nosqlbench
Grafana
Our great sponsors
nosqlbench | Grafana | |
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4 | 379 | |
159 | 60,395 | |
1.3% | 1.7% | |
9.9 | 10.0 | |
3 days ago | 1 day ago | |
Java | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nosqlbench
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How a Single Line of Code Made a 24-Core Server Slower Than a Laptop
Not directly related, but https://github.com/nosqlbench/nosqlbench is very flexible benchmark tool for Cassandra and other distributed systems
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Ten-year experience in DBMS testing
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.
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Requirements for running K8ssandra for development
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.
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Apache Cassandra 4.0: Taming Tail Latencies with Java 16 ZGC
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.
Grafana
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
maelstrom - A workbench for writing toy implementations of distributed systems.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
YCSB - Yahoo! Cloud Serving Benchmark
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
cassandra-medusa - Apache Cassandra Backup and Restore Tool
Heimdall - An Application dashboard and launcher
tarantool - Get your data in RAM. Get compute close to data. Enjoy the performance.
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
MicroRaft - Feature-complete implementation of the Raft consensus algorithm in Java
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
Javet - Javet is Java + V8 (JAVa + V + EighT). It is an awesome way of embedding Node.js and V8 in Java.
uptime-kuma - A fancy self-hosted monitoring tool