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#ITinfrastructure

2 posts2 participants0 posts today
Public
Dr. Leon Kums
🚀 Revolutionizing IT at Serious Business International with NetBSD, AI, and a Bit of Wit

At Serious Business International, we don’t just follow trends—we redefine them. When faced with rising infrastructure costs and increasing system complexity, I knew there had to be a better way.

🔹 The Challenge: Our Linux and Windows machines were demanding more resources, more maintenance, and more budget than they were worth.
🔹 The Solution: Armed with NetBSD, AI-driven optimizations, and (of course) vast wits, we overhauled our systems, leading to a 50% cost reduction while boosting performance and stability.
Why NetBSD?

💡 Lightweight & Efficient – Runs on everything, from legacy servers to cutting-edge AI workloads.
💡 Stable & Secure – Fewer headaches, more uptime.
💡 Cost-Effective – No unnecessary licensing, no bloated requirements.

By integrating AI-powered automation, we streamlined operations, optimized workloads, and future-proofed our infrastructure. The result? A leaner, smarter, and more cost-effective IT ecosystem that allows us to focus on innovation instead of IT bottlenecks.

If your business is stuck in an expensive IT loop, maybe it’s time to rethink the fundamentals. Let’s talk about how open-source, AI, and a little strategic brilliance can transform the way we work.

#NetBSD #AI #Innovation #ITInfrastructure #SeriousBusiness
#seriousbusiness
Public
Vic

#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

kpmg.com/de/en/home/media/pres

mordorintelligence.com/industr

Public
Vic

❇️ Unlocking #AI Potential with #Kubernetes & Key Benefits 🌐

Kubernetes is revolutionizing AI deployment with its scalable and efficient container orchestration capabilities.

Here are the key perks:
🔹Scalability: Automatically scales AI workloads to handle surges in demand, ensuring seamless performance.
🔹Efficient Resource Management: Optimizes CPU, GPU, and memory allocation based on workload needs, reducing costs.
🔹Multi-Tenancy: Allows multiple teams to share resources without interference, enhancing collaboration.
🔹High Availability: Ensures AI applications remain operational even during hardware failures, thanks to self-healing capabilities.
🔹Seamless Deployment: Enables consistent deployment across different environments, from on-premises to cloud.

klizos.com/kubernetes-ai-deplo

#Kubernetes #AI #MachineLearning #Scalability #Efficiency #MultiTenancy #HighAvailability #CloudNative #DevOps #CI/CD #ContainerOrchestration #ITInfrastructure #Innovation #TechTrends #CloudApplications #DataProcessing

Public
Vic

❇️#Kubernetes in action: real-world #AI deployment success stories 🌐
Kubernetes is transforming AI deployment across industries with its robust container orchestration capabilities.

Some use cases:
🔸Netflix: Uses Kubernetes to simplify and streamline deployments, ensuring resilience and scalability for its vast array of microservices.
🔸HSBC: Manages applications across private and public clouds with Kubernetes, optimizing resource costs and meeting regulatory requirements.
🔸Airbnb: Orchestrates resources for complex machine learning models, ensuring efficient processing of large datasets.
🔸YouTube: Utilizes Kubernetes for scalable video delivery, handling spikes in demand without disrupting service quality.

klizos.com/kubernetes-ai-deplo

#Kubernetes #AI #MachineLearning #Netflix #GitLab #HSBC #Airbnb #YouTube #CloudNative #DevOps #Scalability #HighAvailability #CI/CD #ContainerOrchestration #ITInfrastructure #Innovation #TechTrends #CloudApplications #DataProcessing #RealTimeAnalytics #Automation

Public
Vic

Kubernetes is revolutionizing how organizations manage complex applications, offering scalability, flexibility, and robustness.
Here are some more key use cases:
✅ Large-Scale Apps - Kubernetes helps manage large-scale apps during peak traffic, ensuring a smooth user experience.
✅ AI/ML with Kubernetes - NVIDIA uses Kubernetes to deploy AI models at scale, optimizing resource utilization.
✅ DevOps Efficiency - Spotify speeds up software delivery with Kubernetes, reducing time to market.
...

#Kubernetes #CloudNative #AI #MachineLearning #DevOps #Microservices #EdgeComputing #CloudNetworking #HybridCloud #Scalability #Flexibility #Reliability #CI/CD #ContainerOrchestration #ITInfrastructure #Innovation #TechTrends #CloudApplications #DataProcessing #RealTimeAnalytics #Automation #DigitalTransformation

acecloud.ai/resources/blog/kub

Public
Mauricio Teixeira 🇺🇸🇧🇷

Looking behind the scenes of something fascinates me as much as the "visible" thing, sometimes even more. I like looking inside a computer, or how a movie is made, and even looking at a house being built just up to the point before the drywall.

Today I'm fascinated looking at this empty stormwater retention pond, because I can see the bottom and get an understanding of how much water it can hold and how it flows around.

Maybe that's exactly why I chose to work in #ITInfrastructure.

Public
Stefano Marinelli

Good morning, friends of the #BSDcafe and #fediverse
I'd like to share some details on the infrastructure of BSD.cafe with you all.

Currently, it's quite simple (we're not many and the load isn't high), but I've structured it to be scalable. It's based on #FreeBSD, connected in both ipv4 and ipv6, and split into jails:

* A dedicated jail with nginx acting as a reverse proxy - managing certificates and directing traffic
* A jail with a small #opensmtpd server - handling email dispatch - didn't want to rely on external services
* A jail with #redis - the heart of the communication between #Mastodon services - the nervous system of BSDcafe
* A jail with #postgresql - the database, the memory of BSDcafe
* A jail for media storage. The 'multimedia memory' of BSDcafe. This jail is on an external server with rotating disks, behind #cloudflare. Aim is georeplicated caching of multimedia data to reduce bandwidth usage.
* A jail with Mastodon itself - #sidekiq, #puma, #streaming. Here is where all processing and connection management takes place.

All communicate through a private LAN (in bridge) and is set up for VPN connection to external machines - in case I want to move some services, replicate or add them. The VPN connection can occur via #zerotier or #wireguard, and I've also set up a bridge between machines through a #vxlan interface over #wireguard.

Backups are constantly done via #zfs snapshots and external replication on two different machines, in two different datacenters (and different from the production VPS datacenter).

#sysadmin#tech#servers
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