Transformation: Business of DevOps
Continuous transformation in Operations are more than just industry buzzword. In fact, I would argue continuous transformation is a critical survival tool for any cloud and IT solution landscapes today. To achieve continuous transformation, innovation must continue well beyond a migration to the Cloud. This continuous innovation during day-to-day Operations is the most critical part of achieving month-over-month best-in-class operational benefits.
Simply “lifting and shifting” systems to the Cloud without modernizing precludes most of the key benefits that your systems can potentially deliver over the long term. For example, some of the outcomes of this approach, including bug fixes and other common errors, cause downtime and delays which businesses cannot afford in these highly competitive environments. In addition, unplanned downtime and disruptions impact revenue and can damage brand reputations, both of which detract from a business’s ability to compete and win in their market.
Proactive vs. Reactive
To stay ahead of the pack, service providers must now shift from a reactive posture to a very active and, even better, a proactive one. Error prevention is far more effective than fixing errors and resolving issues as they happen. To this end, successful service providers proactively cover the entire SAP landscape, end-to-end, through customized, out-of-the-box solutions. For example, proactivity is rapidly enhanced by including predictive analytics and other fault-finding algorithms in the software such as:
- Analytical Anomaly Detection
- Cloud-enhanced and optimized monitoring templates
- Self-healing automated reaction, from disk extensions, cluster & scaling groups to ensure an issue does not result in downtime, simply a post-event investigation.
Industry needs are also continually changing as business landscapes evolve. For example, being on the Cloud and using SLA measurement has now advanced to become mission-critical in two areas: Bottom-up technical SLAs (as per usual) and now, more importantly, top-down business transactional SLAs.
Through self-learning algorithms, the software learns and understands normal business operations and its reactions to irregularities and errors. Using this information, the software reacts appropriately when it detects errors, automatically restoring the business system to normal operations. These automated, exponential self-healing packs utilize innovative, continual logic learning as part of their standard software package. These systems also resolve issues in a fraction of the time it takes through traditional manual intervention. Typically, the end user doesn’t even realize that an error has occurred, improving the user experience dramatically.
The implementation of self-healing systems is relatively quick and can be done in as little as four weeks. As a result, IT teams will have access to advanced troubleshooting and automated diagnostic, enabling fast, root-cause analysis of any errors that occur—implementing the solution through guided prompts, and documents the resolution for future reference. And, if the same error occurs again, the solution will automatically be executed.
Automated self-healing systems offer a range of benefits, including business and IT cost reduction, decreasing unplanned downtime and risk-free digital footprint expansion for continuous transformation. IT professionals can work strategically, delegating mundane and repetitive tasks to automated processes, freeing time and resources to carry out more advanced tasks aligned to business goals.
Read more
We’ve Got the Juice: SAP on AWS with Lemongrass, Part 2 | We’ve Got the Juice: SAP on AWS with Lemongrass, Part 3
Published: DevOps.com
