Remove Availability Remove Development Remove Java
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Monitor Spring Boot Web Application Performance Using Micrometer and InfluxDB

DZone

As a Java developer, there's nothing more frustrating than dealing with sluggish application performance in production. For your reference, the complete working example is available on GitHub. Diagnosing issues within complex microservice architectures can quickly become a time-consuming and daunting task.

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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. One, by researching on the Internet; Two, by developing small programs and benchmarking. JAVA SOLUTION (Will Be Uploaded Later). Ahem, Slow!

Java 214
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Automatic and intelligent end-to-end observability for OpenTelemetry Java

Dynatrace

Oftentimes, this involves the integration of OpenTelemetry data that’s used during development into production workflows. Today, Dynatrace is happy to announce OneAgent support for discovering and automatically capturing OpenTelemetry trace data for Java. Dynatrace and OpenTelemetry work better together.

Java 236
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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings.

Java 257
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What is Spring4Shell? Detect and mitigate new zero-day vulnerabilities in the Java Spring Framework

Dynatrace

CVE recently published three new critical vulnerabilities in the Java Spring Framework, including one called Spring4Shell. Many applications are potentially affected, as Spring dominates the Java ecosystem , with 60% of developers using it in their main Java applications. This article was co-authored with Robin Wyss.

Java 246
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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

Solution : Use optimized methods to access / query for specific data, e.g.: getNodeByType resulted in 98% reduction of CPU usage, better performance, returned high availability and reduced operational costs. The development team now understands that XPath operations on large objects are very expensive both on memory and CPU.

Java 246