Systems | Development | Analytics | API | Testing

OpenTelemetry based Distributed Tracing for WSO2 API Manager

Tracing is one of the three pillars of observability. Tracing an API call in WSO2 API Manager is important to observe, identify possible bottlenecks in an API invocation path, and debug them. WSO2 API Manager facilitates tracing API invocation paths and publishing the traces based on the OpenTelemetry standard, using multiple tracers, namely: OpenTelemetry Protocol (OTLP), Jaeger, Zipkin, Log & Custom Tracer. This demo outlines important concepts of OpenTelemetry based distributed tracing in WSO2 API Manager, followed by a demonstration of publishing traces using the OTLP Tracer to Elastic APM, when invoking a sample API.

API policies export and import support for WSO2 API Manager

WSO2 APICTL allows users to perform API related tasks without any UI navigations. As an improvement, now WSO2 APICTL allows users to do common API Policy and Rate Limiting Policy related operations without any UI accesses and accelerates the CI/CD tasks related to the Policy Management. From this feature, it now allows to list, export, import and delete operations on both the common API Policies and Rate Limiting policies in multiple ways in accordance with the commands & their flags introduced.

OpenTelemetry based Distributed Tracing for WSO2 Micro Integrator

Tracing is one of the three pillars of observability. Tracing artifacts of WSO2 Micro Integrator is important to observe, identify possible bottlenecks in a message flow, and debug them. WSO2 Micro Integrator facilitates tracing message flows and publishing the traces based on the OpenTelemetry standard, using multiple tracers, namely: OpenTelemetry Protocol (OTLP), Jaeger, Zipkin, Log & Custom Tracer. This screencast outlines important concepts of OpenTelemetry based distributed tracing in WSO2 Micro Integrator, followed by a demonstration of publishing traces using the OTLP Tracer to New Relic APM, when invoking a simple API.

What Are the Different Types of Python Errors? - and How to Handle Them

There are several types of errors that can occur in Python. Each type indicates a different kind of problem in the code, and comprehending these error types is crucial in creating effective Python applications. The most common types of errors you'll encounter in Python are syntax errors, runtime errors, logical errors, name errors, type errors, index errors, and attribute errors. Let's go through each with examples.

The Power of Superapps: How Composable Apps Are Transforming Mobile App Development

Superapps take the features and functions of several apps to create a single powerful app that allows users to accomplish multiple tasks in one place. With mobile app users spending more time on apps each day, what are the benefits of creating a superapp for companies?

AI Center of Excellence: 6 Tips for Success

Artificial intelligence (AI) has become increasingly important as organizations use it to drive innovation, enhance efficiency, improve decision making, and boost digital transformation efforts. But ensuring success requires significant, ongoing efforts. Consider setting up an AI center of excellence (CoE) to boost the success of your AI initiatives.

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It's time to consider the business impact of APIs

APIs need to be discussed in terms of business impact. For too long, the API (application programming interface) has been considered a pure technology topic. But with the need to digitise core business operations and deal with rising security threats, business and technology leaders must elevate API strategic discussions. Meanwhile, organisations need to end the hotchpotch of APIs that act as point solutions and adopt a modern integrated platform approach to APIs that will deliver business optimisation and improve the customer experience.