# Cloud Networking

Published articles for Cloud Networking.

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## Presentation: How To Run on Three Clouds at Once, and When Not To

DevFeed: [Presentation: How To Run on Three Clouds at Once, and When Not To](<https://devfeed.tech/articles/presentation-how-to-run-on-three-clouds-at-once-and-when-not-to-8462.md>)

Original publisher: [Read original article](<https://www.infoq.com/presentations/form3-multicloud-architecture/>)

Author: Ross McFarlane, Kevin Holditch

Published: 2026-09-11T11:00:00Z

Content type: article

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [networking](<https://devfeed.tech/topics/networking.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>)

Tags: [amazon](<https://devfeed.tech/tags/amazon.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [availability](<https://devfeed.tech/tags/availability.md>), [aws](<https://devfeed.tech/tags/aws.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-architecture](<https://devfeed.tech/tags/cloud-architecture.md>), [cloud-computing](<https://devfeed.tech/tags/cloud-computing.md>), [cloud-networking](<https://devfeed.tech/tags/cloud-networking.md>), [cockroach-labs](<https://devfeed.tech/tags/cockroach-labs.md>), [cockroachdb](<https://devfeed.tech/tags/cockroachdb.md>), [containers](<https://devfeed.tech/tags/containers.md>), [databases](<https://devfeed.tech/tags/databases.md>), [devops](<https://devfeed.tech/tags/devops.md>), [disaster-recovery](<https://devfeed.tech/tags/disaster-recovery.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [europe](<https://devfeed.tech/tags/europe.md>), [financial-applications](<https://devfeed.tech/tags/financial-applications.md>), [fintech](<https://devfeed.tech/tags/fintech.md>), [form3-multicloud-architecture](<https://devfeed.tech/tags/form3-multicloud-architecture.md>), [infoq](<https://devfeed.tech/tags/infoq.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [networking](<https://devfeed.tech/tags/networking.md>), [presentation](<https://devfeed.tech/tags/presentation.md>), [qcon-london-2026](<https://devfeed.tech/tags/qcon-london-2026.md>), [qcon-software-development-conference](<https://devfeed.tech/tags/qcon-software-development-conference.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [transcripts](<https://devfeed.tech/tags/transcripts.md>), [us](<https://devfeed.tech/tags/us.md>)

### AI overview

A presentation on Form3's move from one cloud to a triple-active multi-cloud architecture, covering cross-cloud networking, distributed databases, Kubernetes operators, and regional disaster-recovery expectations.

### Source excerpt

Ross McFarlane and Kevin Holditch discuss Form3's evolution from a single-cloud setup to a triple active multi-cloud architecture. They share key engineering strategies for cross-cloud networking, distributed databases with CockroachDB and NATS, custom Kubernetes operators, and navigating distinct regional disaster recovery expectations across the UK, Europe, and US financial markets. By Ross McFarlane, Kevin Holditch

## NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt

DevFeed: [NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt](<https://devfeed.tech/articles/nvidia-vera-rubin-and-blackwell-set-a-new-standard-for-agentic-ai-performance-per-watt-6912.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-vera-rubin-and-blackwell-set-a-new-standard-for-agentic-ai-performance-per-watt/>)

Author: Elizabeth Goodman

Published: 2026-08-24T15:00:05Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [blackwell](<https://devfeed.tech/tags/blackwell.md>), [cache](<https://devfeed.tech/tags/cache.md>), [cloud-networking](<https://devfeed.tech/tags/cloud-networking.md>), [cloud-services](<https://devfeed.tech/tags/cloud-services.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [gb300-nvl72](<https://devfeed.tech/tags/gb300-nvl72.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [inference](<https://devfeed.tech/tags/inference.md>), [long-context](<https://devfeed.tech/tags/long-context.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>), [software-defined-data-center](<https://devfeed.tech/tags/software-defined-data-center.md>), [tools](<https://devfeed.tech/tags/tools.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>), [vera-rubin-nvl72](<https://devfeed.tech/tags/vera-rubin-nvl72.md>)

### AI overview

The article examines the SemiAnalysis AgentX benchmark for measuring infrastructure efficiency on replayed agentic coding sessions. It compares Vera Rubin and Blackwell NVL72 systems by agentic throughput per megawatt and explains why dynamic, stateful sessions require more realistic evaluation than fixed-length inference tests.

### Source excerpt

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...

## AWS Weekly Roundup: Price reduction of GPT models in Bedrock, CloudWatch managed collectors for Prometheus metrics, and more (August 3, 2026)

DevFeed: [AWS Weekly Roundup: Price reduction of GPT models in Bedrock, CloudWatch managed collectors for Prometheus metrics, and more (August 3, 2026)](<https://devfeed.tech/articles/aws-weekly-roundup-price-reduction-of-gpt-models-in-bedrock-cloudwatch-managed-collectors-for-prometheus-metrics-and-more-august-3-2026-4616.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/aws/aws-weekly-roundup-price-reduction-of-gpt-models-in-bedrock-cloudwatch-managed-collectors-for-prometheus-metrics-and-more-august-3-2026/>)

