Camunda BPM VS kubernetes

In Pictet Technologies, my team relies a lot on decision models. These models allow our business analysts to input Compliance business rules directly into the systems with minimal developer intervention. When I joined the company, we used to use both Drools and Camunda. However, we faced severe memory and performance issues, specifically with Camunda, prompting me to explore alternatives.

BPMN is actually a set of standards has been used for years for complex enterprise processes, and nowadays it's becoming more accessible thanks to the development of the new techniques. Web based tooling (like Camunda, BPMN.io), more platforms supporting integrating diagrams into the flows, and remote work culture all helps us to use BPMN easier. Besides all of that, we drive/lead more and more initiatives together and we're keep looking for the efficiency and improvement.

The Universal Process Orchestrator | Camunda

Bernd Ruecker is co-founder and chief technologist of Camunda as well as the author ofPractical Process Automation with O’Reilly. He likes speaking about himself in the third person. He is passionate about developer-friendly process automation technology. Connect viaLinkedIn or follow him onTwitter. As always, he loves getting your feedback. Comment below orsend him an email.

Camunda | Senior Frontend Engineer | REMOTE EMEA (Europe, Middle East and Africa) | Full-time

At Camunda - https://camunda.com - we have a simple goal: automate any processes, anywhere. All the way from Zalando's online shop to NASA's space missions, processes are everywhere, and at Camunda we have made it our mission to enable organizations to design, automate and improve these processes — no matter where they are and what they entail.

Camunda is an open-source software company innovating process automation with a developer-friendly approach that is standards-based, highly scalable, and collaborative for business and IT.

You'd be joining our Optimize team that builds the Business Intelligence component of the Camunda Stack - we do this with highly specialized visualizations that leave our customers in awe.

I'm looking for a keen Senior Frontend Engineer who is passionate about building beautiful and reliable web applications with React and modern JavaScript while enjoying collaborating closely within a diverse, cross-functional team of Engineers, a Product Manager, and a Product Designer.

Frontend-Stack: React, Chart.js, Jest, Enzyme, Testcafe, Node.js

Learn more and apply at: https://camunda.com/career/career-details/?gh_jid=5093941003...

Camuda and Zeebe are targeted to microservices developers.

I'm still looking for a better solution. Do you know any other good solutions? Do you know lowcodeplatform.io or camunda.com?

I know this is not for laravel, but is this the direction you're looking for? https://camunda.com/

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.