Systems | Development | Analytics | API | Testing

In this episode of #WordsUnplugged, Seshika Fernando, VP of Banking and Financial Services at WSO2 and Asanka Abeysinghe, CTO of WSO2, explore the possibilities of using digital doubles and behavioral authentication to bridge the gap between banking experiences and those from more famous service providers like Amazon and Netflix. Join these two experts as they explain how these concepts may be used to ultimately create smoother, more secure banking experiences for everyone involved!

We will be discussing the API Analytics capabilities of WSO2 API Manager in this session. By API Analytics, we talk about information we can derive from API Usage. The data on how your APIs are being used can be of great value for your organization. You will learn about the different analytics solutions WSO2 API Manager provides for you to take informed decisions about your business and APIs.

In this episode, we explore the complex interplay between APIs and Services, including their distinct versions and life cycles. We clarify the differences between managed or business APIs and service endpoints. The discussion also touches on domain, experience, and utility APIs, direction-based communication, gateway necessities, and the use of eBPF+MTLS as a minimal observer without a sidecar. Join us for a concise yet insightful look at these essential architectural components.

In this #WordsUnplugged video, we examine how API gateways have evolved, how traditional API gateways fall short in supporting Kubernetes cloud native environments, today's API gateway requirements, why Envoy is the best standard on which to build next-generation API gateways, and the future of API management on #kubernetes.

In a recent article, Lakmal Warusawithana, Senior Director for Cloud Architecture at WSO2, wrote how programmable data planes offer dynamic control for cloud native applications and how technologies like the extended Berkeley Packet Filter (eBPF) and Kubernetes provide an abstraction to improve flexibility, scalability, and performance. In this WordsUnplugged episode, Lakmal, and Kanchana Wickremasinghe, VP and GM for Choreo at WSO2, sit down to talk about eBPF and its role in creating effective programmable data planes in Kubernetes. They also discuss benefits, challenges, best practices, as well as future trends and opportunities.

Any new digital service being built today also needs to be exposed as an API. This is the core of agile, successful digital businesses. It forces digital organizations to create new APIs while consuming many other APIs in the process, effectively being part of the global API supply chain.

We will be discussing how to work with APIs using WSO2 API Manager in this session. You will learn about Rate limiting policies which would help you to protect your API from exhaustion, how API Policies can help modify your requests and responses and how API versions and revisions can help maintain your API changes. You will also understand about the Lifecycle of APIs, how to perform testing and prototyping when required, how to specify access control and visibility and also about the inbuilt user roles which helps you carry out each of these functionalities easily in WSO2 API Manager.

Microservices is a hot topic these days in the area of software architecture. Everybody wants to create applications using microservices architecture. What are microservices? There are so many technical explanations for this but let us break it down in a very simple way in this video.

In 'Sizing Up Services: The Pragmatism of Micro, Mini, and Monoliths,' we explore the technical intricacies of pragmatic application architecture. We dive deep into microservices, miniservices, and monolithic architectures, explaining their real-world applications and organizational impacts. The episode also sheds light on how these architectural patterns influence the design and structuring of business domains. Join us for a technical deep-dive into service sizes and make more informed architectural decisions for your projects.

MLOps also known as Machine Learning Operations is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT. In this video, you can learn about the basics of MLOps and its applications in Choreo.