Author: Micah Walter

Published: 2026-08-03T16:12:30Z

Content type: news

Language: en

Sources: [AWS News Blog](<https://devfeed.tech/sources/aws-news-blog.md>)

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Amazon EC2](<https://devfeed.tech/topics/amazon-ec2.md>), [Amazon Elastic Kubernetes Service](<https://devfeed.tech/topics/amazon-elastic-kubernetes-service.md>), [Amazon OpenSearch Service](<https://devfeed.tech/topics/amazon-opensearch-service.md>)

Tags: [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-cloudwatch](<https://devfeed.tech/tags/amazon-cloudwatch.md>), [amazon-s3-tables](<https://devfeed.tech/tags/amazon-s3-tables.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-iam-identity-center](<https://devfeed.tech/tags/aws-iam-identity-center.md>), [bedrock](<https://devfeed.tech/tags/bedrock.md>), [cloud-networking](<https://devfeed.tech/tags/cloud-networking.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [inference](<https://devfeed.tech/tags/inference.md>), [observability](<https://devfeed.tech/tags/observability.md>), [openai](<https://devfeed.tech/tags/openai.md>), [prometheus](<https://devfeed.tech/tags/prometheus.md>), [week-in-review](<https://devfeed.tech/tags/week-in-review.md>)

### AI overview

AWS weekly roundup covering lower Amazon Bedrock pricing for OpenAI GPT-5.6 models, managed Prometheus metric collection in CloudWatch, and Oracle Cloud Infrastructure connectivity through AWS Interconnect.

### Source excerpt

Last week I had the joy of participating in Amazon's "Bring Your Kids to Work Day" with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to [...]

## NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage

DevFeed: [NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage](<https://devfeed.tech/articles/nvidia-vera-storage-benchmarks-faster-encryption-compression-integrity-checking-and-recovery-for-ai-native-storage-6914.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-vera-storage-benchmarks-faster-encryption-compression-integrity-checking-and-recovery-for-ai-native-storage/>)

Author: Elizabeth Goodman

Published: 2026-08-03T16:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Encryption](<https://devfeed.tech/topics/encryption.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Security](<https://devfeed.tech/topics/security.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [bluefield-dpu](<https://devfeed.tech/tags/bluefield-dpu.md>), [cloud-apis](<https://devfeed.tech/tags/cloud-apis.md>), [cloud-networking](<https://devfeed.tech/tags/cloud-networking.md>), [cloud-services](<https://devfeed.tech/tags/cloud-services.md>), [compression](<https://devfeed.tech/tags/compression.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [doca](<https://devfeed.tech/tags/doca.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [featured](<https://devfeed.tech/tags/featured.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-vera](<https://devfeed.tech/tags/nvidia-vera.md>), [performance](<https://devfeed.tech/tags/performance.md>), [security](<https://devfeed.tech/tags/security.md>), [software-defined-data-center](<https://devfeed.tech/tags/software-defined-data-center.md>), [storage](<https://devfeed.tech/tags/storage.md>), [systems](<https://devfeed.tech/tags/systems.md>), [top-stories](<https://devfeed.tech/tags/top-stories.md>), [vera-cpu](<https://devfeed.tech/tags/vera-cpu.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>), [vera-rubin-nvl72](<https://devfeed.tech/tags/vera-rubin-nvl72.md>)

### AI overview

NVIDIA presents benchmark results for the Vera BlueField-4 STX Storage Processor in AI-native storage workloads. The results describe faster encryption and decryption, recovery, integrity checking, compression and decompression, and multi-stage storage processing than an x86 CPU, with lower CPU and power overhead.

### Source excerpt

Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,...

## Transitioning into Networking, 2025 Edition

DevFeed: [Transitioning into Networking, 2025 Edition](<https://devfeed.tech/articles/transitioning-into-networking-2025-edition-11175.md>)

Original publisher: [Read original article](<https://blog.ipspace.net/2025/04/transition-into-networking/>)

Published: 2025-04-04T06:20:00Z

Content type: opinion

Language: en

Sources: [ipSpace.net blog](<https://devfeed.tech/sources/ipspace-net-blog.md>)

Topics: [networking](<https://devfeed.tech/topics/networking.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Cloud Networking](<https://devfeed.tech/topics/cloud-networking.md>), [Automation](<https://devfeed.tech/topics/automation.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [certifications](<https://devfeed.tech/tags/certifications.md>), [cloud-networking](<https://devfeed.tech/tags/cloud-networking.md>), [network-automation](<https://devfeed.tech/tags/network-automation.md>), [networking](<https://devfeed.tech/tags/networking.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

A systems engineer asks how to transition into network engineering or architecture. The article recommends building on networking fundamentals, learning cloud networking and automation, researching target organizations, using certifications strategically, and practicing with free or open-source labs and tools.

### Source excerpt

Elmer sent me the following question: I've been working in systems engineering (Linux, virtualization, infrastructure ops) and am considering shifting toward network engineering or architecture. I got my CCNA years ago and started CCNP but didn't continue. I'd really appreciate any thoughts you might have on how someone with my background could best make that transition today, especially with how things are evolving around automation and the cloud. I keep answering a variant of this question every other year or so (2019, 2021, 2023, 2024). I guess it's time for another answer, so here we go. Read more ...