BMC Expands Multicloud Workflows With New Control-M Integrations
Dave Raffo and Steven Dickens from The Futurum Group analyze the latest Control-M and Helix Control-M plugins from BMC, which focus on public cloud services and mainframe modernization.
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The News: BMC added integrations for its Control-M and Helix Control-M application and data workflow orchestration tools. The new integrations include services from Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Read more in the Press Release on the BMC website.
BMC Expands Multicloud Workflows With New Control-M Integrations
Analyst Take: BMC is on a roadshow of client events in seven locations globally and took the opportunity provided by the flagship event in New York City to announce updates to its core Helix and Control-M offerings. BMC is on a monthly cadence of releasing integrations for its self-hosted Control-M and software as a service (SaaS) Helix Control-M offerings that help IT operations (ITOps) teams modernize operations and improve efficiencies. The integrations are plug-ins developed by BMC with its Application Integrator. Customers can also build their own or modify existing integrations with the free Control-M Application Integrator tool.
The new cloud service and data application integrations address core capabilities for companies that need to automate IT operations, increase efficiency, reduce costs, and improve customer experience (CX). The integrations expand BMC’s portfolio, which covers AI for IT operations (AIOps), DevOps, data operations (DataOps), service operations (ServiceOps), and autonomous operations (AutonomousOps) for mainframe, distributed, and cloud customers.
The complete set of integrations released in September includes:
- AWS Athena interactive query service for analyzing data directly in Amazon Simple Storage Service (S3) using standard SQL queries
- AWS Elastic Container Service (ECS) for running and managing containers on a cluster of EC2 instances or using AWS Fargate, a serverless compute engine for containers
- AWS Cloud Formation for collecting, provisioning, and managing related AWS and third-party resources
- AWS Mainframe Modernization for migrating, managing, and running mainframe applications in the AWS cloud
- Azure Resource Manager for creating, updating, and deleting Azure resources
dbt (Data Build Tool) cloud-based compute platform for developing and analyzing data models - Google BigQuery cloud computing platform for processing, analyzing, and storing data
- Google Cloud Platform Functions for developing, testing, and running apps in the cloud
- Google Cloud Dataprep for visualizing, formatting, and preparing data for analysis
- Google Cloud Deployment Manager service for automating creation and management of Google Cloud resources
- Tableau cloud-based data analytics platform for large data workloads
These wide-ranging integrations complement previous application, data, and infrastructure plugins that include AWS Sagemaker and Azure Machine Learning; Oracle Cloud Infrastructure (OCI) Object Storage; data processing and analytics solutions from Databricks and Snowflake; and BMC’s Workflow Insights Dashboard to track and monitor business workflows.
Looking Ahead for BMC
BMC is a major player in mainframe software with approximately 35%-40% of its revenue coming from the mainframe platform. What is often overlooked is that BMC also has a strong set of IT operations automation, scheduling, and observability tools. Helix plays a big part in tying those tools together. Its cross-platform discovery provides a mainframe-focused technical admin visibility on data from open systems and clouds. That capability goes a long way toward facilitating mainframe modernization initiatives. Adding integrations to Control-M makes Helix more valuable to these admins.
BMC under Ayman Sayed’s leadership has transformed from a sleepy but vital software company to one where its solutions are market-leading in key markets such as observability. With the observability market being disrupted by the proposed acquisition of Splunk by Cisco, it will be interesting to see how BMC drives adoption of its solutions going forward. A key part of this adoption will be feature velocity, and this regular cadence bodes well for overall customer adoption.
Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.
Other Insights from The Futurum Group:
BMC to Acquire Model9: What it Means for Mainframe Data
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