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Datadog Certification Training

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Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 Datadog Online Training

Datadog is a leading cloud-based monitoring and analytics platform developed by Datadog, used for monitoring applications, infrastructure, logs, and security in real time. It provides full-stack observability by integrating metrics, traces, and logs into a single platform. With the rise of cloud computing and DevOps, professionals skilled in Datadog are in high demand for roles in DevOps, SRE, and cloud monitoring.

This course provides in-depth, hands-on experience in monitoring cloud environments, analyzing performance, setting up alerts, and troubleshooting issues using Datadog.

🚀 Its Core Capabilities Include:

Infrastructure Monitoring:
Monitor servers, containers, and cloud services in real time.
Application Performance Monitoring (APM):
Track application performance and identify bottlenecks.
Log Management:
Collect, analyze, and visualize logs from multiple sources.
Real-Time Alerts:
Set up alerts for system health and performance issues.
Dashboard & Visualization:
Create custom dashboards for monitoring metrics.
Cloud & DevOps Integration:
Integrate with AWS, Azure, Kubernetes, and CI/CD tools.
Security Monitoring:
Detect threats and ensure system security.

📍 Bonus: Certification Tracks

  • DevOps Associate Certification
  • Datadog Developer Certification
  • Datadog Application Developer Certification
  • Datadog Expert Certification (Viswa Online Trainings)

Datadog Training Course Syllabus

Foundation, Architecture & Infrastructure
  • Monitoring vs. Observability, Datadog Architecture (SaaS Model & Components).
  • The 3 Pillars of Observability (Metrics, Logs, Traces) and Tagging Best Practices (The backbone of filtering in Datadog).
  • Setting up your Datadog Sandbox environment and API/Application key management.
  • Host-based Datadog Agent installation, configuration files (datadog.yaml), and checking agent status.
  • Containerized infrastructure monitoring (Docker/Kubernetes Agent daemonsets).
  • Enabling native cloud ecosystem integrations (AWS, Azure, or GCP cloud-to-cloud connectors)
Log Management, Pipelines & Cost Optimization
  • Log Collection mechanism: modifying conf.yaml to tail files, container logs, and system logs.
  • Navigating the Log Explorer: basic querying, filtering, and creating log facets.
  • Designing Log Processing Pipelines: Grooming unstructured strings into clean JSON using Grok parsers.
  • Log Remapping: Extracting timestamps, uniform status attributes, and custom message formats.
  • Log Cost Control: Configuring Ingestion Rules vs. Index Filters to drop noisy data before it incurs costs.
  • Archives: Setting up cold storage configurations (S3/GCS buckets) and testing log rehydration.
APM, Tracing & Frontend Monitoring
  • APM Core Concepts: Distinguishing Traces, Spans, and Service Maps.
  • Database Monitoring (DBM) and leveraging the Continuous Profiler to scan for code-level CPU/Memory bottlenecks.
  • Synthetic Monitoring: Creating API tests and recording automated browser testing scripts.
  • Real User Monitoring (RUM): Injecting client-side SDKs, analyzing web vitals, and tracing frontend-to-backend flows.
Dashboards, Alerting, Incident Response, SLOs & Automation
  • Building Dashboards: Mastering time-series graphs, top lists, query structures, and template variables.
  • Alerting Mechanism: Building basic Metric and Log monitors using multi-alert group thresholds.
  • Advanced Alerts: Designing Outlier, Anomaly, and Composite monitors to strip out false positives.
  • Alert Routing & Incident Management: Connecting notifications to PagerDuty/Slack, SNOW and configuring maintenance windows.
  • Creating Service Level Objectives (SLOs): Building dashboard widgets focused on availability and latency error budgets.
  • Observability as Code: Exporting created dashboards/monitors into a native Terraform script.
Datadog Course Key Features

Course completion certificate

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Datadog Online Training FAQ'S

What is Datadog?

Datadog is a cloud-based monitoring and observability platform used to track infrastructure, applications, and logs in real time. It helps teams detect issues quickly and maintain system performance.

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What is APM in Datadog?
  • APM (Application Performance Monitoring) is used to monitor application performance and trace requests across services. It helps identify slow transactions, bottlenecks, and errors in applications.

What are Dashboards in Datadog?
  • Dashboards in Datadog are customizable visual panels used to display metrics, logs, and system performance. They provide a real-time overview of system health and help in decision-making.
What is Log Management in Datadog?
  • Log Management allows collecting, storing, and analyzing logs from multiple systems and applications. It helps in debugging issues and understanding system behavior.

What is alerting in Datadog?
  • Alerting is used to notify users when system metrics cross defined thresholds or anomalies occur. It ensures quick response to issues and reduces downtime.

Reviews

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syed sayyad profile picture
syed sayyad
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Nice place to learn with commitment and extra sessions to learn advance topics.
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Jatoth Laxman profile picture
Jatoth Laxman
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Very nice 😊 satisfied
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PAVAN KUMAR profile picture
PAVAN KUMAR
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The training was very well-structured and easy to follow. The progression from foundational topics to advanced concepts made the learning experience smooth and engaging.
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venkataramanareddy beeram profile picture
venkataramanareddy beeram
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Very good for people who is going to enchance cloud technology
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Vishwa Teja profile picture
Vishwa Teja
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Really good consultancy with a friendly and supportive team. They guide you at every step and keep you updated, which makes the whole process smooth. Definitely recommend for freshers and job seekers.
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Jayasimhareddy Chamala profile picture
Jayasimhareddy Chamala
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My trainer RAVI was excellent in delivering SAP Analytics Cloud (SAC) training. The sessions were clear and informative, and the overall training experience was very good. The only suggestion I have is that more hands-on practice would help students understand the subject even better. I truly appreciate her honesty and support, especially in handling the server issues during the course. Anyone looking to learn SAC can confidently trust and enroll in this training.
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Vanama jithendra profile picture
Vanama jithendra
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I recently completed my course in VISWA online trainings it is a good experience for me basically my college faculty don't clarify my doughts but they clearly gave clear explanations for all my doughts with patience. Thank you VISWA for improving my skills ❣️
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Siddhartha Mothukuri
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Learnt SAP EWM and it has been a really good experience with VISWA Online Trainings and trainer has been excellent in terms of his understanding in business as well as SAP. Thank you

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