Systems | Development | Analytics | API | Testing

AWS outages grab headlines because they affect millions, but the root cause often comes down to something invisible: DNS failures and cascading service dependencies. The complexity of modern cloud systems, combined with the advanced technology powering platforms like AWS, makes these outages particularly challenging to diagnose and resolve.

Multiplayer transforms the chaos of support tickets, eliminating manual work, sloppy hand-offs, and grepping through log files. End-user support has always been messy. Manual steps, tool-switching, and scattered communication turn what should be a simple fix into a marathon of frustration. Tickets feel like scavenger hunts: everyone’s searching for details, logs, screenshots, or that missing repro step. Developers are left waiting on context that never arrives.

Traditional API Gateways: Excellent for routing, auth, and microservice traffic; poor at AI workloads. Limitations: Can't track tokens, manage streaming responses, enforce content-level security, or use semantic caching. AI Gateways Purpose-built for LLMs with: Architecture Recommendation: Layered approach: Benefits: Lower costs (20--40%), better performance, centralized governance, future-proof AI infrastructure. Market Context.

Disclosure management has traditionally relied on Microsoft Office products like Excel and Word as workhorses for finance teams. However, the modern business landscape demands a more efficient and integrated approach to ensure accurate and timely financial disclosures.

An API endpoint is a defined URL or path where an API accepts a request from the client, such as a web app, mobile app, automation script, or AI agent, and sends back a response. It serves as the official communication point between the frontend and backend. In other words, if an API is a restaurant, then the endpoint is the exact table where we take your order.

OAuth scope naming is critical for securing APIs and simplifying their use. Poorly named scopes can confuse developers and create security risks, while clear, consistent naming ensures precise permissions and easier maintenance. Here’s a quick summary of best practices: Use Clear, Descriptive Names: Follow a resource.action format like users.read to specify both the resource and action. Maintain Consistency: Stick to a unified naming pattern across all APIs to avoid confusion.

Across industries, AI systems are being scrutinized under new laws that demand proof of fairness, transparency, and human oversight. Hemraj Bedassee , Delivery Excellence Practitioner,

DevOps is a practice, not a tool, but tools are needed to implement it. Breaking down walls of communication and creating visibility and trust across all the teams involved in delivering software and technology is challenging. The right tools make the automation and integrations needed across functional teams seamless, open, and scalable. This article looks at the top CI/CD, automation, orchestration, and other DevOps pipeline tools to give you a detailed list of our Top 15 DevOps tools in 2025.

If you recall part one of this blog post, we were going to use ChatGPT in parallel with how we would work to cover these aspects of performance testing. We left the first part of this blog post at the point at which we had compared Requirements Gathering and Risk Assessment, we will pick this post up by looking at Script Creation before concluding with Results Analysis. Our performance testing tool of choice will be JMeter.

If you believe many articles online you would believe that automation in testing will soon be defined, managed and executed by Artificial Intelligence (AI). AI is embedded in many organisations technology landscape and to think that this model will change is shortsighted. AI is here to stay undoubtedly in one form or another, but should it be responsible for the automated testing of your applications under test?