Welcome! This survey focuses on edge reliability, failure handling, and release practices. Please answer based on your current workload(s). Your responses are confidential and reported in aggregate.
Which edge use cases are you currently working on? Select all that apply.
- IoT/IIoT telemetry or control
- Video analytics or computer vision
- AR/VR or real-time interaction
- Retail POS or in-store systems
- Gaming or real-time multiplayer
- AI/ML inference at the edge
- Content delivery or CDN workers
- Offline-first mobile/web
- Autonomous/robotics
- Industrial gateways
- Other
What is the primary runtime/environment for your edge workload?
What overall availability target do you aim for on critical edge paths?
Do you maintain SLIs/SLOs specifically for edge components?
- Yes, for most edge components
- Yes, for critical paths only
- Partially defined
- No
- Not sure
What targets are typical for your edge services?
At what end-user error rate (%) do you typically trigger a rollback for edge changes?
In the past 90 days, which failure modes affected your edge workload? Select all that occurred.
- Network partition or high packet loss
- DNS or CDN routing issues
- Cold starts or warmup delays
- Certificate expiry or clock drift
- Configuration drift/mismatch
- Cache inconsistency or stale data
- Device resource exhaustion (CPU/RAM/storage)
- Upstream dependency outage
- Datastore write conflicts
- Inconsistent model versions at edge
- Timeout/retry storms
- OTA/update failure
Which patterns do you use under intermittent connectivity? Select all that apply.
- Write-behind with background sync
- CRDTs or conflict-free merges
- Local-first storage with reconciliation
- Event sourcing with replay
- Queued writes with exponential backoff
- Graceful degradation/limited offline mode
- Block writes until online
Rank your first responses to a major edge degradation (top = most likely first action).
Which signals do you actively monitor for edge reliability? Select all that apply.
- Latency percentiles (p50/p95/p99)
- Success/error rate
- Cold start rate
- Cache hit ratio
- Sync backlog size or queue depth
- Device heartbeat/uptime
- Resource usage (CPU/memory/disk)
- TLS/cert errors
- Offline duration per device/site
- Version drift across sites
- Custom business KPIs
How effective are your alerts at promptly detecting edge incidents?
Attention check: To confirm you’re reading the questions, please select “I am paying attention.”
Before releases, how often do you run the following for edge?
How often do you deploy changes to edge components?
Which safeguards are in your release process? Select all that apply.
- Feature flags
- Staged rollouts
- Canary by PoP/region/site
- Auto-rollback on SLO breach
- Policy checks in CI/CD
- Two-person review/approval
- Signed releases/attestations
- SBOM/vuln scan gates
Allocate 100 points across the areas below where investment would most reduce edge incidents next quarter (total must equal 100).
What is your primary role?
How many years have you worked with edge workloads?
Organization size (employees)
Where do you primarily operate edge workloads? Select all that apply.
- North America
- Europe
- APAC
- LATAM
- Middle East
- Africa
- Global/multi-region
Approximately how many active edge sites/devices do you manage?
Anything else we should know about your edge reliability context or priorities?
Max 600 chars
AI Interview: 2 Follow-up Questions on your edge reliability practices
Thank you for participating! Your input helps us improve understanding of edge reliability needs.