WHITEPAPER How GitOps Boosts Business Performance: The Facts How GitOps Boosts Business Performance: The Facts 2 INTRODUCTION As cloud-native applications have become more prevalent, the concept GitOps is and how you can use it to deliver positive results in your organization. How GitOps Boosts Business Performance: The Facts 3 SOFTWARE SUCCESS LEADS TO OPERATIONAL SUCCESS In publishing its performance scale, it could take between a week and a month for such outages to be fixed. How GitOps Boosts Business Performance: The Facts 4 4. Change failure rate This can be seen as a measure of quality

stronger performance, and meanwhile saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 times. We pretrain DeepSeek-V2 on a high-quality and multi-source with DeepSeek 67B, DeepSeek-V2 saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 times. We also evaluate DeepSeek-V2 Chat (SFT) and 4 considerable volume of math and code related content. In addition, DeepSeek-V2 Chat (RL) further boosts the performance on math and code benchmarks. We show more code and math evaluations in Appendix F

largest telcos are now embracing GitOps. Deutsche Telekom explains why 6. Case Study: GitOps boosts collaboration, reliability and autonomy for MediaMarktSaturn 7. Case Study: MediaMarktSaturn

Data Write- Through 性能指数级提升 100% Random Reads 136K 2.7K IOPS 50X 86.7K 31x Boosts performance across the Hadoop* Cluster2 Solves the primary challenge – I/O bottleneck Significant

protocol stack developed based on Data Plane Development Kit (DPDK) and lightweight IP (lwIP). It boosts application performance and is also versatile due to its broad compatibility and usability. Challenges

have the option to create a composite index, which is an index built on several table columns. It boosts query execution speed when dealing with multiple-column conditions. A composite index can greatly

xref of the embedded image. This can be used as the xref argument for very sig- nificant performance boosts, if the image is inserted again. This example puts the same image on every page of a document:

of Series, DataFrame, and Panel. For low-density data, this will result in significant performance boosts, and smaller memory footprint. Added to_sparse methods to Series, DataFrame, and Panel. See online

of Series, DataFrame, and Panel. For low-density data, this will result in significant performance boosts, and smaller memory footprint. Added to_sparse methods to Series, DataFrame, and Panel. See online

generates. According to the benchmarks on our internal projects, we achieved the following performance boosts on average: 15% reduction in execution time 20% reduction in the code size of both release and