# multi-cloud Published articles for multi-cloud. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Kubernetes Multi-Cluster Project Karmada Reaches CNCF Graduation DevFeed: [Kubernetes Multi-Cluster Project Karmada Reaches CNCF Graduation]() Original publisher: [Read original article]() Author: Claudio Masolo Published: 2026-09-17T10:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Kubernetes](), [Orchestration](), [Cloud](), [Computing]() Tags: [ai-architecture](), [cloud](), [cluster](), [clusters](), [cncf](), [devops](), [karmada-kubernetes-cncf](), [kubernetes](), [multi-cloud](), [news](), [orchestration](), [project](), [release]() ### AI overview The CNCF announced that Karmada, a multi-cluster and multi-cloud Kubernetes orchestration project, graduated to its highest maturity tier. The announcement coincided with Karmada v1.19, which improves multi-component scheduling for AI training jobs and makes priority-based scheduling available by default in Beta. ### Source excerpt The Cloud Native Computing Foundation (CNCF) announced on September 2026 that Karmada, a multi-cluster and multi-cloud Kubernetes orchestration project, has graduated. This multi-cluster and multi-cloud Kubernetes orchestration project reached CNCF's highest maturity tier. By Claudio Masolo ## NVIDIA to Acquire Hugging Face for $12.93B, Pledges the Platform Stays Open and Hardware Neutral DevFeed: [NVIDIA to Acquire Hugging Face for $12.93B, Pledges the Platform Stays Open and Hardware Neutral]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-04T18:01:12Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [hugging face](), [Nvidia](), [AI Development](), [AI Infrastructure](), [Application Development](), [datasets](), [Cloud](), [Deployment](), [model-deployment](), [inference-providers]() Tags: [ai](), [ai-infrastructure](), [application-development](), [cloud](), [creators](), [datasets](), [deployment](), [enterprise](), [hugging-face](), [inference-providers](), [models](), [multi-cloud](), [nvidia](), [platforms]() ### AI overview NVIDIA has agreed to acquire Hugging Face for $12.93 billion, with plans to expand its infrastructure and AI development capabilities. Hugging Face is expected to retain its brand and operate as an open, hardware-neutral platform supporting models, datasets, applications, multiple clouds, accelerators, and inference providers. ### Source excerpt NVIDIA has agreed to acquire Hugging Face for $12.93 billion, a transaction that would extend the company's position from accelerated compute and AI infrastructure into one of the industry's most widely used platforms for open models, datasets, and application development. In an announcement published on the NVIDIA website, CEO Jensen Huang said the company plans The post NVIDIA to Acquire Hugging Face for $12.93B, Pledges the Platform Stays Open and Hardware Neutral appeared first on StorageReview.com. ## 10 FinOps tools platform engineers should evaluate for 2026 DevFeed: [10 FinOps tools platform engineers should evaluate for 2026]() Original publisher: [Read original article]() Author: Ajay Chankramath Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [cloud cost management](), [finops](), [Platform Engineering](), [Kubernetes](), [GitOps](), [Infrastructure as code](), [Cloud](), [Provisioning]() Tags: [2026](), [cloud](), [cost](), [developer-experience](), [finops](), [iac](), [infrastructure](), [kubernetes](), [management](), [multi-cloud](), [optimization](), [platform](), [platform-engineering]() ### AI overview A guide to evaluating 10 FinOps platforms for platform engineering teams in 2026. It emphasizes Kubernetes-native cost attribution, API-first architecture, GitOps and IaC integration, developer experience, and the 4Rs framework: Report, Recommend, Remediate, and Retain. ### Source excerpt Evaluate 10 FinOps tools platform engineers need in 2026 for Kubernetes-native, multi-cloud cost optimization. Focus on API-first architecture, GitOps, and the 4Rs framework. ## Terraform vs OpenTofu: Which IaC tool fits your platform strategy? DevFeed: [Terraform vs OpenTofu: Which IaC tool fits your platform strategy?]