# VPC Amazon VPC is an AWS service for defining logically isolated virtual networks and launching AWS resources in them. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Cilium 1.20: Gateway API ExternalAuth, TCPRoute/UDPRoute, ENI IPAM for IPv6, and more DevFeed: [Cilium 1.20: Gateway API ExternalAuth, TCPRoute/UDPRoute, ENI IPAM for IPv6, and more]() Original publisher: [Read original article]() Author: Nico Vibert and Donia Chaiehloudj, Cilium Published: 2026-09-14T10:45:49Z Content type: article Language: en Sources: [Cloud Native Computing Foundation]() Topics: [Cilium](), [Open Source](), [API](), [networking](), [Kubernetes](), [Amazon Web Services](), [eBPF](), [VPC](), [nginx]() Tags: [2026](), [api](), [authentication](), [authorization](), [aws](), [blog](), [cilium](), [cloud](), [cni](), [ebpf](), [google](), [ingress-nginx](), [ipv4](), [ipv6](), [kubernetes](), [microsoft](), [network](), [networking](), [nginx](), [open-source](), [release]() ### AI overview Cilium 1.20 expands Gateway API support with ExternalAuth, CORS filters, ListenerSets, TCPRoute, and UDPRoute. The release also introduces extensible datapath plugins, advances networking standardization with Kubernetes, and adds beta IPv6 support for AWS ENI IPAM. ### Source excerpt Cilium 1.20, the second major open source Cilium release of 2026 after Cilium 1.19, is finally here. Three themes stand out in this release: Thank you to every contributor, reviewer and maintainer who made Cilium 1.20... ## Extend your data perimeter to the AWS Management Console with Private Access DevFeed: [Extend your data perimeter to the AWS Management Console with Private Access]() Original publisher: [Read original article]() Author: Madhur Kulkarni Published: 2026-08-28T18:53:57Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [AWS Management Console](), [VPC](), [network security](), [Authentication](), [Amazon Web Services](), [Virtual Private Network](), [Amazon EC2](), [Amazon WorkSpaces]() Tags: [advanced-300](), [authentication](), [aws](), [aws-management-console](), [aws-organizations](), [iam](), [network](), [network-security](), [private-access](), [routing](), [security](), [security-blog](), [security-identity-compliance](), [technical-how-to](), [vpc]() ### AI overview AWS Management Console Private Access is generally available with support for VPCs without internet connectivity. Supported console traffic, including authentication flows, static assets, console-only APIs, and AWS service API calls, can route through VPC endpoints, eliminating the need for an internet gateway, NAT gateway, or public-internet route. ### Source excerpt Organizations in regulated industries such as financial services, government, defense, and healthcare restrict their sensitive workloads to isolated network environments with no access to the public internet. Until now, customers could restrict AWS Management Console access to authorized AWS accounts and corporate networks, but the console itself required internet connectivity. This was creating tension between [...] ## Deploying IPv6-first EKS on AWS: What Still Doesn't Work, and What It Saves DevFeed: [Deploying IPv6-first EKS on AWS: What Still Doesn't Work, and What It Saves]() Original publisher: [Read original article]() Author: Spiro Stathakis Published: 2026-08-14T08:57:28Z Content type: article Language: en Sources: [RIPE Labs]() Topics: [Amazon Elastic Kubernetes Service](), [Amazon Web Services](), [VPC](), [networking](), [cloud-infrastructure](), [Kubernetes]() Tags: [2026](), [amazon](), [amazon-elastic-kubernetes-service](), [aws](), [cni](), [competition](), [cost](), [ip](), [ipv4](), [ipv6](), [kubernetes](), [nat](), [networking](), [networks](), [vpc]() ### AI overview A field report on deploying an IPv6-first Amazon Elastic Kubernetes Service platform on AWS. It explains how IPv6 pods, VPC networking, and an egress-only Internet gateway reduce dependence on NAT gateways and public IPv4 addresses, while legacy IPv4-only dependencies such as databases, payment APIs, and container registries still impose compatibility requirements and costs. ### Source excerpt In this field report on IPv6-first Amazon Elastic Kubernetes Service (EKS), the isp6 team shares which dependencies still drag IPv4 back in, what they learnt from /28s, and why the saving is large but not automatic. ## A decade of mathematical certainty: Reflections on the Automated Reasoning Group DevFeed: [A decade of mathematical certainty: Reflections on the Automated Reasoning Group]() Original publisher: [Read original article]() Author: Byron Cook Published: 2026-08-11T16:22:19Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [Automated reasoning](), [Formal verification](), [Math and Logic](), [systems](), [Amazon Web Services](), [VPC](), [network security](), [Security](), [AWS IAM](), [Amazon S3](), [Cloud](), [amazon]() Tags: [agentic-ai](), [amazon](), [amazon-web-services-aws](), [automated-reasoning](), [aws](), [compliance](), [formal-verification](), [network-security](), [security](), [security-privacy-and-abuse-prevention](), [vpc](), [vulnerabilities]() ### AI