{"id":4753,"date":"2025-08-23T15:47:07","date_gmt":"2025-08-23T15:47:07","guid":{"rendered":"https:\/\/uplatz.com\/blog\/?p=4753"},"modified":"2025-08-27T02:42:14","modified_gmt":"2025-08-27T02:42:14","slug":"datadog-pocket-book","status":"publish","type":"post","link":"https:\/\/uplatz.com\/blog\/datadog-pocket-book\/","title":{"rendered":"Datadog Pocket Book"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2025\/08\/13-1024x576.png\" alt=\"Datadog Pocket Book\" width=\"840\" height=\"473\" class=\"alignnone size-large wp-image-4845\" srcset=\"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2025\/08\/13-1024x576.png 1024w, https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2025\/08\/13-300x169.png 300w, https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2025\/08\/13-768x432.png 768w, https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2025\/08\/13.png 1280w\" sizes=\"auto, (max-width: 840px) 100vw, 840px\" \/><br \/>\n<!-- Datadog Pocket Book \u2014 Uplatz (50 Cards, Single-Column Layout, Readable Code) --><\/p>\n<div style=\"margin: 16px 0;\">\n<style>\n    .wp-nodejs-pb { font-family: Arial, sans-serif; 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background:#f0fdf4 !important; }\n    .bg-orange{ border-left-color:#f97316 !important; background:#fff7ed !important; }\n    .bg-indigo{ border-left-color:#6366f1 !important; background:#eef2ff !important; }\n    .bg-emerald{ border-left-color:#22c55e !important; background:#ecfdf5 !important; }\n    .bg-slate{ border-left-color:#334155 !important; background:#f8fafc !important; }<\/p>\n<p>    \/* Utilities *\/\n    .tight ul{ margin:0; padding-left:18px; }\n    .tight li{ margin:4px 0; }\n    .mono{ font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace; }\n    .kbd{ background:#e5e7eb; border:1px solid #cbd5e1; padding:1px 6px; border-radius:6px; font-family:ui-monospace,monospace; font-size:.88em; }\n    .muted{ color:#64748b; }\n    .wp-nodejs-pb code{ background:#f1f5f9; padding:0 4px; border-radius:4px; border:1px solid #e2e8f0; }\n    .wp-nodejs-pb pre{\n      background:#f5f5f5; color:#111827; border:1px solid #e5e7eb;\n      padding:12px; border-radius:8px; overflow:auto; font-size:.92rem; line-height:1.55;\n    }\n    .q{font-weight:700;}\n    .qa p{ margin:8px 0; }\n    .qa b{ color:#0f172a; }\n  <\/style>\n<div class=\"wp-nodejs-pb\">\n<div class=\"heading\">\n<h2>Datadog Pocket Book \u2014 Uplatz<\/h2>\n<p>50 deep-dive flashcards \u2022 Single column \u2022 Fewer scrolls \u2022 20+ Interview Q&amp;A \u2022 Readable code examples<\/p>\n<\/p><\/div>\n<div class=\"grid\">\n      <!-- ===================== SECTION 1 ===================== --><\/p>\n<div class=\"section-title\">Section 1 \u2014 Fundamentals<\/div>\n<div class=\"card bg-blue\">\n<h3>1) What is Datadog?<\/h3>\n<p>Datadog is a cloud-first observability and security platform providing metrics, traces (APM), logs, RUM, synthetics, infrastructure monitoring, security monitoring, and dashboards in one place. It integrates with clouds, containers, databases, and apps with rich tagging for slicing and correlation.<\/p>\n<pre><code class=\"mono\"># Install agent (Linux quickstart)\r\nDD_API_KEY=&lt;key&gt; bash -c \"$(curl -L https:\/\/s3.amazonaws.com\/dd-agent\/scripts\/install_script.sh)\"<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-green\">\n<h3>2) Why Datadog? Strengths &amp; Tradeoffs<\/h3>\n<p>Strengths: unified telemetry, strong integrations, fast UI, powerful tagging, anomaly detection, SLOs, and managed backend. Tradeoffs: cost at scale, vendor lock-in, sampling tradeoffs. Mitigate with tags hygiene, retention tiers, and sampling\/filters.