Glen Knight

NYC Based IT Professional

SpyCloud Data Shows Corporate Users 3x More Likely to Be Targeted by Phishing Than by Malware

Austin, TX, USA, 4th December 2025, CyberNewsWire Source: DevOps.com

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Code Quality and Security Risks of AI-Generated Code 

AI-powered tools and coding assistants have become popular and widely used among software developers for several reasons. They promise to deliver not only speed and comfort but also a tool for filling knowledge gaps in engineering teams that are short on time and resources. You can leverage such tools to generate code that handles complex […]

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AWS Adds Specialized AI Agents to Kiro Coding Tool to Automate DevOps Tasks

Amazon Web Services (AWS) today at its re:Invent 2025 conference extended its Kiro artificial intelligence (AI) tool to provide access to a set of agents that have been trained to trigger specific actions as they observe the way code is being created. Adnan Ijaz, director of project management for Kiro at AWS, said these specialized […]

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Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models

Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force a choice between poor performance with smaller models or the high costs of deploying larger model variants and managing complex […]

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New serverless customization in Amazon SageMaker AI accelerates model fine-tuning

Today, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova, DeepSeek, GPT-OSS, Llama, and Qwen. The new customization capability provides an easy-to-use interface for the latest fine-tuning techniques like reinforcement learning, so you can accelerate the AI model customization process from months to days. With […]

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Introducing checkpointless and elastic training on Amazon SageMaker HyperPod

Today, we’re announcing two new AI model training features within Amazon SageMaker HyperPod: checkpointless training, an approach that mitigates the need for traditional checkpoint-based recovery by enabling peer-to-peer state recovery, and elastic training, enabling AI workloads to automatically scale based on resource availability. Checkpointless training – Checkpointless training eliminates disruptive checkpoint-restart cycles, maintaining forward training […]

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Enterprise IntelliScope: A Cloud-Native Cognitive Reliability Framework for AI-Driven Incident Management 

Discover how Enterprise IntelliScope unifies observability, AI reasoning and human-in-the-loop governance to deliver proactive incident management and reliability at scale. Source: DevOps.com

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Integrating Performance Testing into CI/CD: A Practical Framework

Learn how to integrate continuous performance testing into CI/CD using a tiered strategy that catches regressions early and improves speed, reliability and scalability. Source: DevOps.com

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Announcing replication support and Intelligent-Tiering for Amazon S3 Tables

Today, we’re announcing two new capabilities for Amazon S3 Tables: support for the new Intelligent-Tiering storage class that automatically optimizes costs based on access patterns, and replication support to automatically maintain consistent Apache Iceberg table replicas across AWS Regions and accounts without manual sync. Organizations working with tabular data face two common challenges. First, they […]

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Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables

Today, we’re announcing three new capabilities for Amazon S3 Storage Lens that give you deeper insights into your storage performance and usage patterns. With the addition of performance metrics, support for analyzing billions of prefixes, and direct export to Amazon S3 Tables, you have the tools you need to optimize application performance, reduce costs, and […]

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