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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. They still will win for mission-critical or real-time systems, which need performance over these parameters. JAVA SOLUTION (Will Be Uploaded Later).

Java 214
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How To Implement Specific Distributed System Patterns Using Spring Boot: Introduction

DZone

Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals. Spring Boot Overview One of the most popular Java EE frameworks for creating apps is Spring.

Systems 255
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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Business, finance, and administrative applications written in the common business-oriented language (COBOL) have run tirelessly on IBM Z systems since the early 1960s. COBOL applications must be processed on expensive general processors, while Java applications are eligible to run on IBM Z specialty processors such as zIIPs.

Java 257
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Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. Effective management of failover and switchover operations is crucial for high availability.

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Managing High Availability in PostgreSQL – Part III: Patroni

Scalegrid

In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Patroni for PostgreSQL.

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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

The system saw up to 800 application requests per second – far more than anticipated. More worrisome was a spike in CPU usage, resulting in severe service disruption as backend processing systems crashed due to the spike in load. Therefore, it was unsurprising to see a huge spike in traffic for Family Visa enrollment via Metrash.

Java 246
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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

Analytics 246