How to Deploy WSO2 Enterprise Integrator in Containers

How to Deploy WSO2 Enterprise Integrator in Containers

  • By WSO2 Team
  • 6 Nov, 2018
On-Demand Webinar

How to Deploy WSO2 Enterprise Integrator in Containers

Tuesday, November 6, 2018
Webinar Slides

Most enterprises today look at multiple deployment options when it comes to production. The ability of a middleware product to be deployed in containers is a key requirement as it reduces infrastructure costs, provides consistency across multiple deployment environments, and creates isolation with better security. WSO2 Enterprise Integrator’s micro integrator profile is specifically designed to be container-friendly and have fast startup times with the same feature set.

In this webinar, we will explore how WSO2 Enterprise Integrator can be deployed on a containerized deployment and the key configuration steps of successful production deployment and monitoring.

Presenters

Nandika Jayawardana Associate Director/Architect, WSO2

Nandika has contributed to the development of WSO2 Business Process Server and WSO2 Web Services Frameworks for PHP, C, and CPP. Nandika has also provided technology consulting on customer integration projects using WSO2 Enterprise Service Bus and WSO2 Business Process Server. He is an elected member of the Apache Software Foundation and a pioneer member and active committer to the Apache Axis2 project. He has also actively contributed to Apache Axis2/C and Apache Sandesha2/C.

Indika Sampath Technical Lead, WSO2

Indika is a technical lead in the WSO2 Enterprise Integrator team. His main interests include J2SE, J2EE technologies, enterprise-level framework such as spring, struts, hibernate and web services in JAX-WS.

Malaka Gangananda Senior Software Engineer, WSO2

Malaka is a senior software engineer in the integration team at WSO2. He holds a bachelor’s degree in engineering from the Department of Computer Science and Engineering, University of Moratuwa. As part of his final year research and development project, he developed ‘CDAF’, a framework that can be used to analyze crime data combined with GIS and weather data, and predict crime categories.