During an online BMC Exchange event, BMC announced it expanded its portfolio of IT management offerings as part of an ongoing effort to unify traditional IT service management and DevOps processes under an integrated ServiceOps framework.
The latest additions to the BMC portfolio includes an update to its Control-M workload automation platform that adds observability tools for monitoring application and data workflows along with additional integrations for cloud services such as AWS Glue, Google Cloud Dataflow and Function and Microsoft Azure Data Factory and platforms such the data lake from Databricks.
BMC is also making available a preview of a Control M Python client that will extend the reach of the workload automation platform to the code data science teams employ to build artificial intelligence (AI) models.
In addition, BMC is adding a BMC Helix Digital Workplace studio to make it easier for IT teams to customize the software-as-a-service (SaaS) platform it provides for IT service management (ITSM). Finally, BMC is also making available a version of BMC Helix that is optimized for communications service providers.
BMC CEO Ayman Sayed said overall the current emphasis on digital business transformation is driving a need to converge the management of multiple IT platforms as organizations reinvent how core processes work across their organization. It’s not possible to drive that level of reengineering across multiple IT platforms without centralizing the management of those platforms using a ServiceOps framework that unifies DevOps and existing ITSM platforms, he noted.
At the same time, Sayed said organizations need to invest more in artificial intelligence to automate IT operations, also known as AIOps, to augment IT staff that is hard-pressed by the need to manage both emerging and legacy IT platforms. The latest investment BMC has made in AIOps came earlier this month with the acquisition of StreamWeaver, a provider of a set of tools that make it easier to collect massive amounts of data that can be used to more easily train AI models.
It’s too early to say to what degree IT management processes might become unified. In addition to centralized IT teams, most organizations have business units that often drive their own IT initiatives. However, as organizations realize how many platforms a digital process needs to access the need to centralize the management of IT becomes more apparent. The issue each organization will need to determine is the degree to which that centralization needs to occur.
It’s clear in the wake of the COVID-19 pandemic that many IT organizations have never been more agile. In some cases, those IT teams are now able to drive a rate of change that is too fast for many businesses to even absorb. In fact, it’s arguable that entire businesses will need to adopt DevOps principles to manage that rate of change.
In the meantime, IT teams will need to take a harder look at how much time is being spent on manual tasks that could be automated in a way that enables them to be lot more productive than they are today.