<\/p>\n<pre><code class=\"mono\"># Verify agent status\r\nsudo datadog-agent status<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-amber\">\n<h3>3) Core Data Types<\/h3>\n<p><b>Metrics<\/b> (gauges, counters, histograms), <b>Logs<\/b> (ingest, process, index), <b>Traces<\/b> (APM spans), <b>Profiles<\/b>, <b>RUM<\/b> (browser\/app), and <b>Events<\/b>. Correlate via tags like <code>service<\/code>, <code>env<\/code>, <code>version<\/code>, <code>host<\/code>, <code>region<\/code>.<\/p>\n<pre><code class=\"mono\"># DogStatsD metric (Python)\r\nfrom datadog import initialize, statsd\r\ninitialize(statsd_host='127.0.0.1', statsd_port=8125)\r\nstatsd.increment('orders.created', tags=['service:checkout','env:prod'])<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-violet\">\n<h3>4) Tags &amp; Facets<\/h3>\n<p>Tags are key-value labels for grouping\/filtering across telemetry. Standardize <code>service<\/code>, <code>env<\/code>, <code>version<\/code>, <code>team<\/code>. Promote important attributes to <b>facets<\/b> in logs for fast filtering and analytics.<\/p>\n<pre><code class=\"mono\"># Agent config (datadog.yaml)\r\ntags:\r\n  - env:prod\r\n  - region:ap-south-1<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-rose\">\n<h3>5) Dashboards<\/h3>\n<p>Build timeboards\/screenboards with widgets (timeseries, query values, toplists, heatmaps, geomaps). Use template variables bound to tags for reuse across services\/envs.<\/p>\n<pre><code class=\"mono\"># Create dashboard (API snippet)\r\ncurl -X POST \"https:\/\/api.datadoghq.com\/api\/v1\/dashboard\" \\\r\n -H \"DD-API-KEY: $DD_API_KEY\" -H \"DD-APPLICATION-KEY: $DD_APP_KEY\" \\\r\n -H \"Content-Type: application\/json\" -d @dashboard.json<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-cyan\">\n<h3>6) Monitors<\/h3>\n<p>Monitors alert on metrics, logs, traces, synthetics, RUM, and more. Use threshold, anomaly, forecast, outlier, composite monitors. Route notifications to on-call and ChatOps channels.<\/p>\n<pre><code class=\"mono\"># Simple metric monitor (API)\r\ncurl -X POST \"https:\/\/api.datadoghq.com\/api\/v1\/monitor\" \\\r\n -H \"DD-API-KEY: $DD_API_KEY\" -H \"DD-APPLICATION-KEY: $DD_APP_KEY\" \\\r\n -d '{\"type\":\"metric alert\",\"query\":\"avg(last_5m):avg:system.cpu.user{env:prod}&gt;80\",\"name\":\"High CPU\",\"message\":\"@pagerduty\"}'<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-lime\">\n<h3>7) APM Tracing<\/h3>\n<p>Datadog APM captures distributed traces, spans, and service maps. Auto-instrument popular frameworks; set <code>service<\/code>, <code>env<\/code>, <code>version<\/code> for deployment tracking and correlation to logs\/metrics.<\/p>\n<pre><code class=\"mono\"># Node.js tracer\r\nnpm i dd-trace\r\nDD_SERVICE=checkout DD_ENV=prod node -r dd-trace\/init app.js<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-orange\">\n<h3>8) Log Management<\/h3>\n<p>Ship logs via agent or forwarders, parse with pipelines, remap fields, mask PII, and index selectively. Use exclusion filters and archives (S3\/GCS) to control cost.