Forwarded from Best Channels for Tech guys
☁️ Screaming in the Cloud – Cloud Computing with a Twist ☁️
Join Corey Quinn as he dives into unfiltered conversations with domain experts across the cloud industry. From AWS, GCP, and Azure to Oracle Cloud, this podcast unpacks the "why" behind cloud decisions**—with a dose of humor and critical insight.
🎙 **Expert Talks on Cloud & DevOps
☁️ AWS, GCP, Azure & Beyond
🔥 Sharp Insights with a Side of Snark
✨ Subscribe now and stay ahead in the ever-evolving cloud landscape! 📲
Join Corey Quinn as he dives into unfiltered conversations with domain experts across the cloud industry. From AWS, GCP, and Azure to Oracle Cloud, this podcast unpacks the "why" behind cloud decisions**—with a dose of humor and critical insight.
🎙 **Expert Talks on Cloud & DevOps
☁️ AWS, GCP, Azure & Beyond
🔥 Sharp Insights with a Side of Snark
✨ Subscribe now and stay ahead in the ever-evolving cloud landscape! 📲
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The article discusses a critical incident involving Postgres indexing at a high-volume database with billions of rows. It highlights the potential pitfalls of concurrent indexing, which can fail silently and lead to performance issues. The author shares best practices for Postgres indexing, including using the CONCURRENTLY flag, monitoring index creation, validating indexes manually, and properly handling partitioned tables.
https://blog.bemi.io/indexing/
https://blog.bemi.io/indexing/
Bemi AI Blog
When Postgres Indexing Went Wrong
It’s important to understand basics of indexing and best practices around them for preventing system downtime.
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Modern, lightweight and multi-cluster Kubernetes GUI. Available on Windows, macOS and Linux.
https://github.com/aptakube/aptakube
https://github.com/aptakube/aptakube
GitHub
GitHub - aptakube/aptakube: Modern, lightweight and multi-cluster Kubernetes GUI. Available on Windows, macOS and Linux.
Modern, lightweight and multi-cluster Kubernetes GUI. Available on Windows, macOS and Linux. - aptakube/aptakube
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The article provides a step-by-step guide on deploying a Node.js application to AWS Lambda using OpenTofu and GitHub Actions. It demonstrates how to automate the deployment process, leveraging infrastructure as code principles and continuous integration/continuous deployment (CI/CD) practices for efficient and reliable serverless application deployment.
https://developer-friendly.blog/blog/2024/09/02/how-to-deploy-nodejs-to-aws-lambda-with-opentofu--github-actions
https://developer-friendly.blog/blog/2024/09/02/how-to-deploy-nodejs-to-aws-lambda-with-opentofu--github-actions
developer-friendly.blog
How to Deploy NodeJS to AWS Lambda with OpenTofu & GitHub Actions - Developer Friendly Blog
Learn to deploy NodeJS apps to AWS Lambda using IaC and GitHub Actions for CI/CD. A comprehensive guide for engineers implementing GitOps.
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Netflix's Key-Value Data Abstraction Layer (KV DAL) is a versatile solution designed to simplify data access and enhance infrastructure reliability.
https://netflixtechblog.com/introducing-netflixs-key-value-data-abstraction-layer-1ea8a0a11b30
https://netflixtechblog.com/introducing-netflixs-key-value-data-abstraction-layer-1ea8a0a11b30
Medium
Introducing Netflix’s Key-Value Data Abstraction Layer
Vidhya Arvind, Rajasekhar Ummadisetty, Joey Lynch, Vinay Chella
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Customizable Linux Persistence Tool for Security Research and Detection Engineering.
https://github.com/Aegrah/PANIX
https://github.com/Aegrah/PANIX
GitHub
GitHub - Aegrah/PANIX: Customizable Linux Persistence Tool for Security Research and Detection Engineering.
Customizable Linux Persistence Tool for Security Research and Detection Engineering. - Aegrah/PANIX
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OpenSauced shares their experience in significantly reducing costs by implementing open-source AI technologies on a large scale using Kubernetes. Their approach demonstrates how organizations can leverage cost-effective solutions for AI deployment without compromising on performance or capabilities.
https://dev.to/opensauced/how-we-saved-10s-of-thousands-of-dollars-deploying-low-cost-open-source-ai-technologies-at-scale-with-kubernetes-57j8
https://dev.to/opensauced/how-we-saved-10s-of-thousands-of-dollars-deploying-low-cost-open-source-ai-technologies-at-scale-with-kubernetes-57j8
DEV Community
How We Saved 10s of Thousands of Dollars Deploying Low Cost Open Source AI Technologies At Scale with Kubernetes
When you first start building AI applications with generative AI, you'll likely end up using OpenAI's...
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AWS explores strategies for optimizing costs associated with generative AI implementations in enterprise environments. The blog post likely provides insights into efficient resource allocation and cost-effective approaches for leveraging generative AI technologies on the AWS platform.
https://aws.amazon.com/blogs/enterprise-strategy/generative-ai-cost-optimization-strategies
https://aws.amazon.com/blogs/enterprise-strategy/generative-ai-cost-optimization-strategies
Amazon
Generative AI Cost Optimization Strategies | Amazon Web Services
Maximize AI's value without breaking the bank - this guide explores cost-optimization strategies across the AI lifecycle, from model selection and data management to FinOps practices.
