nosqlbench VS helm-charts

Not directly related, but https://github.com/nosqlbench/nosqlbench is very flexible benchmark tool for Cassandra and other distributed systems

For performance testing, we also run common benchmarks: the popular YCSB (Yahoo! Cloud Serving Benchmark), NoSQLBench, LinkBench, SysBench, TPC-H, and TPC-C. We also run C Bench, our own Tarantool API benchmark. Its primitive operations are written in C, and scripts are described in Lua.

We used NoSQLBench to perform moderate load benchmarks. It comes with a convenient Docker image that we could use straight away to run stress jobs in our k8s cluster.

Jonathan Shook created NoSQLBench to be a cross-platform performance testing tool that is easier to use than cassandra-stress and (much) more powerful than YCSB; in fact, its scripting layer is powerful enough to support things that no other testing tool can enable, with particular emphasis on modeling complex workloads with fidelity, as well as simulating realistic scenarios such as load spikes. As its name suggests, NoSQLBench is not Cassandra-specific and encourages participation from all who want to contribute; today there are clients for Cassandra, CockroachDB, JDBC, and MongoDB, as well as non-database products Kafka and Pulsar. If you’re serious about performance testing in 2021, you should check out NoSQLBench. You can get started at GitHub. Other useful links: releases, discord, docs.

Prometheus can be deployed using the Prometheus Helm Chart. This helm chart contains a lot of features such as the already mentioned Push Gateway, Alert Manager and so on. For simplicity reasons of this tutorial I will not show all the Helm chart configuration but you can see a real example used by me here.

Building upon Bartłomiej Płotka's insightful blog on Prometheus and its passthrough agent mode, this post dives into implementing multi-cluster Prometheus support. Notably, the official inclusion of support in the widely-used kube-prometheus-stack came with the release in July 2023, making it easier to extend Prometheus monitoring across clusters.

The first thing you'll need, of course, is at least one backend to store metrics. So install Prometheus now:

For the request following, something like jeager https://www.jaegertracing.io/, because you are talking more about tracing than necessarily logging. For just monitoring, https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack would be the starting point, then it depends. Nginx gives metrics out of the box, then you can pull in the dashboard like https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/ , or full metal with something like service mesh monitoring which would provably fulfil most of the requirements

kube-prometheus-stack is a Helm chart that contains several components to monitor the Kubernetes cluster, along with Grafana dashboards Grafana Dashboards to visualize the data. This option will be used in this article.

This one I highly recommend: https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack

We use kube-prometheus-stack for metrics and have added the K8s views dashboards from grafana-dashboards-kubernetes. You should check out the k8s-views-global dashboard. I believe it's just what you are looking for.

You should take a look at "kube-prometheus-stack". It not only includes prometheus, node-exporter and Grafana but also a ton of preconfigured alerts and dashboards. Will save you a lot of work!

Since their are different ways to install what exactly did you install? Vanilla charts , stack, operator? https://github.com/prometheus-community/helm-charts/tree/main/charts