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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. LogDNA vs Sysdig

LogDNA vs Sysdig

OverviewDecisionsComparisonAlternatives

Overview

Sysdig
Sysdig
Stacks80
Followers150
Votes15
GitHub Stars8.1K
Forks748
LogDNA
LogDNA
Stacks97
Followers144
Votes18

LogDNA vs Sysdig: What are the differences?

LogDNA: Easy beautiful logging in the cloud. The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app; Sysdig: Open source container monitoring for all Linux container technologies, including Docker, LXC, etc. Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top..

LogDNA belongs to "Log Management" category of the tech stack, while Sysdig can be primarily classified under "Monitoring Tools".

Some of the features offered by LogDNA are:

  • Aggregate Logs & Analyze Related Events
  • Easy Setup in Minutes
  • Powerful Search & Alerts

On the other hand, Sysdig provides the following key features:

  • Real-Time Dashboard
  • Historical Replay
  • Dynamic Topology

"Easy setup" is the primary reason why developers consider LogDNA over the competitors, whereas "Easy setup" was stated as the key factor in picking Sysdig.

Sysdig is an open source tool with 5.7K GitHub stars and 530 GitHub forks. Here's a link to Sysdig's open source repository on GitHub.

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Advice on Sysdig, LogDNA

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments

Detailed Comparison

Sysdig
Sysdig
LogDNA
LogDNA

Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Aggregate Logs & Analyze Related Events;Easy Setup in Minutes;Powerful Search & Alerts;Save what you see as a View;Modern User Interface;Tail -f Like a Boss;Debug & Troubleshoot Faster
Statistics
GitHub Stars
8.1K
GitHub Stars
-
GitHub Forks
748
GitHub Forks
-
Stacks
80
Stacks
97
Followers
150
Followers
144
Votes
15
Votes
18
Pros & Cons
Pros
  • 5
    Easy setup
  • 5
    Monitoring
  • 5
    Powerful web app
Pros
  • 6
    Easy setup
  • 4
    Cheap
  • 3
    Extremely fast
  • 2
    Powerful filtering and alerting functionality
  • 1
    Multi-cloud
Cons
  • 1
    Cannot copy & paste text from visualization
  • 1
    Limited visualization capabilities
Integrations
Docker
Docker
No integrations available

What are some alternatives to Sysdig, LogDNA?

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.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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

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