Glen Knight

NYC Based IT Professional

AWS Local Zones Are Now Open in Boston, Miami, and Houston

AWS Local Zones place select AWS services (compute, storage, database, and so forth) close to large population, industry, and IT centers. They support use cases such as real-time gaming, hybrid migrations, and media & entertainment content creation that need single-digit millisecond latency for end-users in a specific geographic area. Last December I told you about […]

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Resolve IT Incidents Faster with Incident Manager, a New Capability of AWS Systems Manager

IT engineers pride themselves on the skill and care they put into building applications and infrastructure. However, as much as we all hate to admit it, there is no such thing as 100% uptime. Everything will fail at some point, often at the worst possible time, leading to many a ruined evening, birthday party, or […]

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New Amazon FinSpace Simplifies Data Management and Analytics for Financial Services

Managing data is the core of the Financial Services Industry (FSI). I worked for private banking and fund management companies and helped analysts to collect, aggregate, and analyze hundreds of petabytes of data from internal data sources, such as portfolio management, order management, and accounting systems, but also from external data sources, such as real-time […]

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Introducing CloudFront Functions – Run Your Code at the Edge with Low Latency at Any Scale

With Amazon CloudFront, you can securely deliver data, videos, applications, and APIs to your customers globally with low latency and high transfer speeds. To offer a customized experience and the lowest possible latency, many modern applications execute some form of logic at the edge. The use cases for applying logic at the edge can be […]

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Happy 10th Birthday – AWS Identity and Access Management

Amazon S3 turned 15 earlier this year, and Amazon EC2 will do the same in a couple of months. Today we are celebrating the tenth birthday of AWS Identity and Access Management (IAM). The First Decade Let’s take a walk through the last decade and revisit some of the most significant IAM launches: May 2011 […]

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Amazon Nimble Studio – Build a Creative Studio in the Cloud

Amazon Nimble Studio is a new service that creative studios can use to produce visual effects, animations, and interactive content entirely in the cloud with AWS, from the storyboard sketch to the final deliverable. Nimble Studio provides customers with on-demand access to virtual workstations, elastic file storage, and render farm capacity. It also provides built-in […]

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Get Started Using Amazon FSx File Gateway for Fast, Cached Access to File Server Data in the Cloud

As traditional workloads continue to migrate to the cloud, some customers have been unable to take advantage of cloud-native services to host data typically held on their on-premises file servers. For example, data commonly used for team and project file sharing, or with content management systems, has needed to reside on-premises due to issues of […]

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Decrease Your Machine Learning Costs with Instance Price Reductions and Savings Plans for Amazon SageMaker

Launched at AWS re:Invent 2017, Amazon SageMaker is a fully-managed service that has already helped tens of thousands of customers quickly build and deploy their machine learning (ML) workflows on AWS. To help them get the most ML bang for their buck, we’ve added a string of cost-optimization services and capabilities, such as Managed Spot […]

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Modern Apps Live – Learn Serverless, Containers and more During May

Modern Apps Live is a series of events about modern application development that will be live-streaming on Twitch in May. Session topics include serverless, containers, and mobile and front-end development. If you’re not familiar, modern applications are those that: Can scale quickly to millions of users. Have global availability. Manage a lot of data (we’re talking exabytes of […]

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AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries

Amazon Redshift already provides up to 3x better price-performance at any scale than any other cloud data warehouse. We do this by designing our own hardware and by using Machine Learning (ML). For example, we launched the SSD-based RA3 nodes for Amazon Redshift at the end of 2019 (Amazon Redshift Update – Next-Generation Compute Instances […]

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