overview Amazon's Automated Reasoning Group reflects on a decade of applying mathematical logic, formal verification, and program analysis to AWS security and reliability. The article describes how research projects became production systems, including Tiros for VPC and network analysis and Zelkova for analyzing policies, S3 Block Public Access, and IAM Access Analyzer. ### Source excerpt Ten years after we founded the Automated Reasoning Group, mathematical logic has moved from academic research into production services that secure millions of customer workloads -- demonstrating that systems can be provably correct, not just probably correct. ## Migrate CloudFormation to Pulumi with Discovered Stacks DevFeed: [Migrate CloudFormation to Pulumi with Discovered Stacks]() Original publisher: [Read original article]() Author: Alejandro Cotroneo Published: 2026-07-30T00:00:00Z Content type: tutorial Language: en Sources: [Pulumi]() Topics: [Infrastructure as code](), [AWS CloudFormation](), [migration](), [Amazon Web Services](), [VPC](), [Amazon S3](), [DynamoDB](), [AWS IAM]() Tags: [aws](), [cloudformation](), [dynamodb](), [git](), [iac](), [iam](), [import](), [insights](), [kms](), [migration](), [pulumi](), [pulumi-cloud](), [pulumi-neo](), [s3](), [tutorials](), [vpc]() ### AI overview A tutorial shows how to migrate a 61-resource AWS CloudFormation stack to Pulumi using Discovered Stacks in Pulumi Cloud. It explains how to find the stack, review migration status, start the migration, resolve unmatched resources, and verify the result with a zero-diff pulumi preview. ### Source excerpt With Discovered Stacks, Pulumi Cloud does the bookkeeping for a CloudFormation migration: every resource in the stack gets an explicit migration status, and the migration is done when the code provably matches the cloud. In this tutorial, we take one real CloudFormation stack from discovered to migrated and managed by Pulumi IaC, end to end. What we're migrating Our example is payments-api, a CloudFormation stack with 61 resources: a VPC, an Aurora ledger database behind an RDS Proxy, an assets S3 bucket, a DynamoDB ledger table, a Kinesis payment-events pipeline, and the IAM roles, KMS keys, and secrets that wire them together. The plan has five steps: Find the stack in Pulumi Cloud. Review the migration breakdown at a glance. Start the migration. Resolve the stragglers, so every resource is accounted for. Confirm the quality gate: a zero-diff pulumi preview. We'll use Pulumi Neo to do the heavy lifting, but nothing here depends on it. The same flow works with your own coding agent or entirely by hand, because migration status is derived from actual stack state -- however the work gets done, the console shows the same progress. Step 1: Find your stack in Pulumi Cloud Discovered Stacks builds on Discovery, so the only prerequisite is a scanned cloud account -- the AWS account holding your CloudFormation stacks. Once a scan has run, open the Stacks page and turn on Show Discovered Stacks. Your CloudFormation stacks appear alongside your Pulumi stacks. The project name comes from the CloudFormation stack (payments-api), and the stack name encodes the account and region it came from, so the same template deployed to two regions shows up as two distinct discovered stacks. Step 2: Plan the migration at a glance Open the discovered stack's Migration tab. It lays out all 61 resources of payments-api by status, so you can visualize the migration before touching anything: 54 Ready: mapped to a Pulumi type and confirmed to exist -- importable right now. 2 Not found: mapped, but ## Connect OpenSearch to private ML endpoints DevFeed: [Connect OpenSearch to private ML endpoints]() Original publisher: [Read original article]() Author: Nathalie Jonathan Published: 2026-07-28T15:00:41Z Content type: tutorial Language: en Sources: [OpenSearch]() Topics: [Amazon OpenSearch Service](), [network security](), [VPC](), [inference-endpoints](), [Security](), [AWS IAM](), [Latency](), [Self-hosted](), [Amazon Web Services]() Tags: [aws](), [aws-identity-and-access-management-iam](), [blog](), [firewalls](), [inference](), [infrastructure](), [opensearch](), [production](), [self-hosted](), [vpc]() ### AI overview This guide explains how to connect OpenSearch and Amazon OpenSearch Service to machine learning models hosted on private infrastructure. It covers VPC-hosted endpoints, private SageMaker endpoints, internal API gateways, and self-hosted inference servers, with configuration steps for connectors, model registration, deployment, testing, and VPC egress. ### Source excerpt Connect OpenSearch to ML models hosted on private infrastructure. Configure ML Commons connectors for VPC-hosted endpoints, private SageMaker models, and internal inference servers without exposing services to the public internet The post Connect OpenSearch to private ML endpoints appeared first on OpenSearch. ## From intent to enforcement: Lessons from operating Kubernetes controllers at scale DevFeed: [From intent to enforcement: Lessons from operating Kubernetes controllers at scale]() Original publisher: [Read original article]() Author: Sri Saran Balaji Vellore Rajakumar Published: 2026-07-17T12:00:00Z Content type: article Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Kubernetes](), [Amazon Elastic Kubernetes Service](), [VPC]() Tags: [amazon-eks](), [aws-marketplace](), [clusters](), [controllers](), [declarative](), [kubernetes](), [networking](), [platform-engineering](), [policy-controller](), [post-contributed](), [reconciliation](), [scale](), [security](), [sponsor-aws-marketplace](), [sponsored-post-contributed](), [vpc]() ### AI overview This article explains lessons from operating Kubernetes controllers at scale in Amazon EKS. It focuses on how the Network Policy Controller and VPC Resource Controller reconcile declared intent with changing cluster state to enforce network traffic and AWS resource access policies. ### Source excerpt Kubernetes controllers are what make the platform's declarative model real. They observe the state, reconcile toward the intent, and keep The post From intent to enforcement: Lessons from operating Kubernetes controllers at scale appeared first on The New Stack. ## DigitalOcean Dedicated Inference: A Technical Deep Dive DevFeed: [DigitalOcean Dedicated Inference: A Technical Deep Dive]() Original publisher: [Read original article]() Author: dgupta Published: 2026-04-25T02:51:09Z Content type: article Language: en Sources: [DigitalOcean]() Topics: [AI Platform](), [Digital Ocean](), [Large Language Model](), [model-serving](), [GPU](), [autoscaling](), [Kubernetes](), [VPC]() Tags: [ai-platform](), [architecture](), [autoscaling](), [deep-dive](), [digitalocean](), [engineering](), [gpu](), [inference](), [kubernetes](), [llm](), [model-serving](), [production](), [technical]() ### AI overview This technical deep dive explains DigitalOcean Dedicated Inference, a managed LLM hosting service on dedicated GPUs. It describes the Kubernetes-native inference stack, public and private VPC endpoints, OpenAI-compatible APIs, serving and routing components, autoscaling, observability, and cost considerations for sustained, high-volume workloads. ### Source excerpt Getting a model to answer 10 inference requests concurrently is tricky but simple enough; getting it to handle 2,000 engineers hitting a coding assistant with long contexts, all day, without runaway costs, is where teams stall. A working endpoint is only the beginning. Teams need to identify the supporting hardware and wire up the right components--serving, scaling, observability, and cost guardrails--so the deployment can support expected SLAs and SLOs under real, sustained load. DigitalOcean already offers Serverless Inference on the DigitalOcean AI Platform: a fast path to models from OpenAI, Anthropic, Meta, or other providers, with minimal setup and token-based pricing. This offering works well for many use cases. However, when you need your own weights, predictable performance on dedicated GPUs, and economics that favor sustained, high-volume token generation over pay-per-token bursts, a different approach makes sense Dedicated Inference, our managed LLM hosting service on the DigitalOcean AI Platform, fills that gap. Dedicated Inference deploys and operates an opinionated inference stack on dedicated GPUs, with Kubernetes-native orchestration under the hood. You interact through the control plane and APIs you already use in the DigitalOcean ecosystem; the data plane exposes public and private endpoints so applications inside, or outside, your VPC can call your models securely. The service is designed to collapse a vast combinatorial space--GPU SKUs, runtimes, routers, autoscaling policies--into guided defaults so teams hit production milestones faster than DIY stacks, while retaining knobs that matter for model serving: replicas, scaling behavior, and advanced optimizations as you roll out your product roadmap. What we manage vs. what you control Every managed product draws a line between operator-owned and customer-owned concerns. Dedicated Inference aims to put day-two operations--cluster lifecycle integration, ingress, core serving and routing components, and t ## Managed Databases Are Now Available in Laravel Forge DevFeed: [Managed Databases Are Now Available in Laravel Forge]() Original publisher: [Read original article]() Author: Laravel Team Published: 2026-03-17T15:48:55Z Content type: release Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [postgresql clusters](), [Availability](), [Provisioning](), [Monitoring](), [Replication](), [Network](), [VPC]() Tags: [compute](), [databases](), [datacenter](), [high-availability](), [laravel](), [learn](), [memory](), [monitoring](), [network](), [postgres](), [replication](), [security](), [storage](), [vpc]() ### AI overview Laravel Forge now offers managed PostgreSQL clusters provisioned directly from its dashboard. The service handles