Glen Knight

NYC Based IT Professional

AWS Lambda enhances event processing with provisioned mode for SQS event-source mapping

Today, we’re announcing the general availability of provisioned mode for AWS Lambda with Amazon Simple Queue Service (Amazon SQS) Event Source Mapping (ESM), a new feature that customers can use to optimize the throughput of their event-driven applications by configuring dedicated polling resources. Using this new capability, which provides 3x faster scaling, and 16x higher […]

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Survey Sees AI Coding Creating Need for More Software Engineers

A GitLab survey of 3,266 DevSecOps professionals shows AI is boosting code creation but increasing the need for skilled engineers, compliance challenges and human oversight. Source: DevOps.com

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How Hyperconnected AI Development Creates a Multi-System Secret Sprawl  

If you’ve been building artificial intelligence (AI) tools lately, you’ve probably noticed something: Your development workflow has become incredibly connected. Tools such as model context protocol (MCP) sit at the center of it all, acting as the ‘brain’ that orchestrates how your large language model (LLM)-powered projects talk to databases, cloud services, APIs, design tools and messaging platforms.  This hyperconnectivity makes rapid integration possible. We can now spin up […]

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GitOps in the Wild: Scaling Continuous Delivery in Hybrid Cloud Environments

A deep dive into scaling GitOps for hybrid and multi-cloud environments, exploring architecture, governance, security, observability and real-world enterprise practices. Source: DevOps.com

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Chronosphere Adds AI Remediation Guidance to Observability Platform

Chronosphere this week previewed artificial intelligence (AI) capabilities that are embedded into its observability platform that, in addition to helping identify the root cause of an issue, also provides remediation suggestions. Additionally, the company made available a Model Context Protocol (MCP) Server through which AI coding tools and agents will be able to query observability […]

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Introducing AWS IoT Core Device Location integration with Amazon Sidewalk

Today, I’m happy to announce a new capability to resolve location data for Amazon Sidewalk enabled devices with the AWS IoT Core Device Location service. This feature removes the requirement to install GPS modules in a Sidewalk device and also simplifies the developer experience of resolving location data. Devices powered by small coin cell batteries, […]

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ClickOps, IaC and the Excluded Avocado Middle

Let’s start with a confession: I think Infrastructure-as-Code solves a lot of problems. Terraform, OpenTofu, Pulumi, all of it. IaC changed how we work. It gave us version control, audit trails, repeatability, and a level of discipline that the old “log in and click around” era couldn’t touch. But somewhere along the way, we turned […]

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AI-Driven Performance Testing: A New Era for Software Quality 

Discover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation. Source: DevOps.com

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Why Traditional SLOs Are Failing at Hyperscale: Building Context-Aware Reliability Contracts 

Discover how context-aware reliability contracts (CARC) redefine SLOs for hyperscale systems—optimizing uptime, reducing infrastructure spend by 33%, and aligning reliability with business value across user tiers, regions, and workloads. Source: DevOps.com

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The Future of Observability: Predictive Root Cause Analysis Using AI 

In the past few years, systems have become more complex than ever. Microservices, Kubernetes, cloud environments and distributed application programming interfaces (APIs) have changed how we build and manage software. However, this complexity has also made it harder to find the root cause when things go wrong.  That’s where observability and artificial intelligence (AI) come together to change the game — helping us move from reactive monitoring to predictive root cause analysis (RCA).  […]

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