<\/p>\n<pre><code class=\"mono\"># Agent log config (conf.d\/myapp.d\/conf.yaml)\r\nlogs:\r\n  - type: file\r\n    path: \/var\/log\/myapp\/*.log\r\n    service: checkout\r\n    source: nodejs<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-indigo\">\n<h3>9) Synthetics &amp; RUM<\/h3>\n<p>Synthetics: HTTP\/browser tests, multistep user journeys, and APIs. RUM: real-user browser\/mobile telemetry (errors, resources, vitals). Correlate RUM sessions to backend traces.<\/p>\n<pre><code class=\"mono\">&lt;!-- RUM Browser SDK --&gt;\r\n&lt;script src=\"https:\/\/www.datadoghq-browser-agent.com\/datadog-rum.js\"&gt;&lt;\/script&gt;\r\n&lt;script&gt;DD_RUM.init({ applicationId:'...', clientToken:'...', site:'datadoghq.com', service:'web', env:'prod' })&lt;\/script&gt;<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-emerald\">\n<h3>10) Q&amp;A \u2014 \u201cWhat makes Datadog \u2018unified\u2019?\u201d<\/h3>\n<p><span class=\"q\">Answer:<\/span> A single backend and UI for metrics, traces, logs, and user telemetry with consistent tags enables cross-correlation: find a spike in metrics, jump to related traces, then to logs and RUM sessions\u2014all filtered by the same tags.<\/p>\n<\/p><\/div>\n<p>      <!-- ===================== SECTION 2 ===================== --><\/p>\n<div class=\"section-title\">Section 2 \u2014 Core APIs &amp; Modules<\/div>\n<div class=\"card bg-blue\">\n<h3>11) Agent &amp; Integrations<\/h3>\n<p>Agent runs on hosts\/containers and collects metrics\/logs\/traces. 700+ integrations (Nginx, Postgres, Kafka, Redis). Use <code>conf.d\/&lt;integration&gt;.d\/<\/code> to configure checks and autodiscovery on Kubernetes.<\/p>\n<pre><code class=\"mono\"># Postgres integration (conf.d\/postgres.d\/conf.yaml)\r\ninit_config:\r\ninstances:\r\n  - host: 127.0.0.1\r\n    port: 5432\r\n    dbm: true<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-green\">\n<h3>12) Kubernetes<\/h3>\n<p>Deploy the Datadog cluster agent + node agents via Helm\/manifest. Autodiscovery via annotations; tag with <code>kube_*<\/code> and <code>pod_labels<\/code>. Collect container logs, metrics, APM, and process checks.<\/p>\n<pre><code class=\"mono\"># Helm install (example)\r\nhelm repo add datadog https:\/\/helm.datadoghq.com\r\nhelm install dd datadog\/datadog -f values.yaml<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-amber\">\n<h3>13) DogStatsD &amp; StatsD<\/h3>\n<p>Submit custom metrics via UDP\/UDS to the local agent. Supports histograms\/distributions for percentiles. Always include consistent tags for aggregation.<\/p>\n<pre><code class=\"mono\"># Go example\r\nstatsd, _ := statsd.New(\"unix:\/\/\/var\/run\/datadog\/dsd.socket\")\r\nstatsd.Histogram(\"latency.ms\", 123, []string{\"service:api\",\"env:prod\"}, 1)<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-violet\">\n<h3>14) APM Sampling &amp; Retention<\/h3>\n<p>Use head-based sampling at the agent; configure rules to keep errors and high-latency traces. Enable ingestion controls and retention filters for cost and compliance.<\/p>\n<pre><code class=\"mono\"># datadog.yaml (APM)\r\napm_config:\r\n  analyzed_spans:\r\n    checkout|http.request: 1<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-rose\">\n<h3>15) Log Pipelines<\/h3>\n<p>Parse, remap, and enrich logs. Grok\/JSON processors, status remapper, date remapper, geo-IP, and URL parsers. Promote fields as facets; mask PII with redaction.<\/p>\n<pre><code class=\"mono\"># Example pipeline grok rule (conceptual)\r\nrule: %{ip:client} - - \\[%{date}\\] \"%{word:method} %{notSpace:path} HTTP\/%{number}\" %{int:status}<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-cyan\">\n<h3>16) SLOs &amp; SLIs<\/h3>\n<p>Define SLOs on monitors or events (time-based or request-based). Track burn rate with multi-window, multi-burn alerts. Use tag-scoped SLOs per service\/env.