AIOPS
Tackling cloud complexity with the right tools Securing the right observability tools will help enterprises get control over their software and spot problems before they become a more widespread issue. BY STELA UDOVIVIC, DIRECTOR OF PRODUCT MARKETING, VMWARE TANZU CLOUD ADOPTION has soared in recent years with 92 percent of enterprises deploying a multi-cloud strategy, and 82 percent a hybrid cloud strategy. Change has largely been driven by businesses seeking to cut costs, deliver and scale operations faster, and offer more competitive products and services. As IT teams have accelerated their use of modern cloud applications, managing and running them has become an increasingly complex task. New research we conducted shows 86 percent of software engineers believe modern cloud applications are significantly more complex than just five years ago. Another 84 percent report using hundreds or even thousands of compute instances across a single organisation, with many containers and microservices in play.
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ISSUE II 2021
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COPYRIGHT DIGITALISATION WORLD
For IT teams to keep on top of their applications, they must be able to monitor and troubleshoot any issues within this complex software landscape. However, only 16 percent of the IT practitioners we questioned are using modern observability tools. The good news is that this proportion is set to rise, with ca third (34 percent) planning to implement observability tools in the next six months. With observability on the rise, what are the ‘red flags’ companies must consider for implementation?
Why monitoring tools need to evolve Cloud complexity means application requests, in the context of distributed tracing, are now going through dozens of technologies including many third-party
