DoiT is partnering with @IngramMicroInc to bring FinOps 3.0 and advanced CloudOps to 5,000+ AWS partners worldwide. Our DoiT Cloud Intelligence™ platform will soon integrate with Xvantage™, giving partners real-time insights, automation, and ROI-driven cloud capabilities. A huge step forward for global FinOps. doit.com/news/doit-ingram-mi… #FinOps #CloudOps #AWS #DoiT

Guessing a workload's memory limit takes thirty seconds. Living with that guess takes months. @picnic_ai helps pharmaceutical researchers run observational clinical trials, processing large volumes of medical data across several Kubernetes clusters. CPU and memory needs shift job to job, but resource requests were set at creation and rarely touched again until the out-of-memory errors arrived. Jobs failed and retried, queues built up, shared databases took the load. PicnicAI came to @PerfectScale_io by DoiT through a broader cloud cost optimization initiative. Our Field Engineering and Customer Success teams worked with their engineers on how HPA and the cluster autoscaler interact, and which workloads were safe to automate first. PerfectScale by @doitint carried the optimization: PerfectScale's InfraFit exposed node configurations that did not fit their workloads, and automation policies let them widen rightsizing at their own pace across development, staging and production. ✅ 85-90% of application workloads on automated resizing, up from zero ✅ ~50% less team time spent managing infrastructure ✅ Fewer memory-related failures across variable data-processing workloads Read the full story: bit.ly/4izrE5Y

A platform's goal is to hide Kubernetes complexity from your engineers. Keeping it efficient as demand explodes is the real work. #StefaniniGroup leveraged @PerfectScale_io by @doitint to keep its Kubernetes platform efficient as AI-driven demand took off. The team runs a self-service, multicloud Kubernetes platform, primarily on Microsoft Azure, so engineers can build and ship without becoming Kubernetes experts. Native open-source tools couldn't surface where cost and waste were hiding. The PerfectScale team worked hand in hand with Stefanini's engineers, learning their environment, flagging drifting spend, and shipping their feature requests within months. PerfectScale carried the optimization: automation continuously right-sizes live workloads, and cluster-level visibility exposes cost and waste down to the individual workload. ✅ ~26% of total Kubernetes compute saved every month, about half the potential still open ✅ Fewer production incidents, with faster root-cause when they do happen ✅ Growth absorbed without doubling the size of the platform team Watch the whole video here: bit.ly/4idjxfj

Moving 40 servers to AWS is a project plan. Getting two clouds to talk to each other first is the real work. @SoftProj came to @doitint with a live four-tier environment on IBM Cloud Infrastructure: load balancers, application servers, self-managed Docker Swarm clusters, MySQL and Cassandra. All of it had to reach @AWS while staying connected to what was still running on IBM. Our Forward Deployment Engineering team worked through the options, moved them from IBM Classic to AWS VPC, and traced the subnet overlap that was breaking the routing. Cloud Intelligence™ carried the rest: Insights surfaced the cost optimizations, including right-sizing their security tooling spend, and Cloud Diagrams gave them a live visual of the new environment. ✅ All 40 servers migrated 1:1, four-tier topology intact ✅ Two IBM Cloud regions consolidated into one AWS VPC across multiple Availability Zones ✅ All three AWS MAP phases delivered: Assess, Mobilize, Modernize Read the full story: bit.ly/4wG8ej6 #FinOps #CloudMigration #AWS

With @googlecloud providing the infrastructure and @doitint providing Cloud Intelligence, #Flooid can focus on building the future of retail. We are proud to share this video case study with the Flooid team, filmed at their Birmingham HQ. It is a brilliant example of how cloud partnerships go beyond billing, into real FinOps maturity, continuous optimisation, and scalable innovation. Thank you Andrea, Martyn, Martin and Thomas for this great interview. 🎬 Watch the full interview here → bit.ly/4yX4Ti7 #FinOps #CloudIntelligence #Retail #UnifiedCommerce

