部署与运维
4,382 个结果
- Oncall IrmgrafanaRoute alerts, run on-call rotations, and drive incidents in Grafana IRM / OnCall — integrations (Alertmanager / Grafana Alerting / generic webhook / PagerDuty), Jinja2 routing + grouping templates, escalation chains (wait → notify schedule → notify team → webhook → auto-resolve), schedules (web + iCal + Terraform `grafana_oncall_schedule`), Slack chatops with Acknowledge/Resolve/Silence, and the…
- OpentelemetrygrafanaInstrument any app with OpenTelemetry and ship metrics / logs / traces to Grafana Cloud or self-hosted Mimir / Loki / Tempo / Pyroscope. Covers SDK auto-instrumentation for Go, Java (Grafana JVM agent), Python (`opentelemetry-instrument`), Node.js, .NET (`Grafana.OpenTelemetry`), Beyla eBPF for zero-code; Grafana Cloud OTLP gateway + Basic-auth (instanceID + API key, base64); env-var config…
- Private ConnectivitygrafanaSet up private network connectivity to Grafana Cloud — AWS PrivateLink, Azure Private Link, GCP Private Service Connect, and Private Data Source Connect (PDC). Provisions VPC endpoints, private endpoints, or PSC forwarding rules per signal type (metrics / logs / traces / profiles); wires Alloy to push to the private DNS endpoint instead of the public one; verifies private DNS resolution +…
- PrometheusgrafanaPrometheus 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.
- Prometheus Cardinality TroubleshootergrafanaDiagnostic guide for active Prometheus cardinality problems — slow queries, OOMing Prometheus, high Grafana Cloud Active Series or DPM bills, "too many samples" ingest errors, series churn, or rapid memory growth. Walks through tsdb status endpoints, per-metric and per-label drill-downs, common-culprit galleries, and remediation paths.
- PromqlgrafanaWrite, validate, and optimize PromQL for Prometheus / Grafana Mimir / Grafana Cloud Metrics. Covers `rate` vs `irate` vs `increase`, label matchers and regex, `sum / avg / topk / by / without` aggregation, classic + native `histogram_quantile`, ratios with divide-by-zero guards, `absent` / `changes` for staleness, time offsets and `predict_linear`, recording-rule naming, SLO + burn-rate math…
- PyroscopegrafanaContinuously profile applications with Grafana Pyroscope and read the result as flame graphs. Covers three instrumentation paths — language SDK push (Go / Java / Python / Ruby / Node / .NET / Rust), Alloy eBPF auto-instrumentation (no code change, requires kernel 5.8+ with BTF), and SDK → Alloy receiver — plus ProfileQL queries, profile types (CPU / memory / allocations / goroutines / mutex)…
- Send DatagrafanaSending 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.
- TempografanaStand up Grafana Tempo as a cost-efficient distributed-tracing backend that only needs object storage, and write TraceQL queries against it. Covers OTLP + Jaeger + Zipkin ingestion, the distributor → live-store → block-builder → object-storage write path, metrics-generator for RED spanmetrics + service graphs, Helm `tempo-distributed` deployment, multi-tenant `X-Scope-OrgID`, TraceQL span /…
- AWS DevelopmentmindrallyAWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.
- AzuremindrallyAzure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
- Bitbucket WorkflowmindrallyBitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows
- Cloudflare DevelopmentmindrallyCloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.
- DevopsmindrallyComprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.
- Fastapi Microservices ServerlessmindrallyExpert in FastAPI microservices for serverless and cloud-native environments
- Gcp DevelopmentmindrallyGoogle Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.
- Gitlab WorkflowmindrallyGitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflows
- GraalvmmindrallyExpert guidance for GraalVM native image development with Java frameworks, build optimization, and high-performance application deployment
- Hono TypescriptmindrallyGuidelines for building edge-first, high-performance APIs with Hono and TypeScript for Cloudflare Workers, Deno, Bun, and Node.js
- Java Quarkus DevelopmentmindrallyJava Quarkus development guidelines for building cloud-native applications with fast startup, minimal memory footprint, and GraalVM native builds
- KubernetesmindrallyExpert in Kubernetes and DevOps with infrastructure-as-code and cloud-native patterns
- LlmmindrallyLarge Language Model development, training, fine-tuning, and deployment best practices.
- MicronautmindrallyExpert guidance for Micronaut framework development with compile-time dependency injection, GraalVM native builds, and cloud-native microservices
- Monitoring GuidelinesmindrallyMonitoring guidelines for applications and infrastructure including metrics collection, alerting strategies, and SLO-based monitoring