cloud-ops-sandbox VS cloudprober

Compare cloud-ops-sandbox vs cloudprober and see what are their differences.

cloud-ops-sandbox

Cloud Operations Sandbox is an open source collection of tools that helps practitioners to learn O11y and R9y practices from Google and apply them using Cloud Operations suite of tools. (by GoogleCloudPlatform)

cloudprober

[Moved to cloudprober/cloudprober] An active monitoring software to detect failures before your customers do. (by google)
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cloud-ops-sandbox cloudprober
1 3
397 1,428
0.0% -
6.7 8.4
3 months ago over 2 years ago
HCL Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

cloud-ops-sandbox

Posts with mentions or reviews of cloud-ops-sandbox. We have used some of these posts to build our list of alternatives and similar projects.

cloudprober

Posts with mentions or reviews of cloudprober. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-20.
  • Using Alerts in Grafana
    1 project | /r/grafana | 25 Jun 2021
    Do you mean that your service doesn't have enough traffic all the time? Then you can (and should) use synthetic clients to send requests to your endpoint. They provide both a minimal amount of traffic all day round and also can report on responses they get and improve your coverage. Example project: https://github.com/google/cloudprober
  • How Best to Monitor Incoming Traffic for the Health of Applications
    3 projects | /r/sre | 20 Apr 2021
    If your service might at times fall to almost zero requests outside business hours, having a synthetic client is a must. You can use Blackbox exporter as mentioned by u/SuperQue or CloudProber, both work well for simple cases (one step site check or API call), for anything more complicated (multi step scenarios) you are better off scripting it.
  • SLOs when your metrics suck?
    1 project | /r/sre | 28 Jan 2021
    Relatively easy to achieve: through variety of available opensource projects like cloudprober or blackbox exporter (if your test case is straight forward) or custom made programs out of bash, python, golang (if your test case is more complex).

What are some alternatives?

When comparing cloud-ops-sandbox and cloudprober you can also consider the following projects:

drupal-pi - Drupal on Docker on a Raspberry Pi. Pi Dramble's little brother.

blackbox_exporter - Blackbox prober exporter

Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts

sloth - 🦥 Easy and simple Prometheus SLO (service level objectives) generator

vmware-operations-guide - This repo contains the contents and configuration of the VMware Operations guide (https://www.vmwareopsguide.com).

Sloth - Mac app that shows all open files, directories, sockets, pipes and devices in use by all running processes. Nice GUI for lsof.

vscode-datree - Simple VSCode Extension that allows you to run Datree tests on Kubernetes configurations.

grafana-aws-cloudwatch-dashboards - :cloud: 40+ Grafana dashboards for AWS CloudWatch metrics: EC2, Lambda, S3, ELB, EMR, EBS, SNS, SES, SQS, RDS, EFS, ElastiCache, Billing, API Gateway, VPN, Step Functions, Route 53, CodeBuild, ...

devopsish.com - DevOps, Cloud Native, Hybrid Cloud, Open Source, industry news, culture, and the ‘ish between.

tcpprobe - Modern TCP tool and service for network performance observability.

howtheysre - A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)

kubesphere - The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️