What is the maximum network throughput of your EC2 instance? The answer to this question is key to choosing the type of an instance or defining monitoring alerts on network throughput. Unfortunately, you will only find very vague information about the networking capabilities of EC2 instances within AWS’s service description and documentation. That is why I run a network performance benchmark for almost all EC2 instance types within the last few days. The results are compiled into the following cheat sheet.
You may have heard of Amazon Aurora, a custom built MySQL and PostgreSQL compatible database born and built in the cloud. You may have also heard of serverless, which allows you to build and run applications and services without thinking about instances. These are two pieces of the growing AWS technology story that we’re really excited to be working on. Last year, at AWS re:Invent we announced a preview of a new capability for Aurora called Aurora Serverless. Today, I’m pleased to announce that Aurora Serverless for Aurora MySQL is generally available. Aurora Serverless is on-demand, auto-scaling, serverless Aurora. You don’t have to think about instances or scaling and you pay only for what you use.
This paradigm is great for applications with unpredictable load or infrequent demand. In production, you can save on costs by adjusting to scale based on actual load, in extremely granular increments – matching your demand curve almost perfectly. In development, you can save on costs by automatically pausing the cluster (scale to zero!) when it’s not in use. I’m excited to show you how this all works so let’s look at how we launch a Serverless Aurora cluster.
This app ranks the popularity of dozens of programming languages. You can filter them by excluding sectors that aren’t relevant to you, such as “Web” or “Embedded.” (Which sectors a language can be found listed in is based on typical use patterns we’ve seen in the wild.) Rankings are created by weighting and combining 11 metrics from 9 sources. We have one less source this year, as the Dice job site shut down its API. However, the Dice metric is still available for previous years’ data. (Read more about our method and sources).
The default set of weights produces our IEEE Spectrum ranking—but there are preset weights for those more interested in what’s trending or most looked for by employers. Don’t like the presets? Create your own ranking by adjusting the weights yourself. To compare with a previous year’s data, click “Add a Comparison” and then click “Edit Ranking,” which will give you the option to compare with data from 2014 to 2017.
This app was originally developed in collaboration with IEEE Spectrum by data journalist Nick Diakopoulous.