Building a Web-Based SQLite Database Manager with React and Flask
In this blog, we’ll take you through the development of a feature-rich, web-based SQLite database manager. We’ll use Flask to build a backend API and React to create an interactive frontend. Along the way, you’ll see how to handle table views, CRUD operations, and even manage foreign key relationships dynamically. This project is perfect for…
From Chaos to Clarity: Modular API Design in Python
APIs are a cornerstone of modern software, but as they grow, their complexity can spiral out of control. What starts as a straightforward script quickly evolves into a tangled web of functions, routes, and hard-coded logic. We’ve been there. Today, we’re sharing how we transformed our monitoring API from a monolithic script into a modular,…
From Data to Predictions – Building a Smarter Monitoring System
In the ever-evolving tech landscape, predictive monitoring isn’t just a luxury – it’s a necessity. What if your servers could tell you when they need updates, resources, or attention? With data collected via our API and some machine learning magic, we’re taking the first steps into smarter, data-driven monitoring. In this blog, we’ll explore how…
Building a Secure, Configurable, and Scalable Monitoring API
In a world where infrastructure monitoring is vital, having a flexible and secure way to collect and process custom data is essential. In this blog post, we’ll take you through building an API that not only allows for dynamic field configurations but also includes robust security with API keys tied to specific servers. We’ll walk…
Securing APIs And Enhancing Flexibility and Security
APIs have become the backbone of modern applications, allowing seamless integration between systems. However, with great connectivity comes great responsibility. Securing APIs And Enhancing Flexibility and Security is critical, especially when handling sensitive or high-value data. In this blog post, we’ll dive into how we enhanced the security and flexibility of our previously developed API…
Deploying Flask Applications with Gunicorn as a WSGI Server
Flask is a lightweight and powerful framework for building web applications, but it is not production-ready on its own. For production deployments, using a WSGI server like Gunicorn is an excellent choice. Gunicorn is reliable, scalable, and works seamlessly with Flask. In this blog post, we’ll walk through setting up Gunicorn to serve your Flask…
Building a Scalable Data Ingestion API with Python
In today’s era of monitoring and predictive analysis, having a flexible and scalable data ingestion system is crucial. In this post, we’ll guide you through creating a simple but powerful Scalable API using Python and Flask that can ingest custom metrics into an InfluxDB instance. This API is designed to accept any metric you define,…
Discovering Solutions with Tec4u: Practical Guides without the Noise
In the world of online guides, forums, and countless projects, one site stands out for its simplicity and focus: tec4u. This site was born from a frustration many of us know all too well: endless searches for answers, stumbling across misleading tips, and all too often facing responses that boil down to “RTFM” (Read The…
Extract SNMP and Syslog Data from InfluxDB
After setting up our tools for monitoring in the first series of our Machine Learning Project we have gathers a lot of data. The next step is to query InfluxDB for the relevant SNMP metrics and syslog events. We’ll use Python with the InfluxDB client to connect and extract data into Pandas DataFrames. Set Up…
Expanding Network Monitoring with Syslog and Zabbix Data
Part 5 of Our Network Monitoring Series Our SNMP-based monitoring system is up and running, collecting vital metrics on CPU, memory, and network activity. In this next step, we’ll enhance our insights by integrating additional data sources: syslog data for a richer view of system logs and events, and the Zabbix API for real-time alert…
Storing Network Monitoring Data in InfluxDB
Part 2 of Our Network Monitoring Series In our previous post, we built a Python script that scans a subnet for SNMP-enabled servers and identifies those that are actively responding. Now that we know which servers are SNMP-accessible, we’ll take the next step: collecting key metrics from these servers and storing them in a time-series…
Scanning Your Network for SNMP-Enabled Servers
Part 1 of Our Network Monitoring Series As our networks grow and demand increases, understanding the performance and state of our infrastructure becomes essential. In this series, we’ll walk through setting up a network monitoring system using SNMP (Simple Network Management Protocol) that collects, processes, and visualizes critical data. In this first part, we’ll focus…