<\/p>\n<pre><code class=\"mono\"># API sketch: create SLO on monitor IDs\r\ncurl -X POST https:\/\/api.datadoghq.com\/api\/v1\/slo -d @slo.json<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-lime\">\n<h3>17) Security Monitoring<\/h3>\n<p>Detect threats from logs\/cloud\/configs with rules and signals. Use out-of-the-box rules for common threats and customize for your environment. Route to SIEM\/SOAR.<\/p>\n<pre><code class=\"mono\"># Example detection rule (conceptual JSON)\r\n{ \"name\":\"Suspicious Login\", \"query\":\"source:auth status:failed country:!IN\", \"type\":\"log_detection\" }<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-orange\">\n<h3>18) Database Monitoring (DBM)<\/h3>\n<p>Deep visibility into DB performance: query samples, plans, wait events. Requires agent integration and permissions. Tag queries by service\/env.<\/p>\n<pre><code class=\"mono\"># Enable DBM in postgres conf\r\ninstances:\r\n  - host: 127.0.0.1\r\n    port: 5432\r\n    dbm: true<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-indigo\">\n<h3>19) Error Tracking &amp; Profiling<\/h3>\n<p>Aggregate exceptions from APM\/logs and link to code versions and deployments. Continuous Profiler captures CPU\/memory\/lock profiles in prod with low overhead.<\/p>\n<pre><code class=\"mono\"># Python profiler\r\npip install ddtrace\r\nDD_PROFILING_ENABLED=true ddtrace-run gunicorn app:app<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-emerald\">\n<h3>20) Q&amp;A \u2014 \u201cMetrics vs Logs vs Traces?\u201d<\/h3>\n<p><span class=\"q\">Answer:<\/span> Metrics are numeric time-series for fast aggregates and alerts; logs are detailed records for forensics; traces show request flow across services. Use all three with consistent tags for rapid triage.<\/p>\n<\/p><\/div>\n<p>      <!-- ===================== SECTION 3 ===================== --><\/p>\n<div class=\"section-title\">Section 3 \u2014 Async, Patterns &amp; Concurrency<\/div>\n<div class=\"card bg-blue\">\n<h3>21) Alert Design Patterns<\/h3>\n<p>Prefer symptom-based alerts (user impact) over noise (CPU blips). Use anomaly\/forecast monitors for seasonality, composite monitors to gate alerts, and mute windows during maintenance.<\/p>\n<pre><code class=\"mono\"># Composite monitor idea\r\n(A) errors_rate &gt; 5% AND (B) p99_latency &gt; 1s AND (C) traffic &gt; 100 rps<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-green\">\n<h3>22) Anomaly &amp; Forecast<\/h3>\n<p>Datadog models time series to detect deviations and forecast future levels, handling weekly\/daily seasonality. Great for capacity planning and early warning.<\/p>\n<pre><code class=\"mono\"># Anomaly query example\r\nanomalies(avg:system.load.1{env:prod}, 'basic', 2, direction='above')<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-amber\">\n<h3>23) Sampling Strategies<\/h3>\n<p>For high-traffic services, sample traces\/logs while keeping error\/slow traces at 100%. Use agent-side filters and retain full fidelity during incidents via dynamic rules.<\/p>\n<pre><code class=\"mono\"># datadog.yaml\r\napm_config:\r\n  ignore_resources: [\"GET \/healthz\"]\r\nlogs_config:\r\n  sample_rate: 0.2<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-violet\">\n<h3>24) Incident Management<\/h3>\n<p>Use Monitors \u2192 Incidents with templates, roles, and timelines. Capture evidence (graphs, logs, traces). Automate Slack\/PagerDuty notifications and postmortem exports.