Digital disruption and digital transformation are trending terms in the software-defined everything (SDx) space. That’s because the industry is experiencing disruption and transformation, and those revolutions impact the way enterprises monitor performance. In response to the changing SDx landscape, IBM advises that “an environment that incorporates both DevOps and end-to-end application performance management (APM) is critical to keeping pace with iterative, responsive, and agile development cycles.”
APM is the tool that monitors an application’s health, analyzes data logs, and generates alerts to the appropriate IT personnel. The tool gathers data and detects bottlenecks that prevent the user from employing the application. It’s necessary for enterprises to invest in this type of tool. Another tool that enterprises may use to monitor their applications is a converged solution of APM and network performance management (NPM) called unified performance management (UPM). UPM condenses the number of tools an enterprise needs to monitor both their network and applications.
The IBM APM Solution Implements DevOps
IBM states that DevOps affects the three pillars of software development: people, processes, and tools. And it helps companies stay innovative by continually learning and advancing. In its “DevOps for Dummies” eBook, the company defines DevOps as “a cultural practice that emphasizes collaboration and orchestration across the entire organization, including business stakeholders, development, testing, deployment, operations teams, customers, and partners while automating and delivering software. “
The IBM APM guidance recognizes the role that DevOps plays in APM and highlights the importance of collaboration across teams. The eBook points to four areas to monitor that benefits from DevOps implementation:
- Continuous delivery,
- Continuous security,
- Continuous availability,
- And continuous insights.
In a blog post, IBM further mentions APM best practices when it comes to DevOps: The microservice code should measure latency and transmit the data to the APM tool versus collecting the metric at the log level. And the APM tools should track and display data for all the microservices in operation. The collection of microservices data allows the IT team to diagnose which microservice is having performance issues.