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Kittipong Sorasuchart ✧'s avatar
Kittipong Sorasuchart ✧
proBangkok, Thailand
Senior Full Stack Developer. Founder/CEO of Mirimera.
$1k+
Earned
2x
Hired
5.0
Rating
32
Followers
Senior Full Stack Developer. Founder/CEO of Mirimera.
Cover image for Centralized Server Monitoring System Implementation
Centralized Server Monitoring System Implementation
6
24
Cover image for Professional portfolio website
Professional portfolio website
2
6
Cover image for Website Performance and Visibility Auditing Platform
Website Performance and Visibility Auditing Platform
2
4
Cover image for Options Trading Platform
Options Trading Platform
2
6
328
Grafana(1)
Aduraleke faith Akintade's avatar
Aduraleke faith Akintade
proKigali, Rwanda
Devops Engineer delivering efficient software application.
$1k+
Earned
1x
Hired
5.0
Rating
10
Followers
Devops Engineer delivering efficient software application.
Cover image for Multi-Tenant SaaS Platform on AWS EKS
Multi-Tenant SaaS Platform on AWS EKS
0
12
Cover image for HIPAA-Ready Health Data Platform on AWS
HIPAA-Ready Health Data Platform on AWS
0
1
Cover image for which of these A or
which of these A or B would you pick.
2
0
99
Cover image for sip, savor and enjoy your
sip, savor and enjoy your coffee.
0
88
Grafana(2)
Serhii Lukash's avatar
Serhii Lukash
Vinnytsia, 21000
AI Automation Engineer | Python Pipelines That Save 40+ Hour
New to Contra
AI Automation Engineer | Python Pipelines That Save 40+ Hour
Cover image for G-Mind: AI Email Automation Engine & Gmail Pipeline
G-Mind: AI Email Automation Engine & Gmail Pipeline
0
0
Cover image for BubbleBrain — AI Chatbot Backend for E-commerce
BubbleBrain — AI Chatbot Backend for E-commerce
0
2
Cover image for Serotonin Script: AI Medical Content Engine & RAG Pipeline
Serotonin Script: AI Medical Content Engine & RAG Pipeline
1
3
Cover image for Async Domain Analyzer: Domain Intelligence Pipeline
Async Domain Analyzer: Domain Intelligence Pipeline
0
2
Grafana(1)
HAMZA EL QADIRI's avatar
HAMZA EL QADIRI
Madrid, Spain
Data Engineering & AI,
New to Contra
Data Engineering & AI,
Cover image for Spotify Loader Benchmark The Spotify Loader Benchmark is
Spotify Loader Benchmark The Spotify Loader Benchmark is a comprehensive framework for evaluating different data loading strategies on the Spotify dataset, providing insights into the performance of various loading mechanisms. By comparing sequential, vectorized, multithreaded, raw SQL, Celery-based, and Flink-based loaders, this project helps developers optimize their data loading processes. With its robust architecture and flexible design, the Spotify Loader Benchmark is an essential tool for anyone working with large datasets.
0
51
Cover image for The AI-Powered Modern Data Platform
The AI-Powered Modern Data Platform for E-Commerce is a cutting-edge solution that bridges the gap between complex data infrastructure and business users. This project combines a robust modern data stack with advanced AI capabilities, enabling natural language analytics over an enterprise-grade E-Commerce Data Warehouse. By leveraging Artificial Intelligence, Large Language Models, and Retrieval-Augmented Generation (RAG), this platform empowers business users to ask questions in natural language and receive actionable insights.
0
14
Cover image for Sales & Customer Dashboard: Unlocking
Sales & Customer Dashboard: Unlocking Insights with Tableau Analyzing sales performance and customer behavior is crucial for businesses to make informed decisions. The Sales & Customer Dashboard is designed to provide stakeholders with a comprehensive overview of sales metrics, trends, and customer insights. By leveraging Tableau's data visualization capabilities, this dashboard empowers sales managers, executives, and marketing teams to identify areas of improvement, optimize strategies, and drive growth.
0
43
Cover image for Azure Data Pipeline for E-commerce
Azure Data Pipeline for E-commerce Analytics : E-commerce teams drown in raw sales CSVs and scattered APIs—while revenue leaks hide in untracked product returns and regional stock-outs. I built a cloud-native, end-to-end analytics pipeline that turns chaotic transactional data into sub-minute Power BI insights, letting merchandisers act on trends before they become costly mistakes.
0
48
Grafana(1)
Joshua Valle's avatar
Joshua Valle
Palisades Park, USA
Building Intelligent Systems and Data-Driven Solutions
Building Intelligent Systems and Data-Driven Solutions
Cover image for Low-Level Schematic of Developing a Web-Based System for Rem...
Low-Level Schematic of Developing a Web-Based System for Remote Collection and Analysis of Vehicle Electrical Systems Over CANBus Using Carloop (https://scholarworks.arcadia.edu/showcase/2023/comp_sci_math/5/)
1
64
Cover image for Web-Based System for Remote Vehicle Data Collection
Web-Based System for Remote Vehicle Data Collection
0
6
Cover image for I'm offering 3 FREE automation audits to e-commerce business...
