Camunda in its current version is perfectly suited to run BPM in cloud infrastructures. From Spring Boot integration to the External Task Pattern and other features you have a lot of freedom to design your BPM architecture the way you want. Is anything missing? Hardly.
Except one thing: Identity management in the cloud often differs from classical approaches. Neither the integrated Identity Management nor the optional LDAP Identity Provider fit. That’s why we have been looking for a way to better integrate Camunda’s Identity Management into such environments.
Deutsche Telekom IT and conologyDeutsche Telekom is one of the world’s leading integrated telecommunications companies, with some 178 million mobile customers, 28 million fixed-network lines, and 20 million broadband lines. Friedbert Samland, Project Manager at Deutsche Telekom IT GmbH; and Willm Tüting, General Manager at conology GmbH, give us a sneak preview into how they transformed this global telco leader from a monolithic BPEL application, into a microservices set up.
When Indiana Farm Bureau’s Sowmya Raghunthan, IT Application Architect; and Corinna Cohn, Senior Web Developer, sat down to develop an app using Camunda as a headless BPM, their research drew a blank. This September at CamundaCon, the talented pair will present this industry-first use case in two parts. So if you’ve been pondering how to use the Camunda REST Engine to full capability, alongside a decoupled architecture – you do not want to miss this!
We are happy to announce the release of Camunda Optimize version 2.6.0-alpha1. You can find improvements and features from the upcoming Optimize version 2.6.0 in this first alpha release, including:
- Multi-Version Support for Process and Decision Reports
- Durations for Running Process Instances
- New User Task Assignee & Candidate Group Reports
The complete release notes are available in Jira.
Camunda BPM 7.12.0-alpha2 is here and the highlights are:
- Query Tasks by a list of assignees with the assigneeIn filter
- DMN 1.2 Schema Support
- OR in More Query Types
- Clarified OpenJDK Support
- Engine Logging Configuration
- Case Insensitive Queries
- Operation Log Annotations
- 23 Bug Fixes
If you are interested, you can see the complete release notes.
If you want to dig in deeper, you can find the source code on GitHub.
Niko Vogel, Manager IT-BPM and Product Owner AXA Konzern AG; and Matthias Schulte, Senior Consultant - Competence Center “BPM and Process Automation”, viadee Unternehmensberatung AG, are some of Camunda’s longest-standing users. In fact, Niko has joined us on stage before, presenting at Camunda Days in Stockholm and Brussels. If you were fortunate enough to score a seat at those events – you’ll know this CamundaCon presentation from the forward-thinking pair is not to be missed! Read on for highlights of their talk, and what they’re looking forward to at CamundaCon 2019.
We are proud to announce the Camunda Modeler v3.2.0 minor release. It comes with several modeling improvements, with grid snapping among them, as well as with essential bug fixes.
Download the improved app and start modeling right away.
Zeebe implements fundamentally new concepts for workflow automation which allow for unprecedented horizontal scalability. With Zeebe, you can orchestrate microservices of any scale while ensuring complete visibility into the executed business processes. This solves one of the major problems we are seeing in the software development space today, a problem that cannot be solved by any of the existing workflow products in the market.
CamundaCon 2019 is just around the corner! Rob Parker, Enterprise Architect at Australia Post, will be presenting Innovative Problems For Elegant Solutions and he’s shared with us a sneak peak at the kind of out-of-the-box thinking his presentation will cover:
Everybody is likely familiar with Sudoku puzzles. When I solve them, I typically use little pencil marks to track which values are still feasible in unresolved cells. In other words, for each unresolved cell, I annotate it with the set of remaining possible values or its domain. As each cell is solved, the implication is propagated to its neighbouring cells by crossing off the infeasible values (domain narrowing) from each set of candidate values. This technique is effectively a form of constraint propagation with domain narrowing.