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@faun shared a link, 1 year, 9 months ago

The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper.

Explore the fascinating world of Artificial Intelligence and solve real-world problems!

In this practical guide, you will build intelligent real-world applications using GPT-3, DALL-E, Whisper, CLIP, and more tools from the OpenAI and ML ecosystem.

Rest assured, you don't need to be a data scientist or machine learning engineer to follow this guide!

The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper.
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@squadcast shared a post, 2 days, 14 hours ago

Kubernetes Monitoring Best Practices: A Comprehensive Guide for DevOps and SREs

The blog post explores seven essential best practices for Kubernetes monitoring, guiding DevOps and Site Reliability Engineers (SREs) in developing robust monitoring strategies. It differentiates between monitoring and observability, emphasizing the importance of defining clear objectives, identifying critical metrics, selecting appropriate tools, and implementing comprehensive monitoring across system and application levels. The guide covers key aspects such as choosing between open-source and commercial solutions, monitoring the monitoring system itself, managing data storage, tracking the Kubernetes control plane, and integrating monitoring with incident response.

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@squadcast shared a post, 1 month ago

How to Install Prometheus on Kubernetes: A Comprehensive Guide

This definitive guide provides a comprehensive walkthrough for installing Prometheus on Kubernetes, covering essential steps from prerequisites to advanced configuration. Readers will learn how to leverage Helm charts, create custom scrape configurations, manage resources, and implement best practices for Kubernetes monitoring. The tutorial offers practical code examples, troubleshooting tips, and insights into transforming cluster observability through powerful, open-source monitoring techniques.

Story Palark Team
@shurup shared a post, 1 month, 3 weeks ago
@palark

Latest news from KubeCon NA 2024 about CNCF projects

Significant releases included Jaeger v2 and Prometheus 3.0. Two projects (Dapr and cert-manager) became Graduated. New certifications for Backstage, OpenTelemetry, and Kyverno were announced...

KubeCon North America 2024
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@shurup shared a post, 5 months, 1 week ago
@palark

Nelm as a viable Helm replacement

Nelmis emerging as a promising alternative to Helm. It is a part of a bigger CNCF project calledwerf, which aims to improve your Kubernetes-based CI/CD. Being backward-compatible with Helm, Nelm comes with significant improvements and new features that pull your deployment experience ahead. Learn m..

Nelm as Helm alternative
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@shurup shared a post, 7 months ago
@palark

werf v2: how this CI/CD tool evolved and why it came up with Nelm instead of Helm

werf is a CLI tool for CI/CD created in 2016 and a CNCF Sandbox project since 2022. It implements opinionated CI/CD in Kubernetes with your favourite CI system. Starting from werf v2, it uses Nelm instead of Helm to deploy container images.

werf v2 release and evolution with Helm
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@squadcast shared a post, 8 months ago

Helm Dry Run: A Guide for Effective Chart Validation

Helm dry run, using the helm install --dry-run command, is a valuable technique for validating Helm charts before deployment on a Kubernetes cluster. It helps avoid errors and unexpected behavior by simulating the installation process without modifying the cluster. Helm dry run works alongside other Helm commands like helm template and helm lint to streamline development and ensure charts are well-structured, compatible, and ready for deployment.

Story Palark Team
@shurup shared a post, 8 months ago
@palark

AI-based tools for Kubernetes troubleshooting and more

This overview lists and describes Open Source tools for Kubernetes administrators interested in leveraging AI for their everyday needs. They include K8sGPT (a CNCF project), Kubernetes ChatGPT bot by Robusta, kube-copilot, and a few kubectl plugins (such as kubectl-ai and kubectl-gpt).Learn about th..

kubernetes-chatgpt-aiops
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@squadcast shared a post, 1 year, 10 months ago

Strategies for Kubernetes Cluster Administrators: Understanding Pod Scheduling

As the complexity of a Kubernetes cluster grows, managing resources such as CPU and memory becomes more challenging. Efficient pod scheduling is critical to ensure optimal resource utilization and enable a stable and responsive environment for applications to run in. In this blog, we will delve into the intricacies of pod scheduling, including optimization of resource allocation and balancing workloads.

Squadcast - Strategies for Kubernetes Cluster Administrators: Understanding Pod Scheduling
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@emile shared a post, 1 year, 11 months ago
Co-founder, Nebuly

Tutorial on Dynamic GPU Partitioning with MIG to Maximize the Utilization of GPUs in Kubernetes

Partitioning is a way to divide GPU resources into smaller slices. This allows Pods to be scheduled only on the memory/compute resources they actually need, thus increasing GPU utilization and reducing infrastructure costs in Kubernetes clusters.

nos, opensource to maximize GPU utilization in Kubernetes
Story FAUN Team
@eon01 shared a post, 1 year, 11 months ago
Founder, FAUN

New Partnership Announcement: FAUN and ContainerDay Security 2023

FAUN is glad to announce a partnership with ContainerDay Security.

Container Day Security
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