Systems | Development | Analytics | API | Testing

Scheduling Background Tasks in Python with Celery and RabbitMQ

It's important and useful to schedule background tasks for your Python application. Tasks allow your app to perform time-based or long-running operations without blocking the main thread or slowing down the user-facing functionality of your app. Background tasks can be used for anything from running recurring jobs like data cleanup or reporting, to sending asynchronous emails or other notifications.

Workshop Automations 101: Introduction to API Platform-as-a-Service Concepts and Delivery Methods

Discover the fundamentals of delivering API management as a platform service with Kong Konnect. In this introductory workshop, we’ll explore essential concepts and methodologies that Platform Providers use to provide scalable, self-service API management capabilities to Platform Consumers.

Shift Left on Performance Testing - Without Killing Developer Velocity

Traditional performance testing often comes late in the delivery cycle, typically just before release. By then, performance issues are usually quite expensive to fix, can delay deployments, and frustrate development velocity. A Shift Left testing approach addresses this by integrating performance testing early in the development cycle so issues surface while they’re still easy and cheap to fix.

Is MindsDB Safe for Enterprise Use? Security Risks and Alternatives

MindsDB has gained attention for its promise to act as a “SQL server for AI”, enabling users to write natural language prompts that convert into executable database queries. While this may appeal to data scientists and AI teams, enterprise CISOs and compliance leaders should proceed with caution. Recent disclosures have revealed critical security vulnerabilities in MindsDB’s platform that raise serious questions about its suitability for sensitive or regulated environments.

Top 7 AI Solutions for API Testing and Monitoring in 2025

APIs are the nervous system of modern software—and as AI systems like large language models (LLMs) become deeply embedded across products and platforms, the demand for fast, secure, and scalable API infrastructure has never been higher. From early-stage startups to global enterprises, organizations rely on APIs not just to move data, but to power real-time intelligence, automation, and customer experiences.

EP 16: Modernization Unpacked: Perspectives

In this live episode, recorded at WSO2Con Europe 2025, hosts *Sanjiva* and *Asanka* are joined by *Jeremy* *Schneider,* Senior Partner & Co-Head of Global Software & High-Tech Practice at McKinsey & Company, to explore the challenges and opportunities of platformless modernization and the cultural transformation required for organizations to become software-driven. They discuss the importance of leadership in understanding technology, the "build vs. buy" debate in platformless architecture, and how organizations can empower teams with autonomy while maintaining governance.

Master test distribution and store releases: Navigating App Center's shutdown - Bitrise webinar

Visual Studio App Center’s sunset doesn’t have to stall your releases. This session shows exactly how to replace App Center, harden your mobile testing workflow, and stay compliant with Apple App Store and Google Play rules. What's inside: Speakers: Akos Birmacher, Senior Product Manager @ Bitrise Donny Wals, iOS / Swift expert Hosted by Madré Roothman from Bitrise. Jump to the section you want to watch.

Zero-Trust for LLMs: Applying Security Principles to AI Systems

Zero-trust security ensures you verify every interaction, whether it’s a user, system, or API, before granting access. For large language models (LLMs), this approach is vital to prevent data breaches and maintain control over sensitive information. Here’s how zero-trust principles apply to LLMs: Identity Verification: Use multi-factor authentication (MFA) for users and secure API keys for systems. Regularly review and update permissions.

Performance Benchmark Report Q2 2025 for Magento 2

How does your Magento 2 store’s PHP backend performance compare to other operators of Magento in general? To answer this question, we have aggregated and anonymized performance data from over 70 Magento 2 stores over the last quarter and computed benchmark numbers to compare to for the most important page types: Product details, Category Page, Search, and Homepage.