Skill gap heatmap
Managers can see which certification domains need support across cloud, network, DevOps, and security teams.
Enterprise readiness
Help teams close cloud skills gaps before projects depend on them.
Daskerel can grow from individual certification preparation into a workforce readiness platform for cloud migration, infrastructure modernization, security, and platform engineering.
Team quote approval
Request seats before payment so lab budget and onboarding are reviewed.
Teams starts from £79+ / $99+ / €99+ excluding VAT or applicable tax; business quote per named seat/month, with annual anchors from £790+ / $990+ / €990+ excluding VAT or applicable tax; business quote per named seat/year. UK consumer prices show the total including 20% VAT. Clearly labelled business quotes are VAT-exclusive. For other markets, Stripe shows the final tax-inclusive total before payment. This approval form only collects the operational details needed to approve the quote: organisation name, billing contact, country, seat count, procurement needs, support needs, lab usage, learner invitation flow, reporting expectations, and Teams/employer-use terms. Stripe Checkout collects the formal billing address and supported VAT/tax ID details after approval and before payment. Employer or partner context can also be sent to partnerships@cloudforgeacademy.co.uk.
Seat quantity is one named learner per paid seat.
High lab usage or larger cohorts require owner/billing approval before payment.
Stripe Teams prices are configured for quote, invoice, or approved quantity checkout only.
Full billing address and supported VAT/tax ID details are collected in Stripe Checkout after approval, not in this quote form.
Billing owners, employers, and invited learners must follow the Teams, employer-use, evidence, data, lab, and branding clauses.
Team signals
Cohort learning paths
Teams can follow role-based paths for solutions architects, cloud engineers, network engineers, platform engineers, data analysts, BI analysts, cyber security engineers, DevOps engineers, ML engineers, and AI engineers.
Practical validation
Learners produce diagrams, lab evidence, mock-test progress, and troubleshooting notes instead of only watching videos.
Governed membership
Paid access, acceptable use, copyright controls, privacy notices, and security expectations are visible from launch.
Competitive edge
Built to compete beyond simple video libraries.
- Domain-level practice with answer explanations and weak-area review
- Study planner that connects target dates to weekly actions
- Portfolio evidence for career interviews, not just exam memorisation
- Professional architecture case studies for senior cloud design decisions
- Flashcards, cheat sheets, labs, mock exams, and executive review templates in one learning journey
- Multi-cloud and infrastructure coverage in one subscription
- Enterprise readiness language for managers, mentors, and team leads
- Transparent legal, copyright, privacy, GDPR-style, and security materials
Mentor dashboard
Give mentors the evidence they need to coach better.
Cohort skill heatmap by domain, track, readiness score, and weekly progress
Evidence review queue for labs, capstones, screenshots, runbooks, notebooks, and diagrams
Mentor assignment workflow for weak domains, interview drills, project challenges, and retakes
Exportable learner readiness report for employers, bootcamps, teams, and internal academies
Community project challenges
Turn learning into public, practical proof.
Challenge 01
Secure cloud landing zone
Design guardrails, IAM, logging, networking, and cost tags for a new cloud environment.
Challenge 02
RAG knowledge assistant
Build and evaluate a grounded assistant with trusted sources, citations, and safety controls.
Challenge 03
Cloud incident response
Investigate a leaked key, contain access, review logs, rotate secrets, and write the recovery report.
Challenge 04
Telecom edge blueprint
Design a private 5G and MEC architecture with latency, assurance, and security evidence.
Global production readiness
Built to scale with security, performance, operations, and cost discipline.
Daskerel should be deployed as a global, observable, autoscaling platform with cost guardrails before learner traffic and live lab usage increase.
Global scale
- CloudFront HTTPS edge distribution for global learners
- ECS Fargate service behind an Application Load Balancer
- Horizontal autoscaling from a three-task production baseline
- DynamoDB-backed entitlement and lab-session records
Security
- AWS WAF managed rules, IP reputation protection, and per-IP rate limiting
- Cognito authentication with signed learner sessions
- Secrets Manager for Stripe, Cognito, and provider secrets
- Private ECS tasks, least-privilege IAM, security headers, and separate lab sandboxes
Performance
- Static asset caching and compression at CloudFront
- CPU and memory target-tracking autoscaling
- Load testing for lessons, mock tests, checkout, webhooks, and lab-session creation
- p50, p95, and p99 latency tracking for learner-facing flows
Operations
- CloudWatch logs for ECS tasks
- Alarms for ALB 5xx errors, ECS CPU, and DynamoDB throttling
- Runbooks for auth, payments, labs, deploy rollback, high errors, and cost spikes
- Separate local, staging, and production environments
Cost optimization
- AWS Budgets with alert emails and cost allocation tags
- NAT gateway strategy and private endpoint choice based on traffic level
- CloudWatch log retention tuned by environment
- Lab expiry, cleanup, tagging, and provider cost evidence before high-usage plans scale