Compare IBM Cloud Schematics vs. Resolve in 2025

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Description

IBM Cloud® Schematics streamlines automation by utilizing declarative Terraform templates to achieve the intended cloud infrastructure setup. By seamlessly integrating with Red Hat® Ansible, it enhances configuration, management, and provisioning for both software and applications while also connecting with various IBM Cloud Services. Through Terraform-as-a-Service, DevOps teams can leverage a high-level configuration language to effectively model their desired resources in the cloud, thereby facilitating Infrastructure as Code (IaC). Effortlessly install software packages and application code on your infrastructure, allowing your team to build, deploy, and refine their automation processes. This approach significantly enhances the DevOps lifecycle, covering everything from planning and builds to software testing and application monitoring. Additionally, by utilizing Satellite alongside Schematics, organizations can automate the establishment of Satellite locations and Red Hat OpenShift® on IBM Cloud, streamlining operations and improving efficiency across the board. The combination of these tools fosters a more agile and responsive cloud infrastructure management strategy.

Description

Resolve is the number one IT automation and orchestration platform. It powers more than a million automations every single day, from simple, high-volume tasks, to complex processes that go far beyond what you think is possible. We have more than a decade experience in automation and know how to create an intelligent automation platform and orchestration platform to meet today's growing demands of IT Operations and Network Operations teams. Resolve powers millions of automations every day, many of which go far beyond what you might imagine is possible. It sounds impossible, but it is true. Ask the customers who have cracked the code to automate complex tasks such as PIM testing, updating active loads balancers, CUCM Onboarding in seconds, true end–to-end patch management and interfacing with Watson for NLP. They also maintain infrastructure in segregated networks or hybrid cloud deployments. Continue reading to learn how we do it.