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Things to look for in a Cato Networks demo for a multi-cloud deployment

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(@benjic)
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We're planning a multi-cloud setup (AWS and Azure) with a few on-prem sites. Our team is new to SASE, and we have a Cato Networks demo scheduled.

I want to make sure we ask the right things. Beyond just watching the UI flow, what specific features or details should we ask them to show for a multi-cloud context? I'm thinking about routing, cost visibility, and how policies apply across different clouds.

Also, are there any common demo pitfalls or "too good to be true" moments we should watch out for?


learning every day


   
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(@chrisw)
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Good starting points. Force them to show the routing table for a multi-cloud spoke. It's where the gotchas hide - like asymmetric paths breaking your HA setup.

Watch for policy inheritance. Ask them to show a rule blocking a port in AWS, then prove it doesn't also kill that traffic for your Azure dev environment. Demos often use a single "cloud" object, but real life isn't that tidy.

Biggest pitfall: their "cost visibility" is usually just data transfer volume. It won't map to your actual cloud bill line items. Ask them to show the report side-by-side with a sample invoice from AWS.


metrics not myths


   
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(@coffeegoblin)
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You're dead on about the cost visibility bait-and-switch. They'll show you pretty graphs of "data usage" that conveniently ignore the real killers: API gateway calls, NAT gateway hours, and VPC endpoint fees that their own tunnel traffic can trigger.

The side-by-side invoice request is a good test. If they fumble that, you know their TCO model is built on sand.


Buyer beware.


   
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(@cost_analyst_ray)
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Absolutely, the point about hidden cost triggers is critical. I'd push them to demonstrate their own PoP-to-cloud egress costs, which they often categorize as "infrastructure" and leave out of the customer-facing model. Their tunnel from AWS us-east-1 to a Cato PoP might travel over AWS backbone, incurring Data Transfer Out charges to the internet that appear on your bill, not theirs.

You must ask for a live breakdown of a simulated packet flow: from an Azure VM, through the Cato client, and to an internet destination. Have them itemize every potential cloud metering event it passes. If they can't map it to specific service line items like "Inter-Region Data Transfer" or "VPC Endpoint-GateWayLoadBalancer Hours," their visibility is superficial.

The side-by-side invoice test is strong, but go further. Demand they load a CSV of your actual last month's AWS Cost and Usage Report into their dashboard. If their tool can't correlate its own reported "optimized traffic" volumes with the corresponding cost lines in that report, the disconnect is operational, not just theoretical.


CostCutter


   
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(@brianc)
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That CSV test is a killer idea. It moves the conversation from "can you show me a report" to "can you explain my bill." I'd only add that you should ask for the same with Azure's detailed usage CSV, not just AWS. Their cost engine might handle one cloud provider's billing quirks better than the other's.

Also, watch their reaction to the PoP-to-cloud egress question. If they're transparent, they'll walk you through their own provider commitments and how they're billed. If they gloss over it or say it's "included," that's a red flag that their true cost model isn't fully surfaced.

One more thing on the packet flow - ask them to show that same flow but *without* their client, using the cloud's native routing, and compare the line items. That'll highlight what costs they're actually adding or shifting.


customer first


   
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(@henryg)
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Ask them to show you the actual latency between your planned on-prem sites and each cloud region. Their dashboard will show you a 'calculated' latency. It's usually based on clean lab tests, not the real world congestion you'll hit. Have them pull up a live trace from an existing customer's similar setup.

The 'single policy engine' they demo is a trap. It assumes your Azure and AWS security groups are identical. They never are. Make them build a policy that allows traffic from an Azure subnet but blocks the same traffic from an AWS subnet, using the same rule set. Watch how many extra objects they have to create. That's your future administrative overhead.

The big pitfall is watching a scripted flow. Tell them to break the demo. Disable a PoP and ask where the traffic goes, and what the cost impact is. If they can't answer on the spot, they're selling slides.


Your vendor is not your friend.


   
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(@docker_diver)
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Yeah, the "single cloud object" thing is a great point. I'm still getting my head around policies. Could you give a concrete example of how you'd set up that rule to block a port in AWS but not Azure? Like, what would you actually type in the UI - is it tags, separate site objects, or something else?


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(@code_panda)
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Solid advice in this thread already. For that demo, don't just let them show the happy path. Force a failure scenario.

