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When hybrid cloud beats public or private
Give a scenario like regulated data plus bursty compute; keep sensitive data and legacy systems on-prem, run scalable or customer-facing workloads in public cloud.
Designing for portability across two clouds
Abstract via containers, Terraform, and open standards; avoid proprietary managed services.
Hybrid cloud bursting from a VMware footprint
Evaluate VMware Cloud on AWS, Azure Arc, Outposts; address connectivity, identity, and data gravity.
Launching a virtual machine in the cloud
Pick image, instance type, network placement and security, attached storage, and access keys.
What a machine image is and why it matters
An image is a frozen template of OS, software, and config; it makes launches identical and fast.
Designing an auto-scaling web tier
Front with a load balancer, define a launch template, an auto-scaling group across AZs, and target-tracking policies.
On-Demand vs Reserved vs Spot pricing
On-Demand for unpredictable bursty work, Reserved or Savings Plans for steady baseline, Spot for interruptible fault-tolerant jobs.
Managing state across ephemeral instances
Keep instances stateless, externalize sessions to Redis, data to managed databases, files to object storage.
The instance metadata service explained
A local endpoint exposing instance identity, region, and temporary role credentials.
Optimizing low-latency VM-to-VM networking
Cluster placement groups, enhanced networking and SR-IOV, larger instances for more bandwidth.
Cost-effective fault-tolerant batch processing
Spot fleets across types, a durable work queue, idempotent checkpointed tasks, retries.
Object vs block vs file storage
Object stores flat keyed blobs over HTTP, block gives raw volumes for one VM, file offers a shared hierarchical mount.
Serving user images securely from object storage
Store images in a private bucket, serve via a CDN with origin access control, use signed URLs for private content.
Diagnosing high I/O wait on a database volume
Check IOPS and throughput against the volume limit, look for burst-credit exhaustion, then move to provisioned IOPS or a larger volume.
Shared file system access across many VMs
Use a managed NFS service like EFS or Filestore; watch per-operation latency, throughput modes, and metadata-heavy small-file workloads.
Protecting object storage from accidental loss
Enable versioning, MFA delete or object lock, cross-region replication, and least-privilege policies.
Object storage tiers and lifecycle automation
Tiers trade storage price for retrieval cost and latency; automate with lifecycle rules or intelligent tiering.
Maximizing object-store throughput for small files
Spread keys across prefixes for partition parallelism, batch small files, parallelize and use multipart uploads.
Object store vs NFS consistency models
S3 gives strong read-after-write per object with no partial updates; NFS offers close-to-open with shared mutable files.
Block storage availability across AZ failure
Block volumes are AZ-bound, so use snapshots, synchronous replication, or app-level replication, trading cost for lower RTO/RPO.