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  • Building a Scalable Data Ingestion API with Python

    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,…

  • Reviving Backbone Legacy Systems with Modern Automation Tools

    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

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    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…

  • Extract SNMP and Syslog Data from InfluxDB

    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

    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…

  • Visualizing SNMP Network Data with Grafana

    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…

  • Scanning Your Network for SNMP-Enabled Servers

    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…

  • Streamlining IT Operations: Automating Tasks with Python and APIs

    Streamlining IT Operations: Automating Tasks with Python and APIs

    As IT environments grow more complex, so does the need for efficient management and streamlined operations. Automation has become essential for reducing repetitive tasks and ensuring consistency across systems. In this post, we’ll explore how to harness the power of Python and APIs to automate essential IT tasks, from server configuration to real-time monitoring and…

  • Building Predictive Maintenance for IT Infrastructure Using Machine Learning

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    Building Predictive Maintenance for IT Infrastructure Using Machine Learning

    In today’s IT environments, unexpected downtime can lead to significant disruptions. Predictive maintenance allows us to anticipate failures before they happen, giving teams the chance to perform maintenance proactively. Leveraging data from infrastructure monitoring, we can create a predictive model that helps determine when components need attention. In this blog post, we’ll explore how to…

  • Understanding HAProxy: A Key Tool for Load Balancing and High Availability

    Understanding HAProxy: A Key Tool for Load Balancing and High Availability

    HAProxy, short for High Availability Proxy, is a powerful and widely used open-source load balancer and reverse proxy solution. It plays a central role in ensuring that websites and applications can handle heavy traffic loads effectively and remain available, even when certain servers experience issues. What Does HAProxy Do? HAProxy is designed to distribute incoming…

  • Exploring the Pros and Cons of High Availability

    Exploring the Pros and Cons of High Availability

    High Availability (HA) is a key strategy in IT systems to ensure that applications and services remain accessible and operational, even during unexpected disruptions. Implementing HA can make a noticeable difference in the reliability and user experience of your systems, particularly when paired with tools like HAProxy, VRRP, and DNS. Let’s dive into the primary…