Search for tag: "performance"

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03:38 AIOps on IBM Z Decide: Root cause analysis AIOps on IBM Z Decide: Root cause analysis	AIOps on IBM Z Decide: Root cause analysis In this video, we will highlight how the AIOps for IBM Z framework can help you apply root cause analysis solutions to analyze issues and anomalies to isolate problems and identify root… aiops root cause analysis omegamon anomaly log analytics monitoring performance capacity watson aiops aiops automation itsm service management systems management it operations en-us english (u.s.) ctas in production From 1000003W0J 1000003W0J
03:33 AIOps on IBM Z Detect: Incident identification AIOps on IBM Z Detect: Incident identification	AIOps on IBM Z Detect: Incident identification In this video we will highlight how the AIOps for IBM Z framework can help you apply incident identification solutions to monitor hybrid infrastructure and applications to detect issues and… aiops incident omegamon observability anomaly analytics monitoring performance watson aiops aiops automation itsm service management systems management it operations en-us english (u.s.) ctas in production From 1000003W0J 1000003W0J
08:34 Demo: IBM Z AIOps solution and typical use case… Demo: IBM Z AIOps solution and typical use case 3: Enterprise observability and cross-platform cross-application performance anomaly diagnosis	Demo: IBM Z AIOps solution and typical use case 3: Enterprise observability and cross-platform cross-application performance anomaly diagnosis This video demonstrates how Instana on z/OS provides full end-to-end observability, benefiting both IT operators and mainframe experts to rapidly isolate and diagnose a problem without… ibm z mainframe aiops use case instana demo performance anomaly diagnosis aiops watson aiops aiops automation itsm service management systems management it operations en-us english (u.s.) ctas in production From 1000003W0J 1000003W0J
17:19 IBM Z AIOps solution and typical use case demo 3:… IBM Z AIOps solution and typical use case demo 3: Enterprise observability and cross-platform cross-application performance anomaly diagnosis	IBM Z AIOps solution and typical use case demo 3: Enterprise observability and cross-platform cross-application performance anomaly diagnosis This video demonstrates how Instana on z/OS provides full end-to-end observability, benefiting both IT operators and mainframe experts to rapidly isolate and diagnose problems without friction.… ibm z mainframe aiops use case instana demo performance anomaly diagnosis aiops watson aiops aiops automation itsm service management systems management it operations en-us english (u.s.) ctas in production From 1000003W0J 1000003W0J
58:11 Embracing Enterprise Observability with IBM… Embracing Enterprise Observability with IBM Instana	Embracing Enterprise Observability with IBM Instana A key business problem faced by organizations is the lack of visibility into applications and infrastructure. As they transform to modern practices they are finding their legacy solutions inadequate… automation instana performance management application performance en-us english (u.s.) ctas in production From chq_master_librarians
02:19 IBM Maximo: the journey towards a reliable energy… IBM Maximo: the journey towards a reliable energy grid	IBM Maximo: the journey towards a reliable energy grid By adopting a risk-based maintenance strategy, utilities can make data-driven decisions to build a more robust and reliable grid. With IBM Maximo Health and Predict - Utilities, a reliability manager… ibm maximo application suite energy & utilities reliability en-us english (u.s.) maximo application suite maintenance management asset health insight asset performance management apm ctas in production From chq_master_librarians
03:20 IT DevOps についてもう一度考えてみましょう IT DevOps についてもう一度考えてみましょう	IT DevOps についてもう一度考えてみましょうハイパー・デプロイメントの世界において、継続的統合と継続的デリバリー (CI/CD) の達成について考慮する際には、組織が「スクリプトをひっくり返す」ことがとても重要になると、IBM の自動化サービス・ソフトウェア担当副社長のChris Farrellは述べています。「デプロイメント間の日数についてではなく、期間ごとの更新数について話すべきです」と彼は語ります。… アプリケーション・パフォーマンス・モニタリング application performance management オブザーバビリティー devops プロセス it 運用 1_vx7txde4 ja-jp japanese ctas in production From chq_master_librarians
