At re:Invent this year, AWS announced its new digital twin service, AWS IoT TwinMaker (in preview), which allows users to create digital twins of real-world systems like buildings, factories, industrial equipment, and production lines. Using a digital twin to monitor and improve operations for a physical system requires ingesting data from IoT sensors, process instruments, cameras, and enterprise systems, and curating and associating data from these disparate sources.

Did you get all the serverless updates from AWS pre- & re:Invent 2021?️ If you’re a serverless enthusiast we’ve collected the most important serverless updates from re:Invent 2021 you need to know about.

Identifying the best payment plan for cloud services can be a challenge. For one thing, no two businesses are exactly alike. Since each organization faces a unique set of circumstances, it is tough to choose the best option from all the different cloud cost models without taking an in-depth look at business-specific aspects such as demand, spending preferences, and projected revenue over the next few years. On top of that, the payment plans themselves are very often confusing.

Building serverless applications on the “edge” is becoming a reality. The promise of fast execution and seamless deployment is near, but is it here? The goal: Use an edge platform to build a proof of concept clone of linkz.ai, a tooltip generator for external links (among other things).

On Nov. 8, I started as the new Chief Information and Security Officer at Grafana Labs. In my first five weeks, I’ve met about 100 really amazing people; learned and absorbed early lessons about our workplace culture; kicked off working groups for our 2022 initiatives (bug bounty FTW); and contributed to tackling our first-ever 0day. Amid all of that, I’ve also been doing a lot of thinking.

In collaboration with the AWS team, we have recently released the new Redshift data source plugin for Grafana. Amazon Redshift is the fastest and most widely used cloud data warehouse. It uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes by using AWS-designed hardware and machine learning.

If IT Financial Management (ITFM) was as simple as widely presumed, we’d be seeing IT expenditure dropping globally with the continued adoption of cloud services. For example, in 2020 it was expected that 83% of enterprise workloads would move to the cloud. That move happened but the results didn’t come with the extensive cost reduction benefits that businesses envisioned. Organizations are actually spending more despite the workload migration.

Cloud computing service models come in three broad categories: This article outlines the key differences, examples, advantages and disadvantages for each cloud computing service model so you can choose the best option for your application’s needs.