Great cloud engineering deserves cloud spend you can actually read. On a multitenant SaaS platform, cost management too often lives disconnected from how engineers actually build and run services. #Thron's CIO, Flavio Alberti, describes what changed when FinOps stopped being a separate exercise and became part of the everyday engineering workflow: "Before @doitint, managing @AWS costs across a multitenant SaaS platform meant constant manual effort and fragmented visibility. DoiT changed that. DoiT Cloud Intelligence platform made it natural to embed FinOps practices into our everyday engineering workflows, not as a separate exercise, but as part of how we build and run our services. Combined with responsive technical support and a team that genuinely understands cloud architecture, it has helped us keep costs under control and continuously optimize the infrastructure behind our platform. After ten years as an AWS partner, DoiT is the layer that finally made that investment fully legible." This is what intent-aware FinOps looks like in practice: costs that stay legible while the team keeps shipping. Click here to learn how customers leverage the DoiT Portfolio: doit.com/customers?utm_campa…

Most GenAI prototypes don't make it to production. The reason isn't always the technology. "The technical side was not the biggest challenge," says Milad Rezazadeh, CTO of Finlex. "The real challenge was understanding how to bring AI into the business in a way that actually solves problems." #Finlex partnered with @doitint through the AWS GenAI Accelerator program to close that gap. Working with Rajan Bhave, AI Architect at DoiT, the team: → Re-built the Finlex Assistant on Amazon Bedrock AgentCore with secure, multi-tenant identity → Hardened the design for GDPR and EU AI Act considerations → Cut cumulative cloud costs 65% since 2024 through governance with Cloud Intelligence™ Now Finlex is reinvesting those savings into the next phase: building AI deeper into the platform, not bolting it on top. What changed wasn't just the cost number. It was the confidence to evaluate, build, and ship new AI capabilities to production. Read the full story: bit.ly/4gCZ1Uf

You can run the predictions on the 2026 FIFA World Cup. Your Kubernetes infrastructure shouldn't be a prediction. @OneFootball reaches 200M+ fans, and its platform team runs the Kubernetes that absorbs every traffic spike. To protect the fan experience, they overprovisioned, which kept things safe but buried cost in idle capacity and left manual rightsizing unable to keep pace with live-sports demand. The answer wasn't more dashboards. It was continuous, automated optimization. OneFootball leverages @PerfectScale_io by DoiT to move from defensive overprovisioning to data-backed rightsizing across their Kubernetes environment . → 25% reduction in Kubernetes infrastructure costs → ~80% less engineering effort on cost optimization and resiliency tuning → A fundamental shift in how rightsizing, autoscaling, and reliability decisions get made Now optimization is part of how the team prepares for global football moments, scaling for the unpredictable without trading efficiency for confidence. Full story: bit.ly/4xOLPCe

Tracking which database engines are about to lose support is the kind of task nobody owns, until something breaks. @weareraptive powers independent creators and digital publishers, running a fleet of dozens of @AWS RDS databases. As engine versions approached end of standard support, the team was looking at either rushed upgrades or climbing extended-support bills. Documenting it all by hand was on the table, until they found a better way. @doitint deployed a Cloud Intelligence™ CloudFlow template that scans every RDS instance across all accounts and AWS regions, then alerts the team six months before any engine reaches end of support. → 37 databases covered automatically, and counting → ~$10k/year in extended-support costs prevented → Six months of runway to plan upgrades instead of scrambling The "RDS Engines Nearing EOL" template is available inside CloudFlow. Open it, search the Templates tab, and you're set. Full story: bit.ly/3QxDim8

