Julio Cesar Vivas C (@juliocesar_vc) 's Twitter Profile
Julio Cesar Vivas C

@juliocesar_vc

ID: 1098723469

calendar_today17-01-2013 17:01:53

1,1K Tweet

98 Followers

1,1K Following

Stanislav Kozlovski (@bdkozlovski) 's Twitter Profile Photo

👉 If you like Apache Kafka you need to learn about Schema Registry. EVERY company uses schemas in their Kafka messages. The only question is how. There are all kinds of out-of-band solutions one can apply - e.g you can just vibe-code some JSON and parse it ad-hoc in your

👉 If you like Apache Kafka you need to learn about Schema Registry.

EVERY company uses schemas in their Kafka messages. The only question is how.

There are all kinds of out-of-band solutions one can apply - e.g you can just vibe-code some JSON and parse it ad-hoc in your
Dhanian 🗯️ (@e_opore) 's Twitter Profile Photo

Logging & Monitoring (ELK Stack, Prometheus, Grafana) What is Logging & Monitoring? → Logging records what happened in your system (errors, requests, events). → Monitoring observes system health in real-time (CPU, memory, traffic, uptime). → Together, they help detect

Logging & Monitoring (ELK Stack, Prometheus, Grafana)

What is Logging & Monitoring?

→ Logging records what happened in your system (errors, requests, events).
→ Monitoring observes system health in real-time (CPU, memory, traffic, uptime).
→ Together, they help detect
Raul Junco (@rauljuncov) 's Twitter Profile Photo

Every Developer at a Growing E-Commerce Has Faced This Question. How do we scale order creation during a flash sale? You’ve got 4 options. Only one of them actually works. Let’s break them down. Option A: Synchronous order creation Blocks the request. DB write in the hot

Every Developer at a Growing E-Commerce Has Faced This Question.

How do we scale order creation during a flash sale?

You’ve got 4 options.
Only one of them actually works.

Let’s break them down.

Option A: Synchronous order creation

Blocks the request.
DB write in the hot
Dhanian 🗯️ (@e_opore) 's Twitter Profile Photo

Error Handling & Debugging What is Error Handling & Debugging? → Error Handling ensures that when something goes wrong, the system responds gracefully instead of crashing. → Debugging is the process of finding, understanding, and fixing those errors. Error Handling

Error Handling & Debugging

What is Error Handling & Debugging?

→ Error Handling ensures that when something goes wrong, the system responds gracefully instead of crashing.
→ Debugging is the process of finding, understanding, and fixing those errors.

Error Handling
Dhanian 🗯️ (@e_opore) 's Twitter Profile Photo

Client–Server Architecture Overview → A foundational model in distributed systems → Splits responsibilities between two entities: Client and Server → Client requests services, Server processes and responds Components → Client → Frontend applications (web, mobile,

Client–Server Architecture

Overview

→ A foundational model in distributed systems
→ Splits responsibilities between two entities: Client and Server
→ Client requests services, Server processes and responds

Components

→ Client → Frontend applications (web, mobile,
Govardhana Miriyala Kannaiah (@govardhana_mk) 's Twitter Profile Photo

DevOps official language has to be 'YAML' - Helm uses YAML - GitHub uses YAML - Ansible uses YAML - Argo CD uses YAML - Kubernetes uses YAML - Azure DevOps uses YAML - Docker Compose uses YAML and more ... All the sophisticated toolsets you aspire to learn and adopt run on

DevOps official language has to be 'YAML'

- Helm uses YAML
- GitHub uses YAML
- Ansible uses YAML
- Argo CD uses YAML
- Kubernetes uses YAML
- Azure DevOps uses YAML
- Docker Compose uses YAML
and more ...

All the sophisticated toolsets you aspire to learn and adopt run on
TechOps Examples (@techopsexamples) 's Twitter Profile Photo

Many DevOps Engineers don’t fully understand the Policy As Code Workflow. Here, We’ve made this to help you better understand. 🔴 52K+ read my DevOps and Cloud newsletter: techopsexamples.com/subscribe What do we cover: DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps 🔁 Consider a

Many DevOps Engineers don’t fully understand the Policy As Code Workflow.

Here, We’ve made this to help you better understand.

🔴 52K+ read my DevOps and Cloud newsletter: techopsexamples.com/subscribe

What do we cover:

DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps

🔁 Consider a
Dhanian 🗯️ (@e_opore) 's Twitter Profile Photo

𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 𝗵𝗮𝗻𝗱𝗹𝗲 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆? WhatsApp is built on a 𝗵𝗶𝗴𝗵𝗹𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗲𝘃𝗲𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, where services for messaging, calls, media sharing, status, and

𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 𝗵𝗮𝗻𝗱𝗹𝗲 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆?

WhatsApp is built on a 𝗵𝗶𝗴𝗵𝗹𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗲𝘃𝗲𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, where services for messaging, calls, media sharing, status, and
Mustafa (@mustafa_kh4n) 's Twitter Profile Photo

algorithms aren’t just for coders; they’re powerful design tools too. > this book shows how math and algorithms shape patterns, structures, and solutions. > perfect for engineers, designers, and anyone who wants to merge creativity with computation

algorithms aren’t just for coders; they’re powerful design tools too. 

> this book shows how math and algorithms shape patterns, structures, and solutions. 
> perfect for engineers, designers, and anyone who wants to merge creativity with computation
Akhilesh Mishra (@livingdevops) 's Twitter Profile Photo

In my DevOps bootcamp last month, I built a complex project on AWS ECS. AWS + Terraform + GitHub Actions + multi-environment setup 🏗️ Architecture Overview: Application Stack: Flask + Nginx + Redis microservices Container Orchestration: ECS Fargate for 3 services Service Mesh:

In my DevOps bootcamp last month, I built a complex project on AWS ECS. AWS + Terraform + GitHub Actions + multi-environment setup

🏗️ Architecture Overview:
Application Stack: Flask + Nginx + Redis microservices

Container Orchestration: ECS Fargate for 3 services
Service Mesh:
Dr Milan Milanović (@milan_milanovic) 's Twitter Profile Photo

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺? The Data Platform is an analysis platform that enables you to ingest, transform, and extract value from your data. Everything starts from different data sources, which you can connect using data loaders that serve as connectors. You

Milan Jovanović (@mjovanovictech) 's Twitter Profile Photo

Independent deployability in microservices. You can make changes to a microservice and deploy it to production without needing to deploy any other components. The value here is significant: - Smaller deployments → less risk - Make changes in isolation - Faster release cycles

Independent deployability in microservices.

You can make changes to a microservice and deploy it to production without needing to deploy any other components.

The value here is significant:
- Smaller deployments → less risk
- Make changes in isolation
- Faster release cycles