Learn how Dependency Injection (DI) in Python helps improve code structure, testing, and flexibility, using real-world examples and the dependency-injector library.
Automate Jira workflows via API with Python: tickets on pipeline failures, JQL reports, and data sync. Start with failed transfers and expand to dashboards and testing.
Enhance Jenkins pipelines with shift-left input validation using a shared library—catch configuration errors early, boost reliability, and accelerate development.
In this article, we highlight both the overlap between PDF and TIFF files in certain industries and suggest a few APIs to convert to and from each format.
Implement thermometer continuations in Scala using exceptions and state to capture, replay, and resume control flow with minimal changes to the language.
This guide covers the effective implementation of Ola Hallengren's SQL Server Maintenance Solution for index optimization, especially in Availability Group environments.
Clean and normalize event data in Ansible Event-Driven Automation (EDA) with the ansible.eda.dashes_to_underscores filter for smoother, more reliable automation.
Java evolves for serverless Kubernetes with Quarkus and Loom, tackling microservices and events, with cold start hurdles but a strong future in cloud-native apps.
Redis powers both caching (to speed up API responses) and rate limiting (to prevent faucet abuse), offering performance improvements and protecting against abuse.
Demo of auto-instrumentation with App Insights on AKS: This article provides a demo of how to enable monitoring on applications without requiring code changes.
Learn the best practices to build scalable and high-performance apps with modular code, async programming, error handling, NPM management, and top-notch security.
Apache Doris excels in complex analytics with SQL support and high performance, while Elasticsearch is ideal for full-text search and real-time retrieval.