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Monitoring Django Query Performance with AppSignal

Slow database queries are really a pain. It’s easy to blame Django for taking ages to process a request, but the real issue may lie in an SQL query not doing what it should be. These performance degrading queries are often hiding in plain sight. By the time you notice them, they are already affecting your end users. AppSignal is an application performance monitoring (APM) tool with support for Python and Django out of the box.

iPaaS Tools: Comparison of iPaaS Solutions | DreamFactory

With the relative newness of the iPaaS (Integration Platform as a Service) vertical, no single platform has emerged as the de facto choice for enterprises. This can present a challenge if you're trying to choose among the large pool of solutions available – especially when certain solutions labeled "iPaaS" serve very different use-cases.

No More Static Secrets: Kong Expands Cloud-Native Authentication Support

How Kong Gateway 3.14 closes the consistency gap in IAM-based authentication across AWS, Azure and GCP — and what it means for your production deployments Enterprise security teams have clear requirements: no static credentials, no exceptions. Every service-to-service connection, whether it's Kong talking to databases, caches, or vaults, should authenticate using the same IAM-based identity model that governs the rest of their cloud infrastructure.

Beyond Static Routing: Modernizing API Logic with Conditional Policy Execution

Modern API architectures are no longer linear. A single request can traverse multiple layers of authentication, transformation, enrichment, and observability. As these flows grow more dynamic, the need for fine-grained control over when plugins execute becomes critical. For years, the standard approach to API Gateway configuration followed a strict hierarchical model: you applied a plugin to a Service, a Route, or a Consumer.

Gherkin vs Traditional Testing: Which One Wins with AI?

Gherkin's structured, human-readable format gives it a decisive edge when working with AI-powered testing tools. Start evaluating your test suite structure now, as AI-powered QA is becoming the industry standard, and your test format determines how well these tools can assist you. The debate over Gherkin vs traditional testing has taken an unexpected turn.