IBMからAWSへの複雑な移行を、DoiTとともに加速
- 3
- 提供したAWS MAPフェーズ:Assess、Mobilize、Modernize
- 40
- 4層トポロジーを維持したまま1:1で移行したサーバー数
- 2→1
- 複数AZにまたがる単一AWS VPCに統合したIBM Cloudリージョン数
PerimeterXは、リアルタイムセキュリティSaaSで最高のパフォーマンスを発揮させる必要がありました。当時はマルチクラウド構成でしたが、顧客に業界トップクラスの性能を届けるため、最速のクラウドプロバイダーへの集約を模索していました。
PerimeterXとDoiTは、Compute Engine上のPremium Tier NetworkingとCloud Load Balancingを組み合わせ、応答時間を最適化しました。さらにBigQueryをIaaS型のデータウェアハウスとして採用し、すべてのインフラをGoogle Cloud Platformへ移行。きめ細かな料金体系を活かしてコスト効率を高め、追加のコスト削減策としてPreemptible VMの活用も検討しました。
私たちはSaaSの速度をどこまで突き詰められるか試したいと考えていました。多くのクラウドベンダーはSLAを提示するだけで終わってしまいましたが、Googleのネットワーキングチームは新しいアプローチの模索に積極的に乗ってくれました。協力の結果、応答時間を20〜40%短縮できました。
Elad Amit, Director of Platform Development, PerimeterX
PerimeterXは、リアルタイムセキュリティSaaSで最高のパフォーマンスを発揮させる必要がありました。当時はマルチクラウド構成を採用していましたが、顧客に業界トップクラスの性能を届けるため、最速のクラウドプロバイダーへの集約を目指していました。
PerimeterXとDoiTは、Compute Engine上のPremium Tier NetworkingとCloud Load Balancingを組み合わせ、応答時間を最適化しました。バックエンドを支えるIaaS型のデータウェアハウスとしてBigQueryを採用し、すべてのインフラをGoogle Cloud Platformへ移行。きめ細かな料金体系を活かしてコスト効率を高め、追加のコスト削減策としてPreemptible VMの活用も検討しました。
PerimeterXはGoogleの製品チームと密に連携し、新たなアプローチを次々と試しています。現在ではストリーム処理にCloud Dataflowを活用し、CI/CDパイプラインにGoogle Kubernetes Engineを組み込むことで、開発サイクルのさらなる高速化を進めています。
DoiTとともにGoogle Cloudを活用することで、PerimeterXはパフォーマンスとコスト効率の両面で大きな成果を得ました。応答時間は20〜40%短縮、きめ細かな料金体系によりコスト効率を見極め、自社構築なしでスケーラブルかつ柔軟なデータウェアハウスを運用しています。
Cloud Intelligence™が、クラウド環境全体の可視性・ガバナンス・ユニットエコノミクスをどう高めるかをご紹介します。
“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
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
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