Kakao Cloud Unveils 'Burstable Feature'... Delivers High Performance Temporarily
Kakao Enterprise announced on the 8th that it has introduced a 'Burstable feature' that can momentarily deliver higher performance beyond the basic CPU performance on the cloud. Burstable is a compound word meaning 'to burst' and 'able,' referring to performance that can explosively scale beyond a baseline temporarily in the cloud.
This feature is currently provided only by overseas cloud companies with similar burstable functions. Kakao Cloud introduced this feature to help users who need temporary performance scaling while optimizing costs.
Most typical workloads show low CPU usage under normal conditions. However, there are cases where temporarily high CPU usage is required. Selecting an instance based on the highest performance not only wastes cloud resources but also incurs higher costs than actually used. To address resource and cost waste issues, Kakao Cloud introduced 'CPU credits' to the burstable feature. CPU credits accumulate during periods of CPU usage below the baseline and are used during periods requiring temporarily high CPU usage.
The newly introduced burstable feature operates on the t instances of Kakao Cloud's cloud computing service, Beyond Compute Service (BCS). The t instances are competitively priced, offering up to approximately 60% more reasonable prices compared to equivalent overseas cloud products based on discount policies. They are suitable for cases where overall CPU usage is low but strong performance is needed during specific periods.
Additionally, Kakao Cloud provides CPU credit monitoring so that enterprises and institutions can utilize the burstable feature more efficiently. This helps analyze workload CPU usage patterns and supports balanced cloud operations.
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Lee Haeyoung, Head of Technology Division at Kakao Enterprise, explained, "With the newly launched burstable feature, Kakao Cloud users can avoid unnecessary costs during periods when the CPU is inactive and are guaranteed temporarily high performance during peak usage times."
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