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#dataprocessing

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Public
Wilda Software

LinkedIn, jak to wielka platforma, przetwarza dużo danych. Musi to robić szybko i sprawnie, stąd tutaj zwykła baza danych nie wystarczy i infrastruktura jest "trochę" większa. Warto wiedzieć, jak to robią duże serwisy.

#DataProcessing #NoSQL #SQL #Oracle #BazaDanych #ArchitekturaOprogramowania

blog.bytebytego.com/p/how-link

ByteByteGo Newsletter · How LinkedIn Scaled User Restriction System to 5 Million Queries Per SecondBy ByteByteGo
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
Thomas Roccia :verified:

🧐 In threat intelligence, you often have to deal with a bunch of different data sources, but these data can come in different forms and need to be processed before they can be analyzed!

Well, that’s exactly what you can do with Docling, an open-source library that allows you to process different kinds of data (PDF, DOCX, PPTX, XLSX, images, and more). Bonus: you can also use it for chunking your data, for example for a RAG.

One of the easiest ways to use it is as follows, where I pass a PDF report and convert it into JSON and Markdown, and now it is much easier to process further and extract additional details without polluting my pipeline with garbage data from the file structure.

And it supports OCR 🤓

You can find my code below 👇

➡️ github.com/DS4SD/docling/tree/

➡️ Code: gist.github.com/fr0gger/251cf8

#threatintel#dataprocessing#infosec
Public
Roberto B.

🚀 DataBlock v0.4.2 is here! 🎉

What's new?

- groupByFunction(): Effortlessly organize and group your data!
- getString(): Extract strings with ease for faster processing.
- Plus, the new LIKE operator for powerful filtering! 🔍✨

Upgrade now to power up your data management! 💪

github.com/Hi-Folks/data-block

GitHubGitHub - Hi-Folks/data-block: PHP Package for handling, querying, filtering, and setting nested data structuresPHP Package for handling, querying, filtering, and setting nested data structures - Hi-Folks/data-block
#DataBlock#NewRelease#DataProcessing
Public
WetHat💦

Reading and writing Node.js streams

Node.js streams offer an efficient way to handle large datasets by processing data in chunks, reducing memory usage, and optimizing performance. This guide covers:
➡️creating and managing readable and writable streams
➡️handling backpressure
➡️using async iterators for real-time data processing.

#NodeJS #DataProcessing #Streams #JavaScript #Programming #Scalablility

blog.platformatic.dev/a-guide-

Platformatic Blog · Reading and writing Node.js streamsBy Matteo Collina
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