Münster vs. Schalke Lineup – 2nd Bundesliga Matchday 13 (2025/2026)

by Javier Moreno - Sports Editor
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Football 2nd Bundesliga: Pr. Münster vs. Schalke – Lineup – Matchday 13 – 2025/2026

Table of Contents

Preußen Münster

* Formation: 4-3-3
* Starting Eleven:

* goalkeeper: Scherner
* Defenders: Hoffmeier, Lorenz, Hahn, Kusej
* Midfielders: Preißinger, Rüdlin, kobylanski
* Forwards: Grodowski, Vermeij, Ademi
* Substitutes:

* bangre
* Böckle
* Düker
* Kropp
* Maftun
* Schulze
* Stenzel

FC Schalke 04

* Formation: 3-5-2
* Starting Eleven:

* Goalkeeper: Müller
* Defenders: Matriciani, Kaminski, Murkin
* Midfielders: karaman, Seguin, Tempelmann, Wekesser, Ouedraogo
* Forwards: Polter, Pieringer
* Substitutes:

* Goller
* Latza
* Lasme
* Racic
* Schallenberg
* Topp
* Winkler

Match Details:

* Date: November 22, 2025
* Competition: 2nd Bundesliga, Matchday 13
* Venue: Preußenstadion, Münster

Nagelsmann sees “clear advancement” at Bayern – but warns against euphoria

Julian Nagelsmann is satisfied with the development of FC Bayern munich, but warns against excessive euphoria. “We are on a good path, but we are not yet where we want to be,” said the coach after the 4-0 win against VfL Bochum.

Munich – After a turbulent start to the season, FC Bayern seems to be finding its footing under Julian Nagelsmann. the clear 4-0 victory against VfL Bochum was already the third win in a row in the Bundesliga.

“We played a very good game, where dominant and created many chances,” said Nagelsmann, praising his team’s performance. “we are seeing a clear development, the team is getting better and better.”

However, the 35-year-old coach also warned against excessive euphoria. “We are not yet where we want to be. We still have a lot of work to do and need to improve in many areas.”

Especially in the first half of the season, Bayern had struggled with inconsistency and lacked the usual dominance. Nagelsmann had to cope with criticism and personnel problems.

“We have learned from our mistakes and are now more stable,” said Nagelsmann. “The team has grown together and is now more united.”

The upcoming games against top teams will show how far Bayern has really come. Nagelsmann is confident that his team will be up to the challenge. “We are well prepared and will give everything to achieve our goals.”

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The Rise of Serverless Computing: A Thorough Guide



The rise of Serverless Computing: A Comprehensive Guide

Serverless computing is rapidly changing how applications are built and deployed. It’s not about *literally* eliminating servers – servers are still involved! Rather, it’s about abstracting away server management from developers, allowing them to focus solely on writing and deploying code. This guide will explore what serverless is, its benefits, use cases, and how it compares to traditional cloud computing models.

what is Serverless Computing?

At its core, serverless computing is a cloud execution model where the cloud provider dynamically manages the allocation of machine resources. You write and deploy code, and the provider handles everything else – provisioning, scaling, and managing the servers. You’re billed only for the actual compute time consumed, typically measured in milliseconds.

Key characteristics of serverless include:

  • No Server Management: Developers don’t need to worry about patching, updating, or scaling servers.
  • Automatic Scaling: The platform automatically scales resources based on demand.
  • Pay-per-Use: You only pay for the compute time your code actually uses.
  • Event-Driven: Serverless functions are ofen triggered by events,such as HTTP requests,database updates,or file uploads.

Benefits of Serverless Architecture

Adopting a serverless architecture offers several compelling advantages:

  • Reduced Operational Costs: Eliminating server management substantially reduces operational overhead and associated costs.
  • Increased developer Productivity: Developers can focus on writing code instead of managing infrastructure.
  • Faster Time to Market: Simplified deployment processes accelerate the release of new features and applications.
  • Scalability and Reliability: Serverless platforms automatically scale to handle fluctuating workloads, ensuring high availability and reliability.
  • Reduced Complexity: The cloud provider handles much of the underlying complexity, simplifying submission architecture.

Common Use Cases for Serverless

Serverless is well-suited for a wide range of applications.Here are a few examples:

  • Web Applications: Building dynamic websites and APIs.
  • Mobile Backends: Providing backend services for mobile applications.
  • Data Processing: Performing real-time data transformations and analysis.
  • Event-Driven Automation: Automating tasks based on events, such as image resizing or log analysis.
  • Chatbots and Voice Assistants: Powering conversational interfaces.

Serverless vs. Traditional Cloud Computing

Let’s compare serverless to other common cloud computing models:

Feature Serverless Virtual Machines (VMs) Containers
Server Management None Full Control Partial Control
Scaling Automatic Manual or Auto-Scaling Manual or Auto-Scaling
Billing Pay-per-use Hourly/Monthly Hourly/Monthly
Complexity Low High Medium
Startup Time Fast slow Medium

Popular Serverless Platforms

Several cloud providers offer robust serverless platforms:

  • AWS Lambda: Amazon’s serverless compute service. Learn more
  • Azure Functions: Microsoft’s serverless compute service. Learn more
  • Google Cloud Functions: Google’s serverless compute service. Learn more
  • Cloudflare Workers: Serverless platform focused on edge computing. Learn more

Challenges of Serverless Computing

While serverless offers many benefits,it’s not without its challenges:

  • Cold Starts: The initial invocation of a serverless function can experience a delay known as a “cold start.”
  • Debugging and Monitoring: Debugging distributed serverless applications can be more complex.
  • Vendor Lock-in: Choosing a specific serverless platform can create vendor lock-in.
  • Stateless Nature: Serverless functions are typically stateless, requiring external storage for persistent data.
  • Execution Time Limits: Most serverless platforms impose limits on function execution time.

Key Takeaways

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