Forwarded from Best Channels for Tech guys
🐍 Python Notes 🐍
Stay on top of your Python skills with concise notes, tips, and tricks for every level of developer! Whether you're a beginner or advanced, these notes cover everything from basic syntax to advanced libraries and real-world applications.
📘 Comprehensive Python Guides
⚙️ Practical Coding Tips & Tricks
🚀 Master Python, Step by Step
✨ Subscribe now and boost your Python knowledge! 📲
Stay on top of your Python skills with concise notes, tips, and tricks for every level of developer! Whether you're a beginner or advanced, these notes cover everything from basic syntax to advanced libraries and real-world applications.
📘 Comprehensive Python Guides
⚙️ Practical Coding Tips & Tricks
🚀 Master Python, Step by Step
✨ Subscribe now and boost your Python knowledge! 📲
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The author shares their experience with OpenTelemetry, highlighting its potential as a unified observability framework for logs, metrics, and traces. They discuss the benefits of OpenTelemetry's vendor-agnostic approach and its ability to simplify data collection from various sources, while also addressing challenges such as complexity and documentation gaps.
https://medium.com/@magstherdev/opentelemetry-journey-87efbfa261db
https://medium.com/@magstherdev/opentelemetry-journey-87efbfa261db
Medium
OpenTelemetry Journey
The Highs, Lows, and Lessons Learned
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The article explores the challenges of creating code that is not only functional for computers but also intuitive for human developers to use and understand. He emphasizes the importance of user-friendly design in frameworks, libraries, and APIs, highlighting the need for easy onboarding, learning through examples, and avoiding conceptual overload.
https://erikbern.com/2024/09/27/its-hard-to-write-code-for-humans.html
https://erikbern.com/2024/09/27/its-hard-to-write-code-for-humans.html
Erik Bernhardsson
It's hard to write code for computers, but it's even harder to write code for humans
How to build developer tools for happiness and productivity.
A single binary kubernetes dashboard to manage your multiple clusters.
https://github.com/kubewall/kubewall/
https://github.com/kubewall/kubewall/
GitHub
GitHub - kubewall/kubewall: kubewall - Single-Binary Kubernetes Dashboard with Multi-Cluster Management & AI Integration. (OpenAI…
kubewall - Single-Binary Kubernetes Dashboard with Multi-Cluster Management & AI Integration. (OpenAI / Claude 4 / Gemini / DeepSeek / OpenRouter / Ollama / Qwen / LMStudio) - kubewall/kubewall
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Terraform plan analyzer using Amazon Bedrock
https://github.com/aws-ia/terraform-aws-runtask-tf-plan-analyzer
https://github.com/aws-ia/terraform-aws-runtask-tf-plan-analyzer
GitHub
GitHub - aws-ia/terraform-aws-runtask-tf-plan-analyzer: Terraform plan analyzer using Amazon Bedrock
Terraform plan analyzer using Amazon Bedrock. Contribute to aws-ia/terraform-aws-runtask-tf-plan-analyzer development by creating an account on GitHub.
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This exploration delves into the reasons behind the adoption of Infrastructure as Code (IaC) in cloud and Kubernetes environments, comparing it with traditional Graphical User Interfaces (GUIs) and Command-Line Interfaces (CLIs). It highlights the advantages and challenges of IaC, discussing its ability to address limitations found in GUIs and CLIs while acknowledging the learning curve and complexity associated with its implementation
https://itnext.io/what-drives-users-to-infrastructure-as-code-848e8640a506
https://itnext.io/what-drives-users-to-infrastructure-as-code-848e8640a506
Medium
What drives users to Infrastructure as Code?
Users adopt Infrastructure as Code (IaC) as much due to the limitations of GUIs and CLIs as due to the benefits of IaC
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This thought-provoking piece challenges the common "safety first" slogan in tech companies, arguing that true prioritization of safety is incompatible with organizational realities. It proposes a hypothetical definition of "safety first" where engineers can extend deadlines without consequences, highlighting the inherent tension between safety and production pressure in software development
https://surfingcomplexity.blog/2024/08/31/safety-first/
https://surfingcomplexity.blog/2024/08/31/safety-first/
Surfing Complexity
Safety first!
I’m sure you’ve heard the slogan “safety first”. It is a statement of values for an organization, but let’s think about how to define what it should mean explicitly. H…
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Kube Startup CPU Boost is a controller that increases CPU resource requests and limits during Kubernetes workload startup time
https://github.com/google/kube-startup-cpu-boost
https://github.com/google/kube-startup-cpu-boost
GitHub
GitHub - google/kube-startup-cpu-boost: Kube Startup CPU Boost is a controller that increases CPU resource requests and limits…
Kube Startup CPU Boost is a controller that increases CPU resource requests and limits during Kubernetes workload startup time - google/kube-startup-cpu-boost
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