Model Context Protocol, or MCP, has been rapidly gaining attention in the AI community. MCP represents a powerful shift in how we can interact with AI systems, making complex operations as simple as having a conversation. In this article, we'll explore what MCP is, why it's
Last week, Google released the public beta for Jules. Instead of a co-pilot or code completion tool, Jules is an asynchronous coding assistant intended to parallelize tasks and increase code throughput. In this article, we’ll showcase Jules and how it can fit into our development pipeline. The codebase For
Today we’ll share a real-world client story that motivated our previous blog post and how our custom automated scaling solution led to significant cost savings during off-peak hours. Bringing together everything we've learned about balancing Cloud Run costs and performance stems from a real-world issue faced by
Since 2018, Google’s Cloud Run service has transformed how developers deploy containerized applications by offering a serverless platform that fully manages underlying infrastructure management. With its ability to run stateless containers in a fully managed environment, Cloud Run provides scalability and flexibility, all together with a pay-per-use pricing model.
Learn how to optimize GCP Dataflow pipelines using Flex Templates. Practical tips for parallel processing, custom I/O connectors, and Apache Beam best practices from real production experience.
SZNS Solutions (pronounced "seasons") is a certified Google Cloud Partner and technology consulting firm with deep engineering expertise on building cloud-native solutions and solving difficult technical problems. You can find more information at our website https://szns.solutions/ or email us at info@szns.solutions. Overview One of
Dataprep, developed by Trifacta, is a fully-managed service to speed up data exploration, cleaning, and transformation. The platform provides an intuitive UI to define data sources, transformation steps, and export to other data storage systems (eg: Cloud Storage, BigQuery). Dataprep reduces reliance and bottlenecks on dedicated data engineers and allows