Ninety percent of participants in Broadcom’s recent research survey acknowledged that issues in automation are directly contributing to breaches in Service Level Agreements (SLAs). These breaches are not just isolated incidents but a recurring theme that is impacting businesses significantly. On top of that, 61% report SLA breaches monthly or more frequently.
The direct consequences of these breaches include increased operational costs, a reduction in revenue, and a noticeable dip in customer satisfaction levels.
A significant number of companies are struggling with automation and observability solutions resulting in tool sprawl. The survey showed that while 80% of companies use three or more automation platforms, and 74% employ a similar number of observability tools, these systems are falling short in providing essential visibility and critical data.
Alarmingly, 74% of these companies face ‘alert storms’ that complicate issue identification and delay resolution, and an equal percentage lack end-to-end visibility of their automated business processes. Also, 68% are unable to predict if delays in automation will lead to breaches in SLAs. Only 28% of companies possess tools capable of predicting and preventing issues in automation, underscoring a significant gap in effective automation management and foresight.
“Simplification is the key to successful workload automation, as too many tools create an overly complicated environment while not addressing the observability needed to be proactive and not reactive,” said Aline Gerew, head of automation of the Agile Operations Division at Broadcom. “End-to-end visibility and predictive tools will enable businesses to reduce the impact of issues, resulting in improved business outcomes.”
According to Broadcom, there is a clear demand for fewer, more efficient solutions that offer comprehensive end-to-end visibility across all environments and automated business processes. This shift is essential for enhancing customer satisfaction and safeguarding the business against potential risks associated with automation failures.
