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# Zetaly: Founded in 2006, Zetaly specializes in optimizing mainframe systems. Zetaly offers a suite of solutions across FinOps, ITOps, and PredOps, helping businesses to rationalize resource allocation, enhance service levels, and effectively plan their long-term infrastructure needs.

## Sitemaps
[XML Sitemap](https://zetaly.io/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [How to lower TFP baseline before signing IBM’s contract](https://zetaly.io/blog/lower-tfp-baseline/): IBM is pushing mainframe customers toward Tailored Fit Pricing (TFP) at an accelerating pace. If your account team has started the conversation, the most valuable thing you can do is lower TFP baseline before signing — because the number IBM locks in will set your floor for the next 3 to 5 years.
- [Three TFP risks every mainframe customer needs to manage](https://zetaly.io/blog/three-tfp-risks-every-mainframe-customer-needs-to-manage/): If you've moved to Tailored Fit Pricing (TFP) — or you're about to — there are three TFP risks every mainframe customer needs to manage. IBM's pitch for TFP is built around simplicity: no more managing your peak hour, no more capacity planning anxiety, contractually fixed costs. That pitch is largely accurate. But simpler billing does not mean fewer cost levers. It means different cost levers — and the ones that matter under TFP are invisible until they bite.
- [AI mainframe cost: why it’s growing 3x faster and what to do about it](https://zetaly.io/blog/ai-mainframe-costs/): AI mainframe cost is now the fastest-growing line item in most IBM Z budgets. AI workloads on z/OS are mainstream: IBM's CEO has confirmed that customers running Watsonx Code Assistant for Z are scaling MIPS capacity three times faster than those who have not. For mainframe leaders, the strategic question is no longer whether AI affects your mainframe budget — it's how the cost trajectory will land under your IBM pricing model, and what to do about it now.
- [AWLC vs TFP: Should You Switch to IBM Tailored Fit Pricing?](https://zetaly.io/blog/awlc-vs-tfp/): The AWLC vs TFP decision is now front of mind for most mainframe leaders. When IBM introduced Tailored Fit Pricing in May 2019, the headline message was simple: predictable costs, aligned with how modern workloads actually behave. No more managing peaks. No more invoice surprises. Choose your container, sign a multi-year contract, and stop optimising the Rolling 4-Hour Average.
- [Best Data Observability Tools for Hybrid Environments](https://zetaly.io/blog/best-data-observability-tools-for-hybrid-environments/): In the ever-evolving landscape of IT infrastructure, the need for robust, comprehensive observability tools has never been more critical. Additionally, the complexity of integrating traditional mainframes with distributed computing environments continues to challenge IT professionals worldwide. This guide is designed to navigate the intricate world of observability tools that are equipped to manage these hybrid ecosystems effectively.

