Systems | Development | Analytics | API | Testing

You will encounter debugging while developing backend systems, web applications, or automation scripts – it’s an inevitable step in the development life cycle. Debugging is a necessary step preceding any delivery of a software product. The Python ecosystem academic is different in that you may not see your errors until you are running the code. Having a stable way to debug your Python code is very important for continuing your development journey.

Amazon S3 became the de facto standard for storing objects due to its cheap price, and it’s designed for high durability, with a 99.999999999% durability guarantee. We can talk a lot about Amazon S3, but today in this blog, let’s see how to upload a file to S3 using the REST API. I hope most of you have tried using the SDK approach with boto3, but today let’s see the different ways to upload a file to S3 using the REST API and guess what, we’ll see a demo as well.

If you’re in QA or a developer who’s been looped into test automation, chances are you’ve heard the term UFT tossed around. Maybe you’ve worked with it back in the day when it was called QTP (QuickTest Professional), or maybe you’re hearing it for the first time amidst all the buzz around Selenium and Cypress. But here’s the thing: UFT (Unified Functional Testing) isn’t some relic of the past.

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.

It’s been almost a year since we released our Konnect Terraform provider. In that time we’ve seen over 300,000 installs, have 1.7 times as many resources available, and have expanded the provider to include data sources to enable federated management of your Konnect organization. There have been many changes in the last year, but there are some changes that we’ve been holding off on as they would break your CI/CD pipelines.

Real-time AI is transforming how businesses process and use data, demanding faster, more reliable, and scalable infrastructure. Unlike older batch processing systems, real-time AI provides instant insights for applications like fraud detection, personalized recommendations, supply chain adjustments, and predictive maintenance. However, scaling these systems introduces challenges like managing massive data streams, ensuring low latency, and maintaining security.

If you are a developer that is running Cursor as your IDE, you have probably had the ability to experiment with different AI agents in pursuit of productivity. One of the most exciting new offerings is DeepSeek V3 is open-source LLM, with added capabilities for code generation, reasoning, and multi-turn conversations.

Growing business demands require enterprises to manage a vast number of APIs. The volume and complexity of these integrations make maintaining quality a challenge. To address this, governing the API lifecycle—from design to retirement—has become essential. API management vendors are therefore developing tools and frameworks to assist.

You have probably seen pages where fresh information loads in without a page reload, or some forms that submit without an apparent refresh. What is happening here is that API calls are being made to send and receive information in background. API calls generate seamless and responsive application experiences. In this introductory tutorial, you will learn to examine an API call in the Chrome DevTools; replay it in Python, and sanitise the Flask REST API data for safe and organised input into the database.

In an increasingly connected digital ecosystem, with applications allowing for smooth communication across platforms and services, it is important to understand what is API testing in order to maintain the delivery of reliable software solutions. API testing is foundational to modern software assurance, effectively auditing the invisible bridges lending themselves to data us and functionality between different software components to ensure they are working optimally numerous conditions and scenarios.