It’s Time to Consider Workload Automation in the Context of DevOps
June 3, 2019 2:27 pm
“DevOps.” Everyone is talking about it these days, but what does this term mean exactly? Although the name is clearly a reference to the Development and Operations teams in the software development life cycle, DevOps can also be considered a process approach that addresses optimization and engages all stakeholders involved in the development, delivery, and use of software.
The DevOps perspective assumes a state of continuous change and requires agility from all areas of an organization, including business units and executives in addition to the development and operations teams. Companies must continuously plan, test, improve, deliver, integrate, and monitor their products or services to remain resilient in a competitive and ever evolving marketplace.
For enterprises of all sizes, the broader application of DevOps principles can increase operational efficiency and improve business outcomes. However, to fully realize the benefits of a DevOps approach and optimize mission critical processes, companies need effective cross-functional collaboration in addition to rapid problem identification and resolution. In the world of Workload Automation, this can be challenging to achieve.
The majority of job scheduling solutions are large, legacy systems that do not play well with one another. Organizations with multiple schedulers in place across multiple platforms and multiple business units struggle to comprehensively understand their entire workload environment. The complexities of these types of systems and the operational differences between teams inherently lead to inefficiencies that cannot be addressed without the right tools and processes in place.
In today’s fast-paced, technology-driven business environment, it is strategically imperative for enterprises to increase the agility of Workload Automation and assess the impact of deployed workload changes in the context of DevOps. Workload Automation is a critical part of the software development life cycle and software supply chain. It is also a key operational driver for front-end business applications and overarching business goals.
To optimize workload processing, Terma Software’s intelligent analytics-driven platform integrates seamlessly into multi-platform and multi-vendor workload environments and enables the effective application of DevOps principles to Workload Automation. With TermaANALYTICS, enterprises can plan changes to their workload environments, build and test the most accurate production-like systems, and continuously monitor and verify that no SLAs are breached.
Additionally, Terma Software’s AIOps solution provides a common toolset across teams and throughout the software development life cycle. TermaANALYTICS can be used from the point of moving jobs into test environments, through staging, into production and the management of production, and with visibility by line of business users. This level of integration, communication, and collaboration enables the benefits of a DevOps approach for Workload Automation. Contact us to learn more about how we can help strengthen your enterprise.