Online Distributed Systems Training in Norway

This instructor-led live training in Norway (available online or onsite) targets administrators 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.

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

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

• Install and configure BizTalk Server.
• Set up and manage BizTalk user accounts.
• Establish and secure message routing within the 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 strategies for BizTalk Server.
• Optimize the performance of BizTalk Server and its surrounding environment.
• Automate the monitoring of business activities.
• Troubleshoot runtime exceptions.
• Automate testing procedures for BizTalk.
• Plan and execute systematic maintenance for BizTalk.

This instructor-led, live training in Norway (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 Norway (online or onsite) is designed for DevOps engineers or developers looking 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 Norway (online or onsite) is tailored for IT administrators, software engineers, and developers who aim to leverage Apache Mesos to efficiently manage resource workloads and applications within large-scale clustered environments.

Upon completion of this training, participants will be capable of:

• Installing, configuring, and operating Apache Mesos for distributed systems.
• Managing resource sharing and allocation across multiple applications and frameworks.
• Implementing scheduling mechanisms for effective task management.
• Setting up and utilizing Marathon to handle container orchestration on Apache Mesos.

This instructor-led, live training in Norway (online or onsite) is aimed at developers and programmers who wish to install, configure, and manage MPICH features.

By the end of this training, participants will be able to implement, write, manage, and monitor MPI programs using MPICH.

OpenCL is a standard for programming heterogeneous computing 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 that run on these compute devices. By using OpenCL, programmers can develop task-based and data-parallel applications that leverage the capabilities of diverse processor types within a single system.