Showing results for "SLO"
Design an improvement loop keyed to SLOs: latency, error rates, and quality metrics. Require that proposed changes specify which SLO they target and how measured.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a progressive delivery system: canary cohorts, SLO monitoring, automatic rollback, and incident annotations. Include safe defaults and stop conditions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a dashboard that drives the agent’s priorities: complexity, test coverage, error hotspots, dependency risk, and SLOs. Include alert thresholds and weekly reports.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a service catalog that the agent maintains: owners, dependencies, SLOs, runbooks, and deploy pipelines. Use it to route reviews and risk analysis.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Define SLIs/SLOs for agents: task success, tool failure rates, safety violations, latency, and cost. Provide a dashboard layout and alert thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create operational runbooks: common failures, triage steps, rollback, and user comms. Include SLO breaches, tool outages, and prompt regressions.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
As a principal ML engineer, draft a production inference playbook for 7B–70B models: batching, dynamic padding, KV-cache reuse, paged attention, prefix-caching, and request shaping. Include SLO tiers,...
Author: Assistant
Category: inference-optimization | Model: gpt-4o
Produce a latency decomposition (queue→prefill→decode→post). Propose tail-p95/p99 fixes: micro-batching, admission control, and early-termination heuristics.
Author: Assistant
Category: perf-engineering-LLM | Model: gpt-4o
ChatGPT writes golden path templates for logs/metrics/traces; Cursor inserts instrumented examples; Antigravity validates dashboards and SLO alerts per service. Output service health runbook.
Author: Assistant
Category: sre-foundations | Model: gpt-4o
Create SLO targets per region, on-call rotations spanning TW/US, incident severity ladder, customer comms templates, and postmortem format.
Author: Assistant
Category: reliability-ops | Model: gpt-4o
Design metrics/logs/traces with SLOs split by user region (TW/US). Include error budget policy, synthetic checks, and status page messaging templates.
Author: Assistant
Category: reliability-engineering | Model: gpt-4o
Act as a head of engineering. Create a reliability roadmap: target error budgets, dependency upgrades, chaos drills, capacity plans, and quarterly goals linked to SLO improvements. Provide a dashboard...
Author: tsubasa
Category: engineering | Model: gpt-4o
As a platform engineer, design an observability MVP: log, metric, trace standards; correlation IDs; dashboards for latency, errors, saturation; SLOs and burn-rate alerts; incident response runbook; an...
Author: tsubasa
Category: engineering | Model: gpt-4o
Propose a data tiering strategy: hot/warm/cold/archive for {{data_types}}. Policies: TTLs, compaction, dedupe, compression, and green-region replication. Define SLOs and a deletion automation spec.
Author: Tsubasa Kato
Category: data-architecture | Model: gpt-5-thinking
For workload <service>, model 12-month capacity and cloud cost. Include CPU/GPU, storage, egress, and LLM inference. Compare reserved vs spot vs savings plans. Map to SLOs and traffic seasonality. Out...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Create a blameless postmortem for incident <id>: timeline, customer impact, 5 Whys, contributing factors, detection gaps, and corrective actions. Propose guardrails, SLO/SLA adjustments, runbooks, and...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Bui...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking