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Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.

CloudFlare DDoS Protection
Sucuri DDoS Protection
MazeBolt
Imunify360
AWS Shield
Red Button
StackPath
Automated DDoS resilience testing platform. Discover exposed assets, simulate multi-vector L3-L7 attacks, and validate your DDoS defenses. Company name in, hardened infrastructure out.

Which is more popular?
Based on our record, CloudShell seems to be more popular. It has been mentioned 13 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | docs.cloud.google.com | ddactic.net |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Israel · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of CloudShell yet.
DDactic is an automated DDoS resilience testing platform for security teams that already own a CDN/WAF (Cloudflare, Akamai, Imperva, AWS Shield, Radware) but have never validated whether their protection actually covers their full attack surface. The platform discovers exposed assets, simulates...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
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Overall verdict
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CloudShell and DDactic.net.
DDactic.net's answer:
DDactic is the only platform that combines automated attack-surface discovery with multi-vector L3-L7 attack simulation from a fleet across 23+ cloud providers, and validates the customer's protection vendor configuration with stage-reprobe after each hardening change.
The Open Protection Index (OPI), Apache 2.0, gives customers a vendor-neutral 0-100 score they can benchmark over time. Most DDoS testing services run a single-vendor appointment-based simulation; DDactic runs continuous, multi-vendor, attacker-perspective testing.
DDactic.net's answer:
Three reasons:
Real bot-detection bypass research, with 25 vendor fingerprints catalogued (PerimeterX, DataDome, Akamai BotManager, Cloudflare Challenge, etc.), so attacks are not blocked by trivial defenses and customers see what their CDN/WAF actually allows through.
Protection-group-aware testing that maps which subdomains share fate with which origin, exposing the shared-fate risk that most teams miss because they only think about their flagship asset.
Vendor-specific hardening playbooks (Cloudflare, AWS Shield, Imperva, Akamai, Radware) validated by stage-reprobe after the customer applies them, not generic recommendations from a paper questionnaire.
DDactic.net's answer:
Security teams at companies that already pay for CDN/WAF protection (Cloudflare, Akamai, Imperva, AWS Shield, Radware) but have never validated whether the protection actually covers their full attack surface.
Typical buyer: CISO or VP of Security at mid- to large-sized enterprises in finance, gaming, e-commerce, healthcare, and government. Secondary audience: blue-team engineers and SRE teams running incident-response drills who need a controlled way to exercise their playbooks.
DDactic.net's answer:
After 4 years in DDoS engineering, I (Stav David) noticed the same gap in every customer engagement: enterprises pay six- and seven-figure sums for DDoS protection (Cloudflare Magic Transit, Akamai Prolexic, Imperva, AWS Shield Advanced, Radware DefensePro) and almost nobody actually tests whether the protection holds.
The industry-standard alternative is a vendor-led "DDoS test" delivered as an appointment: 4 hours, scheduled weeks ahead, run from a single ASN against the production target. That misses the entire L7 surface, does not probe IP rotation, and gives no per-vector data.
DDactic was built to fix that, with continuous distributed simulation across 23+ cloud providers, per-vector attribution, and stage-reprobe validation after every hardening change. Founded in 2026, based in Tel Aviv.
DDactic.net's answer:
Python/Flask backend on Dedibox bare-metal, TypeScript frontend on Cloudflare Pages, Go-based bot fleet orchestration across 23+ cloud providers, raw-socket + uTLS attack emitters for fingerprint-faithful testing, AWS Batch for ephemeral scan workers.
Share your experience with using CloudShell and DDactic.net. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


The Google Cloud Shell API empowers organizations to automate cloud operations, accelerate software delivery, and improve efficiency. By providing a programmatic interface for managing Cloud Shell environments, the API unlocks new... - Source: dev.to / over 1 year ago
Command-line (gcloud) -- Those who prefer working in a terminal can enable APIs with a single command in the Cloud Shell or locally on your computer if you installed the Cloud SDK which includes the gcloud command-line tool (CLI) and... - Source: dev.to / about 2 years ago
Gcloud/command-line - Finally, for those more inclined to using the command-line, you can enable APIs with a single command in the Cloud Shell or locally on your computer if you installed the Cloud SDK (which includes the gcloud... - Source: dev.to / over 2 years ago
Tracking DDactic.net since Apr 2026.
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