# KodeKloud: Beta Courses Migrating to Datadog

## Migrating to Datadog

### Observability Basics

- [Introduction](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Observability-Basics/Introduction/page.md): Hands-on course guiding teams through migrating observability to Datadog using OpenTelemetry, covering planning, execution, dashboards, integrations, and post-migration validation.
- [Course Introduction](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Observability-Basics/Course-Introduction/page.md): Hands-on course teaching observability fundamentals and step by step migration from legacy monitoring to Datadog, including planning, architecture, execution and post-migration validation
- [Exploring Observability](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Observability-Basics/Exploring-Observability/page.md): Explains observability importance for modern distributed cloud systems, describing telemetry types, placement in architectures, and benefits for business and engineering teams.
- [Observability Flow](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Observability-Basics/Observability-Flow/page.md): Describes telemetry flow from user requests through collection pipelines to monitoring backends, covering traces metrics logs and best practices for diagnosis and reliability
- [Observability Pillars](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Observability-Basics/Observability-Pillars/page.md): Explains metrics, logs, traces, and profiles and how correlating them helps diagnose incidents and optimize system performance.
- [OpenTelemetry](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Observability-Basics/OpenTelemetry/page.md): Overview of OpenTelemetry, a vendor neutral standard and Collector architecture for instrumenting, collecting, processing, and exporting telemetry to enable interoperable observability across tools

### Datadog Basics

- [Datadog](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Datadog-Basics/Datadog/page.md): Overview of Datadog, a cloud-based observability and security platform that centralizes telemetry, integrates widely, and provides APM, logs, metrics, and security monitoring
- [Understanding the Architecture](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Datadog-Basics/Understanding-the-Architecture/page.md): Overview of Datadog architecture, components, data collection and delivery models, observability features, integrations, agents, data flow, and enterprise networking and site considerations for deployment
- [Integrations](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Datadog-Basics/Integrations/page.md): Overview of Datadog integrations catalog, data collected, marketplace, and best practices for safe rollout.
- [Datadog Agents](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Datadog-Basics/Datadog-Agents/page.md): Overview of Datadog Agents, their deployment on hosts and Kubernetes, telemetry collection, installation, integrations, authentication, and troubleshooting
- [Serverless Connectors](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Datadog-Basics/Serverless-Connectors/page.md): Explains Datadog Serverless Connectors for collecting metrics traces logs and profiles from serverless platforms plus instrumentation configuration and secure credential management

### Pre-Migration

- [Understanding Your Legacy Stack](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Understanding-Your-Legacy-Stack/page.md): Guide to planning a safe phased migration from legacy monitoring systems by mapping inventories, integrations, user needs, compliance constraints, and designing a sustainable target platform
- [Reasons to Migrate](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Reasons-to-Migrate/page.md): Benefits of migrating to Datadog for unified observability and security, highlighting integrations, ML/AI detection, cost management, and streamlined cross-team collaboration
- [Enterprise x Open Source](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Enterprise-x-Open-Source/page.md): Comparing enterprise and open-source observability solutions, their trade-offs, operational responsibilities, costs, and guidance for choosing the right approach.
- [Evaluating Your Options](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Evaluating-Your-Options/page.md): Guide to selecting and implementing a monitoring and observability platform through internal requirements, market research, vendor PoCs, and a documented implementation strategy
- [Strategy](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Strategy/page.md): Guidance for planning and executing a risk‑controlled migration from legacy observability to a new platform, covering strategies, success criteria, approaches, validation gates, and scheduling buffers.
- [Approach](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Approach/page.md): Practical phased migration guide for moving observability to Datadog covering access prerequisites, agent and integration setup, validation, feedback loops, and risk management.
- [Applications](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Applications/page.md): Guidance for instrumenting applications and updating CI/CD pipelines during migration to an observability platform, including tracer integration, testing, decommissioning legacy collectors, and migration documentation
- [Infrastructure](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Infrastructure/page.md): Guidelines and checklist for planning, validating, and coordinating staged infrastructure migrations including inventory, testing, rollouts, rollback, and communication to minimize disruption.
- [Rollback](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Rollback/page.md): Explains rollbacks in DevOps, their importance, Kubernetes and Helm commands, and rollback best practices.
- [Feedback](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Feedback/page.md): Defining roles, responsibilities, and escalation paths among platform engineers, DevOps, and end users to streamline observability migration, feedback flows, and incident resolution.
- [Lessons Learned](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Pre-Migration/Lessons-Learned/page.md): Pre-migration lessons for moving to Datadog — check compatibility, confirm account feature availability, and improve cross functional communication to avoid delays and rework.

