Pwrteams blog.

April 25, 2025

Massive consolidation: reducing 150+ Azure Front Door instances to 10

Discover how a global enterprise reduced 150+ Azure Front Door instances to just 10, achieving significant cost savings and operational efficiency. April 23, 2025

Tech Talk: Modern Java unleashed: virtual threads revolution & other game-changing features in JDK 21

Join us on May 21 for an insightful Tech Talk about Java 21 - virtual threads, pattern matching, record patterns and more, with our colleague Ivan Mihov, Senior Java Engineer. April 15, 2025

12 months of cloud cost optimisation: how 1 team saved $1M in Azure expenses

Learn how a DevOps team slashed $1 million in Azure costs within a year through strategic cloud optimizations and ongoing cost management practices. April 11, 2025

Why most AI projects fail & what can you do about it

Learn why so many AI projects fail and how to de-risk with the right strategy, technology, and talent. March 12, 2025

Tech Talk: Tackling the Knapsack problem: evolutionary algorithms in asset allocation

Join us for a tech talk on the use of Tackling the Knapsack problem by Nikolay Penchev, Senior Software Engineer at Pwrteams Bulgaria. February 20, 2025

Python meets AWS Lambda

Discover how Python and AWS Lambda create scalable, serverless applications with ease. Learn why this powerful duo is shaping the future of cloud computing. February 19, 2025

Building AI teams: strategies for growth, culture, and scalability

Strategies for building AI teams: foster a growth mindset, invest in infrastructure, and partner strategically for long-term success. February 4, 2025

Building resilient multi-cloud DevOps infrastructure for the finance industry

Essentials of building resilient multi-cloud DevOps infrastructure for financial organisations, addressing challenges, benefits, and expert solutions. January 28, 2025

Data lakes done right: challenges & mistakes to avoid in enterprise data management

Discover how to effectively build and manage data lakes while avoiding common pitfalls in enterprise data management.