Tell them to simulate a PoP outage during the live demo. Ask them to show you where the traffic reroutes in real-time on their map, and crucially, ask for the latency and cost impact of that new path. That's when you'll see if their "seamless" failover actually sends your Azure traffic on a world tour.

On policies, everyone's right about the single cloud object trap. Ask them to show you the object list. If you only see "AWS-VPC" and "Azure-VNet" as generic types, you can't write a rule for "Block S3 from our *production* AWS account but allow it from *development*." You'll need separate objects or tags for each account/VNet, which gets messy fast. Make them build that rule on the spot.


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(@cloud_security_sera)
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>If their tool can't correlate its own reported "optimized traffic" volumes with the corresponding cost lines in that report, the disconnect is operational

That CSV test is good, but you're assuming their tool even has a field for "cloud provider invoice line item." Most don't. They map traffic to *their* constructs (tunnel, app, site), not to your cloud bill's SKUs.

You need to see them ingest the CUR, then click on a spike in their own dashboard and have it highlight the exact matching lines in the CSV. If they can't do that live, their cost "integration" is just marketing.


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(@integration_ian)
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Exactly. The mapping is the whole point, and most tools can't do it.

They'll show you a bar graph of "AWS Data Transfer" next to a line graph of "Cato Optimized Traffic." Correlation isn't mapping. You need them to prove that spike on Tuesday at 2 PM was the 12,345 GB from line item `AWS-DataTransfer-Out-Bytes` in your CUR, not just a similar-looking trend.

If they can't click from their alert into the raw bill line, you're just looking at two separate reports glued onto the same dashboard. That's extra work, not insight.

Ask for the field mapping screen. If you don't see `sku` or `lineItem/ProductCode` in their schema, walk away.


Integration is not a project, it's a lifestyle.


   
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(@annaw)
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You've already got the right instincts focusing on routing, cost, and policies. Everyone's hitting on great points, especially the CSV mapping test and forcing a PoP failure.

Let me add one more angle for the multi-cloud policy piece: ask them to show you a *single* application accessed across both clouds. Like, show me a user reaching a CRM that's hosted partly in AWS and partly in Azure. Can their policy engine treat that as one application with a unified rule, or do you now have to manage two separate "CRM" objects? That's where the real daily friction lives.

And on the "too good to be true" front, watch closely when they switch between the AWS and Azure portions of the demo. If they use different jargon or the workflow seems to jump, it's a sign the integration isn't as seamless underneath. A truly unified system shouldn't change language per cloud.



   
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(@deploybot)
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Good point on forcing the with/without client comparison. That's the only way to see if their "optimization" is just moving charges from one cloud line item to another, or to their own hidden egress. If the demo can't toggle it live, they're hiding the delta.


Beep boop. Show me the data.


   
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(@andrewh)
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Great question, that's exactly where I'd get stuck too. I'm also new to this, but the advice here about asking for a real CSV mapping is really smart.

Could you ask them to show how a policy change logs in their system? Like, if you block a port for AWS later, can you easily find which Azure flows that might have accidentally affected? I'd worry about cross-cloud side effects.



   
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(@cloud_watcher_99)
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Totally, that's a great follow-up question to ask about cross-cloud side effects. The policy log search can be a real blind spot.

You want them to show you the audit trail for that rule change. Can you filter the logs to show *only* the denied flows in Azure that matched the criteria of your AWS-focused rule change? If that's not a one-click filter, you're in for some manual log sifting every time you tweak a policy.

I'd also ask to see if their change management can simulate the impact *before* you apply it. If they can't show you a "what-if" preview listing potential hits across all connected clouds, you're rolling the dice.


cost first, then scale


   
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(@crusty_pipeline)
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You're dead on about the PoP-to-cloud egress costs. That's where the shell game happens.

When they do that simulated packet flow, make them show you both paths simultaneously: one with their client installed, one without. The difference in the "VPC Endpoint-GateWayLoadBalancer Hours" line item on the hypothetical bill is the only real metric. If that number stays the same while their "optimized traffic" graph drops, they've just shifted the cost, not saved it.

And on the CSV mapping, don't let them get away with just ingesting the CUR. Ask them to run a diff between two months, then explain *why* a specific "DataTransfer-Out-Bytes" line item changed using their own event logs. If they can't trace a bill increase directly back to a policy change or a new application you onboarded, their integration is just a fancy viewer.



   
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