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Cloud Native was supposed to solve many problems of traditional enterprise IT. Less rigid systems. Fewer monolithic dependencies. Faster deployments. …
When IT decision-makers and data engineers discuss the deployment of machine learning and artificial intelligence, the focus is almost entirely on …
When a B2B company enters into contracts with highly regulated industries such as banking, insurance, or the automotive sector, the final decision …
In many medium-sized companies, the IT landscape resembles a collection of digital islands. There is one application for customer contact, another …
The use of established US SaaS solutions is standard in the mid-sized business sector. Whether for collaboration, customer support, or document …
In the world of complex B2B software and ERP systems, the live demo is the crucial moment of truth. It’s where a prospect decides whether they …
“We have a nightly backup.” In many SaaS companies, this phrase is the standard response to questions about data security. However, the …
For many SaaS providers, winning a large enterprise client or a public sector contract is a double-edged sword. On one hand, there’s the …
In modern event communication, streaming “only” on your own website is rarely enough. Marketing teams want to be where their audience is: …
Operating Software-as-a-Service (SaaS) or complex eCommerce solutions presents an economic and architectural challenge: the cost structure demands …
In software development, versioning code is standard. However, in data engineering and AI projects, this is not sufficient. A model consists not only …
For a long time, IT infrastructure in B2B sales was a peripheral issue. Companies relied on major US SaaS providers because they were considered the …
TL;DR In many enterprise organizations, each team builds its own Ansible environment—without clear versioning, without central reuse, without …
TL;DR For a long time, Elasticsearch was the undisputed standard for log analytics and full-text search. But then Elastic changed its license, …
TL;DR In a world where Microsoft 365 and Google Workspace set the standard, companies often pay with their data. The GDPR compliance of US clouds is …
TL;DR For a long time, it was said: “SQL Server needs Windows Server.” Those days are over. Since Microsoft ported SQL Server to Linux, it …
TL;DR Relational databases are the backbone of almost every business application. However, the market leader MySQL is now owned by Oracle, and cloud …
A Large Language Model (LLM) without access to current enterprise data is like a brilliant professor without a library: it has the world’s …
The classic “Data Lake” model has failed. Companies have invested millions in infrastructure to collect data in one place, only to find …
Edge Computing in the Enterprise Context: Opportunities and Limitations Architectural Models, Security Implications, and Operational Reality Edge …
Multi-Cloud Strategies for SMEs and Enterprises Architectural Principles, Governance, Security, and Operational Reality Multi-Cloud is no longer just …
TL;DR Identity is the new perimeter. Outsourcing login and user management to SaaS services like Auth0 or AWS Cognito initially offers convenience …
In a Retrieval Augmented Generation (RAG) architecture, the vector database (Vector DB) is the core component. It provides the Large Language Model …
The introduction of Artificial Intelligence in small and medium-sized enterprises has opened a new security front. When we train LLMs or build RAG …
The Localmind Case: What Happens When Security Promises Are Not Kept The self-description was promising: “Local & secure AI platform for …
Cloudflare is far more than just a CDN provider. In addition to performance optimization and security features, the platform offers numerous tools …
Spoiler Alert: Yes, it is – and it’s not only possible but already a standard in many enterprise environments. Does .NET Fit with Kubernetes? …
Starting November 1, 2025, Microsoft will eliminate traditional volume licenses. Specifically affected are the major licensing models Enterprise …
Everyone is talking about AI, Large Language Models, inference pipelines, custom LLMs, and co-pilots for all conceivable business processes. What is …
Most IIoT projects don’t fail because of the machines. The sensors work. The controllers provide data. The networks transmit packets. The …
Why IT and OT Must Converge In modern industrial environments, increasingly complex data streams are emerging at the interface between production and …
Mattermost is used in many companies as a central communication platform. It is comparable to Microsoft Teams or Slack. So, what sets Mattermost apart …