3 Types of Chaos Experiments and How To Run Them

1. dd-trace-cpp

   1 40 16 8.4 C++

   Datadog APM client for C++

   

   Utilize monitoring solutions like Prometheus, Grafana, or Datadog to monitor how services communicate under normal and failure conditions. Service meshes like Istio or Linkerd can provide detailed insights without changing your application code.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. Hystrix

   2 22 24,298 2.7 Java

   Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

   

   Implement Resilience Patterns. Use libraries like Hystrix, resilience4j, or Spring Cloud Circuit Breaker to implement patterns that prevent failures from cascading across services. This includes:

4. prometheus

   3 482 59,398 9.9 Go

   The Prometheus monitoring system and time series database.

   

   Utilize monitoring solutions like Prometheus, Grafana, or Datadog to monitor how services communicate under normal and failure conditions. Service meshes like Istio or Linkerd can provide detailed insights without changing your application code.

5. Apache JMeter

   4 52 8,893 7.2 Java

   Apache JMeter open-source load testing tool for analyzing and measuring the performance of a variety of services

   

   Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns.

6. Grafana

   5 455 68,949 10.0 TypeScript

   The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

   

   Utilize monitoring solutions like Prometheus, Grafana, or Datadog to monitor how services communicate under normal and failure conditions. Service meshes like Istio or Linkerd can provide detailed insights without changing your application code.

7. Gatling

   6 30 6,718 9.6 Scala

   Modern Load Testing as Code

   

   Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns.

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