AWS + Google Cloud…
Working Together?
Well, 2025 is already weird.AWS and Google Cloud — two vendors who normally compete like siblings fighting over the front seat — just announced a joint multicloud networking service. Yes, you read that right. AWS + Google. Together. On purpose. Somewhere, an architect is crying tears of joy.Somewhere else, an MSP is updating their service catalog.And somewhere deep inside AWS, someone probably had to whisper:“Fine… we’ll work with them… but we don’t have to like it.” But jokes aside — this is a legitimately big deal. What Actually Happened? AWS and Google Cloud rolled out a new private, high-speed, secure multicloud link between the two platforms. Think of it like a VIP tunnel between clouds: No public internet No funky routing hacks No—“why is data transfer more expensive than the actual compute we used?”—surprises Lower latency Higher throughput Much better security posture Basically, they built the cloud version of the private hallway celebrities use to avoid paparazzi. Why This Matters (Especially If You’re an MSP, VAR, or Anyone Running Hybrid/Multi-Cloud) For years, companies running workloads in more than one cloud have dealt with The Big Multicloud Problem™: “Everything works great… until the data needs to move everywhere.” Data egress charges. Latency. Routing complexity.We’ve seen it all. This new AWS–Google high-speed link does two magical things: It makes multicloud performance not suck. It reduces one of the most painful cost black holes: cross-cloud data transfer. If you’re supporting customers across AWS AND Google Cloud, this is an absolute win. A Real Customer Story: The Multicloud Migration Meltdown We had a customer a while back — very enthusiastic, very ambitious, lots of whiteboards. They announced they were “going multicloud” because: “We want resiliency, vendor portability, and the strategic advantage of cloud arbitrage.” (All excellent reasons, by the way.) Four weeks in, they called us.Tone: “I’m not panicking… but I might start soon.” Their problem? Data transfer between AWS and Google was costing more than the actual applications.Like… significantly more. Every time their analytics pipeline pulled data across clouds, it was like lighting money on fire and waving it around for fun. We had to rearchitect the workflow, set up caching, redesign the sync patterns — and THEN put guardrails in place so they wouldn’t accidentally nuke their budget again. If this new private AWS–Google link had existed back then? We could’ve saved them weeks of suffering, thousands of dollars, and at least two emergency meetings involving spreadsheets and energy drinks. So… Are AWS and Google Becoming Friends? Let’s not get carried away.They’re not grabbing beers together after work. But what they are doing is acknowledging reality: Customers are multicloud whether vendors like it or not. This announcement is: Practical Customer-driven And honestly long overdue Multicloud isn’t going away.Hybrid isn’t going away.Data isn’t magically moving less. So now, instead of duct-taping clouds together with VPNs, tunnels, firewalls, wishful thinking, and a junior engineer named Kyle… We get an actual supported, private, enterprise-grade connection. What This Means for FinOps and Cost Management Oh yes — let’s talk money. This new service: 1. Reduces unpredictable egress charges The #1 killer of cloud budgets. 2. Improves forecasting accuracy Because you finally know your cross-cloud patterns. 3. Eliminates the “mystery jump” in data-transfer costs You know the one.The one that shows up on page 47 of your bill. 4. Makes multicloud architectures viable for more orgs Especially those that avoided it purely because of cost risk. For MSPs and VARs?This is a new managed service offering waiting to happen. Your 2025 Multicloud Checklist If you’re juggling AWS + Google Cloud: Map existing data flows between clouds Analyze what % of your bill is data egress Re-evaluate architectures that rely on cross-cloud sync Check if the new private link cuts costs (it will for many) Rebaseline your FinOps dashboards with cleaner cross-cloud data Build governance policies to prevent cross-cloud “surprise spikes” This is the year multicloud finally becomes… reasonable. Where EverythingCloud Fits Into All This So here’s the truth: A new AWS–Google connection doesn’t magically fix your cloud costs.It just gives you a better pipe to move your very expensive data through. You still need visibility.You still need governance.You still need anomaly alerts.You still need someone watching the architecture so you don’t create a $32,000 Friday Afternoon Surprise™. That’s exactly where EverythingCloud comes in. We’re not just a tool.We’re not just consultants. We’re your FinOps Platform + Embedded Optimization Team… Your multicloud cost control tower. We give you: Unified AWS + Google + Azure cost intelligence Data-transfer visibility across providers Automated anomaly detection Architecture support when you’re planning hybrid workflows Monthly “FinOps-in-Five” summaries Real humans making sure you never trigger the Cross-Cloud Meltdown of Doom™ Whether you’re handling one cloud or several, our job is simple: You build cool stuff.We make the cloud bills behave. If you want to understand whether this new AWS–Google private link can save you money… Or if your cross-cloud data flows are quietly plotting against you… Reach out anytime. And yes, we’ve fixed it….. errr i mean are in the process. 🙂 -d
Azure Costs Spiked?
