Logging Tool – ELK – KnowPowerSolutions

Course Content

Section 1: Introduction to Logging and ELK
1.1 Understanding the importance of logging 1.2 Introduction to ELK stack 1.3 Overview of Elasticsearch, Logstash, and Kibana 1.4 Setting up the development environment

Understanding the importance of logging
00:00
Introduction to ELK stack
00:00
Overview of Elasticsearch, Logstash, and Kibana
00:00
Setting up the development environment
00:00

Section 2: Elasticsearch Fundamentals
2.1 Understanding Elasticsearch architecture 2.2 Indexing data in Elasticsearch 2.3 Searching and querying in Elasticsearch 2.4 Managing and scaling Elasticsearch clusters

Section 3: Logstash Essentials
3.1 Introduction to Logstash 3.2 Configuring Logstash pipelines 3.3 Parsing and enriching logs with filters 3.4 Handling errors and retries in Logstash pipelines

Section 4: Kibana Visualization and Dashboarding
4.1 Introduction to Kibana 4.2 Creating visualizations: Charts, graphs, and maps 4.3 Building interactive dashboards 4.4 Advanced Kibana features: Canvas, Timelion, etc.

Section 5: Advanced ELK Use Cases
5.1 Log aggregation and centralized logging 5.2 Monitoring and alerting with ELK 5.3 Security and access control in ELK stack 5.4 Integrating ELK with other tools and systems

Section 6: Performance Tuning and Optimization
6.1 Monitoring and optimizing Elasticsearch performance 6.2 Best practices for Logstash pipeline optimization 6.3 Kibana performance tuning tips 6.4 Scaling ELK stack for high availability and resilience

Section 7: Real-world Projects and Case Studies
7.1 Building a centralized logging solution for a microservices architecture 7.2 Analyzing security logs for threat detection 7.3 Monitoring application performance with ELK stack 7.4 Case studies and use cases from industry deployments

Section 8: Troubleshooting and Best Practices
8.1 Common issues and troubleshooting techniques 8.2 Tips for maintaining and upgrading ELK stack 8.3 Best practices for managing logs and indices 8.4 Future trends and advancements in ELK ecosystem

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Course Content

Section 1: Introduction to Logging and ELK 1.1 Understanding the importance of logging 1.2 Introduction to ELK stack 1.3 Overview of Elasticsearch, Logstash, and Kibana 1.4 Setting up the development environment

Understanding the importance of logging

Introduction to ELK stack

Overview of Elasticsearch, Logstash, and Kibana

Setting up the development environment

Section 2: Elasticsearch Fundamentals 2.1 Understanding Elasticsearch architecture 2.2 Indexing data in Elasticsearch 2.3 Searching and querying in Elasticsearch 2.4 Managing and scaling Elasticsearch clusters

Understanding Elasticsearch architecture

Indexing data in Elasticsearch

Searching and querying in Elasticsearch

Managing and scaling Elasticsearch clusters

Section 3: Logstash Essentials 3.1 Introduction to Logstash 3.2 Configuring Logstash pipelines 3.3 Parsing and enriching logs with filters 3.4 Handling errors and retries in Logstash pipelines

Introduction to Logstash

Configuring Logstash pipelines

Parsing and enriching logs with filters

Handling errors and retries in Logstash pipelines

Section 4: Kibana Visualization and Dashboarding 4.1 Introduction to Kibana 4.2 Creating visualizations: Charts, graphs, and maps 4.3 Building interactive dashboards 4.4 Advanced Kibana features: Canvas, Timelion, etc.

Introduction to Kibana

Creating visualizations: Charts, graphs, and maps

Building interactive dashboards

Advanced Kibana features: Canvas, Timelion, etc.

Section 5: Advanced ELK Use Cases 5.1 Log aggregation and centralized logging 5.2 Monitoring and alerting with ELK 5.3 Security and access control in ELK stack 5.4 Integrating ELK with other tools and systems

Log aggregation and centralized logging

Monitoring and alerting with ELK

Security and access control in ELK stack

Integrating ELK with other tools and systems

Section 6: Performance Tuning and Optimization 6.1 Monitoring and optimizing Elasticsearch performance 6.2 Best practices for Logstash pipeline optimization 6.3 Kibana performance tuning tips 6.4 Scaling ELK stack for high availability and resilience

Monitoring and optimizing Elasticsearch performance

Best practices for Logstash pipeline optimization

Kibana performance tuning tips

Scaling ELK stack for high availability and resilience

Section 7: Real-world Projects and Case Studies 7.1 Building a centralized logging solution for a microservices architecture 7.2 Analyzing security logs for threat detection 7.3 Monitoring application performance with ELK stack 7.4 Case studies and use cases from industry deployments

Building a centralized logging solution for a microservices architecture

Analyzing security logs for threat detection

Monitoring application performance with ELK stack

Case studies and use cases from industry deployments

Section 8: Troubleshooting and Best Practices 8.1 Common issues and troubleshooting techniques 8.2 Tips for maintaining and upgrading ELK stack 8.3 Best practices for managing logs and indices 8.4 Future trends and advancements in ELK ecosystem

Common issues and troubleshooting techniques

Tips for maintaining and upgrading ELK stack

Best practices for managing logs and indices

Future trends and advancements in ELK ecosystem

Student Ratings & Reviews

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Section 1: Introduction to Logging and ELK
1.1 Understanding the importance of logging 1.2 Introduction to ELK stack 1.3 Overview of Elasticsearch, Logstash, and Kibana 1.4 Setting up the development environment

Section 2: Elasticsearch Fundamentals
2.1 Understanding Elasticsearch architecture 2.2 Indexing data in Elasticsearch 2.3 Searching and querying in Elasticsearch 2.4 Managing and scaling Elasticsearch clusters

Section 3: Logstash Essentials
3.1 Introduction to Logstash 3.2 Configuring Logstash pipelines 3.3 Parsing and enriching logs with filters 3.4 Handling errors and retries in Logstash pipelines

Section 4: Kibana Visualization and Dashboarding
4.1 Introduction to Kibana 4.2 Creating visualizations: Charts, graphs, and maps 4.3 Building interactive dashboards 4.4 Advanced Kibana features: Canvas, Timelion, etc.

Section 5: Advanced ELK Use Cases
5.1 Log aggregation and centralized logging 5.2 Monitoring and alerting with ELK 5.3 Security and access control in ELK stack 5.4 Integrating ELK with other tools and systems

Section 6: Performance Tuning and Optimization
6.1 Monitoring and optimizing Elasticsearch performance 6.2 Best practices for Logstash pipeline optimization 6.3 Kibana performance tuning tips 6.4 Scaling ELK stack for high availability and resilience

Section 7: Real-world Projects and Case Studies
7.1 Building a centralized logging solution for a microservices architecture 7.2 Analyzing security logs for threat detection 7.3 Monitoring application performance with ELK stack 7.4 Case studies and use cases from industry deployments

Section 8: Troubleshooting and Best Practices
8.1 Common issues and troubleshooting techniques 8.2 Tips for maintaining and upgrading ELK stack 8.3 Best practices for managing logs and indices 8.4 Future trends and advancements in ELK ecosystem