A naukri.com initiative
Cloudblog
2M
339
Image Credit: Cloudblog
How to reduce costs with Managed Service for Apache Kafka: CUDs, compression and more
- Google Cloud announces Managed Service for Apache Kafka committed use discounts (CUDs) to save up to 40% on compute costs.
- Managed Service for Apache Kafka reduces manual broker management costs with automatic features like rebalancing and sizing.
- Tips for cost optimization include using CUDs, optimizing inter-zone transfer costs, enabling compression, and fine-tuning batch sizes.
- CUDs offer savings up to 40% on vCPU and RAM costs by committing in advance for a year or more.
- Enable rack awareness and consumer rack IDs matching cloud zones to reduce inter-zone data transfer costs in Kafka clusters.
- Compression at producer and broker levels can save on networking and storage costs by reducing message sizes.
- Configuring batch sizes can save CPU/network bandwidth while maximizing throughput in Apache Kafka.
- Lower retention periods and storage sizes in test environments to save on data storage costs.
- Avoid message conversions by aligning Kafka clients and brokers on the same version for cost savings.
- To get started, purchase CUDs on the Google Cloud console and follow the outlined cost-saving best practices.
Read Full Article
20 Likes
For uninterrupted reading, download the app