February 2025 Summaries
4 posts from Northflank
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Jenkins, once a leading CI/CD tool for DevOps teams, is increasingly seen as burdensome due to its maintenance demands, scalability issues, and reliance on plugins, which often lead to compatibility and security concerns. While Jenkins remains widely used, holding a significant portion of the market, it struggles to meet the needs of modern cloud-based workflows. As of 2026, many teams are transitioning to newer CI/CD tools that offer better cloud integration, simpler configurations, and enhanced automation. Notable alternatives include Northflank, GitHub Actions, GitLab CI/CD, CircleCI, and Azure DevOps, which provide built-in cloud-native support, reduced maintenance, and improved scalability. These tools streamline the CI/CD process by minimizing the need for manual configurations and plugin management, allowing teams to focus more on development and less on infrastructure upkeep.
Feb 25, 2025
2,310 words in the original blog post.
Northflank's experience with Next.js highlights significant challenges faced when scaling applications, particularly concerning performance and SEO. Despite Next.js's promise of providing an all-in-one solution for server-side rendering (SSR), static site generation (SSG), and SEO, Northflank encountered persistent performance bottlenecks and inefficiencies that led to a decline in SEO rankings and frequent site crashes during high traffic. The company found that Next.js's tight coupling with Vercel and its shifting framework philosophies exacerbated these issues. As a result, Northflank decided to replace Next.js with a custom-built React SSR solution, which resulted in dramatically improved page load times and restored SEO performance. This switch underscored the importance of having control over the technology stack to ensure scalability and reliability, and it demonstrated that building a high-performance SSR setup is feasible without relying on complex frameworks.
Feb 20, 2025
1,313 words in the original blog post.
DeepSeek R1 is a state-of-the-art large language model solution that allows users to self-host on cloud platforms like AWS, GCP, or Azure, utilizing Northflank's "Bring Your Own Cloud" feature for enhanced performance, privacy, and cost-effectiveness. By leveraging spot-priced GPUs such as A100s and H100s, users can significantly reduce operational costs while maintaining full control over their data and infrastructure. The setup process is streamlined, requiring less than an hour without needing advanced DevOps skills, and provides flexibility across different cloud environments. Northflank simplifies the orchestration process, enabling seamless deployment of the DeepSeek model through stack templates and easy configuration. This approach ensures secure data management, fast scalability, and adaptability to business needs, making it an attractive option for organizations looking to integrate cutting-edge AI capabilities into their own cloud infrastructure.
Feb 17, 2025
844 words in the original blog post.
JonLuca DeCaro, an experienced engineer from Citadel and Pinterest, chose Northflank to scale Weights, an AI platform, into a multi-cloud, GPU-optimized system serving millions, despite having the capability to build infrastructure from scratch. By leveraging Northflank, Weights operates seamlessly across nine clusters on AWS, GCP, and Azure, managing 40+ microservices and over 250 concurrent GPUs, while automating processes such as container orchestration and workload scheduling. This allows a small team to efficiently handle tasks typically requiring a full DevOps team, enabling rapid cloud migration, aggressive cost optimization, and significant performance improvements such as reducing model load time from 7 minutes to 55 seconds. Northflank's infrastructure-as-code capabilities and integrated tools for deployment, monitoring, and resource management provide a streamlined developer experience, allowing Weights to focus on product development and scaling, rather than infrastructure, ultimately saving time and reducing costs dramatically.
Feb 06, 2025
1,110 words in the original blog post.