This document provides an introduction to using Job Control Language (JCL) and the System Display and Search Facility (SDSF) on IBM mainframe systems. It explains the basic components of JCL, including the JOB, EXEC, and DD statements. It also describes how to create JCL procedures, override procedure statements, and use utilities and system libraries. The document concludes by explaining how SDSF allows users to monitor jobs, view outputs, and issue commands to the operating system.
The document discusses problems with traditional software deployments and introduces Rancher as a container orchestration platform to help address these problems. It notes that software deployments are often difficult, requiring many steps and being prone to break due to dependency or version issues. Rancher helps manage container-based deployments across server environments through services, stacks, and a microservices architecture. It allows for easier sharing of builds between engineers and isolates services to improve fault diagnosis and software updates.
This document discusses how insurance companies use MongoDB. It provides examples of how MongoDB allows insurance companies to create a single customer view, consolidate data from multiple disparate systems, and distribute claims information globally in real-time. MongoDB provides a flexible schema, automatic replication of data, and the ability to query data locally for improved customer experience, risk analysis, fraud detection, and claims processing. The document highlights several insurance companies that have adopted MongoDB to unify customer data, modernize legacy systems, and power new data-driven applications and services.
The document provides an introduction to JBoss Application Server, including its history, architecture, components, installation process, directory structure, and how to start and stop the server. It also discusses the JBoss Administration Console and JMX Console for managing and monitoring the application server.
This document discusses AWS Step Functions and provides an overview of its key features and components. It introduces AWS Step Functions as a way to visually coordinate distributed applications using a series of steps defined as a state machine. It then covers the Amazon State Language used to define state machines, and explains how state machines are executed including starting execution and viewing results. It also discusses how activity tasks can be used to execute applications outside of Lambda in a pull-based manner.
The document discusses problems with traditional software deployments and introduces Rancher as a container orchestration platform to help address these problems. It notes that software deployments are often difficult, requiring many steps and being prone to break due to dependency or version issues. Rancher helps manage container-based deployments across server environments through services, stacks, and a microservices architecture. It allows for easier sharing of builds between engineers and isolates services to improve fault diagnosis and software updates.
This document discusses how insurance companies use MongoDB. It provides examples of how MongoDB allows insurance companies to create a single customer view, consolidate data from multiple disparate systems, and distribute claims information globally in real-time. MongoDB provides a flexible schema, automatic replication of data, and the ability to query data locally for improved customer experience, risk analysis, fraud detection, and claims processing. The document highlights several insurance companies that have adopted MongoDB to unify customer data, modernize legacy systems, and power new data-driven applications and services.
The document provides an introduction to JBoss Application Server, including its history, architecture, components, installation process, directory structure, and how to start and stop the server. It also discusses the JBoss Administration Console and JMX Console for managing and monitoring the application server.
This document discusses AWS Step Functions and provides an overview of its key features and components. It introduces AWS Step Functions as a way to visually coordinate distributed applications using a series of steps defined as a state machine. It then covers the Amazon State Language used to define state machines, and explains how state machines are executed including starting execution and viewing results. It also discusses how activity tasks can be used to execute applications outside of Lambda in a pull-based manner.
This document discusses Windows security context and concepts such as logon, access checks, and User Access Control (UAC). It covers how Windows uses Logon Sessions and Access Tokens to manage a user's security context after logon. It also explains key concepts like Security Identifiers (SIDs) and how they are used to identify users and grant permissions to securable objects through Access Control Lists (ACLs). The document notes that UAC creates separate standard user and administrator logon sessions to filter administrator privileges for non-administrative tasks.