How engineering teams can thrive in 2025
New year, new approach.
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Cloud Computing
How Nielsen uses serverless concepts on Amazon EKS for big data processing with Spark workloads
Nielsen Marketing Cloud, a leading ad tech company, processes in one of their pipelines 25 TB of data and 30 billion events daily. As their data volumes grew, so did the challenges of scaling their Apache Spark workloads efficiently. Nielsen’s team faced a scenario in which, as they scaled up their cluster by adding more
ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator
Written by: Nino Isakovic Introduction Since 2022, Google Threat Intelligence Group (GTIG) has been tracking multiple cyber espionage operations conducted by China-nexus actors utilizing POISONPLUG.SHADOW. These operations employ a custom obfuscating compiler that we refer to as “ScatterBrain,” facilitating attacks against various entities across Europe and the Asia Pacific (APAC) region. ScatterBrain appears to be
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“Countries are coming online tomorrow, whole countries”
Ben and Ryan are joined by RJ Tuit, Head of UI Platform and Client Architect at ClickUp, formerly an engineering director at Microsoft. They talk about ClickUp’s vision for a comprehensive productivity platform, the complexities of measuring productivity and UX in software development, how to navigate the hype around AI, and more. Plus: What it
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A new flexible, simplified, and more secure way to configure GKE cluster connectivity
Google Kubernetes Engine (GKE) provides users with a lot of options when it comes to configuring their cluster networks. But with today’s highly dynamic environments, GKE platform operators tell us that they want more flexibility when it comes to changing up their configurations. To help, today we are excited to announce a set of features
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Cloud migrations made easy: a guide to migrating from AWS to Google Cloud
More and more customers deploy their workloads on Google Cloud. But what if your workloads are sitting in another cloud? Planning, designing, and implementing a migration of your workloads, data, and processes is not an easy task. It gets even harder if you have to meet requirements that have an impact on the migration, such
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Privacy-preserving Confidential Computing now on even more machines and services
Organizations are increasingly using Confidential Computing to help protect their sensitive data in use as part of their data protection efforts. Today, we are excited to highlight new Confidential Computing capabilities that make it easier for organizations of all sizes to adopt this important privacy-preserving technology. 1. Confidential GKE Nodes on the general-purpose C3D machine
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Stack Gives Back 2024!
We’re excited to announce our 16th annual Stack Gives Back campaign donations.
Stack Gives Back 2024! Read More »
Introducing agent evaluation in Vertex AI Gen AI evaluation service
Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why” behind an agent’s actions – its reasoning, decision-making process, and the path it takes to reach a solution. That’s why today, we’re thrilled to announce Vertex AI Gen
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Announcing smaller machine types for A3 High VMs
Today, an increasing number of organizations are using GPUs to run inference1 on their AI/ML models. Since the number of GPUs needed to serve a single inference workload varies, organizations need more granularity in the number of GPUs in their virtual machines (VMs) to keep costs low while scaling with user demand. You can use
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