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Cloud Infrastructure monitoring with Grafana Cloud
- 1. Cloud Infrastructure Monitoring with GrafanaCloud | Webinar Imma Valls Staff Developer Advocate
- 2. | Webinar This webinaris being recorded Submit questions in the Q&A feature to be answered at the end of the presentation All registrants will receive access to the recording
- 3. Agenda ● Introduction toCloud Service Models ● Implementation Strategies ● Collecting Telemetry Data ● Enhancing Visibility ● Q&A
- 4. What are theCloud Service Models?
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- 7. Server Team NetworkTeam Customer said the App is down! Cloud Team Servers are UP! Network is UP! Cloud is UP! Itʼs somewhere in the stack! App Team ● Undetected incidents ● Undefined RCAs ● Extended MTTR ● Ineffective ● Collaboration ● SLA breaches
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- 9. Grafana Alloy Your Environment Loki Logs Grafana Visualizations Tempo Traces Mimir Metrics Pyroscope Profiles Applications and Infrastructure Native OTel, Prometheus NoLock-in Open standard Composable Stack OSS or Commercial Your open and composable observability stack Keep data where it is Big Tent Data Sources SLO & Alerting | AI/ML Insights | Cost Management | Security & Governance | Configuration (as code) Kubernetes Server/VM Cloud Providers eBPF OnCall Incident Serverless Application Observability Testing Infrastructure Observability Incident Response Management Frontend Service Maps Kubernetes Server/VM Cloud Providers Database Core Observability Frontend Application Infrastructure Contextual Root Cause Analysis Asserts Performance Testing Synthetic Monitoring
- 10. Understand How are componentsconnected across deployments? Access How can we connect to isolated networks? Govern How can we control and optimize the cost of my Observability 1 3 4 Collect data through different protocols, push/pull models, etc Securely Connect to data sources that are Onprem Measure reliability across heterogenous environnements Correlate between data sources Assist in root cause analysis Infer interactions between infra and application components Have end to end transaction across networks and environnements Monitor costs and usage Reduce and optimize costs Attribute costs per deployment, datacenter, region, etc Understand and analyze costs Reduce egress costs and secure data on the Internet Monitor environments that can not be exposed to the Internet Unify How to break data silos? 2 Aggregate data from a variety of monitoring tools Unify the ingestion and querying Gather Onprem and Cloud Observability data Link infrastructure with applications and middleware
- 11. Understand How are componentsconnected across deployments? Access How can we connect to isolated networks? Govern How can we control and optimize the cost of my Observability 1 3 4 Collect data through different protocols, push/pull models, etc Securely Connect to data sources that are Onprem Measure reliability across heterogenous environnements Correlate between data sources Assist in root cause analysis Infer interactions between infra and application components Have end to end transaction across networks and environnements Monitor costs and usage Reduce and optimize costs Attribute costs per deployment, datacenter, region, etc Understand and analyze costs Reduce egress costs and secure data on the Internet Monitor environments that can not be exposed to the Internet Unify How to break data silos? 2 Aggregate data from a variety of monitoring tools Unify the ingestion and querying Gather Onprem and Cloud Observability data Link infrastructure with applications and middleware
- 12. Query the datain place… Keep data where it is Big Tent Data Sources
- 13. Observability & Monitoring Google Monitoring,Splunk, Dynatrace ..) ITSM Jira, ServiceNow, etc) Dev tools Github, Gitlab, Sentry ..) Databases BigQuery, MongoDB, Databricks ..) Cloud OSS & Ent 150 Datasources
- 14. First Pane ofGlass across data stores ...
- 15. First Pane ofGlass across your Cloud(s) Go deeper with component- level dashboards or deep link into the data source
- 16. Native Cloud ProviderMetrics ● No consistent industry naming standard (ie prometheus) ● Different aggregations ● Different API calls ● Different identifiers ● Proprietary, controlled by vendor
- 17. Your Environment Loki Logs Grafana Visualizations Tempo Traces Mimir Metrics Pyroscope Profiles Applications and Infrastructure Native OTel, Prometheus No Lock-in Openstandard Composable Stack OSS or Commercial Keep data where it is Big Tent Data Sources Ship data to our telemetry backends…
- 18. Grafana Cloud Services How InfrastructureIntegrations work Dashboards Metrics Logs Alerts Dashboards Logs Alerts Dashboards Metrics Alerts Grafana Alloy collect forward
- 19. …with a veryconvenient collector, Alloy ● Supports collecting Metrics, Logs, Traces, Profiles ● Service discovery (file, dns, K8S, etc) ● Deployable locally or remotely ● Can be clustered ● Integrations are easy-mode exporters/scrape configs ● Get started with the Helm/Operator & minimal configs
- 20. No Vendor Lock-In ●Open standards for telemetry data (metrics, logs, traces, …) ● Vendor-neutral, governed by the CNCF (like Prometheus) Open Source Instrumentation of Applications ● SDKs for a large number of programming languages ● Auto-instrumentation libraries for lots of popular application frameworks ● Tools for collecting, processing, and exporting telemetry data Integration with the Open Source Monitoring Ecosystem ● Prometheus metrics support out-of-the-box ● Support for Grafana open source telemetry databases Mimir, Loki, Tempo) ● Currently 80+ receivers and 40+ exporters Why OpenTelemetry OTel
- 21. Exemplars & Data links Servicediscovery & labels LogQL Metric extraction Derived fields Or Automated logging Labels Metrics from spans & Custom query specification Metrics: Is something happening? Logs: What is happening? Traces: Where is it happening? Profiles: How do I fix it? Trace links and stack traces Resource usage over time How metrics/logs/traces/profiles complement each other OOTB experience including dashboards, alerts, and infrastructure cost-monitoring tools. Zero to complete K8s monitoring in < 5 minutes per cluster
- 22. So - howdo I get started? Your Environment Collect Applications OpenTelemetry Grafana Alloy Store Visualize etc… Infrastructure Shipping off Infrastructure Directly
- 23. So - howdo I get started? Store Visualize Private Link option is available for Grafana Cloud Ship From CSP Monitoring Service
- 24. Monitor health & performance Visualize servicedata Infrastructure vs. Datasource Infrastructure Integrations Datasource Integrations
- 25. General Rule ofThumb Use the Grafana Alloy or OTel Collector when possible Grafana Alloy Sometimes, installing an agent on cloud based services is not possible - this is when to use plugins or integrations
- 26. What types of dashboardscan I build?
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- 29. CI/CD Pipeline andSprint Tracking
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- 36. Best Practices ● Use Alloyor OTel where possible ● Use Integrations or Plugins when you canʼt install a collector ● Correlate, donʼt silo ● Think outside the box - get creative with your Cloud Dashboards!
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- 39. 3 users 10,000 seriesfor metrics 50 GB of logs 50 GB of traces 14-day retention The fastest way to get started. Includes free forever access to: grafana.com/cloud Get started:
- 40. Please complete ourwebinar survey. Have more questions? Join us at community.grafana.com or Grafana public slack grafana.slack.com #general grafana community.grafana.com