Build Datadog Log Analytics with Facets and Measures
Datadog Log Analytics, when wielded effectively, doesn't just store logs; it transforms them into a dynamic, queryable knowledge base that can answer qu.
Datadog Articles
55 articles
Collect AWS Lambda Logs in Datadog with the Forwarder
The Datadog Lambda Forwarder is a surprisingly simple Lambda function that acts as a buffer and enrichment layer for your AWS Lambda logs, getting them .
Track Conversion Funnels in Datadog RUM
Datadog RUM lets you visualize user journeys through your app, not just as a series of page loads, but as discrete, meaningful steps in a conversion fun.
Monitor Kubernetes Clusters on GKE, EKS, and AKS with Datadog
Datadog can monitor Kubernetes clusters on GKE, EKS, and AKS by collecting metrics, logs, and traces from your cluster components and workloads.
Configure Datadog Metrics Retention to Balance Cost and History
Datadog's default metrics retention is designed for maximum visibility, but it can become a significant cost center if not managed.
Use the Datadog Host Map to Visualize Infrastructure Health
The Datadog Host Map is less about passively viewing your infrastructure and more about actively interrogating it, turning a static diagram into a dynam.
Run Incident Management and Postmortems in Datadog
Datadog's Incident Management and Postmortems are more than just tools for tracking outages; they're a structured way to understand system behavior unde.
Organize Datadog Infrastructure with Host Tags and Filters
Organize Datadog Infrastructure with Host Tags and Filters — practical guide covering datadog setup, configuration, and troubleshooting with real-world ...
Install the Datadog Agent on Kubernetes as a DaemonSet
Datadog Agent on Kubernetes as a DaemonSet is designed to give you visibility into every node in your cluster, but getting it running can feel like tryi.
Search and Filter Logs in Real Time with Datadog Live Tail
Datadog's Live Tail feature lets you see logs as they're generated, which sounds like tailing a file, but it's actually a complex distributed system pus.
Generate Metrics from Logs in Datadog to Cut Indexing Costs
Datadog metrics derived from logs are not just a cost-saving hack; they fundamentally change the nature of your observability data, turning ephemeral ev.
Filter Out Noisy Logs at Ingestion to Control Datadog Costs
Datadog's cost model is primarily driven by ingested log volume, so filtering out noise before it hits Datadog is the most effective way to control your.
Parse and Enrich Logs in Datadog with Log Processing Pipelines
Datadog's log processing pipelines can enrich your logs with custom attributes before they even hit the indexing layer, dramatically reducing storage co.
Detect Anomalies in Datadog Metrics with Machine Learning Monitors
Datadog's anomaly detection monitors don't just flag spikes; they predict future metric values and alert you when the actual observed value deviates sig.
Build Composite Monitors in Datadog for Multi-Condition Alerts
Datadog composite monitors don't just let you combine simple alerts; they let you express complex conditions that often mirror real-world system states,.
Set Up Datadog Across Multiple Accounts and Organizations
Datadog’s multi-account and multi-org setup isn’t about stitching together separate monitoring silos; it’s about creating a unified observability plane .
Monitor Network Traffic and Latency with Datadog NPM
Datadog Network Performance Monitoring NPM doesn't just show you if there's traffic; it reveals the hidden conversations between your services and how l.
Parse JSON and Custom Log Formats with Datadog Grok Parser
Datadog's Grok parser can parse structured JSON and unstructured custom log formats into machine-readable attributes, but it's not a magic bullet for po.
Track Process and Network Connections with Datadog Process Agent
Datadog's Process Agent doesn't just passively observe; it actively interrogates your running processes and their network interactions, painting a detai.
Profile CPU and Memory in Production with Datadog Continuous Profiler
Datadog's Continuous Profiler can reveal surprising inefficiencies that aren't obvious from traditional metrics, often pointing to code paths consuming .
Rehydrate Archived Logs in Datadog for Historical Investigation
Datadog's "rehydration" isn't about bringing logs back from the dead, it's about paying a premium to access logs that have been moved to cheaper, slower.
Set Up Datadog RUM to Track Real User Experience
Datadog RUM is not just about tracking page loads; it's about understanding the quality of the experience from the user's perspective, in real-time, acr.
Detect Cloud Misconfigurations with Datadog CSPM
Datadog's Cloud Security Posture Management CSPM doesn't just find misconfigurations; it actively prevents them by mapping your cloud environment's inte.
Track Service Ownership and Dependencies with Datadog Service Catalog
Datadog's Service Catalog is the closest thing you'll get to a "single source of truth" for your services, but it's not about a static inventory; it's a.
Send Custom Metrics from Any App with DogStatsD
Send Custom Metrics from Any App with DogStatsD — practical guide covering datadog setup, configuration, and troubleshooting with real-world examples.
Monitor Uptime and User Flows with Datadog Synthetic Tests
Datadog synthetic tests don't just check if a server is up; they simulate actual user journeys through your application to catch issues before your user.
Build a Datadog Tagging Strategy for Unified Service Monitoring
Datadog's tagging system is less about what you're monitoring and more about how you're grouping and querying it, turning a firehose of metrics into act.
