Engineering Blog Archives

Google Kubernetes Engine Ingress configuration for production environments

Google Cloud Platform / SADA Engineering

Managing multiple ingress points from the public internet into Google Kubernetes Engine (GKE) clusters creates management overhead and can result in inconsistent configurations. While many people don’t know the possibility exists, setting up a single GKE ingress point is a simple task that reduces the overhead burden and provides greater scalability. Read on to go […]

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Vertex AI: Serving architecture for real-time machine learning

Deploying machine learning algorithms for real-time inference is of utmost importance to power customer-facing web applications and other use cases. One of the prerequisites for a functional real-time ML serving architecture is to containerize the applications. Containerizing the runtimes provides a reproducible environment to train and deploy the ML models. In this article, we’ll look

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Network design for a Google Bare Metal Solution environment

Google Cloud Platform, Infrastructure Modernization / SADA Engineering

When a business has a lot of time and money invested in legacy, on-premises database solutions like Oracle, it can result in a lot of reluctance around moving to a cloud-based solution. Moving the data and its related apps and services to the cloud is a significant effort entailing risk, possible impacts to productivity, and

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How to orchestrate a data pipeline on Google Cloud with Control-M

AI, Cloud Security, Data Analytics, Google Cloud Platform, Infrastructure Modernization / SADA Engineering

Google Cloud Platform is designed specifically to accommodate organizations in a variety of positions along their cloud services journey. From large-scale machine learning and data analysis, to services tailored to SMB, or hybrid-cloud solutions for customers that want to use services from more than one cloud provider. When BMC was migrating their Control-M application to

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An introduction to Software Delivery Shield

Application Modernization, Cloud Security, Google Cloud Platform / SADA Engineering

The software supply chain is more vulnerable to cyber attacks today than ever before. Gartner predicts that “45% of organizations worldwide will have experienced attacks on their software supply chain by 2025”. Considering the risk of increasing cyberattacks on the software delivery pipeline Google recently introduced Software Delivery Shield at Next ‘22. Software Delivery shield

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