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TFP simplified your billing. It didn't simplify your cost risk.   IBM Tailored Fit Pricing eliminates the monthly peak alarm most mainframe teams have been managing for years. That's a genuine improvement.   But three risks move underground the moment you sign — and most teams don't discover them until they're expensive.   We mapped all three in this carousel:   → Why IBM's own monitoring tools add to the bill they're measuring → The dev/test container ratchet: one R4HA spike, permanent expansion → Why this year's consumption sets your renewal baseline   Each one is manageable. None of them come up in IBM's standard TFP conversation.   Swipe through — and if you want the worked numbers behind these risks, the full TFP guide is linked below.   Full blog: https://lnkd.in/equY2Rgq TFP guide: https://lnkd.in/enmJGGrS   Which of these three caught your team off guard?

Everyone moving to IBM Tailored Fit Pricing hears the same thing: predictable costs, no more peak management. Nobody mentions that your dev/test container only moves in one direction. Under TFP's Dev/Test Solution, IBM sets a container size for your dev/test workloads. I f your Rolling 4-Hour Average ever exceeds that container — even once, even from a routine end-of-quarter data refresh — the container permanently expands to the new peak. Permanently. There is no mechanism to reduce it back. And that's just Risk 2. Risk 1: You can't monitor your TFP consumption for free. IBM's native monitoring tools consume meaningful MSU — which under TFP adds directly to the bill you're trying to manage. It's a self-defeating loop. Risk 3: Your consumption today sets your renewal baseline. Every MSU you let drift upward this year becomes your cost floor at the next negotiation. TFP eliminates the monthly peak alarm. It doesn't eliminate cost risk. It moves it underground. We wrote the full breakdown — what each risk looks like in practice, and what actually controls it. → https://lnkd.in/e4rEPZfK Which of these three caught your team off guard first?

Should your organisation switch to IBM Tailored Fit Pricing? Five questions to find out — before IBM starts the conversation. 1️⃣ Are your workloads becoming harder to predict? Real-time transactions, API integrations, on-demand digital services running alongside batch — if yes, AWLC peak management is getting more expensive. TFP may reduce that friction. 2️⃣ Is your R4HA optimisation still delivering results? If your team's AWLC discipline is working and costs are declining, the case for switching is weaker than it looks. 3️⃣ Could IBM call in the next 6–18 months? Your last 12 SCRT reports set your TFP baseline. Every month of unoptimised consumption before that conversation is a month of higher price locked into a multi-year contract. 4️⃣ Do you have significant dev/test expansion planned? TFP's Dev/Test Solution prices incremental capacity at a fraction of production cost. If you're growing your development environment, TFP's economics improve considerably. 5️⃣ Do you value billing certainty over flexibility? TFP means committing to a baseline for 3–5 years. AWLC gives you more room to adjust if your workload or business changes direction. 3 or more ‘yes’: TFP is worth a serious conversation with IBM. Fewer than 3: AWLC with proper cost management may serve you better — at least until your SCRT data is where you want it. The full decision guide: https://lnkd.in/eijMDDhF #mainframe #finops #AWLC #TFP

IBM's TFP pitch sounds simple: predictable costs, no more peak management. Here's what the conversation usually skips: the billing model shift changes everything about when cost management actually matters. Under AWLC, you can reduce your bill any month with smart workload management. Under TFP, that lever is gone the day you sign. Swipe through our 7-slide decision framework — and read the blog before your next IBM pricing conversation. Read the blog: https://lnkd.in/gZERPpwD

