Glen Knight

NYC Based IT Professional

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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GraphQL Vulnerability Analysis: The Top Threats

Publicly available vulnerability data can be a goldmine for insights into how DevOps and DevSecOps teams can prioritize threats and improve security across the pipeline. With this in mind, Inigo recently performed a deep-dive analysis of known vulnerabilities affecting GraphQL components—including GraphQL clients such as Relay and GraphQL servers such as Apollo, Graphene, Ariadne, GitLab […]

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Key Findings From the 2022 State of GraphQL Report

GraphQL, the open source query language, has been steadily growing in popularity over the past few years. The language is excellent for frontend development, as it creates a usable interface to fetch precisely the data required for the specific client at hand. You can also use it to aggregate multiple backend services and data sources. […]

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GitLab Unfurls Dedicated SaaS Edition in the Cloud

GitLab today made available to a limited number of customers a single-tenant version of the software-as-a-service (SaaS) edition of its continuous integration/continuous delivery (CI/CD) platform. David DeSanto, vice president of product at GitLab, said the GitLab Dedicated option provides all the benefits of a cloud platform without running afoul of any potential compliance issues. Designed […]

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AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs

AWS Machine Learning University is now providing a free educator enablement program. This program provides faculty at community colleges, minority-serving institutions (MSIs), and historically Black colleges and universities (HBCUs) with the skills and resources to teach data analytics, artificial intelligence (AI), and machine learning (ML) concepts to build a diverse pipeline for in-demand jobs of […]

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New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Warehouse More Secure and Reliable

When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions. A common pattern with data-driven organizations is that they have many different data sources they need to ingest into their analytics systems. This requires them to build […]

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New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler

To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and requires a cross-team collaboration between machine learning engineers, data engineers, and data scientists to implement the data preparation pipeline into a production environment. The main objective of […]

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