Seminare zum Thema Server

Overview

Learn how to design, implement, reorganize, and recover Information Management System (IMS) databases. Practice these skills in intensive machine labs.

This course uses a Web conference medium with live instructor audio and Internet Web conferenced material. You have chat-type Question and Answer (Q and A) ability, plus live audio. The course is taught 10:00 a.m. to 12:00 noon and 1:00 p.m. to 3:00 p.m. Central time for eight work days over a two-week period. Since the course is taught live using Web conferencing methods, you can attend from your home or work. Class durations are approximately one-half day so you can still accommodate daily work responsibilities. You will be contacted prior to class start to receive connection information, hardcopy student materials, and other relevant information.

Course Materials

You will be contacted prior to class start to receive connection information, hardcopy student materials, and other relevant information.

Overview

This course covers the installation, configuration, use, customization, integration of Tivoli Network Manager 4.2 with Network Operations Insight, and network monitoring using the Network Manager pollers. The workshop includes approximately 40% lecture and 60% hands-on exercises. The workshop begins with a basic overview of product components and their associated functions. You configure Tivoli Network Manager and perform a full discovery of simulated networks. To further understand the intricacies of the discovery cycle, you customize discovery by changing the behavior of finders and agents. You also learn to create real-time MIB graphs, control polling behavior, connect isolated networks through manual map editing, and use the reporting functions of IBM Tivoli Network Manager. You also learn to use the Network Health Dashboard and create custom dashboards.

Overview

With IBM Turbonomic, your cloud investments are smarter, automation is easier, and you can finally realize the promise of agility, elasticity and speed to market. It is an ideal solution for organizations adopting 

Overview

This course is designed to describe the features and functions of Fast Path both from a capability and an implementation perspective.

Dieses Seminar vermittelt das notwendige Wissen und die Fähigkeiten, um die technischen Aspekte beim Entwurf einer serviceorientierten Architektur für mittlere und große Systeme zu beherrschen. Am Ende dieser Schulung haben Sie das Rüstzeug, um technische Aspekte einer SOA in einer Referenzarchitektur zu berücksichtigen und technische Fragestellungen beim Entwurf von Services und der Kommunikation zwischen Services zu lösen. Durch den Besuch dieser Schulung erhalten Sie 10 Credit Points in Methodischer und 20 Credit Points in Technischer Kompetenz.

Dieses Seminar ist Teil des Qualifizierungsplans Software Architekt mit und ohne ISAQB CPSA-Zertifizierung.

Weitere Informationen zu ISAQB – Certified Professional for Software Architecture (CPSA)   ...

Overview

Learn a methodology to improve the performance of a large-scale z/OS IMS/TM data communication system. This course explains the impact of user-specified options on IMS performance, how to determine performance bottlenecks by interpreting information from certain performance reports, and how to use the information gained to implement a plan to improve the performance of an IMS system.

Overview

Learn all aspects, including installation, implementation, and management of the Database Recovery Control (DBRC) system of Information Management System (IMS). DBRC is an IMS facility that provides database recovery, and facilitates database sharing, between IMS systems in all IMS environments including DB/TM Data Base Control (DBCTL) and Batch. Reinforce the concepts and skills you have learned with machine labs.

This course is taught in a Web conference medium with live instructor audio, and Internet Web conferenced materials. You have chat type Question and Answer (Q and A) ability, plus live audio. The course is taught 10:00 a.m. to 12 noon and 1:00 p.m. to 3:00 p.m. Central time for eight work days over a two week period. Since the class is taught live using Web conferencing methods, you can attend from your home or work. Class durations are approximately one-half day so you can still accommodate daily work responsibilities.

Course Materials

Course materials will be provided in softcopy format and possibly hardcopy format also. You will receive connection software and usage information.

This course covers the following concepts:

• Interfacing with AWS Services
• Deconstructing a monolithic architecture
• Migrating to the cloud
• Creating an infrastructure
• Declare and isolate dependencies
• Storing configuration in the cloud
• Establish a build, release, run model
• Creating the codebase
• Deploying an application
• Evolution of architecture
• Design patterns
• I/O explosion and preventing it
• Microservices

Modul 1: Bewährte Praktiken für die Anwendungsentwicklung

Themen:

• In diesem Modul werden Best Practices für die Entwicklung von Anwendungen vorgestellt, die in der Cloud laufen.

Zielsetzungen:

• Erörterung bewährter Verfahren für die Anwendungsentwicklung in der Cloud.
• Beschreiben Sie Muster zur Verbesserung der Stabilität und Zuverlässigkeit von Cloud-Anwendungen.

Aktivitäten:

• 1 Quiz

Modul 2 - Erste Schritte mit Google Cloud Development

Themen:

• In diesem Modul werden die verschiedenen Google Cloud-Tools vorgestellt, die Sie zur Entwicklung Ihrer Anwendungen verwenden werden.

Zielsetzungen:

• Erläutern Sie, wie Sie mit dem Google Cloud SDK mit Google Cloud-Diensten interagieren können.
• Beschreiben Sie, wie Cloud Client Libraries in Ihren Anwendungen verwendet werden können.
• Diskutieren Sie, wie Cloud Code Entwicklern hilft, Cloud-Anwendungen auf Google Cloud zu erstellen.

Aktivitäten:

• 1 Quiz

Modul 3 - Datenspeicherungsoptionen

Themen:

• Dieses Modul vergleicht die von Google Cloud angebotenen Datenspeicher- und Datenbankdienste.

Zielsetzungen:

Verstehen, wie man die geeignete Datenspeicheroption f...

Mit modernsten CI/CD- und MLOps-Methoden zur produktiven Machine Learning Anwendung

Wie automatisiere ich das Deployment einer Machine Learning Anwendung? Wie organisiere ich den Development Lifecycle, um die Robustheit der Anwendung sicherzustellen? Das  Seminar zeigt Ihnen, wie Sie Softwareentwicklungs-Werkzeuge wie u.a. Versionierung, Pipelines, Development- und Produktionsumgbung, APIs und Container in der Praxis nutzen können, um produktive Anwendungen zu schaffen.