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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. Ahem, Slow!

Java 214
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Handling Flaky Unit Tests in Java

Uber Engineering

Unit testing forms the bedrock of any Continuous Integration (CI) system. It warns software engineers of bugs in newly-implemented code and regressions in existing code, before it is merged. This ensures increased software reliability.

Java 105
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Context-rich tickets can be created in systems like Jira or ServiceNow for traceability and compliance.

DevOps 294
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Handling flaky unit tests in Java

Uber Engineering

Unit testing forms the bedrock of any Continuous Integration (CI) system. It warns software engineers of bugs in newly-implemented code and regressions in existing code, before it is merged. This ensures increased software reliability.

Java 52
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Protect your organization against zero-day vulnerabilities

Dynatrace

Malicious attackers have gotten increasingly better at identifying vulnerabilities and launching zero-day attacks to exploit these weak points in IT systems. A zero-day exploit is a technique an attacker uses to take advantage of an organization’s vulnerability and gain access to its systems.

Java 197
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 208