Operations | Monitoring | ITSM | DevOps | Cloud

Having achieved almost consumer-grade accessibility, public cloud adoption is increasingly driven by individual business functions. Enterprise teams no longer need to understand how the technology works, or even where the service operates from. To buy a cloud product they just need a web browser and a credit card. But this level of simplicity raises challenges of its own when it comes to regulatory concerns.

The hospitality industry has a broad variety such as restaurants, cafes, hotels, lodging, food & drink services, event planning and management, travel, and tourism. For small size organizations managing inventory is not a big issue but when their business grows managing inventory becomes hectic and complicated. Since the hospitality industry is full of inventory and important assets that is why inventory management in the hospitality industry is crucial to running the business efficiently.

Not many years ago, the role of the data steward was the domain of the world’s largest organizations. When I was in college, the only person I heard of with this job title worked for one of Detroit’s Big Three automakers. Even as mainframes were supplanted by other computing paradigms, only sprawling corporations with intensive electronic data processing needs could possibly have enough information to justify a full-time staff member charged with overseeing it all.

When you migrated critical infrastructure to the cloud, what were your goals and expectations? Odds are, you hoped leaving on-premises infrastructure would produce significant organizational benefits. You probably figured you’d streamline operations and reduce management overhead. You felt you’d have an easier time meeting business goals. Perhaps most important of all, you likely expected your environment would become less complex, and even cost less to operate.

In a previous blog post, Adam Quan presented a great introduction to setting up observability for a Spring Boot application. For metrics, Adam used the Prometheus Java Client library and showed how to link metrics and traces using exemplars. However, the Prometheus Java Client library is not the only way to get metrics out of a Spring Boot app. One alternative is to use the OpenTelemetry Java instrumentation agent for exposing Spring’s metrics directly in OpenTelemetry format.

Observability and monitoring is a fundamental part of the contact center environment. When there are thousands of live voice and other multi-channel interactions happening, it is crucial to keep a close eye on the system because any issue in service gives an instant blow to the customer experience. Asterisk is a free and open source framework for building communications applications and is sponsored by Sangoma.

Setting up Service Level Objectives (SLOs) is one of the foundational tasks of Site Reliability Engineering (SRE) practices, giving the SRE team a target against which to evaluate whether or not a service is running reliably enough. The inverse of your SLO is your error budget — how much unreliability you are willing to tolerate.