Are your COBOL applications straining your mainframe’s capacity?
Your COBOL applications have reliably powered the most critical operations of your enterprise for decades. Unique to your business, they are among your most valuable assets. Today, your success demands these applications process ever-increasing workloads. As batch processing consumes more General Processor resources, you may have less room for new and growing workloads. What if you could reclaim the capacity to support what’s next?

zIIP™によるワークロード最適化の利点
- Redistribute workloads
- Reclaim GP capacity
- 新しいワークロードを導入
- Maximize IBM Z investment
- Leverage zIIP
- Improve resource utilization
- メインフレームを継続
- COBOLをそのまま活用
- 書き換えやリプレイスを回避
- Introduce new applications
- Accelerate AI deployments
- Drive digital transformation
移行の甘い言葉に惑わされないでください
When processing demands push your General Processor (GP) to capacity limits, you have less room for growth. Migration projects may promise relief, but moving mission-critical data or rewriting applications poses unpredictable timelines and unacceptable risks. Fortunately, there is a smarter way to reclaim mainframe capacity and create space for growth without jeopardizing business continuity.
Take the smart path: Redistribute workloads efficiently
Smarter workload optimization makes this possible. By redistributing your COBOL workload across your mainframe’s available processing resources, you immediately reclaim valuable GP capacity for new and growing workloads and system resilience improvements. It’s a straightforward way to optimize the resources you rely on today while ensuring your infrastructure supports what comes next.
JOPAZ
A risk-free path to greater efficiency and performance
With JOPAZ, you can optimize COBOL workloads to free up capacity without disrupting business operations. Don’t risk compromising your business—keep what works. Create space to grow and innovate by dramatically reducing COBOL batch workloads running on the general processor by over 80%.
- Reclaim over 80% of GP capacity for COBOL batch workloads
- Free up space for new and growing workloads
- COBOLコードを維持しながら ビジネス継続性を確保する低リスクなアプローチを実現
JOPAZの仕組み
COBOL を Javaにコンパイル
JOPAZ compiles the source code of high-utilization COBOL workloads into Java bytecode at runtime, making them eligible to run on zIIP.
Redistribute workload to zIIP
JOPAZ then redistributes the Java-compiled COBOL workloads to Java Virtual Machines (JVMs) running on IBM zIIP, freeing capacity on the General Processor. No code rewrites, code conversion, or developer retraining needed.
Access data sources
Maintain reliable access to Db2®, Adabas, VSAM files and sequential files on z/OS with optimized runtime support. Dynamic and static SQL access to Db2 continues seamlessly, while JOPAZ JDBC connectivity can allow you to redistribute up to 60% of Db2 workload to zIIP for compounded capacity optimization.
Optimize performance for JCL and batch integrations
JOPAZの最適化されたランタイムはDFSORTおよびSyncsortに対応しており、既存のJCLワークフローをそのまま維持できます。外部の3GLやアセンブラのルーチンもシームレスに統合でき、既存のバッチ処理環境と完全な機能互換性を確保します。
お好みのツールで開発・デバッグ
JOPAZ leaves your COBOL source code untouched. You can continue to use traditional COBOL development tools or modernize the developer experience with other Eclipse-based environments. Adopt DevOps practices with a distributed version control system like Git. JOPAZ supports all these options.
IBM Zでビジネス継続性を確保
Keep the IBM Z performance, security, and reliability your business depends on while dramatically reducing COBOL batch workloads running on the general processor by over 80%. With JOPAZ, you can avoid the risks of rip & replace and keep your business running without disruption.
Ready to see how JOPAZ can modernize your COBOL workload processing and reclaim mainframe capacity?
こちらもご覧ください

メインフレームのCOBOLワークロードを削減する
Use JOPAZ to redistribute COBOL workloads off your central processor, immediately reduce MIPs and free up capacity for innovation.

電子書籍:メインフレームをデジタルに接続する3つの方法
既存データの再活用、ユーザー体験のモダナイゼーション、クラウドアクセスの実現、複数チャネルでの提供に対応することを通じて、メインフレームをデジタルエンタープライズに統合しましょう。

デジタルイノベーションとクラウド分析のためのメインフレームデータ統合
メインフレームのデータを活用して、より良い意思決定と顧客サービスを実現。適切なハイブリッドアーキテクチャなら、オンプレミスアプリケーションとクラウドプラットフォームの間でシームレスな運用が可能になります。