### Migration - What should you look into

- [Starting Your Migration](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-What-should-you-look-into/Starting-Your-Migration/page.md): Guidance for executing iterative small-batch platform migrations with observability, validation, risk-reducing rollouts, decommissioning legacy components, and managing technical debt.
- [Focusing on Your Legacy](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-What-should-you-look-into/Focusing-on-Your-Legacy/page.md): Guidance for migrating observability systems, managing legacy components and technical debt, organizing teams and roles, and best practices for decommissioning, instrumentation, dashboards, and alerting
- [Dashboards](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-What-should-you-look-into/Dashboards/page.md): Guidance on migrating, designing, and managing observability dashboards in Datadog to preserve visibility, improve performance, and enable collaboration
- [Alerts](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-What-should-you-look-into/Alerts/page.md): Guidance on migrating, testing, and managing monitoring alerts to ensure telemetry availability, reduce noise, and validate notifications when moving to Datadog or replacing legacy alerting systems.
- [Business Rules](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-What-should-you-look-into/Business-Rules/page.md): Guidance and business rules for planning and auditing a safe migration from Prometheus monitoring to Datadog, preserving alerts, metrics, cost control, and validation steps.
- [Exploring Your Possibilities](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-What-should-you-look-into/Exploring-Your-Possibilities/page.md): Guidance for handling nonideal platform migrations including parallel legacy operation, missing features, stakeholder alignment, evaluating extended support, integrations, third-party tools, custom builds, and cutover planning

### Migration - Structuring your Platform

- [Defining Your Architecture](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Defining-Your-Architecture/page.md): Guidelines for designing scalable, secure enterprise observability architecture covering access controls, data security, backups, compliance, CI/CD artifact security, and operational support models
- [Tailoring Your Configuration](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Tailoring-Your-Configuration/page.md): Guidance to configure Datadog Agent to reduce costs, control metric cardinality, filter and mask logs, and enforce explicit, auditable collection rules.
- [Data Ingestion](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Data-Ingestion/page.md): Guidance on collecting, managing, and designing scalable telemetry ingestion into Datadog, covering telemetry types, sources, sampling, tagging, retention, and cost control practices.
- [Demo Data Ingestion](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Demo-Data-Ingestion/page.md): Guide showing how to deploy Datadog to a k3d Kubernetes cluster, configure API key and operator, instrument a Node.js app, generate traffic, and view metrics logs traces
- [Data Visualization](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Data-Visualization/page.md): Guide to turning telemetry into actionable dashboards, alerts, and log-based metrics in Datadog, covering notebooks, anomaly detection, and best practices for visibility and cost control.
- [Demo Data Visualization](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Demo-Data-Visualization/page.md): A Datadog walkthrough demonstrating metrics, logs, traces, Kubernetes visibility, query building, tag management, dashboards, and cost monitoring for operational observability and FinOps.
- [Security IAM](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Security-IAM/page.md): Guidance on designing scalable Identity and Access Management for observability platforms, covering RBAC, IdP integration, automation, least privilege, lifecycle management, segregation of duties, and auditing
- [Demo Security IAM](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Demo-Security-IAM/page.md): Guide to Datadog identity and access management covering users, teams, service accounts, keys, roles, authentication, federation, and best practices for least privilege and secret management
- [Security Architecture Concerns and Thoughts](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Security-Architecture-Concerns-and-Thoughts/page.md): Checklist summarizing security and reliability concerns for enterprise architecture reviews, guiding design decisions on data residency, access control, availability, networking, retention, and encryption
- [Learned lessons](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Migration-Structuring-your-Platform/Learned-lessons/page.md): Practical lessons for planning and executing system migrations focusing on scope control, contingency, early escalation, and stakeholder visibility.

### Post-Migration

- [Evaluating Your Results](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Evaluating-Your-Results/page.md): Guidance for post-migration verification and stabilization, covering monitoring parity, telemetry, user feedback, observability adjustments, documentation, and a checklist to finalize and optimize a platform migration
- [Deactivating Your Legacy Stack](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Deactivating-Your-Legacy-Stack/page.md): Guidance for DevOps and SRE incident response covering monitoring, alerting, triage, investigation, cross-team coordination, postmortems, and improving observability with tools like Datadog.
- [Responding](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Responding/page.md): Guide for DevOps and SRE incident response covering monitoring, alerting, Datadog integrations, triage using metrics logs traces, collaboration, and postincident runbooks to reduce detection and resolution time
- [Collaboration Culture](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Collaboration-Culture/page.md): How Datadog fosters collaboration culture by centralizing observability, enabling shared dashboards, notebooks, runbooks, and reusable components to improve knowledge sharing, incident response, and cross-team consistency
- [Watchdog](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Watchdog/page.md): Datadog Watchdog is an AI observability assistant that automatically detects and prioritizes anomalies by baselining behavior and correlating metrics, logs, traces, and events for faster root cause analysis.
- [Lessons Learned](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Lessons-Learned/page.md): Post-migration lessons for evolving an observability platform with continuous feedback, engineer enablement, cross-team collaboration, safe experimentation, and regular dependency maintenance.
- [Keeping in Touch](https://notes.kodekloud.com/docs/Migrating-to-Datadog/Post-Migration/Keeping-in-Touch/page.md): Practical guidance for staying updated on Datadog resources, release notes, learning materials, and community channels, plus tips for sharing them with your team.