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Infrastructure as code](), [Terraform](), [Platform Engineering](), [Provisioning](), [Open Source](), [configuration](), [Encryption]() Tags: [governance](), [hashicorp](), [iac](), [infrastructure-as-code](), [multi-cloud](), [open-source](), [opentofu](), [orchestration](), [platform-engineering](), [provisioning](), [strategy](), [terraform]() ### AI overview This guide compares Terraform and OpenTofu as infrastructure-as-code tools. It explains how HashiCorp's 2023 license change led to OpenTofu's creation as a Linux Foundation-governed fork, and frames the choice around platform engineering strategy, governance, licensing, state encryption, and long-term risk. ### Source excerpt HashiCorp's license change sparked the Terraform vs OpenTofu debate. Compare governance, licensing (BSL vs MPL 2.0), state encryption, and strategic fit for your platform engineering strategy. ## What Is Multi-Cloud? DevFeed: [What Is Multi-Cloud?]() Original publisher: [Read original article]() Author: Ryan Kollist Published: 2026-06-23T16:45:27Z Content type: tutorial Language: en Sources: [Isovalent - The latest articles covering eBPF-based Networking, Observability, and Security]() Topics: [Cloud Architecture](), [cloud-infrastructure](), [Cilium](), [networking](), [Security]() Tags: [architecture](), [cilium](), [cloud](), [cloud-architecture](), [cloud-infrastructure](), [infrastructure](), [multi-cloud](), [networking](), [security](), [what-is-multicloud](), [what-is-multicloud-architecture](), [what-is-multicloud-networking](), [what-is-multicloud-security](), [what-is-the-difference-between-multicloud-and-hybrid-cloud]() ### AI overview This article explains multi-cloud architecture, its importance, and how Isovalent Cilium supports a consistent networking and security operational model across different cloud infrastructures. ### Source excerpt Learn what makes a multi-cloud architecture, why it's important and how Isovalent Cilium enables a consistent networking and security operational model across any cloud infrastructure. ## Temporal product updates and integrations in April DevFeed: [Temporal product updates and integrations in April]() Original publisher: [Read original article]() Author: Temporal Technologies Published: 2026-04-28T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [releases](), [SDKs](), [Replication](), [SIEM, Security, Observability](), [distributed-systems](), [cursor](), [Amazon S3](), [Google](), [.NET](), [OpenAI](), [Python](), [TypeScript]() Tags: [amazon-s3](), [announcements](), [blog](), [blog-post](), [cloud](), [cursor](), [integrations](), [multi-cloud](), [observability](), [product-updates](), [updates]() ### AI overview Temporal's April digest summarizes product updates and integrations, including OpenAI Agents SDK and Google ADK integrations, replication features, observability metrics, external storage, and a Cursor plugin. ### Source excerpt Highlights from April include new product updates, integrations, and builder spotlights from folks pushing Temporal in creative directions. ## Why these three fintech companies scaled with distributed SQL DevFeed: [Why these three fintech companies scaled with distributed SQL]() Original publisher: [Read original article]() Author: Becca Weng Published: 2026-02-02T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Scalability](), [SQL](), [Microservices](), [migration](), [Architecture & Design](), [MySQL](), [PostgreSQL]() Tags: [architecture](), [backend](), [caching](), [cloud](), [clusters](), [cockroachdb](), [compatibility](), [compliance](), [databases](), [distributed](), [financial](), [fintech](), [growth](), [india](), [migration](), [multi-cloud](), [mysql](), [payments](), [scale](), [sql]() ### AI overview This article describes how fintech platforms face growing transaction volumes, tighter regulations, and demanding financial workloads. Leaders from Groww, Global Payments, and Yubi explain their experiences, while the detailed case study of Groww covers its move from MySQL to CockroachDB to support horizontal scalability, multi-region resiliency, transactional guarantees, compliance, and growth with minimal application changes. ### Source excerpt From retail investing and global card payments to large-scale