When your platform connects 100 million patients to care, "optimize cloud costs" can never mean "risk an outage." That was the tightrope for the SRE team at @lumahealthhq. Nine engineers across Brazil and Europe were spending 20+ hours every month manually rightsizing Kubernetes pods on Amazon EKS: reviewing metrics, tuning requests and limits, and still defending every dollar to finance. They deployed @PerfectScale_io by @doitint across their EKS clusters with environment-aware policies, aggressive automation in lower environments and a balanced approach in production. The first optimization cycle delivered: → 40% reduction in Amazon EKS costs → 90% less time spent on manual rightsizing → 1,700+ engineering hours a year redirected to reliability and performance Read the full story → bit.ly/4uGGfix #FinOps #Kubernetes #CloudCost

Most cloud estates grow faster than the teams managing them. #LuxuryEscapes had 25 AWS accounts, growing monthly Cloud spend, and @AWS Aurora clusters provisioned for peak load rather than real usage. The answer wasn't broad cost-cutting. It was precise analysis. @doitint and Satyam Gupta reviewed actual RDS usage patterns and built a Reserved Instance strategy from the ground up: → 75% of Aurora RDS workload now covered by Reserved Instances → $10K+ saved Via RDS right-sizing and Reserved Instance strategy → 25 accounts unified single view across the full AWS estate via DoiT Cloud Intelligence → Automated RI expiration alerts via CloudFlow so nothing slips through Full story: doit.com/customers/luxury-es… Thank you Chiamaka Ibeme for working with us on this story!

How Promptly brought production-ready AI to healthcare workflows on AWS. @promptlycheckin, a fast-growing patient engagement platform, leveraged @doitint to launch a new AI-driven capability on @AWS that transforms patient interactions into automated, actionable workflows. With DoiT Cloud Intelligence™ and the GenAI Cloud Accelerator, Promptly built a secure, scalable foundation that supports innovation while maintaining strong governance and operational reliability. ✅ AI feature delivered in weeks instead of months ✅ Reliable, structured outputs ready for production workflows ✅ Zero disruption to existing engineering roadmap ✅ Foundation for new revenue streams through AI-driven capabilities See how Promptly builds and scales AI with confidence on AWS with DoiT. Watch the full video here: bit.ly/40YopuS and hear from founder and CEO, Dr Anish Kapur #FinOps #CloudGovernance #AWS #GenerativeAI

🚀 Extenda Retail optimizes cloud operations and accelerates AI readiness with DoiT @ExtendaRetail, a global retail software provider, leverages @doitint to enhance financial transparency and operational governance across its @googlecloud environment. With DoiT Cloud Intelligence™, dedicated Customer Success support, and Forward Deployed Engineering expertise, Extenda Retail optimized its infrastructure, validated AI architecture decisions, and improved cost accountability as it scaled its cloud-native platform. ✅ Improved visibility into cloud spend and proactive anomaly detection ✅ Reduced high-cost SSD storage waste through targeted rightsizing ✅ Faster architectural validation for AI and cloud-native services ✅ Strategic bi-weekly governance cadence aligning engineering and finance Discover how Extenda Retail builds and scales confidently on Google Cloud with DoiT here: doit.com/clients/extenda-ret…

🚀 PlayHQ optimizes multi-tenant Kubernetes costs with PerfectScale by DoiT @PlayHQSports, the platform behind thousands of community sports competitions worldwide, leveraged @PerfectScale_io by DoiT to automate #Kubernetes optimization across its @AWS EKS environment. Using PerfectScale by @doitint, the team embedded continuous workload rightsizing and governance into its clusters, ensuring performance during peak match windows while maintaining strong FinOps discipline. ✅ 40% reduction in non-production Kubernetes costs ✅ 20% reduction in production Kubernetes costs ✅ Real-time visibility into per-tenant compute costs See how PlayHQ scales Kubernetes efficiently with PerfectScale By DoiT. Read More Here: doit.com/clients/playhq/?utm… #FinOps #CloudGovernance #AWS #Kubernetes

