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By Aykut Bulgu
Consider a platform team that spends four months building a thorough migration plan. Its pilot, a stateless order-status API, runs on AWS within three weeks. Six months later, that API is still the only workload in the cloud. In this scenario, the blockers are not exotic technical failures.
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By Nathan McNeill
Heroku is not shutting down. On February 6, 2026, Heroku CPO Nitin T Bhat announced that the platform was moving to a sustaining engineering model: new feature development has stopped, but Heroku remains actively supported and production-ready. There is no announced EOL date or migration deadline, existing apps can keep running, credit-card customers can continue using the service, and existing Enterprise customers can renew. What changed is the roadmap, not immediate availability.
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By Aykut Bulgu
DevOps platform feature lists increasingly look alike. CI/CD, multi-cloud, observability, GitOps, and AI-friendly automation can all appear as checkboxes while the implementation burden still falls on your team. The useful signal appears when you ask how each capability actually works, what evidence a vendor can show, and which parts your team still has to build. Can pipelines authenticate with a scoped machine identity? Can workloads reach cloud APIs without static keys?
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By Aykut Bulgu
Most teams that say they have an enterprise cloud strategy mean that they have workloads running on a hyperscaler and a set of compliance controls documented somewhere. That is a cloud deployment, but it is not necessarily an enterprise cloud operating model. Google Cloud’s 2025 platform engineering research with ESG describes platform engineering as a strategic discipline tied to delivery, governance, and operational outcomes, rather than simply another infrastructure cost.
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By Aykut Bulgu
Your pipeline works. The build passes, the image lands in the registry, and the job turns green. Then someone asks why production still runs the old version, and you spend the next two hours determining whether the problem is a deployment configuration, a runner, an approval rule, or the runtime itself. That is the wrong-tool tax.
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By Nathan McNeill
Control Plane is now a technology partner of Akamai Cloud. You can add regions from Akamai Cloud to your Global Virtual Cloud in Control Plane. And by leveraging Control Plane’s Universal Cloud Identity, workloads running on Akamai Cloud regions can still consume any service of AWS, GCP, or Azure with no credentials embedded in the workload.
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By Doron Grinstein
Kubernetes has changed the way teams deploy and scale applications, but many organizations overlook a critical aspect of running it well: resource utilization. Kubernetes excels at scheduling and scaling workloads. Making sure those workloads actually use the resources they reserve still falls on operations teams.
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By Aykut Bulgu
Most DR plans have a fatal assumption baked in, namely that the cloud provider stays up. Your runbook says “failover to us-west-2.” That works until the provider’s control-plane services degrade and the credentials, APIs, or DNS management your failover workflow depends on become unreliable. Single-provider DR is disaster deferral.
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By Aykut Bulgu
Multi-cloud architecture protects engineering organizations from three compounding liabilities that single-cloud stacks accumulate silently: a narrowing hiring pool, data residency exposure that surfaces the moment you sign a regulated enterprise customer, and eroded pricing power at exactly the point your cloud spend is accelerating fastest. Redundancy is a side benefit, not the reason to adopt it. The redundancy argument for multi-cloud is the wrong argument to make early.
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By Nathan McNeill
a few years ago, nobody was asking where their inference layer should run. Now it’s on the roadmap, or already in production and costing more than anyone budgeted. Or perhaps you’ve built an agent infrastructure that spins up on a request and vanishes by midnight. Or you need GPUs that are priced like a luxury good on the hyperscalers, so you go source them from a neocloud like Lambda.
Kintsugi puts sales tax compliance on autopilot for 7,300 companies selling into 110 countries, and its tax engine sits inside other companies' checkouts. The answer has to arrive before the shopper finishes paying. "Typically, a customer's expectation is that we are returning the sales tax estimate on the invoice within 100 milliseconds." The cost of missing is not abstract: "For every minute that our sales tax API, if it ever goes down, our customers are not able to collect roughly $4 million in sales tax that they should be collecting.".
Matt Zytaruk, VP of Technology at Minga, on what changed once his developers could point their AI tools at their own infrastructure. Minga checks in 1.5 million students across the eastern seaboard every school morning. They run that platform on Control Plane, which gives their team an MCP server, a CLI, and Terraform-native resources — so a developer can investigate an issue and generate the code for the change without waiting on anyone.
"Hey, I built this over the weekend. I want to get it in front of customers." And it always hits architecture, security, and infrastructure. Ross Hendrickson, CTO at Inspectiv, calls that gap the chasm. His team crosses it on Control Plane: AI-written code secured, reviewed, and released in a day. Control Plane combines AWS, GCP, Azure and your own hardware into one virtual cloud shaped to your workloads.
When your platform is tied to a single cloud, every move turns into a migration. This team decided it didn't have to be. In this clip, a Control Plane customer explains how separating their platform from the cloud provider underneath changed the math on infrastructure. Instead of being locked to one vendor, they can pick the best services from each cloud and move workloads to AWS without jumping through hoops. The kicker: a migration whose sheer scale would have "scared them off" becomes a non-event once your platform isn't welded to a single provider. Control Plane is an AI-native virtual cloud.
"The biggest surprise was how much support we've gotten from the Control Plane team." — Minga Most teams know the drill: unless you're paying a lot, you don't get real support from GCP or AWS. Minga found the opposite with Control Plane. Whenever an infrastructure issue comes up, the Control Plane team jumps in — digging through logs, tracking down the root cause, and staying in the trenches even when the problem isn't theirs to fix.
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Minga checks in 1.5 million students across the eastern seaboard by 8:30 AM Eastern — then lets that infrastructure wind down an hour later. After migrating to Control Plane, they cut infrastructure costs 30–40% and traded fragile, manual scaling for a platform that scales itself.
Can you trust AI to run your platform? AI can now spin up production infrastructure in minutes — but speed cuts both ways. In this episode, Nana(TechWorld with Nana) sits down with Doron Grinstein and Dan Wilson, two architects who built, broke, and fixed platforms at VMware and SAP, for a no-hype look at platform engineering in the age of AI.
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Run compute anywhere, combine cloud services, boost developer productivity, and slash costs.
Control Plane is a hybrid platform enabling cloud architects to combine the services, regions, and computing power of Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure and any other public or private cloud to provide developers with a flexible yet unbreakable global environment for building backend apps and services.
On Control Plane, microservices can run simultaneously on any combination of cloud compute and consume any combination of cloud services without embedded credentials. The platform handles identity conveyance and authorization uniformly, utilizing best-practices/least privilege principles consistently and securely.
Benefits of Control Plane:
- Ops without the Pain: Best in class Ops, codified, using tools you already know and trust.
- Virtual Cloud: Mix-n-match services from AWS/Azure/GCP in a single workload.
- Multi-Region: Ultra-low latency and unbreakable 99.999% availability.
- Spend Less: Only pay for the CPU/RAM/egress workloads actually consume.
The Global Compute Platform Enabling Multicloud-Native Apps.