lending, fintech platforms are being pushed to their limits. User expectations are rising, regulations are tightening, and transaction volumes are growing faster and more unpredictably than ever before. Across these domains, one theme is emerging clearly: traditional databases struggle to keep up with modern financial workloads at scale. ## How Shopify uses SkyPilot to route machine-learning workloads across multi-cloud GPU clusters DevFeed: [How Shopify uses SkyPilot to route machine-learning workloads across multi-cloud GPU clusters]() Original publisher: [Read original article]() Author: Javier Moreno Published: 2026-01-26T14:49:55Z Content type: article Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [skypilot](), [Cloud](), [Machine learning](), [InfiniBand]() Tags: [cloud](), [development](), [distributed-training](), [infiniband](), [kubernetes](), [kubernetes-clusters](), [multi-cloud](), [open-source](), [shopify](), [skypilot](), [yaml]() ### AI overview Shopify describes using SkyPilot to run machine-learning workloads across existing Kubernetes clusters on multiple clouds. A custom plugin routes jobs based on requested hardware and workload needs, while supporting multi-team management, cost tracking, fair scheduling, and policy enforcement. ### Source excerpt GPUs are annoying. Shopify uses SkyPilot to make them less so: one YAML file, multiple clouds, clean development ergonomics. ## How the EU Data Act Is Making Multi-Cloud Affordable DevFeed: [How the EU Data Act Is Making Multi-Cloud Affordable]() Original publisher: [Read original article]() Author: Ankur Raina Published: 2025-12-09T00:00:00Z Content type: opinion Language: en Sources: [Cockroach Labs]() Topics: [Cloud](), [data](), [Amazon Web Services](), [Google]() Tags: [availability](), [aws](), [cloud](), [data](), [datacenter](), [eu](), [google](), [incident](), [microsoft](), [multi-cloud](), [outages](), [services]() ### AI overview The article argues that relying on a single cloud provider creates outage risks and that spreading data across clouds can improve resilience. It discusses cost and complexity barriers, including data egress fees, and says the EU Data Act may make switching providers easier. ### Source excerpt Every major cloud hyperscaler is having global impact outages. The 2024 Microsoft incident happened due to a bug in Crowdstrike. Google Cloud failed this summer because of a small configuration issue. AWS's most popular region US-East-1 was impacted in October 2025 due to a small change in one of their services. In each case, thousands of organizations worldwide saw their applications crash. ## Scaling Kubernetes at Mercado Libre with Karpenter and GitOps DevFeed: [Scaling Kubernetes at Mercado Libre with Karpenter and GitOps]() Original publisher: [Read original article]() Author: Juliano Marcos Martins Published: 2025-10-28T13:10:37Z Content type: article Language: en Sources: [Mercado Libre Tech]() Topics: [GitOps](), [Kubernetes](), [Automation](), [Provisioning](), [Cloud Native Operations](), [Infrastructure as code](), [Microservice]() Tags: [automation](), [code](), [devops](), [gitops](), [infrastructure-as-code](), [kubernetes](), [microservices](), [multi-cloud](), [nodepool](), [provisioning](), [scalability]() ### AI overview Mercado Libre describes how it uses Kubernetes, Karpenter, and GitOps to manage a large multi-cloud environment. The article explains how declarative automation and Karpenter's on-demand node provisioning address workload orchestration, capacity alignment, standardization, and operational scale. ### Source excerpt Mercado Libre, Latin America's largest digital ecosystem, runs one of the most demanding and scalable infrastructures in the Southern Hemisphere. Our operation at scale 35,000 active microservices Over 20,000 technology professionals Approximately 30,000 daily deployments Around 120,000 pull requests per day Traffic peaks of 15 million requests per second In this fast-paced environment, efficient workload orchestration across multiple cloud providers is crucial. Kubernetes has become our standard for container management and is the foundation of our multi-cloud strategy, powering our internal compute engine. You can see more details here. This article explores how we've used Karpenter and GitOps to evolve our ecosystem, achieving automated provisioning, declarative governance, and large-scale cloud-native operations. The challenge of scale With tens of thousands of microservices, ticket-driven workflows and manual changes quickly became bottlenecks, slowing delivery and increasing operational risk. Even with the evolution of Infrastructure as Code (IaC), new challenges emerged: Explosive diversity of templates and pipelines State drift and lack of standardization Overloaded Platform/DevOps teams with repetitive requests In response, we evolved toward declarative, auditable, and fully automated practices, guided by GitOps, continuous automation, and internal infrastructure abstractions. Karpenter: What it is and why it changed the game Karpenter is an open-source, Kubernetes-native provisioning engine designed to deliver automatic scalability, cost optimization, and high flexibility in managing a cluster's data plane (compute nodes). How it works at a high level Monitors the Kubernetes scheduler for pending pods caused by insufficient compute resources. Analyzes each workload's requirements (CPU, memory, architecture, affinities, labels, tolerations, and more). Provisions, scales, or terminates nodes on demand, automatically selecting the ideal instance type, profile ## Building the Future of On-Call: Why Velocity Moved from RDS to Neon DevFeed: [Building the Future of On-Call: Why Velocity Moved from RDS to Neon]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2025-04-01T00:36:28Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Artificial Intelligence](), [Databases](), [incident](), [Cloud](), [Scalability](), [Automation](), [Provisioning](), [Serverless](), [Architecture & Design](), [Amazon Web Services](), [Azure]() Tags: [agentic-ai](), [ai](), [automation](), [case-studies](), [cloud](), [databases](), [debug](), [development](), [incident](), [incident-response](), [multi-cloud](), [provisioning](), [scalability](), [scale](), [serverless]() ### AI overview Velocity is building an AI-powered production engineer that uses agentic AI to surface evidence, correlate alerts, and help software teams investigate and resolve production incidents faster. The company moved from RDS to Neon for a serverless, multi-cloud database architecture supporting AWS and Azure, reducing manual provisioning and infrastructure management. Neon branching also provides lightweight database clones for testing schema changes, debugging, and validating migrations safely. ### Source excerpt "We used RDS before, but the cost and manual effort of scaling it up and down was a pain. I also wanted one database solution across clouds--and Neon gave us that" (Tal Kain, Founder and CEO at Velocity) When production goes sideways at 2 a.m., the last thing an engineer wants is... ## Announcing Chainguard VMs: Minimal, Zero-CVE Container Host Images DevFeed: [Announcing Chainguard VMs: Minimal, Zero-CVE Container Host Images]() Original publisher: [Read original article]() Published: 2025-03-25T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [cloud-infrastructure](), [Containers](), [Security](), [Vulnerabilities](), [supply-chain-security](), [Linux]() Tags: [announce](), [blog](), [blog-post](), [chainguard](), [chainguard-vms](), [common-vulnerabilities-and-exposures](), [container](), [container-hosts](), [cve](), [images](), [infrastructure](), [kernel](), [multi-cloud](), [operating-systems](), [security](), [software-supply-chain](), [virtual-machines]() ### AI overview Chainguard VMs has entered Early Access as a catalog of guarded, minimal, zero-CVE container host images for ephemeral cloud workloads. The images are built from source, include only required container-host components, and are designed to reduce attack surface and simplify vulnerability remediation. ### Source excerpt Chainguard VMs is a catalog of guarded, minimal, zero-CVE container host images that is now in Early Access. ## Teleport 17 Adds Scalable Infrastructure Access and AWS IAM Identity Center Integration DevFeed: [Teleport 17 Adds Scalable Infrastructure Access and AWS IAM Identity Center Integration]() Original publisher: [Read original article]() Author: eddie@goteleport.com (Eddie Glenn) Published: 2025-01-14T00:00:00Z Content type: release Language: en Sources: [Teleport]() Topics: [Scalability](), [Security](), [IAM Identity Center](), [Resilience](), [Azure](), [Google Cloud Platform (GCP)](), [Automation]() Tags: [aws-iam-identity-center](), [azure](), [google-cloud](), [improvements](), [infrastructure](), [least-privilege](), [multi-cloud](), [permissions](), [policies](), [release](), [scalability](), [security]() ### AI overview Teleport 17 is a release focused on improving scalable, secure, and resilient infrastructure access. It adds AWS IAM Identity Center integration, supports access management across multiple AWS accounts, and introduces nested access lists with hierarchical and inherited privileges. ### Source excerpt Teleport 17 is a major release enhancing scalability, security, and resilience. Explore new features, improvements, breaking changes, and deprecations. ## Temporal Cloud expands from AWS to Google Cloud as a multi-cloud platform DevFeed: [Temporal Cloud expands from AWS to Google Cloud as a multi-cloud platform]() Original publisher: [Read original article]() Author: Raphaël Beamonte Published: 2024-10-28T04:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Cloud](), [reliability](), [Amazon Web Services](), [Google Cloud Platform (GCP)](), [Software as a service](), [Scalability](), [distributed-systems]() Tags: [aws](), [google-cloud](), [multi-cloud](), [product-news](), [reliability](), [scalability](), [temporal]() ### AI overview Temporal describes how Temporal Cloud expanded from AWS to Google Cloud to become a multi-cloud platform. The article discusses cloud-agnostic workflows, infrastructure challenges, and reasons SaaS providers adopt multi-cloud strategies, including flexibility, compliance, disaster recovery, and reduced provider dependency. ### Source excerpt Learn how Temporal Cloud expands to a multi-cloud platform, offering enhanced flexibility and scalability for diverse cloud environments. ## Neon is coming to Azure DevFeed: [Neon is coming to Azure]() Original publisher: [Read original article]() Author: Nikita Shamgunov Published: 2024-08-07T13:09:53Z Content type: news Language: en Sources: [Blog -- Neon Docs]() Topics: [Azure](), [Cloud](), [Microsoft](), [Serverless](), [Database](), [Retrieval Augmented Generation (RAG)](), [Security, Privacy and Abuse Prevention]() Tags: [azure](), [azure-marketplace](), [cloud](), [company](), [data-privacy](), [microsoft](), [multi-cloud](), [pgvector](), [postgres](), [rag](), [serverless]() ### AI overview Neon announces its expansion to Azure, supported by a $25 million strategic investment led by Microsoft's M12 venture fund. The article describes Neon's serverless Postgres platform, its multi-cloud availability, integration with Azure, and use with pgvector for vector storage and RAG workloads. It also explains Azure access through the Neon Console or Azure Marketplace. ### Source excerpt It's official: Neon is coming to Azure. This expansion is backed by a $25M strategic investment led by M12, Microsoft's Venture Fund. Multi-cloud has always been a part of our vision at Neon. We want to help developers ship faster with Postgres on Neon, regardless of which cloud... ## Handling third-party provider outages DevFeed: [Handling third-party provider outages]() Original publisher: [Read original article]() Author: Lisa Karlin Curtis Published: 2022-06-30T00:00:00Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [Availability](), [Cloud](), [Amazon Web Services](), [Cloudflare](), [Azure](), [Google]() Tags: [availability](), [aws](), [azure](), [cloud](), [cloudflare](), [complexity](), [google](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [infrastructure](), [internet](), [multi-cloud](), [outage](), [outages](), [post-mortem](), [slack-incident]() ### AI overview The article examines how third-party provider outages affect service availability. It explains that dependencies generally need much higher availability than the systems that rely on them, while noting that pursuing extreme reliability can be disproportionately expensive. It presents multi-cloud architecture as a way to withstand a complete cloud-provider outage, but emphasizes its cost and added complexity. ### Source excerpt What do you do when Cloudflare goes down? Or AWS? ## Introducing multi-cloud support for Apollo Uplink DevFeed: [Introducing multi-cloud support for Apollo Uplink]() Original publisher: [Read original article]() Author: Dave Johnson Published: 2022-05-04T09:50:24Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [Cloud](), [GraphQL](), [gateway](), [Amazon Web Services](), [Google Cloud Platform (GCP)]() Tags: [announcement](), [aws](), [cloud](), [gateway](), [gcp](), [graphql](), [multi-cloud](), [schema](), [upgrade]() ### AI overview Apollo Uplink now supports a multi-cloud setup using independent endpoints on Google Cloud and Amazon Web Services. Apollo Gateway alternates between the endpoints, retries the other endpoint after a failed request, and falls back to a previously fetched schema if both are unavailable. Multi-cloud support was introduced in package version 0.36.0. ### Source excerpt If you're running services in the cloud, what do you do when your cloud provider goes down? Even if you don't follow the news, you know that this is something that happens a little too often. The way to protect your services is to make sure you are not reliant on only one cloud provider. You can work to make your own services multi-cloud, and you should, but of course you also need to make sure that the services you rely on are also multi-cloud. ## ionir Report Finds 60% of Companies are Running Stateful Applications on Kubernetes DevFeed: [ionir Report Finds 60% of Companies are Running Stateful Applications on Kubernetes]() Original publisher: [Read original article]() Author: ionir Team Published: 2022-03-16T12:00:25Z Content type: release Language: en Sources: [ionir]() Topics: [Kubernetes](), [Persistence](), [Cloud](), [Database](), [DevOps](), [data]() Tags: [availability](), [cloud](), [data](), [database](), [devops](), [kubernetes](), [multi-cloud](), [persistence](), [press-releases](), [report](), [stateful](), [vendor-lock-in]() ### AI overview ionir reports that 60% of survey respondents are running stateful applications on Kubernetes, while 50% of respondents not currently doing so plan to adopt them within 12 months. The survey identifies agility, portability, flexibility, DevOps acceleration, and multi-cloud support as key drivers. ### Source excerpt ionir, a leader in Kubernetes Data Services, announced that 60% of respondents are running stateful applications on Kubernetes, and of those who aren't already, 50% plan to do so in the next 12 months. That's among the findings of The Future of Stateful Application on Kubernetes report, available on the ionir website The post ionir Report Finds 60% of Companies are Running Stateful Applications on Kubernetes appeared first on ionir. ## Published Azure Arc-Enabled Data Services Revealed - Second Edition DevFeed: [Published Azure Arc-Enabled Data Services Revealed - Second Edition]() Original publisher: [Read original article]() Author: Anthony Nocentino Published: 2022-02-26T00:00:00Z Content type: release Language: en Sources: [Kubernetes on Anthony Nocentino's Blog]() Topics: [Azure](), [Cloud](), [sql-server](), [datacenter]() Tags: [arc](), [azure](), [azure-arc](), [backups](), [data](), [hybrid-cloud](), [kubernetes](), [management](), [multi-cloud](), [sql-server]() ### AI overview The authors announce the publication of the second edition of Azure Arc-Enabled Data Services Revealed. The book covers deploying and managing Azure Arc-enabled data services, including SQL Server and PostgreSQL databases, across on-premises, corporate data centers, and cloud environments. ### Source excerpt I'm super proud to announce that Ben E. Weissman and I have published Azure Arc-Enabled Data Services Revealed - Second Edition available now at Apress and your favorite online booksellers! Buy the book now or keep reading below if you need to be more convinced :) A couple of notes about the book first, I enjoyed working with this bleeding-edge tech and collaborating with the SQL Server Engineering Team at Microsoft on this. I want to call out the support from the Azure Arc Enabled Data Services Program Manager at Microsoft, Jes Schultz. Thanks