<\/p>\n<pre><code class=\"mono\"># API: create an incident (sketch)\r\ncurl -X POST https:\/\/api.datadoghq.com\/api\/v2\/incidents -d @incident.json<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-rose\">\n<h3>25) SLO Burn Rate Alerts<\/h3>\n<p>Multi-window burn alerts detect fast\/slow burns. Example: 1h\/6h windows with different thresholds\u2014alerts only when both breach to reduce noise but react quickly.<\/p>\n<pre><code class=\"mono\"># SLO burn idea\r\nburn_rate(1h) &gt; 2 AND burn_rate(6h) &gt; 1<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-cyan\">\n<h3>26) Canary &amp; Deploy Tracking<\/h3>\n<p>Tag telemetry with <code>version<\/code> and <code>deployment_id<\/code>. Compare error\/latency between canary and baseline. Roll back if canary degrades SLOs or error budgets.<\/p>\n<pre><code class=\"mono\">DD_VERSION=1.12.3 DD_ENV=prod DD_SERVICE=checkout ddtrace-run node app.js<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-lime\">\n<h3>27) Auto-Scaling Signals<\/h3>\n<p>Export Datadog metrics to autoscalers (KEDA\/HPA) for scale decisions based on RPS, queue depth, or p95 latency. Avoid scaling from noisy CPU alone.<\/p>\n<pre><code class=\"mono\"># KEDA ScaledObject referencing Datadog (conceptual)\r\ntriggers:\r\n- type: datadog\r\n  metadata: { query: \"avg:last_2m:requests{service:api}\", queryValue: \"100\" }<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-orange\">\n<h3>28) Synthetic CI Patterns<\/h3>\n<p>Run API\/browser tests in CI before deploy; publish results to Datadog. Block releases if core journeys fail. Tag tests by app\/version for rollout insights.<\/p>\n<pre><code class=\"mono\"># CI step (datadog-ci)\r\nnpx @datadog\/datadog-ci synthetics run-tests --config tests.synthetics.json<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-indigo\">\n<h3>29) Cost Guardrails<\/h3>\n<p>Tiered retention, log rehydration from archives, exclude chatty logs, focus on higher-cardinality indexes, and use metrics-from-logs for lightweight KPIs.<\/p>\n<pre><code class=\"mono\"># Pipeline processor to drop DEBUG logs in prod\r\nif (level == \"DEBUG\" &amp;&amp; env == \"prod\") drop()<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-emerald\">\n<h3>30) Q&amp;A \u2014 \u201cHow to reduce alert fatigue?\u201d<\/h3>\n<p><span class=\"q\">Answer:<\/span> Alert on user-impact with composite conditions, use anomalies\/forecasts, apply mute windows, deduplicate via composites, and route by severity. Review weekly and prune noisy monitors.<\/p>\n<\/p><\/div>\n<p>      <!-- ===================== SECTION 4 ===================== --><\/p>\n<div class=\"section-title\">Section 4 \u2014 Frameworks, Data &amp; APIs<\/div>\n<div class=\"card bg-blue\">\n<h3>31) Cloud Integrations<\/h3>\n<p>Connect AWS\/Azure\/GCP for CloudWatch\/Monitor\/Stackdriver metrics, logs, cost, and resource inventory. Tag propagation from cloud to Datadog enables unified slices.<\/p>\n<pre><code class=\"mono\"># Terraform sketch (AWS)\r\nresource \"datadog_integration_aws\" \"main\" {\r\n  account_id = \"...\"; role_name = \"datadog-integration\"\r\n}<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-green\">\n<h3>32) Serverless (Lambda, Cloud Functions)<\/h3>\n<p>Use Datadog forwarder\/extensions for metrics, traces, and logs. Wrap functions with layers; correlate cold starts and errors to releases.