## Pages
- [Orange Keeps its Mainframe Software Costs Under Control](https://zetaly.io/ressources/orange-keeps-its-mainframe-software-costs-under-control/): Home »
- [Blog & News](https://zetaly.io/blog/)
- [Contact us](https://zetaly.io/contact-us/): Write to contact@zetaly.io for general enquiries and to support@zetaly.io for an existing case.
- [Careers](https://zetaly.io/careers/): Home »
- [About us](https://zetaly.io/about-us/): Zetaly builds software to help organizations optimize their mainframe systems. Its solutions span Mainframe FinOps, which rationalizes mainframe costs, and Mainframe Observability, which gathers and analyzes mainframe telemetry so teams across the business can see how those systems are performing. Founded in 2006, Zetaly is headquartered in Nantes, France, with a US office in New York.
- [Support](https://zetaly.io/support/): Zetaly provides technical documentation, case management, and release information for Zetaly Automated Capacity (ZAC), Zetaly Data Platform (ZDP), and Zetaly Service Intelligence (ZSI). Support cases are raised through the Zetaly support portal at portal.zetaly.io. The current version, IBM machine, and z/OS compatibility details for each product are published below.
- [Glossary](https://zetaly.io/solutions/finops/glossary/): Home »
- [Mainframe to Cloud Migration](https://zetaly.io/solutions/finops/mainframe-to-cloud-migration/): Moving workloads that are currently running on IBM Z—such as COBOL applications, batch jobs, and transaction processing—onto public cloud infrastructure is what is meant by mainframe to cloud migration. For suitable workloads it reduces compute costs and accelerates delivery, but for inappropriate ones it results in delays spanning years, costs more than the mainframe it replaced, and at times fails completely. The decision should be made at the level of the individual workload and not at the platform level, and it must begin with determining what each workload actually costs at the present time.
- [What is Mainframe FinOps ?](https://zetaly.io/solutions/finops/what-is-mainframe-finops/): Mainframe FinOps guide
- [Documents](https://zetaly.io/ressources/documents/): Zetaly’s mainframe FinOps resource library — whitepapers, case studies, and guides on IBM z/OS cost optimization, AWLC, TFP, and MLC management.
- [Pricing](https://zetaly.io/pricing/): Unlike traditional mainframe pricing models based on MSU consumption, Zetaly pricing is tied to your existing infrastructure, not your capacity. It is predictable and easy to budget.
- [Deployment & Support](https://zetaly.io/services/deployment-support/): Home »
- [Proof of Concept](https://zetaly.io/services/proof-of-concept/): A mainframe proof of concept installs and tests the solution directly inside your own environment to validate technical integration and functional fit. A proof of value is the right choice earlier, when you’re evaluating potential impact without installing anything in your infrastructure.
- [Proof of Value](https://zetaly.io/services/proof-of-value/): A mainframe proof of value focuses on demonstrating the business value and potential return on investment of a solution using your own data, on a dedicated cloud platform, without touching your existing infrastructure. A proof of concept goes further, testing technical integration directly inside your environment.
- [Services](https://zetaly.io/services/): We offer a comprehensive range of mainframe services to support our clients at every stage of their technological journey. Whether evaluating the value of our solutions before deployment, ensuring efficient integration, or providing technical expertise, we are here to ensure our solutions meet your needs and optimize your mainframe operations.
- [ITOps](https://zetaly.io/solutions/itops/): Mainframe IT operations (ITOps) is the team responsible for running and supporting the services an organization hosts on its IBM mainframe: keeping them available, managing resource use, and resolving issues as they come up. Zetaly gives IT operations a clear view of the mainframe environment, transparent resource distribution, and outside context to work with.
- [Mainframe Observability](https://zetaly.io/solutions/observability/): At Zetaly, mainframe observability is the ability to collect, understand and act on the operational data your mainframe produces. It covers two products: ZDP collects, enriches and manages the data at around 0.2% overhead, and ZSI turns it into dashboards by business domain that teams can read without a mainframe specialist.
- [Mainframe FINOPS](https://zetaly.io/solutions/finops/): The cost of IBM mainframe software is determined by your pricing model, and this pricing model in turn determines the actions you can take with regard to those costs. For most large enterprises, Monthly License Charges (MLC) make up the largest portion of the budget under control, and most teams only become aware of cost overruns after billing peaks (Forrester — The State of Mainframe, Global, 2025). The resources provided here cover mainframe cost optimization through three linked decisions: how to reduce MLC costs within your existing pricing model, how to assess IBM's move toward Tailored Fit Pricing (TFP), and what cloud migration actually requires for mainframe workloads.
- [Zetaly Resource Planning (ZRP)](https://zetaly.io/products/zetaly-resource-planning/): Home »
- [Zetaly Cost Control (ZCC)](https://zetaly.io/products/zetaly-cost-control/): Home »
- [Zetaly Service Intelligence (ZSI)](https://zetaly.io/products/zetaly-service-intelligence/): Home »
- [Zetaly Data Platform (ZDP)](https://zetaly.io/products/zetaly-data-platform/): Home »
- [ZAC Simulation](https://zetaly.io/discover-your-mainframe-savings-potential-with-a-free-roi-simulation/): Most mainframe savings tools give you a calculator built on generic industry averages. The free mainframe cost savings simulation from Zetaly works differently: Zetaly’s operations team works directly with your environment data to simulate exactly how Zetaly Automated Capacity (ZAC) would perform in your specific infrastructure, using your Logical Partitions (LPARs), your workloads, and your IBM pricing model. The result is a personalized mainframe savings report showing your current billing peak in Million Service Units (MSU), your projected peak with automated LPAR capacity optimization, and your projected Monthly License Charges (MLC) reduction.
- [Zetaly Automated Capacity (ZAC)](https://zetaly.io/products/zetaly-automated-capacity/): Home »
- [Home](https://zetaly.io/): Most of your mainframe bill is licensing, and most of that is set by usage peaks you can actually manage. Mainframe FinOps helps you control that cost instead of paying whatever lands on the invoice.

## Categories
- [AI](https://zetaly.io/blog/category/ai/)
- [Cost Reduction](https://zetaly.io/blog/category/cost-reduction/)
- [FinOps](https://zetaly.io/blog/category/finops/)
- [Observability](https://zetaly.io/blog/category/observability/)