複雑なIBM→AWS移行を、DoiTと共に加速
- 3
- 完遂した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にまたがる単一のAWS VPCに統合したIBM Cloudリージョン数
Voyager Labsは数十億のデータポイントを分析し、収集データから示唆に富むインサイトを引き出す基盤を必要としていました。1日あたり100億件のレコードを処理するため、毎秒12万イベント以上、1日約10 TBのデータ量に対応できる体制が求められていました。
DoiT Internationalは、伸縮性・マネージドサービス・セキュリティを軸にしたAWSベースのソリューションを構築しました。アーキテクチャには、データの取り込み・保存・処理・分析のためにAmazon Kinesis、Kinesis Firehose、Amazon S3、Amazon SageMakerといったAWSマネージドサービスを採用しています。
平均して1日に100億件のレコードが収集されています。1レコードあたり平均1 KBとすると、1日のデータ量は約10 TBに達します。データ取り込み基盤は、この量に追随するため毎秒12万イベント以上をさばく必要があります。
Voyager Labsは数十億のデータポイントを分析し、収集データから示唆に富むインサイトを引き出す基盤を必要としていました。この規模のデータ処理には、パフォーマンスとコスト効率を両立しながら膨大なデータをさばける堅牢なプラットフォームが不可欠でした。
検討を重ねた結果、DoiT Internationalは3つの要件を最優先に据えました。スムーズなスケーリングを支える伸縮性、開発スピードを高めるAWSマネージドサービス、そして一元的なガバナンスを実現するAmazon Identity and Access Managementによるセキュリティです。AWS Cloudは、安全かつ柔軟で、コスト効率にも優れたデータ収集・保存・分析プラットフォームを構築するための基盤となります。
DoiT Internationalによる導入後、Voyager Labsは伸縮自在にスケールするフルマネージドのSparkクラスター、Amazon S3移行によるディスク容量コストの300%削減、Amazon KinesisとKinesis Firehoseによるサーバーレスなデータ取り込み、そしてAmazon SageMakerによる一貫した研究環境といった恩恵を得ています。
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の向上をどのように支援するかをご覧ください。
“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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