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#scalability

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First change since #swad 0.2 will actually be a (huge?) improvement to my #poser lib. So far, it was hardwired to use the good old #POSIX #select call. This is perfectly fine for handling around up to 100 (or at least less than 1000, YMMV) clients.

Some #select implementations offer defining the upper limit for checked file descriptors. Added support for that.

POSIX also specifies #poll, which has very similar #scalability issues, but slightly different. Added support for this as well.

And then, I went on to add support for the #Linux-specific #epoll and #BSD-specific #kqueue (#FreeBSD, #NetBSD, #OpenBSD, ...) which are both designed to *solve* any scalability issues 🥳

A little thing that slightly annoyed me about kqueue was that there's no support for temporarily changing the signal mask, so I had to do the silly dance shown in the screenshot. OTOH, it offers changing event filters and getting events in a single call, which I might try to even further optimize ... 😎

Today at the Environment Reading Group we talked about #Scalability by reading "On #Nonscalability: The Living World Is Not Amenable to Precision-Nested Scales" by Anna Lowenhaupt Tsing.

In a nutshell: scalability is a colonial project, based on monoentities and wants to control and dominate the environment. While it will never succeed, mainly due to planetary limits, is a great capitalist vehicle for destruction.

🎤 How Open Source Powers the Enterprise – Yesterday, our Commercial Director Ronny Marx took the stage at #CloudFest to share why WordPress is made for enterprise companies. 🚀

43% of all websites run on WordPress – meaning nearly every second website you visit is powered by it! He also showcased real-world cases proving that WordPress is both scalable and secure. 🔐 🌍

❇️ 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

❇️#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

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

#Scalability is a product of a rational and production oriented view of the world, tied to ideas of resource extraction, leverage, and production to get ”more”.
linkedin.com/posts/fridgren_so

www.linkedin.com”Sorry, love the idea, but it doesn’t scale” I’ve got three children. And… | Daniel Fridgren | 22 comments”Sorry, love the idea, but it doesn’t scale” I’ve got three children. And in a way, you could say they are the core of my investment portfolio. I invest a lot of time and resources in them. They are lousy business ideas from a scaling viewpoint. There will be no hockey sticks. No 100x returns on investment in regular business terms. They won’t scale. And that is precisely the point. I don’t want nor expect scalable returns. The output that matter to me is not even measurable. And if all things go the way I’d like it to, I won’t even be around to see the full extent. The most important things in life doesn’t scale. Scalability is a product of a rational and production oriented view of the world, tied to ideas of resource extraction, leverage, and production to get ”more”. More of what? Hollow gains? What truly matters cannot scale. Yet, scalability is of major importance for investors. It is often celebrated in technology and business contexts as a way to maximize efficiency and impact. Impact? Of what kind? ”We only look for scalable solutions for this problem.” ”If we can standardize this, the TAM will be huge.” ”The network effects here gives financial leverage.” So when we scale, what do we loose? Depth. Automated customer service may be scalable. But often the experience is subpar to talking with a real human. Variation. Scalable solutions tend to flatten out local and cultural variation. Homogeneity is often a result in the hunt for scalability. Robustness. What’s scalable in terms of human enterprises is often centralized and with single points of failure. Fragile. There is a vast number of non-scalable investments out there with great payoff. By funding and nurturing what’s not scalable, we gain in many important areas. Some of which are: Antifragility. Depth. Variability. But funding that which doesn’t scale has mostly been left to countries—and to a smaller extent charities and NGOs. Given our outlook today, I believe we need to revisit this strategy. The corporate layer most of us are working within resides on top of another layer which is often forgotten. This layer is a foundation that itself has a core of non-scalable investment, essential to human dignity and social cohesion. Just like externalized costs, it is not accounted for. Could it be that there is a systemic risk in not being more interested in this layer from a corporate standpoint? With very few exceptions, corporations today do not care much about it. Mondragon is the only real exception I have found so far. The rug pull will be rough if the foundational layer goes south. And who knows how long the idea of countries will persist. It may be time to start to invest more in the non-scalable, and support alternative, resilient structures that are able to alleviate the outcomes if nations aren’t able to support anymore at some point in the future. What is a non-scalable investment your corporation could do? | 22 comments on LinkedIn
Continued thread

Big question, Why ATProtocol from #BlueSkySocial #PBC’s mouth instead of Mastodon and ActivityPub?:

“Why not use ActivityPub? #ActivityPub is a federated social networking technology popularized by #Mastodon.

Account #portability is a major reason why we chose to build a separate protocol. We consider portability to be crucial because it protects #users from sudden bans, server shutdowns, and policy disagreements. Our #solution for portability requires both signed data repositories and #DIDs, neither of which are easy to retrofit into ActivityPub. The migration #tools for ActivityPub are comparatively limited; they require the original server to provide a redirect and cannot migrate the user's previous data.

Another major reason is #scalability. #ActivityPub depends heavily on delivering messages between a wide network of small-to-medium sized nodes, which can cause individual #nodes to be flooded with traffic and generally struggles to provide global views of #activity.”

Short version, WE CANT CONTROL YOU.

<atproto.com/guides/faq>

AT ProtocolLexicon - AT ProtocolA schema-driven interoperability framework