Top 4 ways to manage IT performance in the cloud
As a result of rapid digital transformation over the last few years, technologists are looking to develop greater visibility into dynamic and complex cloud-native applications and technology stacks. They realize their traditional monitoring and application performance management (APM) tools aren’t optimized for the complexity of cloud-native environments. As a result, the ability to monitor IT performance and deliver seamless digital experiences to end users is being limited.
Now we’re seeing a major increase in the adoption of full-stack observability solutions across every industry. A new report reveals more than half of Canadian organizations (60 per cent) have now started the transition to full-stack observability, and a further 35 per cent plan to do so this year.
To address this growing problem and to gain more insight into cloud environments, it’s important for technologists to evaluate the solutions they are adopting. While much of the success of their digital transformation efforts relies on choosing technology that alleviates their immediate pain points; it must also meet their needs five and ten years down the line.
With this in mind, here are the top four ways technologists can manage IT performance in the cloud:
Technologists have the opportunity to implement a next generation solution that can observe dynamic cloud native applications at scale. Conventional monitoring solutions for on-premises and hybrid environments are still important, but there will be some limits to their functionality in cloud environments. For example, when new use cases are added to existing solutions, data can sometimes remain disconnected, meaning users are required to jump from tab to tab to try to identify the root causes of performance issues.
Bleeding edge applications are built differently from traditional apps. They’re also being managed by different IT teams with different skills and ways of working, increasing the demand for Site Reliability Engineers, DevOps and CloudOps. In order to be successful in their operation, they require a different kind of technology to track and analyze performance data, a solution that is customized to the needs of a cloud-native technology stack to make sense of short-lived microservices interactions with one another, which can be long gone once troubleshooting is done.
Technologists are spending more time and resources looking for and finding a solution that adopts open standards, offering a complete and correlated view of all telemetry data, especially OpenTelemetry which is emerging as the standard for cloud native applications.
In order to standardize the way telemetry data is collected and transmitted to backend platforms, OpenTelemetry plays an essential role in bridging the visibility gap by providing a common instrumentation format across all services.
