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Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 15,745–15,768 of 19,580 skills
- Arckit ConformanceAssess architecture conformance — ADR decision implementation, cross-decision consistency, design-principles alignment, architecture drift, technical debt, and custom constraint rulesVotes: 0GitHub stars: 17
- Arckit Azure ResearchResearch Azure services and architecture patterns using Microsoft Learn MCP for authoritative guidanceVotes: 0GitHub stars: 17
- Arckit Aws ResearchResearch AWS services and architecture patterns using AWS Knowledge MCP for authoritative guidanceVotes: 0GitHub stars: 17
- Arckit Au Ot Security[COMMUNITY] Generate an ASD operational technology cyber security assessment for Australian Government and critical-infrastructure projects with connected OT environments.Votes: 0GitHub stars: 17
- Arckit AdrDocument architectural decisions with options analysis and traceabilityVotes: 0GitHub stars: 17
- Snowflake Create PipeConsult Snowflake CREATE PIPE parameter reference before generating any CREATE PIPE DDL.Votes: 0GitHub stars: 77
- Snowflake Create Network RuleConsult Snowflake CREATE NETWORK RULE parameter reference before generating any CREATE NETWORK RULE DDL.Votes: 0GitHub stars: 77
- Snowflake Create External VolumeConsult Snowflake CREATE EXTERNAL VOLUME parameter reference before generating any CREATE EXTERNAL VOLUME DDL.Votes: 0GitHub stars: 77
- TempoGrafana Tempo distributed tracing backend. Covers TraceQL query language (span selectors, attribute scopes, pipeline operators, structural operators, metrics functions), trace ingestion via OTLP/Jaeger/Zipkin, Tempo architecture (distributor/ingester/compactor/querier/metrics-generator), full configuration reference with YAML, metrics-from-traces (span metrics, service graphs, TraceQL metrics), deployment modes (monolithic/microservices/Helm/Kubernetes), multi-tenancy, performance tuning, cac...Votes: 0GitHub stars: 268
- PrometheusPrometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.Votes: 0GitHub stars: 268
- MimirGrafana Mimir scalable long-term metrics storage. Covers architecture (distributor/ingester/compactor/querier/ query-frontend/store-gateway/ruler), deployment modes (monolithic/microservices), configuration, Prometheus remote write, PromQL querying, multi-tenancy, compaction, and operations. Use when working with Mimir for metrics storage, scaling Prometheus, configuring Mimir clusters, writing PromQL, or debugging Mimir.Votes: 0GitHub stars: 268
- LokiGrafana Loki log aggregation and LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp/unpack, label filters, line_format), Loki architecture, log ingestion via Alloy/Promtail/Fluent Bit, structured metadata, and Logs Drilldown. Use when writing LogQL queries, configuring Loki, troubleshooting log pipelines, or analyzing logs.Votes: 0GitHub stars: 268
- PromqlPromQL is a functional query language for time series data. Every query returns either an **instant vector** (one value per label set at a point in time), a **range vector** (a sliding window of samples), or a **scalar**. **Golden rule:** `rate()` and `increase()` always require a range vector. The range must be at least 4x the scrape interval to avoid gaps. For a 60s scrape interval, use `[5m]` minimum. ---Votes: 0GitHub stars: 268
- OpentelemetryOpenTelemetry with Grafana stack. Covers OTel SDK instrumentation for Go/Java/Python/Node.js/.NET, OTLP protocol and endpoint configuration, sending telemetry to Grafana Cloud via OTLP endpoint, Grafana Alloy as OTel collector, sampling strategies, Kubernetes OTel Operator, and migration from other observability tools. Use when instrumenting apps with OTel, configuring OTLP endpoints, setting up collectors, or migrating to OpenTelemetry.Votes: 0GitHub stars: 268
- Grafana OssGrafana OSS core features — dashboards, panels, visualization types, data sources, template variables, alerting, annotations, provisioning, RBAC, service accounts, and configuration. Use when building dashboards, configuring data sources, setting up provisioning YAML, managing users and permissions, writing PromQL/LogQL/TraceQL in panels, or configuring Grafana server settings.Votes: 0GitHub stars: 268
