Systems | Development | Analytics | API | Testing

G2 Ranks Kong #1 for API Management and API Development

Kong is ranked number 1 on the G2 Momentum Grids for API Management and API Development for Spring 2025. And users seem to agree with the glowing assessment: Kong is currently the highest-rated tool based on user satisfaction in the categories of API Management and API Development on G2. We think there are plenty of reasons why Kong is king when it comes to API management and API development. But don't just take our word for it.

#shorts - Think you're catching all the spikes in your #data? Think again.

With Qlik’s Anomaly (Spike) analysis type, you don’t just see the obvious — you uncover the hidden outliers buried deep in your data. Just pick your measure and time field... ...and boom — hashtag#Qlik surfaces the real anomalies in seconds. You also get narrative insights showing biggest spikes. smallest drops and total anomalies. No guesswork. Just instant, actionable insight. Let Qlik do the heavy lifting — so you can move faster, smarter.

Mastering Cost Predictability: Forecasting and Budgeting Strategies for Databricks

Are you struggling to predict and control Databricks costs? You're not alone—accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). Join us for this session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to remove the guesswork from forecasting costs in Databricks. You’ll gain invaluable insights into transforming your approach to cost management from reactive to proactive. With Unravel's Data Actionability Platform, you can forecast costs precisely and take immediate action to optimize spending.

The future of Data-Driven Testing: trends for QA professionals

Quality can no longer be an afterthought and traditional testing approaches often struggle to keep up with modern applications’ complexities. This is where data-driven testing comes in - bringing predictive insights to the forefront of QA. Data-driven testing enables a strategic approach to quality, where every test is backed by insights. As the world moves into a future driven by AI, automation, and continuous testing, embracing data-driven testing became essential.

Chat with your builds, CI, and more: Introducing the Bitrise MCP Server

Have you ever wished you could just ask your CI platform a question instead of digging through logs or scrolling through builds? Well your wish has been granted: Bitrise MCP (Model Context Protocol) Server is here, a new, conversational way to interact with your CI.

From Design to Delivery: How SmartBear API Hub Powers Quality-First APIs

API’s have become the backbone of modern digital ecosystems, enabling seamless integration and interaction between diverse systems, applications, and services. Organizations increasingly rely on APIs to deliver robust functionality, enhance user experiences, and drive operational efficiency. Additionally, APIs are playing an even greater role in the future of AI-driven systems.

Instrumenting Redis in Python with AppSignal

Using AppSignal, you can monitor the performance of your Redis calls and get insights into how your application uses Redis. The AppSignal Python agent supports instrumenting Redis calls out of the box, so you can start monitoring your usage with just a few lines of code. In this post, we will cover how to instrument Redis in a Python application using AppSignal. We will build a simple URL shortener that stores data in a local Redis instance and uses AppSignal to monitor performance.

Ultimate Guide: Skyrocket Your CI/CD With LoadFocus's Ingenious Azure DevOps Integration

Are you struggling with slow deployment cycles and unpredictable performance issues? Discover how integrating LoadFocus API with Azure DevOps can revolutionize your testing approach and deliver lightning-fast, reliable applications.