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Buy this course β $299.00Hands-on System Design: Distributed Log Processing with Java & Spring Boot
π Intermediate
π 254 Lessons
π¨βπ« Course Instructor
Why This Course?
Comprehensive course covering essential topics in system design and architecture.
What You'll Learn
Real-world projects and applications that demonstrate practical skills.
Who Should Take This Course?
Software engineers, system architects, and technical professionals looking to enhance their skills.
What Makes This Course Different?
Hands-on approach with real-world scenarios and expert instruction.
Key Topics Covered
System design, architecture patterns, scalability, performance optimization.
Prerequisites
Basic programming knowledge and familiarity with software development concepts.
GitHub Repository
Explore the complete codebase and implementation:
View on GitHubLevel
Intermediate
Lessons
254
in 9 modules
MODULE 1
Foundations of Log Processing
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Setting Up the Infrastructure
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Network-Based Log Collection
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Data Serialization and Formats
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Distributed Log Storage
MODULE 2
Scalable Log Processing
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Message Queues for Log Processing
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Stream Processing with Kafka
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Distributed Log Analytics
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Distributed Log Search
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High Availability and Fault Tolerance
MODULE 3
Advanced Log Processing Features
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High Availability and Fault Tolerance
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Security and Compliance
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Performance Optimization
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Advanced Analytics
MODULE 4
Building a Complete Distributed Log Platform
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API and Service Layer
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Web Interface and Dashboards
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Advanced Operational Features
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Multi-tenancy and Enterprise Features
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Storage and Retention Management
MODULE 5
Integration and Ecosystem
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Log Source Integration
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Application Integration
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External System Integration
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Advanced Processing Integrations
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Deployment and Operations
MODULE 6
Specialized Log Processing Use Cases
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Deployment and Operations
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Security Log Processing
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IT Operations Use Cases
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Business Analytics Use Cases
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IoT and Edge Log Processing
MODULE 7
Advanced Distributed Systems Concepts
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Consensus and Coordination
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Advanced Consistency Models
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Advanced Fault Tolerance
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Advanced Scalability Patterns
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Real-time Processing Optimizations
MODULE 8
System Observability and Testing
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Real-time Processing Optimizations
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Advanced Monitoring
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Testing and Verification
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Performance Analysis
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Debugging and Diagnostics
MODULE 9
Advanced Performance and Optimization
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Memory and CPU Optimization
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Storage Optimization
π¨βπ«
Course Instructor
Senior AI Engineer & Educator
With 10+ years in AI/ML, teaching thousands worldwide.
β 4.9π₯ 50Kπ 15 Courses
Prerequisites
Basic programming knowledge and familiarity with software development concepts.
What's Included
π
254 Video Lessons
Comprehensive course content
π»
Hands-On Projects
Build real-world applications
π
Downloadable Resources
Code examples & materials
π
Certificate
Upon successful completion
βΎοΈ
Lifetime Access
Learn at your own pace
π±
Mobile & Desktop
Access on any device
Course Stats
12,567
Students Enrolled
4.8
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Average Rating
1,234
Reviews
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