IBM's TFP conversation starts on IBM's timeline, not yours. Tailored Fit Pricing promises something that genuinely appeals to every mainframe leader: predictable monthly costs, no more peak management, no more invoice surprises. Here's what the brochure leaves out. IBM calculates your contract baseline from your last 12 Sub-Capacity Reporting Tool records. Whatever your average annual MSU consumption was during those 12 months is the number you'll pay on for the next 3 to 5 years. Under AWLC, cost management is continuous — soft capping, workload scheduling, WLM optimisation all reduce your Rolling 4-Hour Average, and your bill follows. Under TFP, that lever is gone the day you sign. There is no mechanism to reduce costs post-signature. This doesn't make TFP the wrong choice. For many organisations, it's the right one. But it changes everything about when cost management work actually matters: not during the contract, but before you negotiate it. The organisations that enter TFP with an already-optimised environment lock in a lower baseline. The ones that transition without that preparation pay more — for the full term. We published the full decision guide : what changes, what you give up, and how to know if the switch is right for your environment. → https://lnkd.in/gQEwTKrf Are you heading into an IBM pricing conversation with your SCRT data where you want it to be? #mainframe #ai #finops #TFP #zetaly

Two mainframe pricing models. One AI cost problem. Very different bills. AWLC customers see it immediately — every month, in their MLC invoice. TFP customers don't see it until IBM sends the year-end reconciliation. By then it's also locked into next year's baseline. Same 3× MIPS growth rate confirmed by IBM's CEO. Completely different mechanisms. Completely different timing. The infographic below maps both — and what controls the cost curve in each case. → Read the blog: https://lnkd.in/gT2BS2EJ → Free ZAC simulation for AWLC customers: https://lnkd.in/gMveS5Fw #mainframe, #finops, #AI

IBM's CEO just made the most important mainframe cost statement of 2026. On April 22, Arvind Krishna confirmed it publicly: customers running Watsonx Code Assistant for Z are scaling MIPS capacity three times faster than those who have not. His CFO repeated the same figure in the same call. This isn't a forecast. It isn't a vendor claim. It's the company that sells you the mainframe — telling investors, publicly — that AI workloads are accelerating capacity growth at a rate the industry has never seen. For mainframe leaders, this is the number to bring to your next budget conversation. What it means depends on your IBM pricing model: - AWLC: A 3× faster capacity growth rate flows directly into your Rolling 4-Hour Average billing peak — and your monthly bill — every single month. - TFP: AI workloads accumulate silently above your annual baseline. You won't see the invoice until year-end. By then, that overrun also becomes next year's cost floor. 65% of mainframe organizations are already running generative AI in z/OS (BMC Survey 2025). If you're in that majority, your cost trajectory has already changed. We wrote the full breakdown — what the 3× figure means by pricing model, why AI-led migration remains a high-risk bet (Gartner: 70%+ failure rate), and what to do this quarter. Read the full analysis: https://lnkd.in/gsh-UE6F Run a free ZAC simulation on your own data: https://lnkd.in/g36QRHji #AI, #mainframe, #mainframefinops

Far from being a thing of the past, the #Mainframe remains the invisible engine of the global economy. Its reliability, security, and processing power make it irreplaceable in sectors where failure is not an option 🖥️ The future of #IT will be built on a smart balance between legacy strength and modern innovation. The mainframe is not disappearing. It is evolving! And those who understand how to leverage it will keep their competitive edge 🔎 #ITStrategy #DataDriven #Innovation #Zetaly

The #mainframe has been declared dead more times than we can count. Yet in 2025, it continues to power the most critical systems on the planet 🌎 At #Zetaly, we see the same myths resurface again and again: the mainframe is outdated, too expensive, or incompatible with modern IT strategies. The truth is very different! Modern mainframes are #CloudConnected, #DataDriven, and more cost-efficient than ever. They are a foundation for digital stability and performance 📈 It is time to rediscover what the mainframe really is: a platform that quietly keeps the world running 🚀 #ITModernization #Innovation #Cloud #MainframeOptimization

In every #ITdepartment, one question keeps coming back: how can we truly control our #Mainframe costs without sacrificing performance or innovation? Tracking the right #KPIs helps you turn raw #data into concrete action, highlight inefficiencies, and make smarter investment decisions 🔎 At #Zetaly, we help organizations see beyond the surface. Because when you can measure precisely where your IT budget goes and how your systems perform, you gain what matters most: control, clarity, and confidence ✅ Discover the 5 KPIs every IT leader should follow to drive sustainable optimization ⬇️ #ITOptimization #CostManagement #DataDriven