Intelligent CIO Middle East Issue 82 | Page 37


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This is why we are seeing an acceleration in the adoption of full-stack observability solutions across every industry . The latest AppDynamics report , The Journey to Observability , reveals that 55 % of businesses in the UAE have now started the transition to full-stack observability and a further 38 % plan to do so during 2022 .

However , in the rush to make the transition to fullstack observability and consequently generate more data and insight into cloud environments , it ’ s vital for technologists to think carefully about the solutions that they are implementing . They need to ensure they select technology that not only addresses their immediate pain points , but that will also be future-proofed as they continue on their Digital Transformation journey .
To that end , here are four crucial areas for technologists to consider when thinking about observability in the cloud :
Modern cloud-native environments require new generation observability solutions
Technologists should be looking to implement a new generation solution which can observe distributed and dynamic cloud-native applications at scale . Traditional monitoring solutions continue to have a huge role to play , but there will increasingly be certain limits to their functionality in cloud environments . For instance , when new use cases are added to existing solutions , data can sometimes remain disconnected , which requires users to jump between tabs in order to identify the root causes of performance issues .
There is an inherent difference in the way traditional and future applications are built and they ’ re being managed by different IT teams with different skills and ways of working – that ’ s why we ’ re seeing a massive demand for Site Reliability Engineers , DevOps and CloudOps . These new teams require a completely different kind of technology to track and analyse performance data . They need a solution that is truly customised to the needs of a cloud-native technology stack to decipher short-lived microservices interactions with one another and which can be long gone once troubleshooting is done .
The pivot to open standards
Technologists need to ensure that the solution
Technologists need to ensure that the solution they choose accepts open standards , giving a full-stack , correlated view of all telemetry data – most notably , OpenTelemetry . they choose accepts open standards , giving a fullstack , correlated view of all telemetry data – most notably , OpenTelemetry .
OpenTelemetry is a vendor-agnostic and portable standard for metrics , logs and traces ( MLT ) telemetry . It allows technologists to collect information from every part of their IT stack and not just the mission-critical applications where most have typically deployed agents to collect performance data until now .
Across all verticals , technologists are realising the benefits of OpenTelemetry as a simple and quick way to generate visibility into performance and availability across every single technical element of their IT environment . As Gartner describes it : “ OpenTelemetry ’ s emergence as an open standard for telemetry collection promises improved interoperability and greater observability of microservices , containers and Kubernetes .”
This shift towards OpenTelemetry will undoubtedly gather pace over the coming years . And so technologists need a solution capable of consuming , processing and correlating the huge volumes of data that OpenTelemetry delivers . It also needs to be capable of providing a holistic view on all of the trace data which technologists now have at their fingertips , to understand IT performance and availability at a business transaction level .
Ability to deliver business-level insights hinges on advanced AIOps
UAE technologists need to leverage the power of AIOps to prioritise actions for their cloud environments . In the future , organisations will leverage AI-assisted issue detection and diagnosis with insights for faster troubleshooting .
Ultimately , this will allow technologists to identify and remedy the root causes of issues faster , minimising the impact on end-user experience .
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