Configure Datadog Trace Sampling to Control APM Costs
Datadog APM trace sampling is not just a knob to turn to save money; it's a fundamental mechanism for shaping your observability data and, by extension,.
Let Datadog Watchdog Auto-Detect Anomalies Without Writing Monitors
Datadog's Watchdog is designed to surface issues you'd otherwise have to write monitors for, and it does this by continuously analyzing your time-series.
Fix DogStatsD Non-Local Traffic Disabled Error
DogStatsD, the agent's statsd protocol endpoint, refused to accept metrics from a source that wasn't the local machine, indicating a security or configu.
Fix Datadog Forwarder Too Many Retries Error
The Datadog Forwarder failed to send logs to the Datadog API because an upstream network component rejected its connection attempts too many times.
Fix Datadog Integration Instance Configuration Error
The Datadog integration instance configuration error means the Datadog agent on a host can't communicate with the Datadog API to send metrics or logs.
Fix Datadog Trace Chunk Dropped Due to Full Queue
Datadog's trace agent is dropping trace chunks because its internal queue is full, preventing the agent from sending valuable performance data to the Da.
Fix Datadog "Check Loader: No Valid Integration Found" Error
The Check Loader: No Valid Integration Found error means the Datadog Agent is trying to load a DogStatsD check, but it can't find the necessary configur.
Fix Datadog Cloud Workload Security Events Being Dropped
Datadog's Cloud Workload Security CWS agent is failing to send security events to the Datadog backend, leading to gaps in your security visibility.
Fix Datadog Collector Check Failure and Why It Happens
The Datadog Agent's disk check is failing because the Agent process is unable to access the filesystem metrics it needs, often due to permissions or fil.
Fix Datadog Container Excluded by Filter Configuration
Datadog's agent is failing to collect metrics from your containers because a filter in the Datadog agent's configuration is actively excluding them.
Diagnose Datadog Agent High CPU and Memory Usage
Diagnose Datadog Agent High CPU and Memory Usage — practical guide covering datadog setup, configuration, and troubleshooting with real-world examples.
Stop Datadog Alert Flapping with Evaluation Windows and No-Data Config
Datadog alert flapping is often a symptom, not the disease, and understanding the underlying configuration is key to true resolution.
Set Up Datadog APM for Distributed Tracing Across Services
Set Up Datadog APM for Distributed Tracing Across Services — practical guide covering datadog setup, configuration, and troubleshooting with real-world ...
Instrument a Node.js Express App with Datadog APM
Instrument a Node.js Express App with Datadog APM — Datadog APM for Node.js is more about observing your application's behavior than just collecting met.
Use the Datadog Service Map to Visualize Dependency Traces
The Datadog Service Map doesn't actually show you all your dependencies; it only visualizes the ones that are contributing to or are part of an active t.
Audit Who Changed What in Datadog with Audit Trail
Datadog's Audit Trail is your digital notary, logging every significant action taken within your Datadog account, letting you answer "who did what, when.
Set Up Datadog AWS Integration Across Multiple Accounts with IAM
Set Up Datadog AWS Integration Across Multiple Accounts with IAM — practical guide covering datadog setup, configuration, and troubleshooting with real-...
Track and Fix Flaky Tests with Datadog CI Test Visibility
Datadog CI Test Visibility is failing to report test results, leading to a complete blackout of your CI/CD pipeline's performance.
Scan Container Images for CVEs with Datadog Container Security
Datadog Container Security can tell you if your container images have vulnerabilities, but it's not just about listing CVEs; it's about understanding th.
Monitor Running Containers and Processes in the Datadog Live View
The Datadog Live View is your real-time window into what's actually happening inside your containers and on your hosts, not just what your dashboards th.
Cut Datadog Costs by Optimizing Metrics, Logs, and Retention
Datadog's billing is primarily driven by metrics, logs, and traces ingested and retained. To cut costs, you need to understand what you're sending and h.
Write a Custom Datadog Agent Check in Python
Datadog agent checks are not just for collecting metrics; they are the primary mechanism for integrating external systems into Datadog's monitoring and .
Send Custom Metrics to Datadog Without Blowing Your Budget
Datadog metrics aren't just for infrastructure; they're a powerful tool for understanding your application's behavior, but sending too many can decimate.
Manage Datadog Dashboards as Code with Terraform
Terraform can manage Datadog dashboards, but it's not just about creating them; it's about treating your dashboards as immutable infrastructure.
Monitor Slow Queries and Wait Events with Datadog DBM
Datadog's Database Monitoring DBM service doesn't just tell you that your queries are slow; it pinpoints why by correlating query performance with the a.
How Datadog DDSketch Delivers Accurate P99 Metrics at Scale
DDSketch isn't just another way to store percentiles; it's a probabilistic data structure that makes P99 metrics more accurate at scale, not less.
Manually Instrument Python Code with ddtrace for Custom Spans
Adding custom spans to your Python code with ddtrace is how you get visibility into specific, business-critical operations that aren't automatically cap.
Schedule Datadog Downtime to Silence Alerts During Maintenance
Datadog downtime is how you tell the system to ignore incoming alerts for a specific period, preventing your team from being pestered by notifications d.