Recent Articles on the tecRacer AWS Blog

Deploying the Serverless Framework to AWS from Azure DevOps

Introduction Recently I worked on a project with the Serverless Framework which I really like. I used it do define a serverless application for a customer that runs their workloads mostly on AWS but uses Azure DevOps to build and deploy resources. This came about because they were already building lots of .Net applications and are therefore used to VSTS, the former name of Azure DevOps. After recovering from the initial shock of having to use an Azure tool to deploy resources to AWS I gave it a chance (well, I didn’t really have a choice in the matter).

The serverless kingslayer? - Migration from serverless to CDK

The serverless kingslayer? - Migration from serverless to CDK Last day I have been at a customer and suggested using the CDK for Infrastructure as code. He responded with a huge yes. He has worked his way through the CDK Intro Workshop aws-cdk-examples/typescript at master · aws-samples/aws-cdk-examples · GitHub and wanted to use it. Then we discussed a lambda function. The customer was using the serverless framework - like most of the people.

Managed Services der nächsten Generation

Was ist sind Managed Services der nächsten Generation? Die Cloud-Technologie verändert die traditionellen IT-Modelle auf verschiedene Weise - von der IT-Infrastruktur bis zur Entwicklungsmethode - und hat sogar Auswirkungen auf die Unternehmenskultur. Die Einführung von Cloud-Technologie führt somit auch zu einer neuen Art von IT-Serviceanforderungen, diese werden als Managed Services der nächsten Generation bezeichnet. Traditionelle Managed Services konzentrieren sich normalerweise auf: Patch Management Change Management Incident Management Business Continuity Security Access Management…etc .

Sound of Silence - Lift your heavy Workloads to AWS Batch with Docker

Statistical Computing on Your Local Workstation Recently, a costumer told me about his problems to fullfil stastistical computing workloads on his local workstations. At first, you need to know that statistcal computing language like R and Python by default only use one core of your multi core machine. To parallize them, you have a lot of opportunities with regard to CPU-usage, IOPS etc.. Second, even if you parallize your workloads, you got an annoying loud machine in your office.

Automating Athena Queries with Python

Automating Athena Queries with Python Introduction Over the last few weeks I’ve been using Amazon Athena quite heavily. For those of you who haven’t encountered it, Athena basically lets you query data stored in various formats on S3 using SQL (under the hood it’s a managed Presto/Hive Cluster). Pricing for Athena is pretty nice as well, you pay only for the amount of data you process and that’s relatively cheap at $5 per TB when you consider the effort to set up EMR Clusters for one-time or very infrequent queries and transformations.

Chef Interactive

As you probably are aware, Chef is a tool which is meant for automatic provisioning and configuring of systems. So if you have a particular problem falling outside of the regular use cases, both posts on the internet and support enquiries of any kind will probably result in one of two answers: “that is not possible” or “you are doing it wrong”. But - what if you really need this for a rather exotic task or even as an transitory solution?

tRick: simple network 2 - Geschwindigkeit

Vergleich Infrastructure as Code (IaC) Frameworks - tRick Alle Posts Abstraktion und Lines of Code Geschwindigkeit Diversity (polyglott), Tooling, Fazit Benchmark Ausführungsgeschindigkeit Ausführungsgeschwindigkeit Direkt aus dem tRick Repository wird mehrfach (n=10) der Zyklus Build -> Check -> Deploy -> Remove ausgeführt. Damit sollen Cache Effekte statistisch gemittelt werden. Dazu nehme ich das Tool hyperfine zur Hilfe. Es führt Kommandos automatisch mehrfach aus und mittelt die Ergebnisse. Meine Annahme ist es, dass Terraform vorne liegt, da das Programm selber statisch kompiliert in go geschrieben ist. Außerdem geht die Ausführung direkt auf die API.