I share my experiences and lessons learned from projects, along with the strategies I used to overcome challenges.
Recently, during one of my project implementations, I ran into a fascinating (and frankly, frustrating) edge case while working with the Google Cloud Gemini Java SDK. If you are building applications
To run programs and store information, a computer's memory must be efficiently managed to allocate data to appropriate memory spaces. This article explores the fundamentals of memory management and the memory model in Java, including how memory is de...
I recently started working on a project where the APIs accept requests and return responses in XML format. While exploring Playwright for API testing, I found that it provides a mechanism to handle requests and responses in JSON format, but lacks a s...
In today's digital age, billions of API requests are made globally over the internet, seamlessly integrating technology into our daily lives. We interact with these APIs through various devices such as smartphones, smartwatches, laptops, and even tel...
In this article, we will explore the command-line tool jq, a powerful and flexible utility for managing and parsing JSON files. Why use jq when JSON can be managed with other desktop and online tools? jq is easy to install. It has no runtime depende...
Scenario We aim to make a GET API call to the customer database to validate user details and retrieve the session token, authentication token, and other related tokens as cookies from the server. These cookies are returned in the response header and ...
Application Consider a case where a modern microservices application, with complex external integrations, large datasets, and extensive configuration, is deployed on GKE (Google Kubernetes Engine). This application should auto-scale horizontally base...
Application The backend application, developed using Java and Spring Boot, is hosted on Google Kubernetes Engine (GKE). An API is provided for customers and internal applications to upload files and process them. Problem Customers were unable to uplo...
Use Case The task was to create an index in a PostgreSQL database instance hosted on the Google Cloud Platform (GCP). The database size was approximately 250GB, containing millions of records. Constraints Product teams did not have direct access to ...