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| author | Costa Tsaousis <costa@netdata.cloud> | 2023-12-11 20:49:33 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-12-11 20:49:33 +0200 |
| commit | 19936e4abc769137dc7594bf79a070186ea10132 (patch) | |
| tree | d7f8c3f938bb497e0378c393a0a3ff34256b6909 /README.md | |
| parent | 068b05091ee345d8f25d9abf004592baeac519c7 (diff) | |
Update README.md
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -68,8 +68,8 @@ It scales nicely from just a single server to thousands of servers, even in comp Dec 11, 2023: [University of Amsterdam published a study](https://twitter.com/IMalavolta/status/1734208439096676680) related to the impact of monitoring tools for Docker based systems, aiming to answer 2 questions: -1. **What is the impact of using different monitoring tools on the energy efficiency of Docker-based systems?** -2. **What is the impact of using different monitoring tools on the performance of Docker-based systems?** +1. **What is the impact of monitoring tools on the energy efficiency of Docker-based systems?** +2. **What is the impact of monitoring tools on the performance of Docker-based systems?** They tested ELK, Prometheus, Netdata and Zipkin, under 9 different configurations (Low, Mid, High Frequency vs. Low, Mid, High Workload, 3x3). |