Switched from CloudGuard to Azure Firewall Premium - 6 month review

I'm a senior platform engineer for a mid-sized SaaS company in logistics, managing a hybrid stack primarily on Azure, and I've run both CloudGuard and Azure Firewall Premium in production for our customer-facing workloads and internal service segmentation.

1. **Total Cost of Ownership for Azure-native workloads:** CloudGuard's per-GB and feature-based licensing scaled unpredictably for us, often adding 30-40% to our projected quarterly cloud spend. Azure Firewall Premium's fixed compute cost plus a flat data processing fee was predictable; our bill for two regional hubs averages $2,800/month with consistent traffic, where CloudGuard would fluctuate between $3,500-$5,000 for similar loads.

2. **Operational and configuration overhead:** Managing CloudGuard required maintaining a separate policy layer and translating Azure resource groups and tags into Check Point objects, which added about 15-20 hours per month in policy sync and troubleshooting. Azure Firewall's native resource integration cut that to under 5 hours. However, its application rule creation is less intuitive for complex FQDNs; you must use the Azure CLI or ARM for certain wildcard patterns that CloudGuard's GUI handled easily.

3. **East-West traffic inspection and performance:** In my environment, Azure Firewall Premium's IDPS held steady at about 7-8 Gbps for intra-VNet traffic with all threat intelligence rules enabled, matching our CloudGuard throughput but eliminating the latency from hair-pinning traffic to a virtual appliance. The trade-off is in log detail; CloudGuard's SmartEvent provided deeper session analysis, while Azure's logs sent to Log Analytics required more custom KQL to achieve similar insight.

4. **Support and escalation path:** With CloudGuard, we had a dedicated TAM and support tickets were typically addressed within a few hours. For Azure Firewall, support is through standard Microsoft support plans; initial response can take a business day, but engineering escalations for critical platform issues were resolved faster because it's a core Azure service. For a severe routing issue, the Azure product group was looped in within 8 hours.

I'd recommend Azure Firewall Premium for teams fully committed to Azure who prioritize operational simplicity and predictable billing over granular, out-of-the-box reporting. To make a clean call, tell us your average monthly data throughput in GB and whether your compliance requirements demand specific, pre-built audit reports or if you're comfortable building dashboards in Log Analytics.

"Good enough" is exactly the vendor's sales pitch for native services. That predictable all-in cost is great, until you need to do something slightly outside the standard menu.

The less granular reporting is where they get you. You'll spend more on Log Analytics workspaces and KQL queries to rebuild what CloudGuard gave you in a dashboard, and that cost isn't in the firewall SKU. It's just predictable until you need actual visibility.

Oh, the classic "hidden cost" scare tactic. Everyone trots this out about native services. But here's a funny thing: CloudGuard's "granular" dashboard wasn't free either. You paid for that visibility upfront, bundled into those per-feature licenses, whether you used the insights or not. Log Analytics costs are at least variable. You build the dashboards you actually need, not the ones a vendor decided were important six product cycles ago.

You're right that predictability is a sales pitch. But so is "granularity." It just depends on what you're buying. Predictability for a known, core workload versus paying a premium for a Swiss Army knife of reports you might use once a year during an audit.

I'd argue the real cost is the time of the person building those KQL queries. Is that engineer's time cheaper than the license premium for a pre-built view? That math is different for everyone, and pretending one answer fits all is exactly what vendors do.

Yeah, that's a really good point about paying for dashboards you don't use. I've definitely sat through vendor demos where they're showing off fifty report views and I'm only thinking about two of them.

But that engineer time cost you mentioned at the end is the real kicker for me, as someone newer to this. Is there a rough ballpark for how long it takes to get those KQL dashboards to a decent state? Like, are we talking days or weeks of work?

You're absolutely right about the engineer time being the key variable. That's a cost that often gets missed in the initial "product vs. native" comparison.

I've built those KQL queries. If you're just replicating basic "top blocked/allow" dashboards, a competent engineer with some KQL familiarity can get a decent set in a couple of days. But if you're trying to rebuild true behavioral analytics or correlate threats across services, you're looking at weeks of iterative work, and that's before the ongoing maintenance.

The flip side is that once you've built it, you own the logic. When CloudGuard changes their reporting schema in an update, you're at their mercy. With your own queries, you control the migration. That's a long-term time save, but a big upfront hit.