The cloud world is constantly evolving, and migrating applications from virtual machines (VMs) to platforms like Kubernetes offers scalability, portability, and ease of management.
However, the migration process is not always straightforward, and sometimes the journey doesn’t go as smoothly as expected. Our Python Django application, which had been running flawlessly on a VM, suddenly turned sluggish and unresponsive after the migration.
Timeouts became a frustratingly common occurrence, and the overall performance of the application deteriorated significantly.
This unexpected slowdown was a major concern, as it impacted the user experience and could potentially lead to lost revenue and customer dissatisfaction.
In this blog post, we take you through the steps we followed to track down the performance issues and identify the root cause of our application’s slowdown in the Kubernetes environment.
Continue reading “Solving Timeout Issues in Python Django on Kubernetes”
Deploying Kafka on Kubernetes with Strimzi has quickly become the industry-standard approach for building scalable and production-ready data streaming platforms. As modern applications generate massive volumes of real-time data, organizations need a reliable, flexible, and automated way to manage Kafka clusters. Kubernetes provides the perfect foundation with its built-in orchestration, scaling, and self-healing capabilities, making it ideal for running stateful distributed systems like Kafka.