#Germany's #cloudcomputing market is booming, with significant trends and challenges shaping its future. According to the "KPMG Cloud Monitor 2024," almost all companies (98%) are now in the cloud, with 55% relying on hybrid cloud models combining public and private cloud solutions. This shift is driven by the increasing integration of AI into cloud services, with 97% of cloud-using companies obtaining AI solutions from cloud providers.

Market Size: The German cloud computing market is projected to reach USD 56.52 billion in 2025, growing at a CAGR of 15.51% until 2030.

Challenges: Stringent data protection regulations, such as GDPR, pose significant challenges for cloud adoption.

#CloudEngineering #Germany #TechHive #StaffingSolutions #CloudComputing #AI #DataSovereignty #HybridCloud #MultiCloud #Ionos #GaiaX #GDPR #DataProtection #ITInfrastructure #DigitalTransformation #CloudSecurity #CloudTrends #CloudMarket #CloudProviders

https://kpmg.com/de/en/home/media/press-releases/2024/10/the-success-of-artificial-intelligence-also-reaches-the-cloud.html

https://www.mordorintelligence.com/industry-reports/germany-cloud-computing-market

What’s the biggest challenge in scaling software development?

Cloud and DevOps engineering is evolving rapidly. AI and automation are reshaping infrastructure management, while AGI looms on the horizon, promising even greater disruption. In the next decade, engineers will shift from manual operations to AI-driven governance, security automation, and multi-cloud strategies. How will professionals adapt to this new era?

https://www.linkedin.com/pulse/future-cloud-devops-engineering-10-years-ahead-victor-prilutskiy-g0y7f/

#JobAlert
We're hiring a Cloud Engineer / Bioinformatician at DKFZ in Heidelberg!

Are you ready to design cloud-based software, optimize bioinformatics workflows, and contribute to cutting-edge genomics research? Join GHGA and help shape the future of biomedical data infrastructures!

Apply here: https://jobs.dkfz.de/en/jobs/167252/cloud-engineer-bioinformatician
Deadline: 10.01.2025

DevOps Engineer with 15+ years of experience building and maintaining highly available systems at scale. Expertise spans cloud architecture, infrastructure automation (#Ansible), and containerization. Most recently focused on open source analysis, cloud automation, and media systems engineering, with prior experience at global CDNs. Open to remote opportunities to leverage experience in infrastructure optimization and automation. #OpenToWork #DevOps #CloudEngineering #RemoteWork #OpenSource

Before starting to use self-hosted GlitchTip observability platform few months back I did comparison between features in some available tools.

SigNoz having logging and APM tools in same package gave a headache during setup and got settled with GlitchTip. Healthchecks is also running alongside side, and possibly adding Grafana Loki for log ingest at some point.

NEW on We Open Source

Watch Carlos Santana from AWS share tips on finding unknowns in your cloud workloads and improving platform engineering practices.

https://allthingsopen.org/articles/platform-engineering-tips

I learned you can make a AWS lambda slightly faster by allocating more memory as it apparently allocates more CPU as well with it. That’s good to know as I learn #AWS more
#infosec #cybersecurity #CloudEngineering

Hey all in the tech sector, feel free to boost this: I'm prolific about noting things on linkedin, and sometimes twitter, but I'm actively hiring for Cloud Engineering type roles and Data Engineering type roles. There's also some other stuff that is niche based where I might not be able to hire, but can actively put you to work on a 1099 contract which may help short term. Let me know if I can help - drop me a line at stephen.sadowski@sjsadowski.com

If I can't find a spot for you with my company, I am working with some really great recruiters, and will be happy to introduce you.

Any recommendations for deploying Shiny apps and configuring other services
on DigitalOcean using 'infrastructure as code' approaches?
- Shell scripts
- cloud-init
- {analogsea} R package
- Docker containers
- Terraform

I'm comfortable with the first two but wondering if it's worth the trouble to get into the other options. {analogsea} seems great for core R infrastructure but not how universal it is for other things.

Guess I'll do a proper #introduction: I'm an IT guy with a love for #Unix / #Linux, both at home and work.
Fan of all things #opensource. I've spent many years on #realtime data, used to be a full-time linux admin. I've dabbled in #bigdata, and I'm currently doing things that are called #CloudEngineering on #aws.

In my free time, I'm learning the #piano, I sing in two #choirs (a small pop #choir and a big #chamberchoir). I also play the #bagpipe, and I've been known to manhandle a #trumpet.