Glen Knight

NYC Based IT Professional

Why SaaS Vendors Need to Give Back to Open Source

There aren’t many tech organizations that don’t leverage open source technology. Companies that refuse to import software will rely on a freely available library tool or codebase. Open source is one of the largest and most powerful mechanisms of software propagation. However, open source is in danger. The Two Sides of Open Source Development In […]

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Securing Open Source Components in a World of Mixed Committer Motivations

Our world runs on software that contains open source components. This places an increased burden on developers, as the primary consumers and deployers of those components, to use code that is fully up-to-date and secure. The vast majority of open source committers with write access to project repositories remain focused on maintaining and making positive […]

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AWS Previews Amazon CodeCatalyst to Automatically Create Dev Environments

Amazon Web Services (AWS) this week launched a preview release of the Amazon CodeCatalyst framework that leverages blueprints to automatically provision and configure developer environments in its cloud. Announced at the AWS re:Invent 2022 conference, Amazon CodeCatalyst takes advantage of a Project Blueprints tool to launch a source code repository and a project management tracker […]

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AWS re:Invent — Top 4 Things We Learned This Week

In this week’s The Long View: SnapStart Turbocharges Lambda, Graviton3E ARM HPC SoC, AWS continues hiring, and AWS’s Origin Story. The post AWS re:Invent — Top 4 Things We Learned This Week appeared first on DevOps.com. Source: DevOps.com

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New – Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP

Today we are announcing a new Amazon Comprehend feature for intelligent document processing (IDP). This feature allows you to classify and extract entities from PDF documents, Microsoft Word files, and images directly from Amazon Comprehend without you needing to extract the text first. Many customers need to process documents that have a semi-structured format, like […]

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Introducing Amazon GameLift Anywhere – Run Your Game Servers on Your Own Infrastructure

In 2016, we launched Amazon GameLift, a dedicated hosting solution that securely deploys and automatically scales fleets of session-based multiplayer game servers to meet worldwide player demand. With Amazon GameLift, you can create and upload a game server build once, replicate, and then deploy across multiple AWS Regions and AWS Local Zones to reach your […]

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Announcing Amazon CodeCatalyst (preview), a Unified Software Development Service

Today, we announced the preview release of Amazon CodeCatalyst. A unified software development and delivery service, Amazon CodeCatalyst enables software development teams to quickly and easily plan, develop, collaborate on, build, and deliver applications on AWS, reducing friction throughout the development lifecycle. In my time as a developer the biggest excitement—besides shipping software to users—was […]

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Nobl9 Adds Free Tier to SaaS Platform for Managing SLOs

Nobl9 this week announced it is making available a perpetual free tier of its software-as-a-service (SaaS) platform for managing service level objectives (SLOs). The free tier was announced at the AWS re:Invent 2022 conference and the company also revamped its pricing. Nobl9 Teams Edition (formerly Nobl9 Hydrogen) now includes 50 SLOs, up from 25, for […]

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New — Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes

It is increasingly common to use multiple cloud services as building blocks to assemble a modern event-driven application. Using purpose-built services to accomplish a particular task ensures developers get the best capabilities for their use case. However, communication between services can be difficult if they use different technologies to communicate, meaning that you need to […]

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Step Functions Distributed Map – A Serverless Solution for Large-Scale Parallel Data Processing

I am excited to announce the availability of a distributed map for AWS Step Functions. This flow extends support for orchestrating large-scale parallel workloads such as the on-demand processing of semi-structured data. Step Function’s map state executes the same processing steps for multiple entries in a dataset. The existing map state is limited to 40 […]

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