‘Top 5 Java Performance Problems!’ Webinar

In February, we held a webinar titled "Top 5 Java Performance Problems," led by architect Ram Lakshmanan. Key issues discussed included high CPU utilization, memory leaks, slow response times, thread contention, deadlocks, and garbage collection pauses. Attendees engaged in a Q&A session, and future webinars are planned for ongoing learning.

DevopsCon 2023 – TOP 5 PRODUCTION PERFORMANCE PROBLEMS

DevopsCon, held in Munich, featured a talk by our architect on “TOP 5 PRODUCTION PERFORMANCE PROBLEMS.” The session revealed common performance issues in production environments and offered insights on early detection and practical solutions to enhance operational performance and user experiences. Conference materials and photographs were shared.

ADDO 2023 – PREDICTING PRODUCTION OUTAGES: UNLEASHING THE POWER OF MICRO-METRICS

ADDO conference stands as one of the foremost online communities for DevOps professionals worldwide. This annual event offers a massive platform for learning and collaboration among experts in the field. In this ADDO conference 2023, our expert architect, Ram Lakshmanan, will bring to light a crucial issue—predicting production outages. He'll unveil the power of micro-metrics,... Continue Reading →

Java SpringBoot – Performance Analysis and Tuning

SpringBoot is a widely used framework for building Java-based web applications and maintains a significant presence in the world of enterprise software development. It powers large-scale microservices and standalone applications. Most SpringBoot applications have embedded web servers and follow a distributed architecture consisting of three main types of application components: Backend: API services Backend: Event... Continue Reading →

Why yCrash?

In the world of software engineering, where innovation meets precision, yCrash emerges as a toolkit designed to enhance Java performance monitoring and diagnostics. A DevOps engineer, would delve into this article as a guide that shares the practical advantages of what yCrash offers. It speaks about how yCrash empowers developers with a seamless interface for... Continue Reading →

Parallelism in ConcurrentHashMap

ConcurrentHashMap enhances multi-threaded applications by incorporating parallelism, introduced in Java 1.8. It allows tasks to be divided into subproblems solved concurrently, optimizing processes through the ForkJoinPool API. Parallelism can be controlled via a threshold, improving performance significantly with larger datasets while enabling efficient thread management.

Robotics App Pause time dramatically decreased!

Prabhakar Jonnalagadda, a performance architect at Oracle, addresses application performance issues characterized by crashes and degraded performance. He analyzes GC logs with GCeasy and adjusts JVM arguments to enhance performance. He emphasizes that tuning options are unique to each case and engineers must explore various approaches for optimal solutions.

Chaos Engineering – Deadlock

The article discusses deadlock in multi-threaded applications, defining it as a situation where processes are blocked, each waiting for a resource held by another. It provides an analogy using trains on a shared track that can't proceed due to overlapping resource needs. Sample Java code illustrates deadlock, while troubleshooting methods are described.

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