By combining LLMs and Jira Automation, you can not only save time, but also increase the efficiency and accuracy of your business processes. We explain how it works....

BPPs are integrated software solutions that help companies to model their business processes. We explain what characterizes a Business Process Platform and how you can decide whether implementing such a platform makes sense for your company....

AI is currently revolutionizing many areas of IT, and iPaaS (Integration Platform as a Service) is no exception. We recently discovered what this means in concrete terms at the Autom8 conference, organized by our partner Frends....

Firmware Over The Air updates are a crucial tool in the context of IoT and smart homes. We explain the term in an easy-to-understand way. We also provide an insight into why FOTA is not only relevant for software developers, security managers and device manufacturers, but also for end users....

In project management, portfolio management tools play a central role in efficiently planning, monitoring and successfully completing projects, programs and portfolios. We compare two of the most established solutions in the Atlassian world: BigPicture and Advanced Roadmaps....

💡Confluence is a powerful collaboration tool from Atlassian that helps companies manage knowledge centrally and makes it easier for team members to organize and structure their projects and tasks. Confluence combines knowledge, task and project management in one tool! But how can you best use Confluence to exploit its full potential? In this article, we share some tried-and-tested tips and tricks to help you integrate...

Meta has just dropped a bombshell in the AI world with the release of Llama 3.1, and it's a big deal. Here's why we are excited: The 405B Powerhouse Llama 3.1 405B is a groundbreaking model that stands out as the first open-weights AI capable of rivaling the performance of closed-source giants like GPT-4 and Claude 3.5 Sonnet. This development significantly narrows...

In the first blog post on the cross-cutting concepts of microservice architectures, we introduced you to the characteristics of microservices and the challenges they face. In the second part, we will look at specific examples of how cross-cutting concepts for microservices can be implemented. Cloud Infrastructure In order for microservices to remain small enough to deserve the name, it must be easy to create new...

💡Microservices are a design pattern in software architecture that aims to shorten communication paths through smaller teams and more focussed responsibilities, thereby reducing time-to-market. The basic ideas behind microservices go back to the Unix principles formulated by Doug McIlroy¹ in 1978. According to him, programmes should be designed in such a way that they … ... have exactly one responsibility and fulfill it well, ... can be nested...

Machine learning (ML) has witnessed explosive growth in recent years. As organizations increasingly leverage Machine Learning models to drive business value, the need for robust Machine Learning Operations (MLOps) practices has become paramount. MLOps encompasses the tools and processes required to manage the entire lifecycle of Machine Learning efficiently, from data acquisition, data processing, and model training to deployment, monitoring, and governance. In the following,...