patching, backups, replication, failover, and monitoring, with configurable compute, storage, region, networking, and high-availability options. ### Source excerpt Let Laravel Forge handle managed Postgres clusters for you with automated backups, PITR, high availability, and monitoring, all from your Forge dashboard. ## Deploy Smarter with AI: Introducing App Platform Skills on DigitalOcean DevFeed: [Deploy Smarter with AI: Introducing App Platform Skills on DigitalOcean]() Original publisher: [Read original article]() Author: Ritesh Mahato Published: 2026-03-16T14:00:00Z Content type: release Language: en Sources: [DigitalOcean]() Topics: [Digital Ocean](), [Deployment](), [Artificial Intelligence](), [Open Source](), [GitHub Actions](), [migration](), [PostgreSQL](), [VPC](), [SSL](), [Heroku]() Tags: [ai](), [deployment](), [digitalocean](), [github-actions](), [heroku](), [migration](), [open-source](), [platform](), [postgresql](), [product-updates](), [skills](), [ssl](), [vpc]() ### AI overview DigitalOcean introduces App Platform Skills, a collection of open-source playbooks that provide AI assistants with current, opinionated knowledge for designing, deploying, and troubleshooting applications on DigitalOcean App Platform. ### Source excerpt AI coding assistants have fundamentally changed how developers write software. Tools like Claude Code, Codex, GitHub Copilot, Gemini, and Cursor can scaffold an entire application in minutes. But ask any of them to deploy that application to a production cloud environment, and the experience breaks down -- not because models lack intelligence, but because they lack current, opinionated infrastructure knowledge. Cloud platforms evolve faster than training data refreshes: instance sizes change, new features ship, and battle-tested best practices emerge from customer feedback that never makes it into public documentation. Today, we're announcing App Platform Skills, a collection of open-source, AI-native playbooks that bridge this gap. Skills inject up-to-date, opinionated DigitalOcean App Platform knowledge directly into your AI assistant's context -- turning it from a generic code generator into an infrastructure-aware co-pilot that understands deployment models, networking primitives, database bindings, and operational patterns. Shell npx skills add digitalocean-labs/do-app-platform-skills That single command gives your AI assistant access to 12 specialized skills covering everything from greenfield app design to Heroku migration to production troubleshooting. Benefits -Production-Ready from the Start: Skills encode patterns from thousands of real deployments -- VPC networking by default, PostgreSQL v16 with SSL required, credentials in GitHub Secrets -- so AI-generated configuration aligns with how experienced platform engineers actually build. -Composable Skill Chaining: Skills work together. Describe a new app to the designer skill, and the planner skill decomposes deployment into staged phases while the deployment skill generates a GitHub Actions workflow to execute the rollout. -Zero Credential Exposure: The AI agent never handles sensitive credentials directly. Workflows reference GitHub Secrets by name, managed services use bindable variables like ${db.DATABASE_U ## Supabase incident on February 12, 2026 DevFeed: [Supabase incident on February 12, 2026]() Original publisher: [Read original article]() Author: Paul Copplestone Published: 2026-02-13T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [incident](), [Supabase](), [Amazon Web Services](), [configuration](), [VPC](), [Deployment](), [networking](), [Security](), [Monitoring]() Tags: [auth](), [aws](), [database](), [incident](), [infrastructure](), [monitoring](), [network](), [networking](), [operations](), [outage](), [production](), [security](), [vpc]() ### AI overview Supabase describes a major February 12, 2026 outage affecting all services in its Ohio region for 3 hours and 42 minutes. A monitoring-service deployment inadvertently enabled AWS VPC Block Public Access regionally, blocking internet-gateway traffic across the region. Supabase restored service by rolling back the deployment and identifies insufficient infrastructure-pipeline guardrails as the underlying configuration problem. ### Source excerpt A detailed account of the February 12 outage in us-east-2, what caused it, and the steps we are taking to prevent it from happening again. ## Redpanda Terraform supports managing Redpanda Connect pipelines, private network DevFeed: [Redpanda Terraform supports managing Redpanda Connect pipelines, private network]() Original publisher: [Read original article]() Author: David Yu Published: 2026-02-05T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Terraform](), [Redpanda-Connect](), [Provisioning](), [Cloud](), [configuration](), [Kafka](), [VPC](), [API](), [Amazon Web Services](), [Command-line interface]() Tags: [api](), [automation](), [aws](), [cloud](), [configuration](), [governance](), [infrastructure](), [pipelines](), [provisioning](), [redpanda-connect](), [terraform](), [vpc]() ### AI