Here’s What To Do in 2026
You know that feeling when you open your Azure bill and instantly question every major life decision you’ve ever made?Yeah. Same. Welcome to cloud computing in 2025. Cloud costs should be predictable. Like your mortgage, or the price of a black coffee, or the fact that your dog will always bark the exact second you jump on a video call. But Azure? Azure likes to surprise you. Azure is the Houdini of budgets. And honestly, that’s why FinOps has gone from “nice to have” to “we need this yesterday.” AI Has Entered the Chat (and the Bill) Here’s the plot twist: everyone and their grandma suddenly “needs AI”… Even if they’re just generating PowerPoints with motivational stock images. Azure has rolled out AI-powered insights, smarter autoscaling, anomaly detection, commitment recommendations… all super helpful, but also super good at revealing just how quickly cloud spend can escape its enclosure. Which means the old “look at the bill once a quarter” model is dead.Your cloud is not a houseplant. It does not thrive on neglect. A Real FinOps Story: The Case of the $18,000 Tuesday Let me tell you about one of our customers.Names changed to protect the innocent (and the guilty). They called us with that specific tone that says:“My CFO just Slacked me at an ungodly hour, and I am not emotionally prepared.” Their Azure bill had jumped $18,000 overnight. Now, $18k isn’t catastrophic in enterprise land…But it is catastrophic to whoever has to explain it. We dug in. Our anomaly detection system had already flagged a massive data egress spike. After some detective work, we found the culprit: A developer (bless their heart) had accidentally triggered a full-region backup every 15 minutes.For eight hours. When we told them, there was silence.Not angry silence.Not confused silence.But the “I’m going to take a walk and stare into the distance for a while” kind of silence. The good news? Because we had governance guardrails and early-warning FinOps automation in place, we stopped the bleed, fixed the issue, reversed part of the charges, and put in autoscale protections so it never happens again. Moral of the story:FinOps isn’t about cost-cutting. It’s cloud therapy. Azure Is Growing Up (Finally) To Microsoft’s credit, Azure has gotten a lot more FinOps-friendly this year. Some highlights: FOCUS billing format (cleaner data = fewer mental breakdowns) Better autoscale and hibernation recommendations Azure Advisor becoming a slightly judgy but helpful robot Improved anomaly detection for AI-driven workloads Azure is still Azure… But at least now it’s trying. FinOps Isn’t a Tool — It’s a Lifestyle This is the part people don’t love to hear: “FinOps isn’t a project. It’s a practice.” You don’t “do FinOps.”You become FinOps. That means: Tagging everything Real budgets and alerts Actual cost accountability Shutting down dev environments after hours Monthly cost reviews Not spinning up new regions “just to test something cool” A FinOps-enabled Azure environment isn’t fancy. It’s consistent, disciplined, and governed. That’s what saves money. Where Everyone Is Heading Companies are shifting from reactive “turn things off” mode to proactive “run cloud like a business” mode. That means: Cost per business unit Cost per product Cost per environment Forecasting tied to launches Architecture reviews where cost matters as much as performance Do this well, and your CFO stops treating the cloud bill like a mysterious weather pattern.Engineering stops treating cost reports like spam.And suddenly? Everyone’s in alignment. Your upcoming 2026 Azure FinOps Checklist Want fewer surprises? Do these: Use FOCUS for billing Tag everything (yes, everything) Enable auto-shutdown and autoscale Review RIs/Savings Plans quarterly Implement anomaly alerts Tie cloud costs to business KPIs Make “monthly FinOps review” an actual meeting, not a dream Where EverythingCloud Fits In (AKA: How We Actually Help) Here’s the truth: FinOps today can’t be solved by tools alone.And it also can’t be solved by hiring a consultant once a quarter and hoping for the best. You need both: Intelligent automation Human expertise That’s why we built EverythingCloud. We’re not just a tool.We’re not just a consultancy. We’re a FinOps Platform + Embedded Optimization Team… your FinOps Control Tower. What that means for you: Automated anomaly detection Clean, business-ready reporting Azure + AWS cost intelligence Weekly engineering touchpoints Monthly “FinOps-in-Five” executive summaries Architecture guidance whenever you need it And real humans watching your cloud so you don’t wake up to a surprise bill You build cool stuff.We make sure the cloud doesn’t quietly set your budget on fire while you sleep. If you want a no-pressure benchmark or want to see how your environment compares to similar organizations, reach out anytime… This is what we do.
