'rollouts' 검색 결과

Review external integration points for breaking changes that could disrupt existing use. Examine app-server APIs, command-line parameters, configuration loading, and session resumption from saved records, continuing beyond the first issue to cover possible failure paths.

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• Check app-server API compatibility
• Review changes to command-line parameters
• Check compatibility of configuration loading

후보 탐색과 비교를 반복하며 근거와 판단을 추가 기록 방식의 장부에 남깁니다. 이전 결과와의 일관성과 재검증 결과를 확인하고 실거래나 운영 작업의 실행 조건을 명확히 합니다.

• 여러 차례 시도하며 후보를 비교할 때
• 판단의 근거를 기록할 때
• 새 정보로 이전 채택 후보를 재평가할 때

Manage firmware updates across IoT device fleets through staged rollouts. Check a small initial group for anomalies before expanding deployment, inspect rollout status, and roll back updates with explicit user approval for device changes.

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• Deploying a specified firmware version to a device fleet
• Checking initial devices before expanding a rollout
• Rolling back a firmware rollout

Inventory feature flags, switches that control feature availability, and remove eligible flags with their unused code branches. Leave ongoing rollouts and experiments untouched, run verification checks, and prepare a pull request for human review.

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• Removing flags after a feature has fully rolled out
• Cleaning up unused flags and unreachable code branches
• Listing ongoing rollouts and experiments for human review

Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.

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Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.

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Provides GitOps best practices for ArgoCD, Flux, Argo Rollouts, and progressive delivery strategies. Use when setting up GitOps workflows, configuring continuous delivery, managing Kubernetes deployments declaratively, or when user mentions 'gitops', 'argocd', 'flux', 'progressive delivery', 'reconciliation', 'argo rollouts', 'canary', 'sealed secrets'.

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Manages ArgoCD Application sync waves and hooks through the ArgoCD REST API and Kubernetes custom resources. Uses kubectl diff and Helm template rendering to validate manifests before triggering progressive rollouts via Argo Rollouts.

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Feature flag lifecycle management -- safe feature toggling, gradual rollouts, A/B testing patterns, flag cleanup strategies, and technical debt prevention. Covers LaunchDarkly, Unleash, OpenFeature, and custom implementations.

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PostHog feature flags, rollouts, A/B testing. Use when implementing gradual rollouts, A/B tests, kill switches, remote configuration, beta features, or user targeting with PostHog.

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Use when introducing a feature flag system, choosing between release flags / experiment flags / operational flags / kill switches / permission flags, designing percentage rollouts, building kill-switch + circuit-breaker patterns, structuring evaluation contexts (user IDs, plan tier, region), or building flag-cleanup discipline. Triggers: LaunchDarkly / GrowthBook / Unleash / Flagsmith / OpenFeature, percentage ramp, sticky bucketing, kill switch wired to alerting, "we still have flags from 2 years ago", flag debt, OpenFeature provider, evaluation context, default value on provider failure. NOT for A/B test statistical analysis (separate skill), traffic-split routing at the edge, build-time bundler defines, or environment-based config.

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Use when introducing a feature flag system, choosing between release flags / experiment flags / operational flags / kill switches / permission flags, designing percentage rollouts, building kill-switch + circuit-breaker patterns, structuring evaluation contexts (user IDs, plan tier, region), or building flag-cleanup discipline. Triggers: LaunchDarkly / GrowthBook / Unleash / Flagsmith / OpenFeature, percentage ramp, sticky bucketing, kill switch wired to alerting, "we still have flags from 2 years ago", flag debt, OpenFeature provider, evaluation context, default value on provider failure. NOT for A/B test statistical analysis (separate skill), traffic-split routing at the edge, build-time bundler defines, or environment-based config.

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Build and evaluate single-agent reinforcement learning experiments, where an agent learns actions from rewards. Use Stable Baselines3 to choose algorithms, create environments, monitor training, and save models with the normalization data needed for consistent evaluation.

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• Set up a reproducible reinforcement learning experiment
• Create and validate a custom Gymnasium environment
• Monitor training and save checkpoints

Helps implement centralized settings management in Java with Azure App Configuration. Covers environment-specific settings, feature flags that control feature availability, and snapshots that preserve settings at a particular point in time.

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• Manage settings separately for development and production
• Configure feature flags for gradual rollouts
• Preserve release settings in snapshots

Set up Kubernetes deployments with ArgoCD or Flux CD using GitOps, an approach that stores the desired system configuration in Git. Configure automatic synchronization, staged rollouts, secret management, and deployment workflows across environments or clusters.

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• Setting up automatic deployments from Git
• Managing deployments across multiple Kubernetes clusters
• Configuring canary or blue-green releases

Prepare employee communications for organizational changes, tool rollouts, and policy updates. Create announcements, audience-specific FAQs, manager talking points, and a communication calendar, while checking tone, channel choices, and sequencing against the change's impact.

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• Preparing an internal reorganization announcement
• Planning communications for a new tool rollout
• Writing audience-specific FAQs for policy changes

Manage OpenKruise in KubeSphere, from extension installation to troubleshooting. Generate SidecarSet configuration for adding helper containers and CloneSet configuration for application updates, including in-place changes and staged rollouts, with commands to apply and verify each configuration.

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• Install OpenKruise and check its status
• Add and update helper containers with SidecarSet
• Stage application image updates with CloneSet

Plan changes to Convex data structures while an app keeps running. The skill guides staged deployments, updates to existing records, and verification for required fields, type changes, and table restructuring using @convex-dev/migrations.

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• Adding required fields to existing records
• Changing field types or renaming fields
• Splitting or merging existing tables

Analyze product usage in PostHog and manage experiments, dashboards, surveys, and feature flags, which control feature availability. Use connected tools to investigate user behavior and errors, run queries, and summarize findings with numbers and links.

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• Analyze conversion funnels and user retention
• Manage feature rollouts and A/B tests
• Investigate errors and review session recordings

Use Iris to submit, inspect, debug, monitor, or recover jobs and tasks; diagnose scheduling and federation; deploy controllers; or reserve dev GPUs and TPUs. Use for ordinary Iris operations, including babysitting a job, controller rollouts, accelerator sessions, and stuck CoreWeave pods. Use a narrower production-run or Zephyr skill when that workflow is explicitly requested.

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Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.

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Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. Control feature visibility, perform A/B testing, and enable trunk-based development. Use when implementing gradual rollouts, feature toggles, or experimentation platforms.

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Operate MySQL-compatible databases on PlanetScale with branching workflows, safe migrations, and production rollouts.

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Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release management.

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