overview This article describes recent additions to the Redpanda Terraform provider for managing Redpanda Cloud clusters and Apache Kafka resources. It covers provisioning, configuration, and management of clusters, topics, schemas, roles, and pipelines, including BYOC and BYOVPC deployments supported on AWS and GCP. ### Source excerpt Automate Redpanda Cloud with Terraform. Manage Connect pipelines, PrivateLink, and BYOVPC to reduce operational toil and enforce enterprise governance. ## Setting up a VPC Route Server with Pulumi DevFeed: [Setting up a VPC Route Server with Pulumi]() Original publisher: [Read original article]() Author: Scott Lowe Published: 2026-01-28T13:00:00Z Content type: tutorial Language: en Sources: [Scott's Weblog]() Topics: [VPC](), [Amazon Web Services](), [BGP](), [GitHub](), [Code]() Tags: [aws](), [bgp](), [cilium](), [cli](), [cloud](), [cni](), [code](), [containers](), [cri-o](), [devops](), [docker](), [github](), [go](), [iac](), [k8s](), [kubernetes](), [linux](), [networking](), [oci](), [security](), [tutorial](), [vpc]() ### AI overview A tutorial on using Pulumi to create and configure an AWS VPC Route Server for BGP-learned route injection. It covers creating the Route Server, associating it with a VPC, creating an endpoint for BGP peering, handling an explicit dependency between components, and propagating learned routes to a VPC route table. ### Source excerpt If you need to work with BGP in your AWS VPCs--so that BGP-learned routes can be injected into a VPC route table--then you will likely need a VPC Route Server. While you could set up a VPC Route Server manually, what's the fun in that? In this post, I will walk you through a Pulumi program that will set up a VPC Route Server. Afterward, I will discuss some ways you could check the functionality of the VPC Route Server to show that it is indeed working as expected. To make things as easy as possible, I have added a simple Pulumi program to my GitHub "learning-tools" repository in the aws/vpc-route-server directory. This program sets up a VPC Route Server and its associated components for you, and I will walk through this program in this blog post. The first step is creating the VPC Route Server itself. The VPC Route Server has no prerequisities, and the primary configuration needed is setting the ASN (Autonomous System Number) the Route Server should use: rs, err := vpc.NewRouteServer(ctx, "rs", &vpc.RouteServerArgs{ AmazonSideAsn: pulumi.Int(65534), Tags: pulumi.StringMap{ "Name": pulumi.String("rs"), "Project": pulumi.String("vpc-route-server"), }, }) Next, you will need to associate the Route Server with a VPC. This requires a VPC ID, as you might expect; this ID could come from a configuration value passed in by the user, or from a VPC created earlier in this or another Pulumi program. rsa, err := vpc.NewRouteServerVpcAssociation(ctx, "rsa", &vpc.RouteServerVpcAssociationArgs{ RouteServerId: rs.ID(), VpcId: pulumi.String(userSuppliedVpcId), }) With that association in place, the next component is a Route Server Endpoint. This endpoint is created in a subnet, and will have an IP address assigned from that subnet. This IP address is what your BGP peer will use to establish a peering relationship to exchange routes. rse, err := vpc.NewRouteServerEndpoint(ctx, "rse", &vpc.RouteServerEndpointArgs{ RouteServerId: rs.RouteServerId, SubnetId: pulumi.String(userSuppliedPriv ## Supabase PrivateLink is now available DevFeed: [Supabase PrivateLink is now available]() Original publisher: [Read original article]() Author: Miles Thomas Published: 2026-01-27T07:00:00Z Content type: release Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [Database](), [Amazon Web Services](), [VPC](), [Security](), [Network](), [Cloud](), [Latency](), [SSL]() Tags: [aws](), [cloud](), [compliance](), [data](), [database](), [finance](), [healthcare](), [internet](), [latency](), [network](), [public-sector](), [security](), [ssl](), [vpc]() ### AI overview Supabase PrivateLink enables connections between Supabase databases and AWS resources over private networks, avoiding public internet exposure. It supports private VPC endpoints, private DNS, direct Postgres connections, and PgBouncer, with benefits for compliance, security, and potentially lower latency. ### Source excerpt Connect to your Supabase database without touching the public internet. ## Leveling Up Kubernetes: Key DigitalOcean Managed Kubernetes Releases in 2025 DevFeed: [Leveling Up Kubernetes: Key DigitalOcean Managed Kubernetes Releases in 2025]() Original publisher: [Read original article]() Author: Nicole Ghalwash Published: 2025-12-15T18:30:03Z Content type: article Language: en Sources: [DigitalOcean]() Topics: [Digital Ocean](), [Kubernetes](), [releases](), [networking](), [Cilium](), [eBPF](), [VPC](), [Latency](), [autoscaling](), [observability]() Tags: [2025](), [autoscaling](), [cilium](), [digitalocean](), [ebpf](), [improvements](), [kubernetes](), [latency](), [networking](), [observability](), [performance](), [releases](), [scalability](), [updates](), [vpc]() ### AI