off-grid didn't happen overnight — it started with weekend school-bus trips that grew into a full move. ⚡ Watts, not voltage, are what actually matter when sizing a solar system. 💰 Grid power quoted at $40K — solar ended up cheaper and more capable. 🔋 40,000 watts of battery storage covers overnight use, even in winter. 📡 Starlink + incoming fiber prove off-grid doesn't mean offline. 🛒 The real tradeoff is convenience — grocery runs are a half-day trip, not a quick errand. 🪓 Don't romanticize it — off-grid living is real work, so check local zoning first.YouTube Timeline (Chapters)00:00 – Introduction: What does "off the grid" really mean?00:35 – Where JD lives now: remote Montana, 5 miles from the mailbox01:44 – How it started: snowbirding in a converted school bus03:04 – Finding the land on Zillow and buying it on a whim07:34 – Life without indoor plumbing: outdoor bathroom & shower in Montana winters08:38 – Electricity reality check: $40,000 grid quote vs. DIY solar10:44 – Understanding watts: sizing a solar system that runs AC, dryer, and well pump13:49 – Battery bank capacity and surviving a week with zero sun17:11 – Staying connected: Starlink, incoming fiber, and remote work23:13 – JD's advice for anyone considering going off-grid

In this AWS Partner Spotlight, Ingram Micro sits down with Jagdish and Sunil from Prijal to unpack their AWS journey — from Kubernetes and observability solutions in production to cutting-edge Edge AI and conversational business intelligence powered by Amazon QuickSight. Hear how Prijal leveraged Ingram Micro's Accelerated Partner Program to compress their go-to-market timeline and unlock new customer opportunities.Key Takeaways🚀 Proven in production — Prijal has real, live AWS workloads (EKS-based containerized apps, observability tools) running for 1.5+ years, cutting mean time to repair by ~70%.🌐 Edge AI for disconnected environments — Prijal pushes cloud-trained ML models out to edge locations (defense, healthcare, utilities, manufacturing) so operations continue even when cloud connectivity drops, then syncs data back to keep models sharp.💬 Conversational BI with QuickSight — Instead of static dashboards, execs can ask natural-language questions on the fly and get dynamic visual answers — no waiting on the dashboard team.🤝 Ingram Micro as an accelerator — The Accelerated Partner Program gave Prijal templates, hands-on guidance, and executive access that dramatically shortened their path to AWS's next partnership tier.Timeline00:00 – Welcome & introductions00:32 – Who is Prijal?01:52 – AWS technical capabilities & certifications03:32 – Bringing "information dominance" to the cloud04:38 – What is Edge AI?06:58 – Edge AI in action: defense, utilities, manufacturing08:25 – Conversational BI with Amazon QuickSight11:41 – How Ingram Micro shaped Prijal's go-to-market strategy13:17 – "A game changer" — the partnership payoff14:06 – Closing thoughts

Ray from Project Host joins Ingram Micro's AWS Partner Spotlight to discuss how their 20+ years supporting government and regulated cloud workloads has evolved into a fast, flexible path to FedRAMP and DoD authorization for ISVs. Ray shares how Project Host recently helped clients achieve full FedRAMP authorization in under four months — and what their growing AWS and Ingram Micro partnership unlocks for software vendors trying to break into the federal market.Key Takeaways🏛️ From best-kept secret to go-to partner — After 20+ years quietly serving regulated cloud workloads, Project Host recently earned AWS FedRAMP High certification and is now leaning hard into visibility through the AWS and Ingram Micro ecosystem.⏱️ 4 months, not 2–3 years — Using a reintroduced sponsorship model, Project Host took ISV clients like Siemens and Jamis through full FedRAMP authorization in under four months — a new record compared to the traditional 9–12+ month (or multi-year) timeline.🤝 An extension of your team, not a consultant — Unlike a "figure it out yourself" or pure-consulting model, Project Host takes end-to-end ownership of compliance — from kickoff through continuous monitoring and annual re-certification.💰 80% of ISV clients are already on AWS — With authorization now in hand, Project Host is positioned to capture a large share of ISVs trying to sell software into federal agencies, backed by Ingram Micro's discounting and support infrastructure.Timeline00:00 – Welcome & introduction00:35 – Project Host's 20-year journey & FedRAMP High certification01:49 – Balancing compliance requirements with business growth04:01 – Lessons learned supporting regulated cloud environments05:03 – Who Project Host's typical customers are (ISVs)05:46 – What the compliance journey looks like start to finish07:27 – Typical timelines: 9–12 months vs. a 4-month fast track08:57 – How AWS and Ingram Micro complement Project Host's platform10:51 – Trends shaping the future of government cloud compliance13:03 – What sets Project Host apart

Sanjay from CloudGov — the engineer who led the launch of AWS Control Tower — joins Ingram Micro's AWS Partner Spotlight to unpack why cloud costs spiral out of control, why AI spend behaves nothing like traditional cloud consumption, and how CloudGov's Commitment Shield and Token Shield products bring real-time financial and security governance to multi-cloud, AI-driven enterprises.Key Takeaways🏗️ Governance without killing agility — Sanjay's Control Tower work at AWS proved you can give developers fast, self-service cloud access without sacrificing security — a principle CloudGov now applies to multi-cloud and AI governance.💸 Three teams, no accountability — Engineering doesn't see cost, finance doesn't understand usage patterns, and procurement isn't in the room when technical choices are made — creating a governance gap no single team can close alone.🏎️ "There's only one minute in a minute" — Unlike fixed cloud compute, AI token consumption has no ceiling, misaligning provider incentives (sell more tokens) with customer incentives (spend wisely) — the "Ferrari to the grocery store" problem.🔒 AI needs its own security layer — Traditional endpoint security tools weren't built to catch PII/PHI/PCI leaking into AI prompts; Token Shield intercepts sensitive data at the token level before it ever reaches the model provider.Timeline00:00 – Welcome & introduction00:27 – Lessons from launching AWS Control Tower02:18 – Applying that pattern to multi-cloud & AI governance03:05 – Why cloud costs are so hard to see and control05:31 – Why disciplined teams still overpay (the commitment problem)07:47 – Why AI spend behaves differently than cloud spend09:46 – The "Ferrari to the grocery store" problem & Token Shield10:57 – The deeper risk: who's using AI, on what data13:09 – Why Ingram Micro was the right distribution partner

Sam Price of GlobalMed joins Ingram Micro's Public Sector Partner Spotlight to discuss how satellite connectivity, portable telehealth clinics, and AWS-powered technology are closing the healthcare access gap for rural and underserved communities. Sam shares how GlobalMed partners with providers, government agencies, and acquisition platforms like SourceWell to get care moving fast — without the red tape.Key Takeaways🛰️ Technology finally caught up — Satellite connectivity, $50B in federal funding, and post-COVID telehealth adoption are converging at the same moment to make rural care access possible at scale.🚐 Clinics that come to you — GlobalMed's portable, trailer-deployed telehealth clinics can be set up in a parking lot in days, offering audiology, cardiology, dermatology and more without waiting on brick-and-mortar construction.🤝 Augmentation, not replacement — The tech is designed to make nurses, doctors, and PAs more effective — turning an on-site nurse into the "hands, eyes, and ears" of a remote specialist — not to replace clinical staff.📝 Procurement is the hidden barrier — Funding alone doesn't solve access; GlobalMed put its solution on the SourceWell nationwide contract so states can buy in without a lengthy RFP process and risk losing their funding window.Timeline00:00 – Welcome & introduction00:26 – What is rural health transformation, and why does it matter?02:30 – Satellite connectivity + $50B in federal funding03:40 – Bringing specialty care into the home06:03 – Are patients more honest with AI/telemedicine than in-person?07:52 – What is GlobalMed doing to drive rural health access?09:29 – Biggest barriers rural communities face10:20 – Inside the portable pop-up telehealth clinic11:35 – Making procurement easier via the SourceWell contract13:19 – How tech, partnerships & funding create sustainable solutions

On this episode of the Jon Myer Podcast, Will Horn — founder, CEO, and Managing Technologist at GDNA — explains why enterprise-grade AI has historically been out of reach for startups and SMBs, and how agentic AI is finally leveling the playing field. Will breaks down GDNA's "listening first" philosophy, the maturity curve businesses move through when adopting AI, and where he sees agentic B2B automation heading next.Key Takeaways🚪 The gap is closing, not gone — Enterprise AI capability used to require dedicated teams and budgets SMBs didn't have; agentic AI now lets small businesses attach directly to their own "ground truth" data and compete on the same level.👂 Listening is creation — GDNA's core philosophy: if you miss foundational alignment in the first 10–15% of a project, no amount of technical execution will fix a misdiagnosed problem.📈 AI adoption has a maturity curve — Most SMBs move from general tools (ChatGPT/Claude) → platform solutions (like Amazon Q) → fully bespoke builds, and the right fit depends on where a business actually is, not where they wish they were.🤝 Trust is the real transformation — The hardest part of adopting agentic AI isn't the tech, it's the behavioral shift of letting an agent take over logic work a person used to do themselves.Timeline00:00 – Intro: why enterprise AI has missed SMBs00:58 – Why enterprise AI keeps missing the companies that need it most02:20 – Attaching directly to "ground truth" data sources04:13 – Why listening first matters more than implementation07:19 – Meeting a business where it actually is09:29 – When companies think they need agentic AI (but don't)10:33 – Cutting through AI tool hype and noise12:09 – What a successful manual-to-agentic transformation looks like14:07 – Inside a typical GDNA strategy session15:30 – Where agentic AI and B2B automation are headed next🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

AI doesn't have a conscience - WE do! Jon Myer sits down with JD, founder of Command Prompt, to discuss the hard truths about AI accountability, open source survival, and why developers must OWN their code, regardless of whether AI wrote it!We explore the elephant in the room: all major AI models are trained on stolen intellectual property. But is that acceptable if it solves bigger problems? JD breaks down AI hallucinations, the concept of "AI slop," why business doesn't care about code quality (only product quality), and how legal contracts will hold developers liable for AI-written code!Plus: The future of open source requires chain of evidence, digital signatures, and human accountability. Students using AI for theses should FAIL. Gen X will never retire because we'll need to validate all this AI-generated garbage. And yes, AI will never truly CREATE - it only regurgitates and responds!🎙️ TIMELINE:0:00 - AI Accountability & Stolen IP Problem2:14 - AI Hallucinations & Code Review Required4:21 - Bad Actors & AI Slop6:36 - Validation Problem (AI Reviewing AI)7:29 - Business Doesn't Care About Code Quality10:31 - Open Source Role & Chain of Evidence13:10 - Power Structure & Who's Accountable14:40 - Assistance vs Dependence Explained15:03 - 20-Year Veterans Can Spot Problems16:01 - Students Using AI Should FAIL18:04 - Gen X Never Retiring (Validation Burden)19:55 - Screen Bans & Critical Thinking23:20 - AI Regurgitates, Never Creates24:35 - AI Can't Have Independent Ideas25:20 - Final Truth: Only Humans Build or Destroy🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization