HCIE-Cloud case studies
HCIE-Cloud · Put your knowledge to work in context.
HCIE is the Expert tier of Huawei Career Certification, the top of a three-level ladder that runs Huawei Certified ICT Associate (HCIA), Huawei Certified ICT Professional (HCIP), and Huawei Certified ICT Expert (HCIE). Huawei describes the programme as a talent development system and certification standard aimed at developing ICT professionals for the digital era. The Expert level sits above Associate and Professional and is organised by technical field; Huawei's published roadmap groups fields under headings such as ICT Infrastructure, Basic Software & Hardware, Cloud Platform & Cloud Services, and Project Management, with individual tracks including Computing, Storage, Datacom, WLAN, Security, Transmission, Access, 5G, and LTE. Candidates typically work as cloud or infrastructure engineers, solution architects, or presales and delivery specialists who design, deploy, and operate Huawei platforms and services. The HCIE-Cloud case studies are 5 cases and about 3,414 words.
1Three-AZ Billing Database: Synchronous Replication and Quorum Placement
A private cloud region has three availability zones. AZ1 and AZ2 are 0.4 ms apart; AZ1 to AZ3 is 1.8 ms; AZ2 to AZ3 is 0.6 ms.
641 words, about 3 min2VMware-to-Private-Cloud Migration with a 10-Hour Cutover Window
An enterprise is migrating 220 VMs, using 45 TB, from three VMware clusters to a private cloud. The only link is 1 Gbps and is shared with production.
707 words, about 4 min3Flash-Sale Autoscaling Causing Database Connection Exhaustion
An e-commerce platform runs 24 application VMs behind a load balancer. The autoscaling group is CPU-target based: minimum 12, maximum 60, target 55%.
680 words, about 3 min4DR Seeding and RPO Feasibility over a 200 Mbps Link
Region A holds 300 TB of object storage, 40 TB of Oracle database, and 12 TB of file data. Region B is the DR site, connected by a 200 Mbps dedicated link that sustains 160 Mbps.
666 words, about 3 min5Stateful Kubernetes Workloads with Local Volumes and Aggressive Scale-In
A container platform runs 60 microservices on 40 worker nodes across three AZs. Twelve workloads are StatefulSets: Kafka, Elasticsearch and PostgreSQL.
720 words, about 4 min