overview A recap of DigitalOcean Managed Kubernetes releases in 2025, covering cluster-capacity increases, VPC-native networking, eBPF-powered routing, Managed Cilium with Hubble, and related security, autoscaling, and ecosystem improvements. The updates aim to simplify Kubernetes operations and support larger, more efficient workloads. ### Source excerpt 2025 was a busy and transformative year for DigitalOcean Managed Kubernetes, marked by a series of releases that make DigitalOcean Kubernetes simpler, more secure, and more scalable for developers and growing businesses. Across engine upgrades, networking and security enhancements, autoscaling improvements, and new ecosystem integrations, this year's updates aimed to give teams more power with less operational overhead. Whether users are running production workloads, experimenting with microservices, or scaling customer-facing applications, the enhancements launched throughout 2025 make it easier than ever to deploy, manage, and optimize Kubernetes on DigitalOcean. In this recap, we'll walk through the major releases that shaped the platform over the past year and how they help developers move faster with confidence. Next Evolution of DigitalOcean Kubernetes [March] In March, we rolled out four major upgrades to DigitalOcean Kubernetes (DOKS) that make it easier to run larger and more efficient workloads: increased cluster capacity, VPC-native networking, eBPF-powered routing, and Managed Cilium. Here's a look at each one: Cluster capacity has doubled from 500 to 1,000 worker nodes, allowing bigger applications to run on a single cluster without the overhead of managing multiple environments. VPC-native Kubernetes now assigns IPs directly from your VPC, improving performance and simplifying communication with other cloud resources. Replacing kube-proxy with eBPF-based networking and routing delivers faster packet processing and lower latency, benefiting high-traffic and real-time workloads. Managed Cilium with Hubble for observability adds stronger security, modern networking, and easier troubleshooting. Together, these features significantly boost scalability, performance, and reliability while reducing operational complexity of DOKS, so developers gain clearer visibility and a simpler networking stack, while businesses benefit from lower overhead and the ability t ## Introducing Mistral AI Studio. DevFeed: [Introducing Mistral AI Studio.]() Original publisher: [Read original article]() Published: 2025-10-24T12:00:00Z Content type: release Language: en Sources: [Mistral AI Blog]() Topics: [AI Platform](), [Artificial Intelligence](), [MLOps](), [Security](), [DevOps](), [data](), [Large Language Model](), [Deployment](), [Prompt Engineering](), [on-prem](), [VPC]() Tags: [agents](), [ai](), [ai-adoption](), [ai-assistants](), [ai-platform](), [ai-studio](), [autonomous-agents](), [compliance](), [infrastructure](), [multimodal-ai](), [on-prem](), [privacy](), [provenance](), [vpc](), [workflows]() ### AI overview Mistral introduces AI Studio, an enterprise AI platform for customizing, fine-tuning, evaluating, governing, and deploying AI assistants, autonomous agents, and multimodal AI with open models. It addresses the gap between AI prototypes and production by providing evaluation, feedback and dataset workflows, provenance and versioning, governance, and flexible deployment across hybrid, VPC, and on-prem infrastructure. ### Source excerpt The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. ## Announcing per-sec billing, new Droplet plans, BYOIP, and NAT gateway to reduce scaling costs DevFeed: [Announcing per-sec billing, new Droplet plans, BYOIP, and NAT gateway to reduce scaling costs]() Original publisher: [Read original article]() Author: Nihar Namjoshi Published: 2025-10-02T08:03:13Z Content type: release Language: en Sources: [DigitalOcean]() Topics: [Digital Ocean](), [Cloud](), [cloud-infrastructure](), [virtual machines](), [VPC](), [CI/CD]() Tags: [ci-cd](), [cloud](), [cloud-infrastructure](), [digitalocean](), [droplets](), [network](), [product-updates](), [virtual-machines](), [vpc]() ### AI overview DigitalOcean announces per-second billing for Droplets, new dedicated Droplet plans, generally available BYOIP, and a VPC NAT Gateway. The updates target more precise cost control, performance upgrades, IP reputation protection, and centralized egress management. ### Source excerpt To help users cut down on cloud spending that's wasted due to over-provisioning and inflexible billing models, we're introducing tools that offer granular control without sacrificing simplicity or cost-effectiveness. We're excited to announce new product updates that offer granular cost control, improved performance, and a clear path to savings. TL;DR DigitalOcean has transitioned to per-second billing for Droplets. Starting from January 1, 2026, you only pay for the exact compute time you use, perfect for slashing costs on ephemeral tasks and CI/CD pipelines. Create Droplets for short-lived workloads. New dedicated Droplet plans are now generally available for a seamless performance upgrade. Visit your DigitalOcean console to create these new Droplets. Bring your own IP is now generally available to protect your IP reputation. Check out our documentation or visit your DigitalOcean console to bring your own ip. VPC NAT gateway is now generally available for centralized egress and static IPs. Join our webinar: Stop the manual struggle of managing NAT instances and bastion hosts or check out our documentation or visit your DigitalOcean console to set up your NAT gateway. Droplets per-second billing slashes costs for ephemeral workloads Traditional hourly billing models for virtual machines have resulted in customers paying for idle time, even for short-lived workloads. Starting from Jan 1, 2026, our billing model transitioned to a per-second basis for Droplets, with a minimum charge of 60 seconds or $0.01, whichever is higher. This new approach aims to optimize cost control by charging for exact usage over a minute, making it simple to get precise billing for your actual usage. For sustained workloads, the monthly cap of 672 hours (24 hours x 28 days) of usage remains in place, ensuring your bill never exceeds the predictable monthly price. Imagine your development team uses a CI/CD pipeline that uses $84/month CPU-Optimized Droplet to run automated tests taking 10 mi ## MySQL CDC connector for ClickPipes is now in Public Beta DevFeed: [MySQL CDC connector for ClickPipes is now in Public Beta]() Original publisher: [Read original article]() Author: Amogh Bharadwaj Published: 2025-07-17T17:08:34Z Content type: release Language: en Sources: [ClickHouse Blog]() Topics: [MySQL](), [clickhouse](), [Replication](), [Streaming](), [real-time](), [MariaDB](), [VPC]() Tags: [clickhouse](), [cloud](), [compatibility](), [cost](), [mysql](), [performance](), [real-time](), [replication](), [streaming](), [vpc]() ### AI overview ClickHouse announces the public beta of its MySQL CDC connector for ClickPipes, enabling guided streaming of MySQL data into ClickHouse Cloud. The article highlights customer adoption, real-time replication, support for MySQL and MariaDB variants, parallelized initial loads, and private VPC networking. ### Source excerpt We're excited to open up the public beta of the MySQL CDC connector in ClickPipes. ## BYOC: Secure by design, proper controls by default DevFeed: [BYOC: Secure by design, proper controls by default]() Original publisher: [Read original article]() Author: Bipin Singh Published: 2025-06-18T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Security](), [Software as a service](), [Self-hosted](), [VPC](), [Cloud](), [IAM](), [Deployment](), [Architecture & Design]() Tags: [byoc-deployment](), [cloud-vpc-security](), [compliance-in-cloud-services](), [data-control-and-governance](), [data-streaming-security](), [deployment](), [iam](), [jpmc-software-suppliers-letter](), [product](), [redpanda-byoc](), [redpanda-cloud-features](), [saas](), [saas-operational-simplicity](), [secure-by-default](), [secure-by-design](), [secure-saas-solutions](), [security](), [self-hosted](), [self-hosted-vs-saas-security](), [streaming-data-compliance](), [vpc]() ### AI overview Redpanda argues that JPMorgan Chase's security requirements make secure-by-default design, continuous control validation, governance, and flexible deployment essential for enterprise software. Its Redpanda Cloud BYOC model places the data plane in the customer's VPC while Redpanda operates the control plane, preserving data ownership and operational convenience. ### Source excerpt JPMorgan Chase warns: no governance, no deal. Luckily, Redpanda BYOC provides the security of self-hosted with the convenience of SaaS. Read more. ## Postmortem: Delayed Start Compute Operations DevFeed: [Postmortem: Delayed Start Compute Operations]() Original publisher: [Read original article]() Author: Em Sharnoff Published: 2025-05-21T18:44:44Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [incident](), [Amazon Web Services](), [Database](), [VPC](), [Kubernetes](), [Query (disambiguation)](), [monitor]() Tags: [aws](), [capacity](), [configuration](), [databases](), [engineering](), [incident](), [kubernetes](), [monitor](), [outage](), [production](), [proxy](), [rate-limiting](), [recovery](), [regression](), [vpc]() ### AI overview Neon's postmortem explains two AWS/us-east-1 incidents that prevented customers from creating or starting inactive databases for 5.5 hours. An expensive control-plane database query overloaded the database, delayed suspension of inactive databases, drove pod counts beyond planned capacity, and exhausted subnet IP addresses. Neon mitigated the incidents through AWS CNI reconfiguration, control-plane database scaling, rate limiting, traffic redirection, and planned Kubernetes architecture changes. ### Source excerpt Summary On two occasions in the past week, Neon customers in AWS/us-east-1 were unable to create or start inactive databases, for a total period of 5.5 hours. Customers with running databases were unaffected. The root cause related to our ability to assign IP addresses to new dat... ## The all new le Chat: Your AI assistant for life and work DevFeed: [The all new le Chat: Your AI assistant for life and work]() Original publisher: [Read original article]() Published: 2025-02-06T16:00:00Z Content type: release Language: en Sources: [Mistral AI Blog]() Topics: [Artificial Intelligence](), [AI Platform](), [Inference](), [Latency](), [on-prem](), [Software as a service](), [Code](), [VPC](), [Android](), [iOS]() Tags: [ai](), [ai-assistants](), [android](), [code](), [inference](), [ios](), [latency](), [models](), [on-prem](), [saas](), [vpc]() ### AI overview Mistral introduces a new version of le Chat, an AI assistant for personal and professional tasks. It offers web-grounded answers, document and image understanding, OCR, sandboxed code execution, scientific analysis, simulations, visualizations, and image generation. The announcement also covers free, Pro, Team, and Enterprise tiers, including deployment on SaaS, on-prem, and VPC infrastructure. ### Source excerpt The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. ## The evolution of ClickHouse Cloud: new features, superior performance, and tailored offerings DevFeed: [The evolution of ClickHouse Cloud: new features, superior performance, and tailored offerings]() Original publisher: [Read original article]() Author: ClickHouse Published: 2025-01-27T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Cloud](), [data](), [Kafka](), [Streaming](), [genai](), [SQL](), [dashboards](), [Deployment](), [VPC]() Tags: [aws](), [azure](), [byoc-deployment](), [clickhouse](), [cloud](), [connectors](), [dashboards](), [data](), [deployment](), [object-storage](), [performance](), [postgres](), [sql](), [streaming](), [vpc]() ### AI overview The article describes the evolution of ClickHouse Cloud since its 2022 launch, highlighting broader cloud-provider and regional support, data-ingestion capabilities, analyst tooling, managed upgrades, and AWS BYOC deployment. It also previews architectural improvements focused on compute separation, scaling, performance, flexibility, and enterprise control. ### Source excerpt ClickHouse Cloud introduces cutting-edge improvements in compute separation, scaling, and enterprise features to enhance performance, flexibility, and control for modern data workloads. ## Failover in Amazon RDS Multi-AZ Architectures DevFeed: [Failover in Amazon RDS Multi-AZ Architectures]() Original publisher: [Read original article]() Author: Guillermo Ojeda Published: 2024-12-18T23:22:08Z Content type: tutorial Language: en Sources: [Guille Ojeda]() Topics: [Amazon RDS](), [Amazon Web Services](), [Cloud Architecture](), [distributed-systems](), [Amazon EC2](), [Database](), [Replication](), [Availability](), [VPC]() Tags: [amazon-rds](), [amazon-web-services](), [architecture](), [aws](), [cloud](), [databases](), [distributed-systems](), [ec2](), [failover](), [replication](), [vpc]() ### AI overview This tutorial explains how Amazon RDS Multi-AZ deployments handle database failures and failover. It examines RDS architecture, including EC2 compute, EBS storage, VPC connectivity, the control plane, storage-level replication, and Availability Zone isolation. ### Source excerpt Database failures are inevitable. Even with the most reliable hardware and software, something will eventually break. AWS RDS Multi-AZ deployments promise to handle these failures gracefully, automatically failing over to a standby database when prob... ## How to use Teleport Machine ID to provide database access to applications running on EKS without passwords DevFeed: [How to use Teleport Machine ID to provide database access to applications running on EKS without passwords]() Original publisher: [Read original article]() Author: info@goteleport.com (Gavin Frazar) Published: 2024-12-03T00:00:00Z Content type: tutorial Language: en Sources: [Teleport]() Topics: [Amazon EKS](), [Kubernetes](), [PostgreSQL](), [Authorization](), [AWS Fargate](), [certificates](), [Access Control](), [Amazon Elastic Container Service](), [TLS (Transport Layer Security)](), [AWS IAM](), [container](), [VPC]() Tags: [access-control](), [api-keys](), [aws-fargate](), [aws-iam](), [certificates](), [container](), [ecs](), [how-to](), [kubernetes](), [passwords](), [postgresql](), [secrets](), [tls](), [vpc]() ### AI overview A tutorial on deploying Temporal on Amazon EKS so it can connect to an AWS RDS PostgreSQL database without passwords or other shared secrets. It uses Teleport Machine & Workload Identity, a sidecar, short-lived X.509 certificates, PostgreSQL role provisioning, and a Teleport Database Service deployed on AWS Fargate. ### Source excerpt Discover how to secure database access in Kubernetes workloads. Eliminate secrets, keep databases in private networks, and improve audit logging with Teleport. [Next page]()