<\/p>\n<pre><code class=\"mono\"># Lambda layer (Node)\r\nnpm i dd-trace\r\nrequire('dd-trace').init({}); exports.handler = async (e) =&gt; { ... }<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-amber\">\n<h3>33) CI Visibility<\/h3>\n<p>Ingest test results and pipeline spans. Identify flaky tests, slow steps, and failure hotspots. Tag by repo\/branch\/commit to map trends over time.<\/p>\n<pre><code class=\"mono\"># datadog-ci for JUnit uploads\r\nnpx @datadog\/datadog-ci junit upload --service web --env prod reports\/*.xml<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-violet\">\n<h3>34) Network &amp; Real User Monitoring<\/h3>\n<p>NPM\/NPM+ provide flow\/topology and eBPF visibility. RUM shows Core Web Vitals, errors, and resources per session; link RUM spans to backend traces for end-to-end.<\/p>\n<pre><code class=\"mono\">\/\/ RUM React snippet (conceptual)\r\nDD_RUM.addAction(\"add_to_cart\",{ sku, price })<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-rose\">\n<h3>35) Application Security (ASM)<\/h3>\n<p>Datadog ASM adds runtime protection (WAF\/IAST) integrated with APM. Detect attacks, block patterns, and tie to services\/versions for remediation.<\/p>\n<pre><code class=\"mono\">DD_APPSEC_ENABLED=true ddtrace-run python app.py<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-cyan\">\n<h3>36) Data Ingestion API<\/h3>\n<p>Push custom events, metrics, logs, and spans directly to Datadog HTTP APIs. Use app keys and rate limits; batch for efficiency.<\/p>\n<pre><code class=\"mono\">curl -X POST \"https:\/\/http-intake.logs.datadoghq.com\/api\/v2\/logs\" \\\r\n -H \"DD-API-KEY: $DD_API_KEY\" -H \"Content-Type: application\/json\" \\\r\n -d '[{\"message\":\"hello\",\"ddsource\":\"custom\",\"service\":\"api\"}]'<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-lime\">\n<h3>37) Terraform &amp; Config as Code<\/h3>\n<p>Manage monitors, dashboards, SLOs, and synthetics via IaC. Enable review\/PRs, drift detection, and consistent environments.<\/p>\n<pre><code class=\"mono\">resource \"datadog_monitor\" \"cpu\" {\r\n  name = \"High CPU\"\r\n  type = \"metric alert\"\r\n  query = \"avg(last_5m):avg:system.cpu.user{env:prod} &gt; 80\"\r\n}<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-orange\">\n<h3>38) Notebooks &amp; Dashboards-as-Docs<\/h3>\n<p>Use Datadog Notebooks to combine text, graphs, and queries for investigations and runbooks. Link incidents and postmortems for learning loops.<\/p>\n<pre><code class=\"mono\"># API sketch\r\ncurl -X POST https:\/\/api.datadoghq.com\/api\/v1\/notebooks -d @nb.json<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-indigo\">\n<h3>39) Metrics from Logs<\/h3>\n<p>Create aggregated metrics from logs without indexing every log line. Good for reducing storage while keeping high-level KPIs available for monitors\/dashboards.<\/p>\n<pre><code class=\"mono\"># Pipeline processor to create metric\r\ncreate_metric(\"orders.fail.rate\", group_by=[\"service\",\"env\"])<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-emerald\">\n<h3>40) Q&amp;A \u2014 \u201cWhen to use synthetics vs RUM?\u201d<\/h3>\n<p><span class=\"q\">Answer:<\/span> Synthetics simulate scripted user journeys for proactive checks and SLAs; RUM reflects real users in production for actual UX, errors, and performance by device\/geo. Use both for coverage.<\/p>\n<\/p><\/div>\n<p>      <!