- BeylaGrafana Beyla eBPF auto-instrumentation for application observability without code changes. Covers supported languages/runtimes, requirements, installation, configuration (discovery, eBPF settings, OTLP traces export, Prometheus metrics export), Kubernetes deployment, and integration with Grafana Cloud. Use when setting up zero-code instrumentation, configuring eBPF probes, deploying Beyla to Kubernetes, connecting to Tempo/Prometheus, or troubleshooting instrumentation issues.Votes: 0GitHub stars: 268
- AlloyGrafana Alloy OpenTelemetry collector and telemetry pipeline configuration. Covers the Alloy configuration language (blocks, attributes, expressions), components for collecting metrics/logs/traces/profiles, sending data to Grafana Cloud/Prometheus/Loki/Tempo, clustering, Fleet Management remote config, and building telemetry pipelines. Use when configuring Alloy, writing Alloy config files (.alloy), building data collection pipelines, setting up scraping, or troubleshooting Alloy deployments.Votes: 0GitHub stars: 268
- TestingGrafana Cloud testing capabilities — Synthetic Monitoring (probing URLs, DNS, TCP, ping from multiple regions), k6 Cloud (managed load testing with distributed execution), and Frontend Observability (Faro, real user monitoring). Use when setting up uptime checks, external probes, configuring k6 cloud runs, monitoring frontend performance, or testing APIs from multiple locations.Votes: 0GitHub stars: 268
- Send DataSending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecting an application or infrastructure to Grafana Cloud, setting up data ingestion, configuring remote write, or choosing between ingestion methods.Votes: 0GitHub stars: 268
- Prometheus Label StrategyExpert evaluator for Prometheus label strategy on Grafana Cloud. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, histogram bucket discipline, and instrumentation hygiene. Prevents high cardinality at the source — in application code and scrape target labels — without dropping labels that make series unique (which breaks the data). For reducing the cost of series already in Grafana Cloud, routes to the adaptive-me...Votes: 0GitHub stars: 268
- Private ConnectivityGrafana Cloud private network connectivity — AWS PrivateLink, Azure Private Link, and GCP Private Service Connect. Send telemetry (metrics, logs, traces, profiles) to Grafana Cloud without traversing the public internet. Eliminates cloud egress costs, meets compliance requirements (PCI-DSS, HIPAA). Use when setting up secure private telemetry ingestion from AWS/Azure/GCP, reducing egress costs, or meeting data residency/compliance requirements.Votes: 0GitHub stars: 268
- Oncall IrmGrafana OnCall and Incident Response Management (IRM) — alert routing, escalation chains, on-call schedules, Jinja2 routing templates, Slack/mobile notifications, integrations (Alertmanager, Grafana Alerting, webhooks, PagerDuty), and incident lifecycle management. Use when setting up on-call rotations, configuring escalation policies, routing alerts to the right team, declaring and managing incidents, integrating with Alertmanager or Grafana Alerting, or configuring Slack-based alert workflows.Votes: 0GitHub stars: 268
- Loki Label AnalyzerExpert evaluator for Grafana Loki label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, and consistency checks. Use when the user asks to evaluate, audit, design, or improve a Loki label strategy — or asks why their Loki queries are slow.Votes: 0GitHub stars: 268
- InfrastructureGrafana Cloud infrastructure monitoring — Kubernetes monitoring, cloud provider integrations (AWS, Azure, GCP), host and container monitoring, infrastructure dashboards, and collector setup. Use when setting up Kubernetes monitoring, connecting cloud provider metrics, configuring node exporter or cAdvisor, setting up infrastructure dashboards, or using the k8s-monitoring Helm chart.Votes: 0GitHub stars: 268