When “You Should” Becomes Expensive
Just because they say you should… doesn’t mean you actually should. There’s a dangerous trend in cloud operations — one supercharged by AI tools that push you to “just click and go.” AWS Trusted Advisor says do X…Azure Advisor says enable Y…SOC 2 says enforce Z…CIS, NIST, ISO, PCI… it never ends. And while these recommendations are well-intentioned, it all comes back to something my dad used to say when I was a kid: “If your friends jumped off a cliff, would you do it too?” At 10 years old, it annoyed me.Somewhere around creeping up on 50 — deep in the world of navigating cloud chaos — that advice suddenly makes perfect sense. Blindly following every AWS/Azure/compliance suggestion… without questioning it… is the cloud version of walking right off that proverbial cliff. If something is 100% required, critical for protection, or truly essential? Go for it. No hesitation. But that’s rarely the case. Most recommendations fall into a big grey area where the value is unclear.That’s where you need to think — not click. Cloud maturity isn’t about doing everything.It’s about doing the right things. The Problem: Over-Engineering Masquerading as Best Practices Cloud platforms and compliance frameworks create a subtle pressure to say yes to everything: Yes… enable the toggleYes… turn on the extra encryptionYes… expand the retention periodYes… deploy Multi-AZ everywhereYes… replicate across regionsYes… adopt every SOC 2 control “just in case” Individually harmless.Collectively?A ballooning, expensive, noisy environment. This is how teams end up with systems that look “perfect” to auditors and dashboards… while draining budgets and adding zero business value. A Real EverythingCloud Story: Oversized Infrastructure Gone Wild A few months ago, EverythingCloud stepped into an AWS environment shaped by years of well-intentioned “best practice” checklists… basically a contender for Most Compliant Cloud Ever. When we asked the team why everything was turned on, the answer was always: “Because that’s what AWS recommends…”“Because Trusted Advisor flagged it…”“Because SOC 2 says so…” (Not to pick on AWS — Azure does the same thing. Compliance FOMO is real 🙂) Here’s what we actually found — and yes, it was that big: Seventy-three EC2 instances running 24/7, including workloads used only a few hours a day Forty-six RDS clusters, all Multi-AZ, powering internal tools with almost zero downtime impact Petabytes of logs stored indefinitely because “SOC 2 wants log retention” Four different security agents on every EC2 instance because each framework suggested its own Cross-region replication enabled for nearly everything — even workloads untouched for months Backups running hourly across hundreds of EBS volumes, even though the data changed weekly A fully-provisioned DR environment costing thousands per month… that hadn’t been tested in over a year It was the cloud equivalent of wearing five helmets, three seatbelts, and a parachute to ride a bike. My dad’s cliff-jumping line echoed in my head. AWS doesn’t know your business.Azure doesn’t know your workload patterns.Compliance frameworks don’t know your actual risk tolerance.And AI definitely doesn’t know your context — at least not yet. The Insight: Best Practices Are Menus, Not Mandatory Checklists Best practices are suggestions — not commandments. The real question isn’t what AWS recommends.It’s: “What is the business value of doing this?” If the value is unclear or nonexistent…you’re burning money, not reducing risk. Examples: Multi-AZ for internal tools with $0 downtime cost Hourly backups for workloads updated once a week Cross-region replication without regulatory need Retaining logs indefinitely without compliance requirements Stacking multiple security agents because each framework expects one This is the cloud’s version of following your friends straight off the cliff. How EverythingCloud Fixed It (The Right Way) We implemented a context-aware architecture strategy aligned with real-world FinOps principles: Selective Compliance Mapped SOC 2, CIS, and NIST to actual business context — adopting controls that mattered, skipping those that didn’t. Right-Sized Reliability Critical workloads stayed Multi-AZ.Internal and low-impact workloads moved to single-AZ with automated restore. Backup Policies That Actually Make Sense Daily for daily-changing systems.Weekly for low-change workloads.Hourly only where truly needed. Rationalized Security Tools One tool per requirement — not four.Less noise. Less cost. More clarity. Intentional Decision-Making We replaced the “turn everything green” culture with thoughtful, evidence-backed decisions. Results: Immediate Wins, Zero Risk Within a few weeks: 41% cost reduction Dramatically fewer alerts Cleaner audit posture Lower operational overhead No loss of resilience Zero increase in security risk A team that finally understood the why behind each decision The surprising part? They became more compliant after we removed half the stuff. Because compliance isn’t about doing everything.It’s about doing the right things — and being able to explain why. The Real Silent Killer in Cloud Architecture It’s not AWS.It’s not Azure.It’s not AI.It’s not SOC 2. It’s blindly doing what you’re told without thinking. Cloud maturity comes from intentional decisions — not default toggles. Or as my dad would say: “If your friends jumped off a cliff, would you do it too?” In the cloud, the answer should always be no. But if there’s a lake on the other side of that cliff?Heck yeah — I’m jumping.Just not with my cloud architecture. If you’re wondering whether your cloud is full of hidden “shoulds,” we’re happy to help you find out. -d