-- ===================== SECTION 5 ===================== --><\/p>\n<div class=\"section-title\">Section 5 \u2014 Security, Testing, Deployment, Observability &amp; Interview Q&amp;A<\/div>\n<div class=\"card bg-blue\">\n<h3>41) Access Control &amp; RBAC<\/h3>\n<p>Use fine-grained roles for read\/write\/modify monitors, dashboards, and org settings. Apply team-based ownership and approval flows for changes via IaC.<\/p>\n<pre><code class=\"mono\"># Assign roles via API (sketch)\r\ncurl -X POST https:\/\/api.datadoghq.com\/api\/v2\/roles\/{role_id}\/users -d @users.json<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-green\">\n<h3>42) Sensitive Data &amp; PII<\/h3>\n<p>Mask\/redact sensitive fields at ingestion. Use log pipelines to hash or drop PII. Limit access via facets\/permissions. Comply with retention and data residency policies.<\/p>\n<pre><code class=\"mono\"># Redaction rule idea\r\nif (field == \"email\") redact()<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-amber\">\n<h3>43) Testing Observability<\/h3>\n<p>Write unit tests for parsers, schema for logs, and golden dashboards. Validate monitors in staging and use synthetic CI gates. Snapshot queries in notebooks for regression.<\/p>\n<pre><code class=\"mono\"># Example: test a grok pattern with sample logs in CI<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-violet\">\n<h3>44) Deploy &amp; Promote<\/h3>\n<p>Use Terraform\/Datadog provider to promote dashboards\/monitors across environments. Tag resources with <code>env<\/code>, <code>team<\/code>, and <code>owner<\/code>. Keep runbooks linked from monitors.<\/p>\n<pre><code class=\"mono\"># Workspace variables pattern:\r\nvariable \"env\" {}  # dev\/stage\/prod<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-rose\">\n<h3>45) Observability KPIs<\/h3>\n<p>Track MTTA\/MTTR, alert volume, SLO burn, error budget spend, and dashboard usage. Review weekly with teams to prune noise and improve runbooks.<\/p>\n<pre><code class=\"mono\"># System tables\/usage APIs (conceptual) to feed KPI dashboards<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-cyan\">\n<h3>46) Troubleshooting Playbook<\/h3>\n<p>Start at service overview \u2192 latency\/errors \u2192 related logs \u2192 traces \u2192 infrastructure maps \u2192 recent deploys. Use tag filters (<code>service, env, version<\/code>) and time compare (now vs last release).<\/p>\n<pre><code class=\"mono\"># Quick tag filter set: service:api env:prod version:1.12.*<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-lime\">\n<h3>47) Cost Visibility<\/h3>\n<p>Break down by product (logs\/APM\/metrics), index, and team tags. Alert on ingestion spikes; auto-open incidents on runaway logs (looping errors) with rate caps.<\/p>\n<pre><code class=\"mono\"># Monitor idea: logs intake rate anomaly for service:api<\/code><\/pre>\n<\/p><\/div>\n<div class=\"card bg-orange tight\">\n<h3>48) Production Checklist<\/h3>\n<ul>\n<li>Agent healthy on all nodes\/containers<\/li>\n<li>Golden dashboards per service with templates<\/li>\n<li>Critical SLOs + burn alerts<\/li>\n<li>Error tracking + profiling enabled<\/li>\n<li>Parsing pipelines + PII redaction<\/li>\n<li>Terraform-managed monitors &amp; synthetics<\/li>\n<\/ul><\/div>\n<div class=\"card bg-indigo\">\n<h3>49) Common Pitfalls<\/h3>\n<p>Inconsistent tags, unbounded log ingestion, no sampling, alerting on infrastructure-only symptoms, ignoring seasonality, and missing linkage between logs\/traces\/metrics.