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Cloud-Native Scalability Benchmarking with Theodolite: Applied to the TeaStore Benchmark.

, , and . Softwaretechnik-Trends, 43 (1): 23-25 (February 2023)

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Industrial DevOps., , , , , , and . CoRR, (2019)A configurable method for benchmarking scalability of cloud-native applications., and . Empir. Softw. Eng., 27 (6): 143 (2022)Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing., , , and . Theory Comput. Syst., 64 (1): 120-140 (2020)Clean Code: On the Use of Practices and Tools to Produce Maintainable Code for Long-Living Software., , and . Software Engineering (Workshops), volume 2308 of CEUR Workshop Proceedings, page 96-99. CEUR-WS.org, (2019)Streaming vs. Functions: A Cost Perspective on Cloud Event Processing., , , , and . IC2E, page 67-78. IEEE, (2022)Benchmarking Function Hook Latency in Cloud-Native Environments., , , and . Softwaretechnik-Trends, (November 2023)ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks., , , , and . ICPE, page 2-13. ACM, (2024)The Titan Control Center for Industrial DevOps analytics research., and . Softw. Impacts, (2021)Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines., and . CoRR, (2020)Benchmarking Scalability of Stream Processing Frameworks Deployed as Microservices in the Cloud., and . Software Engineering, volume P-343 of LNI, page 125-126. Gesellschaft für Informatik e.V., (2024)