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A DoiT conduziu a migração da ETC do on-premises para o Google Cloud com BigQuery, GKE e Cloud SQL, acabando com paradas em produção e viabilizando implantações com autorrecuperação.
A ETC precisava modernizar sua infraestrutura de TI on-premises para gerenciar, com bom custo-benefício, grandes volumes de vídeos e imagens captados nas rodovias. O ambiente existente travava as metas de gestão de dados e analytics conforme a empresa expandia a operação para mais estados dos EUA.
A ETC se uniu à DoiT para migrar para o Google Cloud, implementando BigQuery, Google Kubernetes Engine, Cloud SQL e Cloud Storage. A DoiT trouxe orientação especializada em estratégia de IAM, adoção do Kubernetes e recursos nativos da nuvem para acelerar a transformação.
O Google Cloud e a DoiT nos permitiram atingir e até superar muitas das nossas metas de transformação de TI. A parceria nos deu condições de projetar e implantar rapidamente uma infraestrutura rodoviária moderna, com a flexibilidade e a agilidade de que nossos clientes precisam.
Joshua LittleSun, Diretor de Tecnologia Rodoviária, ETC
A ETC é uma provedora de tecnologia de pedágio que há mais de duas décadas ajuda estados americanos como Califórnia, Washington, Texas, Colorado, Illinois e Louisiana a modernizar seus sistemas de cobrança de pedágio. A empresa coleta volumes enormes de vídeos e imagens das rodovias, mas enfrentava dificuldades para gerenciar esses dados com bom custo-benefício em uma infraestrutura on-premises.
A ETC percebeu que precisava de expertise em nuvem que ia além do conhecimento que tinha em ambientes on-premises. Escolheu a DoiT como Google Cloud Premier Partner para conduzir a migração. A DoiT trouxe orientação especializada em protocolos de gestão de identidade e acesso e apoiou a ETC na adoção do Google Kubernetes Engine, viabilizando implementações mais rápidas dos sistemas de pedágio.
A ETC transformou a forma de gerenciar dados com BigQuery, Google Cloud Storage e Cloud SQL. A migração melhorou o uptime, a disponibilidade e a capacidade de retenção de dados. A configuração de ambiente, que antes exigia dez pessoas por três a quatro dias, hoje é feita em três dias por apenas duas pessoas usando GKE e Cloud Load Balancing.
A ETC segue contando com o suporte da DoiT para otimização de custos e orientação técnica. A empresa está avaliando o Anthos para modernização de aplicações e considerando Cloud Run, Cloud Functions e serviços de IoT. O novo framework aproxima as equipes de gestão de infraestrutura e os desenvolvedores, dando espaço para pensar grande na transformação para a nuvem.
Conheça como o Cloud Intelligence™ ajuda as equipes a ampliar visibilidade, governança e unit economics nos ambientes de nuvem.
“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
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