🚀 SNCF scales Kubernetes efficiently while protecting mission critical services @GroupeSNCF, one of Europe’s largest transportation groups, leverages @PerfectScale_io by DoiT to bring continuous FinOps governance to its large-scale Kubernetes environments running on @AWS. Using PerfectScale by DoiT, SNCF embedded safe, automated optimization into production and non-production clusters, enabling teams to scale reliably while improving operational efficiency. ✅ 30% more Kubernetes workloads supported without increasing cloud spend ✅ Automated optimization across shared cloud-native infrastructure ✅ Improved stability through behavior-based, risk-aware rightsizing Discover how SNCF treats Kubernetes optimization as governance with PerfectScale by @doitint. 👉🏼 Watch here: doit.com/clients/sncf/?utm_c…

⚡️ How Monta scales EV charging infrastructure with confidence on AWS #Monta, a global SaaS provider powering over 250,000 EV charging points, partnered with @doitint to enhance FinOps and cost governance across its @AWS platform. With DoiT Cloud Intelligence™, Flexsave, and DataHub, Monta connects engineering and finance around shared KPIs, extends visibility beyond cloud-native spend, and plans infrastructure growth with confidence as its EV network scales globally. ✅ Cost per active charge point tracked as a core FinOps KPI ✅ Unified visibility across AWS and third-party platform costs with DataHub ✅ Improved forecasting accuracy aligned to business growth ✅ Faster adoption of AWS capabilities through expert FinOps guidance See how Monta builds and scales responsibly on AWS with DoiT Read the story here: doit.com/clients/monta/?utm_… #FinOps #CloudGovernance #AWS

How #WickedReports tbuilt trusted, production-ready AI on @AWS with @doitint. Wicked Reports partnered with DoiT to accelerate an AI capability designed to deliver reliable, explainable attribution insights at scale. Powered by AWS and strengthened through DoiT Cloud Intelligence™ and the GenAI Cloud Accelerator, the company moved from concept to a fully deployable feature built with confidence on a cloud built for security, scale and rapid iteration. ✅ 3 months of development time saved ✅ 25% faster prototype to production on AWS ✅ Zero additional infrastructure spend during the build ✅ Consistent, governed recommendations aligned to Wicked Reports’ attribution framework See how Wicked Reports builds smarter on AWS with DoiT: doit.com/clients/wicked-repo… #FinOps #CloudGovernance #AWS #GenerativeAI

How #DaySmart accelerated AI innovation and strengthened cloud governance with @doitint on @AWS DaySmart partnered with DoiT to launch production-ready AI, unify visibility across multiple AWS environments, and build a governed foundation for FinOps and secure cloud operations. Powered by DoiT Cloud Intelligence™ and the GenAI Cloud Accelerator, the company moved from idea to deployment at remarkable speed while keeping engineering focused on its roadmap. ✅ 90 days from POC to deployment with zero internal engineering time required ✅ 6x Engineers worth of resource saved ✅ 12x Weeks of time saved with DoiT’s Gen AI Cloud Accelerator ✅ Unified cloud visibility and spend governance across product lines See how DaySmart is scaling AI responsibly with DoiT: doit.com/clients/daysmart/?u… #FinOps #CloudGovernance #AWS #GenerativeAI

🚀 How Vivaticket brought automated governance and FinOps discipline to its AWS operations with DoiT @Vivaticket, partnered with @doitint to strengthen control and visibility across its @AWS environments. Using DoiT Cloud Intelligence™ and #CloudFlow, the company built a unified, automated foundation for FinOps and governance that connects finance, engineering, and operations around a shared source of truth. ✅ Unified cost and usage visibility through DoiT Cloud Intelligence™ ✅ Automated workflows that enforce policies and optimize resources with CloudFlow ✅ Governance built directly into day-to-day operations ✅ Collaboration between finance, engineering, and operations through shared data 👉🏼 Learn more here: bit.ly/3WGR8SU #FinOps #CloudGovernance hashtag #AWS hashtag #CloudIntelligence