Introduction
Overview of this Course00:1:38Preview
AWS CloudWatch Integration with Dynatrace
At the end of this section, students will be able to successfully integrate AWS CloudWatch Metrics and Logs with Dynatrace for complete cloud visibility. They will also be able to validate data ingest
CloudWatch Integration – Dynatrace00:16:18Preview
CloudWatch Logs Stream Integration00:22:52
CloudWatch Metrics Stream Integration00:7:33
Solving CPU Problem the Smart Way
High CPU ? Lets find what wrong00:3:39
Root Cause Analysis of CPU spikes: Smart Approach00:14:46Preview
Root Cause Analysis of CPU Spikes : Quick Approach00:3:42Preview
Is Disk I/O Eating Your CPU?00:7:37
Threads Contention? How to Fix it00:7:18
Mastering in Memory Management problems
Understanding Java Memory Management Made Easy!00:19:08
How to Monitor JVM Memory with Dynatrace00:3:37
Memory Issues? Here’s What to Do!00:09:20
OutOfMemory Errors? No Worries!00:25:10
Disk and Network Performance Analysis
Easily Track and Fix Disk Problems with Dynatrace00:3:49
Monitor and Improve Network Performance00:3:11
Mastering Response Time Troubleshooting with Dynatrace
Uncover the Hidden Patterns Behind Response Time Slowness00:9:55
Analyze response Time Issues with Serviceflow00:5:31
End-to-End Response Time Analysis: From Cause to Fix00:3:57
Find and Fix Low-Hanging Fruits for Faster Response Times00:3:8
Tackling Response Time Issues in Complex Architectures00:10:31
Mastering Database Performance Troubleshooting
Common Database Performance Problems00:1:29
Backtrack Slow SQL Queries to Pinpoint Application Requests00:5:5
Essential Database Metrics for Effective Monitoring00:2:36
Deep Dive into Database Monitoring with Extensions00:6:11
Database Connection Pooling – Issue00:3:08
Production Database Connection Pool issue – Quick RCA00:11:50Preview
Effortless Kubernetes Monitoring with Dynatrace
Solve Microservices Problems in Kubernetes with Ease00:17:41
Kubernetes Deep Monitoring – SaaS
Students will be able to select the right Kubernetes monitoring mode in Dynatrace and troubleshoot issues using full-stack observability.
Kubernetes Platform Monitoring Modes00:13:31
Limitations of Platform Monitoring Mode for Troubleshooting00:9:24
Application Observability + Platform Monitoring Mode00:4:27Preview
Full-Stack Monitoring for Complete Kubernetes Observability00:6:10
Automatic Tagging in Dynatrace
How Tagging Helps Organize Resources00:2:40
Applying Automatic Tagging to Align Resources for Quick Diagnostics00:7:55
Creating Powerful Dashboards for Application Monitoring
Creating Powerful Dashboards for Application Monitoring00:16:36
Styling Dashboards for a Professional Look00:6:53
Organize Dashboards with Tags for Better Clarity00:1:33
A Single Pane of Glass Dashboard for Multiple Customers00:4:54
Management Zones Made Simple
How to Create and Use Management Zones00:7:47
Setting Up Alert Profiles That Work for Your Organization
Set Up Alert Profiles for Precise Monitoring00:3:31
Fine-Tuning Alerts to Match Business Needs00:2:12
Reducing Alert Noise with Precise Settings00:3:19
Customize the Problem Notifications & Automatic remediation
Integration with Slack Channel – Alert Notification00:4:50Preview
Integration with Teams – Alert Notification00:8:45
Integration with Jenkins – Automatic Build Trigger00:8:16
Automatic Remediation Restarting the services- Jenkins and Ansible00:9:51
Mastering Anomaly Detection for Performance Monitoring
How Anomaly Detection Works: A Deep Dive Approach00:1:44
How to Overwrite Common Thresholds at the Host Level00:1:14
Create Key Business Metrics as Performance Anomalies00:3:1
Simplifying Synthetic and RUM Monitoring
Track User Activity End-to-End and Spot Performance Issues00:18:56
Synthetic Monitoring to Detect Performance Issues00:4:06
Taking Ownership with Dynatrace
Who’s in Charge? Managing Ownership in Dynatrace00:5:37
Mastering Site Reliability Engineering (SRE)
Why Site Reliability Engineering (SRE) Matters for Your Organization00:26:09
SLO, SLI, SLA: What They Are and Why You Need Them00:1:45
Set Up Service Level Objectives to Monitor Service Availability00:5:20
Measure User Experience with Service Level Objectives00:3:36
What’s New in Dynatrace?
The Latest in Dynatrace Infrastructure & Operations00:5:29
New Dashboards, New Possibilities!00:4:20
Harnessing the Power of Davis AI
Davis AI: Automatic Root Cause Analysis for Fast Troubleshooting00:6:32
Davis AI: Matching Signals with Explorative Analytics00:4:34Preview
Davis AI: Predict Future Problems with Predictive Analytics00:5:31
Davis AI: Unlock Seasonal Analytics for Trends and Patterns00:2:36
Davis AI: Adaptive Thresholds for Smarter Monitoring00:3:46
Grail Data Management in Dynatrace
How Data is Stored in the Grail Data Lake00:7:11
Bucket Management and Creating Custom Buckets00:9:11
Restricting User Access to Bucket-Level Data Using IAM Policies00:12:6
OpenPipeline – Data Processing & Enrichment
Understanding OpenPipeline00:6:10
Creating OpenPipeline for Log Ingestion00:5:49
Processing Rules to Parse and Enrich Logs00:12:28
Metrics Extraction from Logs in OpenPipeline00:6:49
Data Segmentation & Access Control in Dynatrace
Segments vs Management Zones – Key Differences00:17:22
Creating Effective Segmentation Rules00:7:12
Optimizing Operations with Dynatrace Integration and Automation
Incident Management : Integrating with Zendesk ITSM tool00:6:22
AIOPS Integrations -Dynatrace Workflow
AIOPS – Dynatrace Workflow Overview00:7:42
Integrate the Slack – Dynatrace Workflow00:3:42
Integrate the MSSteams – Dynatrace Workflow00:4:50
Integrate the JIRA – Dynatrace Workflow00:5:14
AIOPS UseCase – Zero Touch Operation00:6:42
AIOPS UseCase 2 – Single Touch Operations00:10:42Preview
AIOPS UseCase 2 – Single Touch Operations -Workflow00:16:39
Bonus : Real-Time Interview Questions
Real Time Interview Questions00:00