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Category: spring

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Part 3: Distributed Tracing in Spring Boot with OpenTelemetry and Jaeger

  • Rahul Mittal
  • October 16, 2026
  • 10 min read

In Part 1, we added metrics with Spring Boot Actuator, Prometheus, and Grafana. In Part 2, we centralized structured application logs using Filebeat, Logstash, Elasticsearch, and Kibana. In this final…

  • Logs
  • Observability
  • spring

Part 2: Centralized Logging in Spring Boot with ELK Stack — Filebeat, Logstash, Elasticsearch, and Kibana

  • Rahul Mittal
  • October 16, 2026
  • 9 min read

In the first part of this workshop, we added metrics to our Employee Management API using Spring Boot Actuator, Micrometer, Prometheus, and Grafana. Metrics answer questions such as: How many…

  • Metrics
  • Observability
  • spring

Spring Boot Observability Workshop: Metrics, Logs, and Traces with Actuator, Prometheus, Grafana, ELK, and Jaeger

  • Rahul Mittal
  • October 16, 2026
  • 10 min read

Production applications should not be treated as black boxes. When an API slows down, fails, or consumes too much memory, teams need answers quickly: Is the application healthy? Which API…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

This is the article where everything you’ve learned over the last few parts comes together.

  • Rahul Mittal
  • July 4, 2026
  • 7 min read

Notice the progression of Java's evolution: Java 12 → Switch Expressions Java 14 → Records Java 16 → Pattern Matching for instanceof Java 17 → Sealed Classes Java 21 →…

  • java
  • JavaEvolutionSeries
  • microservices
  • programming
  • spring

Part 35: Java 17 (LTS) – Sealed Classes – Designing Safer Domain Models for Enterprise Applications

  • Rahul Mittal
  • July 4, 2026
  • 5 min read

Introduction Object-Oriented Programming is built around inheritance. For decades, Java allowed any class to extend another class unless it was declared final. This gave developers only two choices: Open for…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

Part 18: UUID Best Practices – Java, Oracle, Hibernate, Microservices & Performance

  • Rahul Mittal
  • July 4, 2026
  • 6 min read

Introduction Every enterprise application needs a way to uniquely identify its data. For many years, relational databases relied on auto-generated numeric identifiers: 1 2 3 4 5 These identifiers work…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

Part 17: Spring Boot, Hibernate, Jackson & REST – End-to-End Date & Time Handling in Enterprise Applications

  • Rahul Mittal
  • July 4, 2026
  • 6 min read

Introduction So far in this series, we've learned: Why Java introduced the new Date & Time API. How every java.time class works. Which Java type should be used for different…

  • java
  • JavaEvolutionSeries
  • programming
  • spring

Part 16: Oracle ↔ Java ↔ JPA/Hibernate Mapping Guide – Choosing the Right Data Type for Enterprise Applications

  • Rahul Mittal
  • July 4, 2026
  • 6 min read

Introduction Every enterprise application stores dates and timestamps. Whether you're building a banking platform, payment gateway, insurance application, e-commerce website, healthcare system, or event management platform, almost every table contains…

  • general
  • java
  • programming
  • spring

Why Refreshing L1 Cache Using a Scheduler is a Bad Idea

  • Rahul Mittal
  • June 23, 2026
  • 5 min read

Building Scalable and Consistent Microservices Caching Architectures Caching is one of the most effective techniques for improving application performance. Modern microservices often implement a multi-level cache architecture: L1 Cache: In-memory…

JVM, Memory Management & Exception Handling
  • interview
  • java
  • programming
  • spring

JVM, Memory Management & Exception Handling

  • Rahul Mittal
  • June 19, 2026
  • 8 min read

MCQs Q1. Which JVM memory area stores objects? A. Stack B. Heap C. Method Area D. Program Counter Q2. What is Garbage Collection? A. Memory Allocation B. Memory Cleanup of…

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Recent Posts

  • Part 3: Distributed Tracing in Spring Boot with OpenTelemetry and Jaeger
  • Part 2: Centralized Logging in Spring Boot with ELK Stack — Filebeat, Logstash, Elasticsearch, and Kibana
  • Spring Boot Observability Workshop: Metrics, Logs, and Traces with Actuator, Prometheus, Grafana, ELK, and Jaeger
  • Protected: Advanced Java Interview Questions – 20 MCQs with Answers and Explanations
  • Codex, MCP, and Spring AI: Building Tool-Enabled Java Applications with the Latest OpenAI Models

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