<\/p>\n<\/p><\/div>\n<div class=\"card bg-emerald qa\">\n<h3>50) Interview Q&amp;A \u2014 20 Practical Questions (Expanded)<\/h3>\n<p><b>1) Why tags?<\/b> They enable slicing\/correlation across metrics, logs, and traces\u2014critical for multi-service views.<\/p>\n<p><b>2) Control log cost?<\/b> Index selectively, archive, create metrics-from-logs, and drop chatty DEBUG in prod.<\/p>\n<p><b>3) APM vs logs for errors?<\/b> Use APM for rates\/latency and service maps; logs for stack traces and context.<\/p>\n<p><b>4) What is burn rate?<\/b> Speed at which an SLO\u2019s error budget is consumed; alert on multi-window burns.<\/p>\n<p><b>5) When anomaly vs threshold?<\/b> Anomaly for seasonal metrics; thresholds for hard constraints (e.g., 5xx &gt; 1%).<\/p>\n<p><b>6) Sampling best practice?<\/b> Always keep errors and slow traces; sample healthy traffic.<\/p>\n<p><b>7) Dashboards vs notebooks?<\/b> Dashboards for real-time ops; notebooks for investigations\/runbooks.<\/p>\n<p><b>8) What are facets?<\/b> Indexed log attributes to filter\/aggregate quickly.<\/p>\n<p><b>9) Reduce toil?<\/b> Composite monitors, mute windows, and auto-remediation runbooks.<\/p>\n<p><b>10) Trace-log correlation?<\/b> Inject trace IDs into logs and configure pipelines to parse them.<\/p>\n<p><b>11) CI Visibility value?<\/b> Detect flaky tests, slow stages, and correlate to prod regressions.<\/p>\n<p><b>12) DBM when?<\/b> For DB bottlenecks: lock waits, slow queries, and plan analysis.<\/p>\n<p><b>13) Network monitoring?<\/b> NPM\/eBPF for flows, latency, and dependencies across hosts\/pods.<\/p>\n<p><b>14) RUM KPIs?<\/b> LCP, FID\/INP, CLS; segment by device\/geo and release.<\/p>\n<p><b>15) ASM benefit?<\/b> Block threats at runtime with APM-integrated context.<\/p>\n<p><b>16) Golden signals?<\/b> Latency, traffic, errors, saturation\u2014dashboards + alerts per service.<\/p>\n<p><b>17) On-call hygiene?<\/b> Rotations, escalation, actionable alerts, and postmortems.<\/p>\n<p><b>18) Multi-tenant tagging?<\/b> Add <code>team<\/code> and <code>owner<\/code> tags; restrict via RBAC.<\/p>\n<p><b>19) Infra drift?<\/b> Use agent inventory and cloud integrations to detect missing coverage.<\/p>\n<p><b>20) When not Datadog?<\/b> Very small apps or tight budgets where built-in cloud monitors suffice.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Datadog Pocket Book \u2014 Uplatz 50 deep-dive flashcards \u2022 Single column \u2022 Fewer scrolls \u2022 20+ Interview Q&amp;A \u2022 Readable code examples Section 1 \u2014 Fundamentals 1) What is Datadog? <span class=\"readmore\"><a href=\"https:\/\/uplatz.com\/blog\/datadog-pocket-book\/\">Read More &#8230;<\/a><\/span><\/p>\n","protected":false},"author":2,"featured_media":4845,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2411,2462],"tags":[],"class_list":["post-4753","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-datadog","category-pocket-book"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Datadog Pocket Book | Uplatz Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uplatz.com\/blog\/datadog-pocket-book\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Datadog Pocket Book | Uplatz Blog\" \/>\n<meta property=\"og:description\" content=\"Datadog Pocket Book \u2014 Uplatz 50 deep-dive flashcards \u2022 Single column \u2022 Fewer scrolls \u2022 20+ Interview Q&amp;A \u2022 Readable code examples Section 1 \u2014 Fundamentals 1) What is Datadog? 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