Online Distributed Systems Training in France

This instructor-led, live training in France (online or onsite) is designed for administrators and engineers who aim to design, deploy, and manage a multi-server BizTalk Server environment.

Upon completion of this training, participants will be able to:

• Install and configure BizTalk Server.
• Set up and manage BizTalk users.
• Establish and secure message routing within an organization.
• Configure EDI-based integration with external partners.
• Deploy, monitor, and manage business rules.
• Automate the deployment of BizTalk applications.
• Track, monitor, and analyze Business Activity.
• Plan and implement high-availability and disaster recovery solutions for BizTalk Server.

This instructor-led, live training in France (online or onsite) is aimed at admins and engineers who wish to design, deploy and manage a multi-server BizTalk Server environment.

By the end of this training, participants will be able to:

• Install and configure BizTalk Server.
• Set up and manage BizTalk users.
• Set up and secure message routing within an organization.
• Configure EDI-based integration with partners outside of the organization.
• Deploy, monitor, and manage business rules.
• Automate the deployment of BizTalk applications.
• Track, monitor and analyze Business Activity.
• Plan and implement high-availability and disaster recovery for Biztalk Server.
• Optimize the performance of BizTalk Server and its envrionment.
• Automate the monitoring of business activity.
• Troubleshoot runtime exceptions.
• Automate testing of Biztalk.
• Plan and execute systematic maintenance of Biztalk.

This instructor-led, live training in France (online or onsite) is aimed at DevOps engineers and developers who wish to use HashiCorp Nomad to deploy and scale applications with ease while reducing overhead on operations.

By the end of this training, participants will be able to:

• Install and configure HashiCorp Nomad.
• Deploy and manage containers and non-containerized applications.
• Manage resources, scheduling, and operations within a consolidated system.
• Enable scaling nodes and integration of services in a single cluster.

This instructor-led, live training in France (online or onsite) is aimed at DevOps engineers or developers who wish to use HashiCorp Vault to control access to passwords, database credentials, API keys, tokens, and certificates in an integrated system.

By the end of this training, participants will be able to:

• Install and deploy HashiCorp Vault.
• Understand and use the different services and components of HashiCorp Vault.
• Implement authentication methods, security policies, and execute administrative tasks to secure an infrastructure.
• Deploy and use HashiCorp Vault services on container orchestrators such as Nomad and Kubernetes.

This instructor-led live training in France (online or onsite) is targeted at IT administrators, software engineers, and developers who aim to use Apache Mesos to effectively manage resource workloads and applications in large-scale clustered environments.

By the conclusion of this training, participants will be able to:

• Install, configure, and run Apache Mesos for distributed systems.
• Manage resource sharing and allocation for multiple applications and frameworks.
• Implement scheduling mechanisms for managing tasks.
• Set up and use Marathon to handle container orchestration on Apache Mesos.

This instructor-led, live training in France (online or onsite) is designed for developers and programmers aiming to install, configure, and manage MPICH functionalities.

Upon completion of this training, participants will be equipped to implement, write, manage, and monitor MPI programs utilizing MPICH.

OpenCL is a standard for programming heterogeneous systems composed of CPUs, GPUs, and other processors. It provides a framework to define the platform in terms of a host (such as a CPU) and one or more compute devices (such as a GPU), along with a C-based programming language for writing programs for these compute devices. Using OpenCL, a programmer can write task-based and data-parallel programs that take advantage of these different types of processors in a single system.