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  5. DeadManCheck — Cron Job Monitoring vs Graphile Worker

DeadManCheck — Cron Job Monitoring vs Graphile Worker

OverviewComparisonAlternatives

Overview

Graphile Worker
Graphile Worker
Stacks3
Followers0
Votes0
GitHub Stars2.1K
Forks109
DeadManCheck — Cron Job Monitoring
DeadManCheck — Cron Job Monitoring
Stacks0
Followers1
Votes1

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CLI (Node.js)
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Detailed Comparison

Graphile Worker
Graphile Worker
DeadManCheck — Cron Job Monitoring
DeadManCheck — Cron Job Monitoring

It is a job queue for PostgreSQL running on Node.js. It allows you to run jobs (e.g. sending emails, performing calculations, generating PDFs, etc) "in the background" so that your HTTP response/application code is not held up. Can be used with any PostgreSQL-backed application. Pairs beautifully with PostGraphile or PostgREST.

Know the moment your scheduled jobs fail or run too long. Open source cron job monitoring with duration anomaly detection.

Standalone and embedded modes; Designed to be used both from JavaScript or directly in the database; Easy to test (recommended: runTaskListOnce util); Low latency (typically under 3ms from task schedule to execution, uses LISTEN/NOTIFY to be informed of jobs as they're inserted); High performance (uses SKIP LOCKED to find jobs to execute, resulting in faster fetches); Small tasks (uses explicit task names / payloads resulting in minimal serialisation/deserialisation overhead); Parallel by default
Cron job monitoring, Long-running job detection, Output assertions, Backup monitoring, ETL job monitoring
Statistics
GitHub Stars
2.1K
GitHub Stars
-
GitHub Forks
109
GitHub Forks
-
Stacks
3
Stacks
0
Followers
0
Followers
1
Votes
0
Votes
1
Integrations
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Node.js
Node.js
No integrations available

What are some alternatives to Graphile Worker, DeadManCheck — Cron Job Monitoring?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Sidekiq

Sidekiq

Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Beanstalkd

Beanstalkd

Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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