
Explore Datadog's multi-cloud observability platform, covering metrics, logs, dashboards, and alerts, with emphasis on infrastructure, APM tracing, synthetic monitoring, and unified telemetry through agents and integrations.
Integrate infra-level metrics from cloud resources into Datadog via a pre-built CloudFormation template to enable a centralized cloud dashboard.
Explore a high-resolution dashboard visualizing CPU, memory, disk utilization, and events with synchronized time-series widgets for easy anomaly detection across Kubernetes clusters, namespaces, and pods.
Visualize your infrastructure with Datadog to monitor hosts, containers, and Kubernetes components across availability zones, identify outliers, and track CPU and memory usage.
Explore log management with Datadog's aggregate search and visualizations, filtering by service and namespace, and time series graphs to identify patterns, redundant records, and opportunities to adjust log levels.
Monitor cloud and docker events with Datadog observability, filter by source and tag, configure memory usage alerts, and integrate alerts via email, Slack, or SMS.
Explore application performance monitoring (APM) and how the killer dashboard reveals HTTP request latency, traces, and service topology with Prometheus and Gravano dashboards.
Set up synthetic tests to monitor public endpoints, track uptime and latency, and simulate regional user requests every 30 minutes to validate availability and performance.
Explore network monitoring through a service map that visualizes topology, latency, error rate, and requests per second, using Datadog dashboards and the open source Datadog agent.
Set up a Kubernetes cluster and deploy the guestbook app while integrating Datadog monitoring. Configure the Datadog agent and Nginx ingress to collect metrics and logs.
This course is for intermediate+ DevOps software engineer to learn observability in Kubernetes using Datadog (monitoring, logging, alerting).
If you are one of the below:
- what is Datadog and datadog agentg?
- how can I aggregate and analyze K8s logs?
- what is APM (App Performance Monitoring)?
- what are Datadog features/services?
Then, you will understand the basics of Datadog in 30 minutes!
Who should take this course
at least intermediate level in DevOps, Kubernetes, and Docker
you know how to use Helm chart
you have setup K8s cluster in AWS EKS (or GKE etc)
Why you should take this course:
1. Instructed by a cloud DevOps engineer (with CKA and certified AWS DevOps pro) working at US company in SF
I have been pretty handson with Terraform, AWS, AWS EKS with 7+ industry experience in both North America and Europe.
My background & Education & Career experience
Cloud DevOps Software Engineer with 7+ years experience
Bachelor of Science in Computing Science from a Canadian university
Knows Java, C#, C++, Bash, Python, JavaScript, Terraform, IaC
Expert in AWS (holds AWS DevOps Professional certification) and Kubernetes (holds Certified Kubernetes Administrator, CKA)
I will see you inside!
Please note this is a free sample course for "Datadog in Kubernetes"
NOTE: This is a free intro course for "Datadog in Kubernetes".