for your support and a fantastic forward. I also want to call out my co-author and friend, Ben; you are an excellent writer. Thank you for including me in this adventure! ## The Difference between Hybrid Cloud vs Multicloud DevFeed: [The Difference between Hybrid Cloud vs Multicloud]() Original publisher: [Read original article]() Author: info@goteleport.com (HD) Published: 2019-09-23T00:00:00Z Content type: article Language: en Sources: [Teleport]() Topics: [Cloud](), [cloud-computing](), [on-prem](), [Scalability](), [legacy](), [consistency]() Tags: [cloud](), [cloud-computing](), [consistency](), [hybrid-cloud](), [legacy](), [multi-cloud](), [on-prem](), [scalability]() ### AI overview This article introduces hybrid cloud computing as a way to combine public cloud resources with on-premises compute. It discusses why organizations adopted this approach, including concerns about budget, governance, security, performance, legacy systems, compliance, and application quality, while its title frames a comparison with multicloud. ### Source excerpt Hybrid cloud had been the talk of the town, but now it's about multi-cloud. What happened? ## How Shamrock transacts billions of dollars with Serverless Framework Enterprise DevFeed: [How Shamrock transacts billions of dollars with Serverless Framework Enterprise]() Original publisher: [Read original article]() Author: Andrea Passwater Published: 2019-02-26T00:00:00Z Content type: article Language: en Sources: [Serverless Blog]() Topics: [serverless framework](), [Transactions](), [Amazon Web Services](), [Google](), [Cloud]() Tags: [aws](), [aws-lambda](), [cloud](), [cloud-computing](), [customers](), [enterprise](), [faas](), [function-as-a-service](), [google](), [infrastructure-as-code](), [invoicing](), [multi-cloud](), [serverless](), [serverless-architecture](), [serverless-framework](), [transactions]() ### AI overview The article describes Shamrock's serverless invoicing system, which handles billions of dollars in transactions without active scaling. It also highlights Shamrock's multi-cloud approach using AWS and Google. ### Source excerpt See how Shamrock's serverless invoicing system handles billions of dollars of transactions with no active scaling required. Plus: their multi-cloud approach with AWS and Google. ## The State of Serverless Multi-cloud DevFeed: [The State of Serverless Multi-cloud]() Original publisher: [Read original article]() Author: Andrea Passwater Published: 2017-11-06T00:00:00Z Content type: opinion Language: en Sources: [Serverless Blog]() Topics: [Serverless](), [Cloud]() Tags: [aws](), [aws-lambda](), [cloud](), [cloud-computing](), [faas](), [function-as-a-service](), [infrastructure-as-code](), [insights](), [multi-cloud](), [serverless](), [serverless-architecture](), [serverless-framework]() ### AI overview A frank discussion of the pros, cons, and considerations involved in adopting a multi-cloud strategy for serverless applications. ### Source excerpt To multi-cloud, or not to multi-cloud? A frank discussion on the pros, cons and considerations. ## Scaling Managed Services in the Cloud Era DevFeed: [Scaling Managed Services in the Cloud Era]() Original publisher: [Read original article]() Author: taylor@goteleport.com (Taylor Wakefield) Published: 2017-07-17T00:00:00Z Content type: opinion Language: en Sources: [Teleport]() Topics: [Cloud](), [Infrastructure as a Service (IaaS)](), [Software as a Service (SaaS)](), [cloud-infrastructure](), [private cloud]() Tags: [cloud](), [cloud-infrastructure](), [cloud-services](), [complexity](), [infrastructure-as-a-service-iaas](), [maintenance](), [managed-services](), [multi-cloud](), [private-cloud](), [providers](), [security](), [software-as-a-service-saas]() ### AI overview This article examines how the adoption of IaaS and SaaS, including hybrid and private cloud deployments, changes the challenges facing IT departments, application developers, and Managed Service Providers. It highlights trade-offs involving data control, security, service dispersion, procurement tracking, and maintenance, and argues that MSPs must adapt their services to remain relevant. ### Source excerpt We review the challenges MSPs face in a hybrid, multi-cloud world.