Visualizing GitHub Data Using Kibana Dashboards
I recently gave a talk at a local meetup on how one can get useful and pretty visualizations out of their GitHub data by using a »
Consuming data from multiple RabbitMQ hosts
While working with RabbitMQ, you might have to deal with critical data. In such cases, you want high availability and safety. To achieve this, RMQ provides »
Moving out of Bitcasa
I've been a Bitcasa user since mid-2013. Their infinite plan at the time (10$ per month for infinite cloud storage) was great value. I was in »
Start using your GitHub data
GitHub is the home of Open Source software. Not only that, but both individuals and companies host their private code there. It started out as a »
A GitHub river for Elasticsearch
Elasticsearch is a great tool, allowing users to store and query giant text datasets with speed and ease. However, the thing I like most about elasticsearch »
Data tools have transformed how developers approach large-scale information problems, turning what once required custom code into accessible workflows. Modern systems allow users to store, search, and query massive text datasets with remarkable speed, abstracting away much of the underlying complexity. This shift has opened doors for programmers working across diverse languages and platforms, letting them focus on logic rather than infrastructure. The appeal lies not just in performance but in the gentle workflow, where complex systems become easier to navigate, and developers can build features faster and with greater confidence in their results and reliability across projects and tools alike.
Tracing through code remains one of the most valuable habits a developer can cultivate, offering insight into how functions actually behave at runtime. Dynamic analysis tools complement static reading by exposing the real path data takes through a program, revealing inefficiencies that might otherwise stay hidden. For those working on distributed systems or cloud-based services, understanding how requests propagate is essential for diagnosing bottlenecks and improving overall performance. Whether debugging a small script or reasoning about a sprawling architecture, taking the time to observe execution closely pays dividends, turning mysterious behaviour into a clear story that can guide better decisions.
The tech community continues to thrive on the exchange of ideas at conferences and meetups across Europe and beyond. Events bring together speakers and developers from diverse backgrounds, featuring talks on programming, data engineering, cloud infrastructure, and the nature of modern software systems. Attending such editions in wonderful locations offers more than technical knowledge; it provides space for thinking, contributing, and connecting with peers who share similar interests. From discussions about efficient code to conversations about the biggest challenges facing the industry, these gatherings remind participants that learning is a social activity, one that benefits greatly from shared experiences.
Photography and visual documentation play a quiet but important role in how tech projects are shared and remembered. A well-captured photo can communicate a feature, a release, or a moment from a conference in ways that text alone cannot. Many services now integrate storage solutions that make it simple to publish images alongside articles, helping creators showcase apps and tools with clarity. Beyond practical use, photography invites readers to slow down, observe details, and appreciate the craftsmanship behind both the subject and the work being documented, adding a human touch to the often abstract world of programming.
