Dynatrace - Zero to SuperHero in Production performance

Set up and configure a Google Cloud vm, install Docker, JDK, Python, and Git, clone a repo, and deploy the Easy Travel app with Docker Compose, preparing for Dynatrace monitoring.

Learn how the one agent, a software, runs on virtual machines or containers and sends metrics, logs, traces, and end-user data securely to your Dynatrace SaaS account over https 443.

Explore Dynatrace OneAgent monitoring modes, including full stack, infrastructure, and discovery, and learn to select the appropriate mode for end-to-end monitoring or basic health checks.

Learn to automate Dynatrace agent deployment across multiple servers using Ansible, by setting up an Ansible server on Ubuntu, preparing two VMs, and applying a full agent install playbook.

Learn how to deploy nginx to two virtual machines with Ansible, using an inventory file, ping checks, and a playbook to automate multi-server setup from a single control machine.

Learn to use Dynatrace to diagnose production problems and pinpoint high cpu usage patterns, including vm hosted apps, system processes, file and network activity, and traffic spikes.

Learn to debug CPU spikes with Dynatrace using basic and quick approaches, inspect host and process metrics, and pinpoint the root cause in the com.bank.transaction code via method hotspots.

Discover how distributed tracing and profiling identify thread contention, revealing most threads locked and blocked; drill down to method hotspots to fix locking and improve end-user response times.

Proactively diagnose java memory problems and out of memory errors by analyzing heap memory, young and old generations, and garbage collection behavior in production.

Use Dynatrace memory profiling to diagnose out-of-memory errors, view flame graphs and survivor data to identify the bottom app code, then fix by dereferencing objects to enable GC.

Learn to monitor database performance with Dynatrace by installing the one agent on the host, identifying root causes of high CPU, and tracing SQL slowdowns, connections, and Postgres-specific metrics.

Enable the Postgres extension to access Postgres-specific metrics like deadlocks, uptime, and total connections, and configure the monitoring endpoint to visualize these metrics in Dynatrace dashboards.

Set up Dynatrace OneAgent on a Kubernetes cluster with Helm, using the downloaded YAML, deploy the agent, and verify Dynatrace pods to monitor the cluster.

Explore full stack monitoring for complete Kubernetes observability with disk and network analysis, compare application and platform monitoring, and learn migration steps via simple YAML changes.

Explore migration challenges from Dynatrace to Datadog for APM monitoring, including uninstalling and reinstalling agents across hundreds of VMs, and learn how OpenTelemetry helps tackle these hurdles.

Install the OpenTelemetry agent on VMs to collect metrics, logs, and traces and route them to Dynatrace or other backends like New Relic or Splunk, with flexible multi-endpoint support.

Deploy a simple OpenTelemetry demo app in a docker container, then enable the OpenTelemetry agent to collect metrics and logs and send them to Dynatrace for monitoring.

Learn how tagging in Dynatrace organizes services and resources with labels and rules, enabling quick search and analysis of end-to-end applications, illustrated by Paytm’s SBI and HDFC monitoring.

Apply automatic tagging in Dynatrace to map hosts, services, and processes to customer names, enabling fast filtering and precise dashboards.