I'm offering 3 FREE automation audits to e-commerce businesses, individuals, and more this week (first-come, first-served). I'll review your current processes and show you exactly where you're losing time/money, and how to automate it. No obligation, just want to build my portfolio. Comment or DM if interested. You can also view my work online here: https://automated-business-solutions.netlify.app/
0
47
Cover image for FiveM (GTA) Customer Server Development & Scripting Develope...
FiveM (GTA) Customer Server Development & Scripting Developed and maintained custom FiveM (GTA V) servers, specializing in advanced LUA scripting and automation. Built immersive gameplay systems, custom jobs, and server-side logic using QBCORE and ESX frameworks. Integrated third-party APIs, optimized server performance, and delivered engaging multiplayer experiences. Demonstrated expertise in resource management, anti-cheat scripting, and seamless deployment of new features for a vibrant player community.
1
74
Grafana(2)
Mohammed Abul Azad Faisal's avatar
Mohammed Abul Azad Faisal
proDhaka, Bangladesh
DevOps & Cloud Infrastructure Engineer | Proxmox Expert
DevOps & Cloud Infrastructure Engineer | Proxmox Expert
Cover image for Hybrid On-Premises and Cloud Kubernetes Platform
Hybrid On-Premises and Cloud Kubernetes Platform
0
0
Cover image for Automated OpenNebula Monitoring and Alerting
Automated OpenNebula Monitoring and Alerting Architecture Designed an automated monitoring and observability architecture for a multi-region OpenNebula private cloud environment. The solution automatically discovers newly created virtual machines through the OpenNebula API and registers them in Zabbix without requiring manual monitoring configuration. Once a VM is detected, it is assigned to the appropriate host group based on its region, environment, operating system, or customer. Monitoring templates are then applied automatically for Linux, Windows, hypervisor, network, and storage systems. This ensures that every newly provisioned VM receives consistent monitoring, trigger thresholds, availability checks, and alerting policies from the moment it becomes active. The architecture includes regional Zabbix proxies that collect monitoring data from each OpenNebula region and securely forward it to a centralized Zabbix Server. This reduces cross-region monitoring traffic and allows monitoring to continue locally during temporary network interruptions. The platform monitors: CPU and memory utilization Disk capacity and performance Network traffic and packet loss Operating system availability Services and running processes VM uptime and availability Hypervisor health Storage availability and performance Network devices using SNMP Web services and APIs using HTTP checks When a problem is detected, Zabbix evaluates the configured trigger and escalation policy. Notifications are then automatically routed to Telegram, Microsoft Teams, and email based on severity, environment, and operational responsibility. Grafana is integrated with Zabbix as a centralized visualization platform. It provides real-time dashboards for infrastructure health, regional availability, VM performance, uptime, service-level objectives, resource capacity, and active alerts. The monitoring environment is isolated from tenant and production networks using a dedicated monitoring network. Only controlled monitoring, API, and notification traffic is permitted between the cloud regions and the monitoring platform. Key outcomes of the solution include: Automatic VM discovery and monitoring enrollment Consistent monitoring across all OpenNebula regions Automated template and policy assignment Centralized alerting and escalation Telegram, Microsoft Teams, and email notifications Real-time Grafana dashboards Reduced manual administration Faster incident detection and response Scalable monitoring for future cloud expansion This project demonstrates my ability to integrate OpenNebula, Zabbix, Grafana, API-driven automation, multi-region monitoring, centralized alerting, and secure network segmentation into a complete private cloud observability platform.
0
15
Cover image for Designed a complete multi-region private
Designed a complete multi-region private cloud architecture using OpenNebula across three geographically separated regions with a total of 20 physical servers. The solution provides centralized cloud management, regional workload isolation, secure inter-region connectivity, shared cloud services, disaster recovery, backup replication, and dedicated monitoring for the complete infrastructure. The environment was structured as follows: Primary Region: 8 servers Secondary Region: 8 servers Disaster Recovery and Expansion Region: 4 servers Centralized OpenNebula management and scheduling KVM-based virtualization across all compute nodes Regional firewalls, routers, load balancers, and gateway services Separate compute, storage, management, tenant, replication, and monitoring networks Shared storage and Ceph-based storage architecture Cross-region backup replication and workload failover Centralized image, template, user, network, and lifecycle management Secure administrator and tenant access through SSO and role-based access control A dedicated monitoring and observability environment was also designed separately from the production cloud network. The monitoring stack included Prometheus or Zabbix for metrics collection, Grafana for dashboards, Alertmanager for notifications, and Loki or the ELK Stack for centralized log management. Regional monitoring proxies and agents collect host, VM, storage, application, and network metrics from each region while keeping the monitoring infrastructure isolated from tenant and production traffic. The architecture was designed to provide: High availability across multiple regions Centralized private cloud management Secure workload and tenant isolation Disaster recovery and regional failover Scalable compute and storage capacity Centralized monitoring, logging, and alerting Infrastructure automation through APIs, Terraform, Ansible, and CI/CD pipelines This project demonstrates my ability to design secure, scalable, highly available private cloud platforms using OpenNebula, KVM, software-defined networking, distributed storage, infrastructure automation, and enterprise monitoring technologies.
0
21
Cover image for Automated Proxmox Inventory with NetBox
Automated Proxmox Inventory with NetBox
0
0
Grafana(3)