A Comprehensive DevSecOps Guide: Key Considerations to Effectively Secure Your CI/CD Pipeline
DZone
by Louis-Guillaume Morand
1h ago
Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. The era of digital transformation has brought about the need for faster, efficient, and more secure software development processes. Enter DevSecOps: a philosophy that integrates security practices into DevOps processes and aims to embed security into every stage of the development lifecycle — from the writing of code to application deployment in production. The incorporation of DevSecOps can lead to numerous benefits ..read more
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Exploring Python Tools for Generative AI
DZone
by Apurva Kumar
17h ago
Generative AI has become a powerful tool for creating new and innovative content, from captivating poems to photorealistic images. But where do you begin when you start learning in this exciting area? Python, with its robust libraries and active community, stands as a perfect starting point. This article delves into some of the most popular Python tools for generative AI, equipping you with the knowledge and code examples to kickstart your creative journey. 1. Text Generation With Transformers The Transformers library, built on top of PyTorch, offers a convenient way to interact with pre-trai ..read more
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Spring RestTemplate to WebClient Causes OutOfMemoryError
DZone
by Ram Lakshmanan
18h ago
Spring Boot is a highly popular framework for Java enterprise applications. One common method of integration with internal or external applications is through HTTP REST connections. We were upgrading from RestTemplate to the Java NIO-based WebClient, which can significantly enhance application performance by allowing concurrency when calling REST service endpoints. The benefits of WebClients are as follows: Concurrency: WebClient enables handling multiple connections simultaneously without blocking threads, leading to better concurrency. Asynchronous: Asynchronous programming allows the appli ..read more
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Extractive Summarization With LLM Using BERT
DZone
by Kevin Vu
19h ago
In today's fast-paced world, we're bombarded with more information than we can handle. We’re increasingly getting used to receiving more information in less time, leading to frustration when having to read extensive documents or books. That's where extractive summarization steps in. To get to the heart of a text, the process pulls out key sentences from an article, piece, or page to give us a snapshot of its most important points.  For anyone needing to understand big documents without reading every word, this is a game changer ..read more
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Maximizing Feedback for Developers With Continuous Testing
DZone
by Mike Harris
20h ago
Developers need feedback on their work so that they know whether their code is helping the business. They should have “multiple feedback loops to ensure that high-quality software gets delivered to users”[1]. Development teams also need to review their feedback loops so that they can maximize useful feedback.  Testing provides feedback and should be continuous so that it provides quick and continuous feedback to the developers. Testing must always be happening as part of the development process. There are many different types of testing ..read more
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Software Engineering Trends in the Industry
DZone
by Stelios Manioudakis
21h ago
This article identifies some basic trends in the software industry. Specifically, we will explore how some well-known organizations implement and benefit from early and continuous testing, faster software delivery, reduced costs, and increased collaboration. While it is clear that activities like breaking down silos, shift-left testing, automation, and continuous delivery are interrelated, it is beneficial to take a look at how companies strive to achieve such goals in practice. Companies try to break down the traditional silos that separate development, operations, and testing teams. This eli ..read more
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Evaluating LLMs: Beyond Traditional Software Testing
DZone
by Ramakrishnan Neelakandan
22h ago
Large Language Models (LLMs) have revolutionized how we interact with computers, enabling text generation, translation, and more. However, evaluating these complex systems requires a fundamentally different approach than traditional software testing. Here's why: LLM's Black Box Nature Traditional software is based on deterministic logic with predictable outputs for given inputs. LLMs, on the other hand, are vast neural networks trained on massive text datasets. Their internal workings are incredibly complex, making it difficult to pinpoint the exact reasoning for any specific output. This "bla ..read more
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The Rise of the Platform Engineer: How to Deal With the Increasing Complexity of Software
DZone
by Mirco Hering
1d ago
Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. DevOps — ✓ DevSecOps — ✓ Platform engineering ..read more
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The Art and Science of Software Testing
DZone
by Samir Hazra
1d ago
In the realm of software development, where innovation and progress unfold at an unprecedented pace, the significance of software testing cannot be overstated. It stands as the bastion against defects, bugs, and glitches that could potentially compromise the integrity, functionality, and security of digital products. Software testing is not merely a procedural step in the development lifecycle; it is a meticulous craft that demands equal parts of skill, strategy, and foresight. The Imperative of Quality Assurance In today's hyperconnected world, software pervades every facet of our lives. From ..read more
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AI Advancement for API and Microservices
DZone
by Nilesh Charankar
1d ago
Recent AI advancements in API technology involve enhancing natural language processing capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration across diverse sectors like healthcare, finance, and e-commerce to create more intelligent, adaptable, and tailored API solutions. Key Trends and Advancements AutoML for APIs AutoML (Automated Machine Learning) tools are increasingly being used to automate the development of machine learning models that can be exposed through APIs. This streamlines the process of building AI-powered APIs by reduci ..read more
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