It needs less hardware. It cleans up your data before anything gets stored. It’s one edition instead of four. And it’s built to run AI agents when they arrive.
1 edition
Replaces NM · NO · HIO · FSO
up to 30–40%
Lower hardware footprint
Included
The observability pipeline, in the base platform
0
Locked features or paid upgrades
The decision behind the release
Infinity started with four costs our customers were carrying that they never should have. We fixed each one inside the product, before it could show up in a quote.
01
Buying more servers than the software should have needed.
Fixed02
Keeping every log and metric in full, with no simple way to say no.
Pipeline added03
Four editions, long comparison tables, and paywalls in front of a product you already bought.
Tiers retired04
Being told the next generation of features needs a different product.
Same platformObservability is expensive to run. It keeps everything, in full, forever, and you pay for it twice. Once for the software, and once for the servers underneath.
That worked while hardware got cheaper every year. It doesn’t any more. Server, memory and storage prices have climbed sharply around the world, and most vendors have simply passed the rise on to their customers.
We gave our engineers a different job: treat the customer’s hardware bill as a limit we have to design around.
Four foundations came out of that. Each one removes a cost. And each one makes the next one possible.
Hardware TCO
The problem
Hardware prices have gone up everywhere we sell. Observability needs heavy compute to take data in, and heavy storage to keep it. So the price rise lands on your infrastructure bill. Most vendors treat that as something outside their control. We treated it as a problem with our own engineering.
What we did
We made the hardware footprint the thing we had to design around in this release. We rebuilt how data comes in, how it’s stored, how it’s rolled up, how it’s indexed, and how efficiently our collectors run. Same device counts. Same retention. Same queries. Far fewer resources.
What it means for you
Fewer servers for every thousand devices you monitor. Less storage for the same retention. Lower cost underneath too, across hypervisor, power and rack space. And a shorter path to HA and DR, because staying resilient no longer doubles a bill that was already high.
A guide to the footprint · same deployment
This is a guide, not a promise. The real number depends on your mix of devices, how long you keep data, how often you poll, which add-ons you run, and your topology. Every deployment is sized properly against the official Motadata sizing matrix, and your quote comes from the finished sizing worksheet.
Foundation two compounds the saving. Data the pipeline never stores needs no disk to buy.
Observability Pipeline
Here is what the pipeline does today. There is room built in to keep adding to it.
We give your data structure the moment it arrives, whatever the format or the vendor. Logs, events, traps, flows and metrics all come in as fields you can search.
Why this counts as a foundation
The pipeline is what makes the other three hold up. It is why the hardware footprint came down: data you never store needs no disk. And it is why the platform is ready for agents, because an agent can only reason over data that has structure and context behind it. We built it as a control plane you can extend. The stages above are where it starts.
What it means for you
You pay in line with what your data is actually worth. Retention becomes a setting you change in minutes. Sensitive fields get masked before they are ever written. And incidents open with the context already attached.
Unified Infinity licensing
The problem
There used to be four ObserveOps editions: NM NO HIO FSO. Feature comparison grids. Paywalls in front of things you had already deployed the platform for. Weeks spent asking “which edition do I need?” when the real question was “what do I need to monitor?”
What we did
Now there is one edition: ObserveOps Infinity. You get the whole platform from day one: monitoring, topology, SLO, dashboards, AIOps, automation, the observability pipeline and security. You are counted only on what you monitor. Nothing is held behind a bigger plan, because there is no bigger plan.
And a second change that matters
Log and Flow used to be priced per GB per day. They are now priced per source. You are licensed on how many things you watch. If an application suddenly gets chatty, your license stays exactly where it was.
ObserveOps Infinity Platform
Base · full platform, incl. pipeline & AIOps
Monitored Device
Flow Monitoring
Flow Source / Exporter
Log Monitoring
Log Source
NCCM
Managed Network Device
APM
Instrumented App / Agent
RUM
Front-end Application
Terms: 1-year · 3-year · perpetual with ATS. Base SKU family MD-OO-PLT. Add-ons attach in any combination to the same edition. Quantities move within volume bands. The edition itself never changes.
Existing customers: nothing is forced. Your deployment carries on under the contract you have, and you move to Infinity when it suits you.
Agentic AI for observability
The problem
Most “AI in observability” is bolted on top of a data layer that cannot support it. An agent cannot reason over data that has no structure. It cannot act safely when it has no idea who owns a system or what it connects to. And you cannot trust it when nobody knows how far its actions reach. The gap shows up the moment a demo becomes a deployment.
What we did
We built the groundwork first, and that groundwork is the other three foundations. Structured, enriched, governed data gives an agent something it can reason over. One edition with nothing locked means agentic features reach every customer, on the plan they already hold. And the room we freed up in the hardware budget means there is capacity to run it.
What it means for you
Agentic features will be released onto this platform, on this license. Your deployment, your purchase and your instrumentation all stay as they are. Deploying Infinity today is how you get ready.
We parse and enrich as data arrives. That is the starting point for anything an agent reasons over.
Retention and masking run on policy. These are the guardrails that keep automation auditable.
Less noise, and patterns you would otherwise miss. Included in the base platform today.
A safe way to act. These are the hands an agent will use later.
Autonomous investigation and guided fixes. On this same platform and license.
Read it from where you sit
CIO · CFO
Head of Infrastructure · NOC
SRE · Platform Engineering
FAQ
Common questions about ObserveOps Infinity and what the platform does.
No. Two things changed, and both go in your favor. You need less hardware. And Log/Flow moved from per GB per day to per source, so your license no longer grows just because your data does. On top of that, things that used to be held behind a higher tier are now included. Your exact numbers are a conversation with your account manager. The direction of the model is lower cost and more predictability.
Every one of these four foundations cost us something. Years of engineering. License revenue we chose to leave on the table. And a pricing model that stays flat even as a customer’s data grows. We think that is the right trade. Building a product ecosystem is only worth it when the customer feels the benefit of the engineering.
Four foundations. One edition.