03:20 Repensons les technologies de DevOps informatique Repensons les technologies de DevOps informatique	Repensons les technologies de DevOps informatique Dans le monde actuel caractérisé par un hyper-déploiement, les organisations doivent impérativement réinventer complètement leur méthodologie pour… surveillance de la performance des applications gestion de la performance des applications observabilité processus de devops opérations informatiques 1_vx7txde4 fr-fr french ctas in production From chq_master_librarians
08:53 IBM IMS Performance Analyzer for z/OS and Modern… IBM IMS Performance Analyzer for z/OS and Modern Analytics Platform	IBM IMS Performance Analyzer for z/OS and Modern Analytics Platform IBM IMS Performance Analyzer for z/OS (IMS PA) has introduced a new feature that facilitates seamless integration with analytics platforms such as the Elasticsearch stack. With this update,… ims ims tools ims performance analyzer ims pa reports dashboards ims_db ims_tm ibm ims tools ims application development en-us english (u.s.) ctas in production From 1000003W0J 1000003W0J
04:52 TensorFlow on IBM Integrated Accelerator for AI… TensorFlow on IBM Integrated Accelerator for AI Video	TensorFlow on IBM Integrated Accelerator for AI Video IBM Telum features a dedicated on-chip AI Accelerator focused on delivering high-speed, real-time inferencing at scale. Learn how you can use this on-chip AI Accelerator with TensorFlow to create… ibmz tensorflow cloud pak for data ibm zsystems mainframe linuxone performance latency ai accelerator image classification z16 ibm telum en-us english (u.s.) From 55000AJF1R 55000AJF1R
32:04 Unit 12, Section 2: Database Variables,… Unit 12, Section 2: Database Variables, Monitoring Trends, and IWAITs	Unit 12, Section 2: Database Variables, Monitoring Trends, and IWAITs This video summarizes some of the database variables that you can use to improve the performance of your database system. This video also describes monitoring trends, and general rules for monitoring… ims self-paced course database performance tuning en-us english (u.s.) From 5500031CVP 5500031CVP
20:14 Unit 12, Section 1: Performance Evaluation Steps Unit 12, Section 1: Performance Evaluation Steps	Unit 12, Section 1: Performance Evaluation Steps This video outlines the steps you should take to create reasonable metrics for performance objectives, monitoring your database system, and taking corrective action to meet your objectives. ims self-paced course database performance tuning en-us english (u.s.) From 5500031CVP 5500031CVP
11:25 Unit 11, Section 7: Storage Controllers and DASD… Unit 11, Section 7: Storage Controllers and DASD Activity	Unit 11, Section 7: Storage Controllers and DASD Activity This video describes considerations for caching database reads and monitoring DASD activity. ims self-paced course database performance tuning en-us english (u.s.) From 5500031CVP 5500031CVP
14:07 Unit 11, Section 6: Logging Considerations Unit 11, Section 6: Logging Considerations	Unit 11, Section 6: Logging Considerations This video describes suggestions for minimizing the delays to IMS that are the result of the log writes. ims self-paced course database performance tuning en-us english (u.s.) From 5500031CVP 5500031CVP
10:20 Unit 11, Section 5: High Performance (HP) Unload… Unit 11, Section 5: High Performance (HP) Unload and Load Tools	Unit 11, Section 5: High Performance (HP) Unload and Load Tools This video describes the HP Unload and Load tools. HP Unload is a tool that is available from IBM. One of its functions is high speed sequential retrieve (HSSR), which is useful when performing… ims self-paced course database performance tuning en-us english (u.s.) From 5500031CVP 5500031CVP
04:12 Unit 11, Section 4: DL/I Call Image Trace Unit 11, Section 4: DL/I Call Image Trace	Unit 11, Section 4: DL/I Call Image Trace This video describes DL/I call image trace (DLITRACE), which is is an option that is part of IMS and is especially useful for diagnostic purposes or to establish a regression test baseline. ims self-paced course database performance tuning en-us english (u.s.) From 5500031CVP 5500031CVP