IBM: Cloud Paks
An open, faster, more secure way to move core business applications to any cloud
-
Cloud Paks — enterprise ready-to-use solutions run on Red Hat OpenShift
-
Container software, pre-packaged in production-ready configurations
-
Built with security in mind, from image build through to deployment and runtime
-
Quick and easy deployment to Kubernetes-based container orchestration platforms
-
In your data center or in the cloud of your choice
-
Built-in expertise based on IBM’s best practices
Six Cloud Paks Available
Cloud Pak for Multicloud Management
Designed to enable IT operations execs to manage applications across clouds with consistent visibility, governance and automation across a range of multicloud management capabilities such as infrastructure, application, multicluster, edge and integration with existing tools and processes.
Combines three offerings into one: IBM Multicloud Manager, IBM Cloud Automation Manager, IBM Cloud App Manager
Use Cases:
-
Ensure applications deliver continuous business value with dynamic monitoring and problem resolution
-
Deliver a secure multicloud deployment, upgrade and management with consistency
-
Provide end-to-end operations and security management across hybrid/multicloud
IBM Cloud Pak for Applications
Designed to enable developers and testers to build, deploy and run apps in a modern, micro-service based environment. It also allows IT Architect/LOB leaders to increase the efficiency of their operations and accelerate digital transformation.
Use Cases:
-
Connect all data for self-service analytics
-
Operationalize AI with trust and transparency
-
Dynamically build and deploy cloud-native data and AI workloads
IBM Cloud Pak for Data
Designed to enable data architects, data engineers, data scientists and business analysts to collect, organize and analyze data and accelerate their journey to AI to successfully infuse AI into the business. It’s essentially a multicloud data and AI platform delivering an information architecture for AI
Use Cases:
-
Connect all data for self-service analytics
-
Operationalize AI with trust and transparency
-
Dynamically build and deploy cloud-native data and AI workloads
IBM Cloud Pak for Integration
Designed to enable IT architects and integration executives to integrate applications, data, cloud services and APIs.
Use Cases:
-
Cloud and SaaS integration (e.g. connect Workday to the payroll system)
-
Respond to real-time events to optimize customer offers
-
Create a secure API portal for clients and partners
IBM Cloud Pak for Automation
Designed to enable chief operating officers and operations execs to transform business processes, decisions and content.
Use Cases:
-
Improve employee productivity by automating mundane clerical tasks and assisting knowledge work
-
Accelerate customer-facing processes and ensure consistent experiences
-
Increase visibility by collecting and visualizing operational data to optimize business processes
IBM Cloud Pak for Security
Security data is frequently spread across different tools, clouds and on-premise IT environments, creating gaps that allow threats to be missed. More than half of security teams surveyed have stated that they struggle with integration between security analytic tools and cloud infrastructure.
IBM Cloud Pak for Security provides a platform to quickly integrate existing security tools to generate deeper insights into threats across hybrid, multicloud environments, using an infrastructure-independent common operating environment that runs anywhere. It quickly searches for threats, orchestrates actions and automates responses—all while leaving data where it is.
-
Installs easily in any environment--on-premises, private cloud or public cloud
-
Connects to all security data sources for analysis where it resides through the use of open standards and ecosystems
-
Supports IBM and third-party tools to search for threat indicators and behaviors across any cloud or on-premises location
-
Connects security workflows with a unified interface, allowing faster response to security incidents, orchestrating and automating the incident response process