November 2024
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,…
“Debugging: The Art of Talking to Yourself in Code”
Programming is often glorified as a world of creativity and innovation. But ask any developer, and they’ll tell you the truth: a significant portion of their time is spent debugging. Debugging isn’t just a technical skill—it’s an art form, a detective story, and sometimes, a practice in self-therapy. In this post, we’ll dive into the…
Reviving Backbone Legacy Systems with Modern Automation Tools
Legacy systems are often the backbone of long-standing organizations, housing valuable data and complex workflows that modernize at a snail’s pace. But with today’s automation tools, breathing new life into these systems is easier than ever. In this blog, we’ll explore strategies to enhance and streamline legacy systems using automation, without the need for a…
About me
A Journey Through Technology, Innovation, and Applied Knowledge Throughout my career, I’ve traversed a dynamic landscape in technology, building a robust foundation in system design, software development, and technical problem-solving. From my beginnings in COBOL and C with projects at Olivetti and Rabobank Netherlands, through to the advanced work on governmental and financial systems, I’ve…
Taming the Data Beast: A Fun Guide to Database Indexes, Joins, and Optimizations
“Ever wonder why your SQL query seems to be stuck in quicksand, sinking slowly as you watch the clock tick? You’re not alone. Today, we’re diving into the world of database optimization, where indexes and joins aren’t just technical jargon; they’re the magical spells that keep your data flowing at lightning speed.” Indexes: The Unsung…
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…
Transforming Network Data into Predictive Insights with Machine Learning
In a world where network uptime and performance are crucial, proactively monitoring network health is only the first step. By tapping into the wealth of data gathered from SNMP (Simple Network Management Protocol) metrics and syslog messages, we can uncover valuable patterns and predict potential issues before they occur. This post explains how we leverage…
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…
Optimizing SNMP Monitoring with Dynamic Alerts and Anomaly Detection
Part 4 of Our Network Monitoring Series In our previous posts, we set up a network monitoring system that uses SNMP to collect data, InfluxDB to store metrics, and Grafana to visualize them. Now that we have a baseline, it’s time to make our system smarter and more proactive. By implementing dynamic thresholds, simple anomaly…
Visualizing SNMP Network Data with Grafana
Part 3 of Our Network Monitoring Series In our first post, we set up a subnet scanner that identified SNMP-enabled servers. Then, in Part 2, we configured InfluxDB to store our collected metrics. Now, with data continuously streaming into InfluxDB, it’s time to turn numbers into insights with Grafana dashboards. Grafana is a powerful visualization…
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…
