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  1. Stackups
  2. DevOps
  3. Version Control
  4. Version Control System
  5. Git vs KloudMate

Git vs KloudMate

OverviewComparisonAlternatives

Overview

Git
Git
Stacks343.7K
Followers184.2K
Votes6.6K
GitHub Stars57.1K
Forks26.9K
KloudMate
KloudMate
Stacks4
Followers3
Votes0

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Detailed Comparison

Git
Git
KloudMate
KloudMate

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

Master your AWS serverless environments, monitor performance, identify issues and rapidly resolve customer-impacting issues. Offer value, with minimal effort.

-
Dashboard; Inventory management; Lambda monitoring; Full-text logs search; Issue tracking; Smart insights
Statistics
GitHub Stars
57.1K
GitHub Stars
-
GitHub Forks
26.9K
GitHub Forks
-
Stacks
343.7K
Stacks
4
Followers
184.2K
Followers
3
Votes
6.6K
Votes
0
Pros & Cons
Pros
  • 1429
    Distributed version control system
  • 1053
    Efficient branching and merging
  • 959
    Fast
  • 843
    Open source
  • 726
    Better than svn
Cons
  • 16
    Hard to learn
  • 11
    Inconsistent command line interface
  • 9
    Easy to lose uncommitted work
  • 8
    Worst documentation ever possibly made
  • 5
    Awful merge handling
No community feedback yet
Integrations
No integrations available
Amazon EC2
Amazon EC2
Amazon RDS
Amazon RDS
Amazon DynamoDB
Amazon DynamoDB
Amazon Kinesis
Amazon Kinesis
Amazon CloudWatch
Amazon CloudWatch
AWS Lambda
AWS Lambda
Amazon EBS
Amazon EBS
Amazon API Gateway
Amazon API Gateway
Amazon SQS
Amazon SQS
AWS Step Functions
AWS Step Functions

What are some alternatives to Git, KloudMate?

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.

Mercurial

Mercurial

Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.

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.

SVN (Subversion)

SVN (Subversion)

Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.

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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