Camilo Cortes

Sr Solutions Architect at @awscloud 🚀☁️ #AWS is How! // Containers and Microservices enthusiast! // My tweets are my own.

[Camilo Cortes @vcach_ops]

"There are things you can't control. There are battles you lose.
At the end of the day, the only thing we have is the people we trust"

[Kube Architect @K8sArchitect]

Kubefirst is a cloud provisioning tool that creates a kubernetes cluster with automated Infrastructure as Code, GitOps asset management and application delivery, secrets management, and more

➤ https://t.co/I2DryDsgTc

[Daniel San @dani_avila7]

Deepseek running locally and privately for autocompletion in VSCode! 🙌

In less than a minute, I'll show you how to download Deepseek-coder and set it as the autocompletion model in VSCode.

You’ll need to use @ollama to download the model and CodeGPT to select it as the autocompletion model.

Enjoy the best models running locally with https://t.co/2TwiyF71HB :)

[Werner Vogels @Werner]

The DeepSeek technical paper is a fascinating read https://t.co/cbNz2rnWBK

[Danilo Poccia @danilop]

Customize Amazon Q Developer (in your IDE) with your private code base 👉 To receive even more relevant code recommendations that are based on your organization’s internal libraries, APIs, packages, classes, and methods https://t.co/PiA3QACeNt #AWS #AI #GenAI #DevEx

[LearnKube @learnk8s]

How do you choose the best instance type for your Kubernetes cluster?

When using an 8 GB/2vCPU instance, are all the memory and CPU available to pods?

The new version of the Kubernetes instance calculator answers those questions and a lot more! https://t.co/86LmmHu8Hk

[Alex Xu @alexxubyte]

What do Amazon, Netflix, and Uber have in common?

They are extremely good at scaling their system whenever needed.

Here are 8 must-know strategies to scale your system.

1 - Stateless Services
Design stateless services because they don’t rely on server-specific data and are easier to scale.

2 - Horizontal Scaling
Add more servers so that the workload can be shared.

3 - Load Balancing
Use a load balancer to distribute incoming requests evenly across multiple servers.

4 - Auto Scaling
Implement auto-scaling policies to adjust resources based on real-time traffic.

5 - Caching
Use caching to reduce the load on the database and handle repetitive requests at scale.

6 - Database Replication
Replicate data across multiple nodes to scale the read operations while improving redundancy.

7 - Database Sharding
Distribute data across multiple instances to scale the writes as well as reads.

8 - Async Processing
Move time-consuming and resource-intensive tasks to background workers using async processing to scale out new requests.

Over to you: Which other strategies have you used?

–
Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://t.co/uc5M7CdXXC

[Danilo Poccia @danilop]

Nice case study 👉 How Fetch reduces latency on image uploads using Amazon S3 Express One Zone https://t.co/eb1wL0f0MF #AWS #Storage

[LearnKube @learnk8s]

This article introduces Bottlerocket, a purpose-built Linux-based operating system optimized for container hosting

The article also discusses using Bottlerocket in EKS, highlighting the Bottlerocket Update Operator to keep nodes up-to-date

➜ https://t.co/0YREcfpb9r

[Kubetools @kubetools]

Kubernetes itself is a very powerful platform, but it can sometimes need additional tools to satisfy the demands of modern applications and operations. https://t.co/ACpfmveE2o

[Danilo Poccia @danilop]

Build a custom UI for Amazon Q Business 👉 To implement special features like handling feedback, using company brand colors and templates, using a custom login, and conversing with Amazon Q through an interface personalized to your use case https://t.co/rLrWKteKJB #AWS #AI #GenAI

[Rishabh @Rixhabh__]

Use these prompts to learn ANYTHING 10x faster: ↓

[LearnKube @learnk8s]

This article presents some cluster, node, and application design ideas for running small and medium-sized workloads efficiently and cost-effectively in an EKS cluster

➤ https://t.co/V2oeQoKJYA

[TechWorld with Nana | DevOps 🚀 @Njuchi_]

Today: #Terraform in 6 hours
Knowing how to use Terraform & #AWS cloud infrastructure is a highly demanded skill, giving you a top advantage in the #DevOps job market. 🚀

Learn how to automate infrastructure with Terraform in my video. Enjoy!
👉 https://t.co/Zu1kqQc6cN

[Werner Vogels @Werner]

Good AI needs good data and the best people to make the right decisions. Excited to announce the "Now Go Build CTO Fellowship" under the AI for Changemakers by @TechToTheRescue. This fellowship supports visionary tech leaders tackling global challenges! https://t.co/Pj4XL9gixu

[Abhishek @HeyAbhishek]

You can use ChatGPT-4o with mental models to maximize your intelligence.

Copy and paste these 20 powerful prompts to boost problem-solving:

[Shubham Saboo @Saboo_Shubham_]

Build a LLM app with RAG to chat with GitHub using Llama-3 running locally on your computer (100% free and without internet):

[LearnKube @learnk8s]

In this article, you'll learn how AWS determines the maximum number of Pods per EKS node, focusing on IP address limits and instance types

You'll also learn how to overcome them with the VPC Prefix Assignment

➤ https://t.co/1e3IsuHL5N

[Danilo Poccia @danilop]

Accelerate your Software Development Lifecycle with Amazon Q 👉 Walk through common use cases for Amazon Q Business in the planning and research phases, and Amazon Q Developer in the research, design, development, testing, and maintenance phases https://t.co/9R92bsoXYV #AWS

[Pau Labarta Bajo @paulabartabajo_]

Let's build an AI Coding assistant with Llama3 ↓🧵🦙

[Aman Kharwal @amankk_9]

#NLP project ideas to boost your resume:

1. Next Word Prediction Model (An Example: https://t.co/0px2F5UugM)

2. End-to-End Chatbot (An Example: https://t.co/9bT2P0rboG)

3. Text Generation Model (An Example: https://t.co/GXciFc0qBL)

#DataScience #MachineLearning #AI