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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Glances vs Skedler

Glances vs Skedler

OverviewComparisonAlternatives

Overview

Skedler
Skedler
Stacks0
Followers3
Votes0
Glances
Glances
Stacks5
Followers7
Votes0
GitHub Stars30.4K
Forks1.6K

Glances vs Skedler: What are the differences?

  1. Pricing Model: One key difference between Glances and Skedler is the pricing model they offer. Glances provides a free plan with limited features, while Skedler offers various paid plans based on the scale and requirements of the user, allowing for more flexibility and customization in pricing.

  2. Integration Capabilities: Glances and Skedler differ in their integration capabilities. Glances is specifically designed for integrating with Shopify, while Skedler offers integration with a wider range of platforms and tools such as Elasticsearch, Grafana, and Kibana, providing more options for users with diverse integration needs.

  3. User Interface: The user interface of Glances and Skedler sets them apart. Glances has a more simplistic and user-friendly interface, making it easy for beginners to navigate and use. On the other hand, Skedler offers a more advanced and customizable interface that caters to users looking for more detailed and intricate report settings.

  4. Reporting Features: When it comes to reporting features, Glances focuses more on providing real-time analytics and data monitoring capabilities, making it ideal for users who require quick insights. Meanwhile, Skedler offers a broader range of reporting features such as scheduling, customization, and automated report delivery, catering to users with more in-depth reporting needs.

  5. Customization Options: In terms of customization options, Glances has limited options for users to personalize their reports and dashboards according to their preferences. Conversely, Skedler provides a wide range of customization features such as customizable templates, themes, and branding options, enabling users to tailor their reports to align with their branding and style guidelines.

In Summary, Glances and Skedler differ in pricing models, integration capabilities, user interfaces, reporting features, and customization options, providing users with a choice based on their specific requirements.

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Detailed Comparison

Skedler
Skedler
Glances
Glances

It is an elasticsearch reporting tool --- an absolute alternative to Kibana reporting. It enables you to automate the whole process of designing, scheduling, and delivering reports to your stakeholders/ customers effectively.

It is a cross-platform monitoring tool which aims to present a maximum of information in a minimum of space through a curses or Web based interface. It can adapt dynamically the displayed information depending on the terminal size.

Automated Reporting; Elasticsearch report scheduling; Automated elasticsearch report delivery through email, Slack, and more
Cross-platform; System monitoring tool; Web UI; Export
Statistics
GitHub Stars
-
GitHub Stars
30.4K
GitHub Forks
-
GitHub Forks
1.6K
Stacks
0
Stacks
5
Followers
3
Followers
7
Votes
0
Votes
0
Integrations
Docker
Docker
Elasticsearch
Elasticsearch
Linux
Linux
Windows
Windows
Debian
Debian
Linux
Linux
Windows
Windows
FreeBSD
FreeBSD
Mac OS X
Mac OS X

What are some alternatives to Skedler, Glances?

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.

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

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

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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