Architect a cloud-agnostic app to facilitate connectivity between Amazon S3 and Google Cloud Storage

When companies shift between cloud providers, they tap into cloud-agnostic tools for smooth infrastructure, data, and CI/CD pipeline migration. However, app migration poses a nuanced challenge, often requiring complete refactoring due to varying dependencies/APIs. Explore our blog for insights into how SADA engineers facilitated a client’s AWS-to-GCP app migration, maintaining hybrid mode access throughout. You’ll […]

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Demystifying data: harnessing Google Duet AI for code-free dataset exploration

Walk through the process of leveraging Google’s Duet AI to gain novel insights from a large dataset—without writing any code. You’ll see how you can explore the data, answer questions, and visualize results—no data engineering experience required.

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Efficient monitoring: configuring SLIs, SLOs, and monitors in Datadog

This engineering blog will guide you through SRE practices and principles, illustrating their application in configuring precise monitoring. Explore SLIs, SLOs, error budgets, and burn rates within an SRE framework. Gain a deeper understanding of application signals to make informed decisions while upholding service reliability.

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Understanding GCVE networking: linking Google Cloud VPC to GCVE

Explore how the Google Cloud VPC communicates with the Google Cloud VMware Engine (GCVE) private cloud network. To ensure network simplicity and optimal networking performance for VMware workloads in Google Cloud, we’ll cover how to select the right connectivity or communication mode for your GCVE environment.

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A deep dive into Cloud DLP de-identification techniques

Learn about Cloud Data Loss Prevention (Cloud DLP), a comprehensive, fully managed service designed to identify and safeguard sensitive data across various sources, including databases, text, and images. This service provides thorough visibility and empowers organizations to classify sensitive information effectively, reducing data-related risks. Cloud DLP employs techniques such as obfuscation and de-identification, including masking

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