Kong Insomnia 12: Smarter, Faster, More Accessible API and MCP Development
We’re excited to announce the general availability of Kong Insomnia 12!
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
API Gateway vs. AI Gateway: The Definitive Guide to Modern AI Infrastructure
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.
The AI-Powered Telecommunications Enterprise: Zain KSA's Strategy
The AI-Powered Enterprise: A Zain KSA Blueprint In the competitive telecommunications sector, how does a leading communications service provider move its AI strategy into action? This interview with Zain KSA’s Analytics General Manager, Hamzeh Saud Aldraaee, reveals their powerful blueprint for success.
BlazeMeter MCP Server: How to Get Started
Discover how to get started with BlazeMeter's MCP Server in this in-depth demo. Learn how you can seamlessly connect your AI tools, from agents to assistants and chatbots, to BlazeMeter’s robust, cloud-based performance testing platform for unparalleled efficiency.
Kafka Service Bundle: Managed Apache Kafka Without Lock-In
Apache Kafka delivers unmatched performance for real-time data streaming — but managing it in-house requires deep expertise. That’s where OpenLogic’s Kafka Service Bundle comes in. This managed Apache Kafka solution helps enterprises simplify operations, control costs, and maintain full ownership of their data — without the vendor lock-in of commercial clouds. Key benefits: With OpenLogic, your business gets the freedom and flexibility of open source Kafka — supported by the expertise and reliability enterprises depend on.
Why Testing Is Now the Proof of AI Compliance
Across industries, AI systems are being scrutinized under new laws that demand proof of fairness, transparency, and human oversight. Hemraj Bedassee , Delivery Excellence Practitioner,
Performance Testing and Artificial Intelligence (2/2)
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.
Performance Testing and Artificial Intelligence (1/2)
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?
From warehouse to AI-powered insights in minutes
Census makes it easy to turn warehouse data into AI-ready vectors — without building a single pipeline.
Accelerating the AI Journey Together: Logicalis + Cloudera
The future of AI is powered by data and success depends on the right partners. Logicalis and Cloudera are enabling organizations to confidently navigate their AI journey, from data strategy to execution, with scalable, secure, and intelligent solutions. I will send a CTA once Lan determines what makes sense.