Systems | Development | Analytics | API | Testing

SDK Vs API: Simple Guide For Developers

APIs (Application Programming Interfaces) and SDKs (Software Development Kits) are vital components of modern software development. APIs enable applications to communicate and exchange data, while SDKs typically provide a comprehensive toolchain, libraries, and documentation to build features as robust as possible, or even an entire application.

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.

AI Guardrails: Ensure Safe, Responsible, Cost-Effective AI Integration

As enterprises increasingly embed AI and Large Language Models (LLMs) into their digital experiences, enforcing robust AI guardrails becomes paramount to safeguard users, protect data, manage operational costs, and comply with regulatory and ethical standards. Think of AI guardrails as essential controls: policy, technical, and operational layers carefully placed around your AI services to detect, prevent, and mitigate any unsafe, abusive, or unintended behaviors.

The Silent Security Problem of AI Agents: Bridging the IAM Gap

The increasing use of AI agents in enterprise workflows introduces new identity and security vulnerabilities that conventional identity and access management (IAM) systems are under-equipped to address. Here’s how to close the gap. AI agents are no longer a futuristic concept. They’re booking meetings, writing emails, generating code, automating internal workflows, and making autonomous decisions on behalf of humans or systems, or on their own.