What is Odigos?
It is an open-source observability control plane that allows developers to easily create and build their observability pipelines, by abstracting away the complexities of technologies such as eBPF and OpenTelemetry.
Odigos is a tool in the Monitoring Tools category of a tech stack.
Odigos is an open source tool with 3K GitHub stars and 184 GitHub forks. Here’s a link to Odigos's open source repository on GitHub
Odigos Integrations
Python, Node.js, Java, Kubernetes, and Golang are some of the popular tools that integrate with Odigos. Here's a list of all 5 tools that integrate with Odigos.
Odigos's Features
- Boost your existing monitoring tools
- Observability by default
- Detects the programming language of your applications and apply automatic instrumentation accordingly
- Get automatic distributed traces and metrics even for applications written in Go
Odigos Alternatives & Comparisons
What are some alternatives to Odigos?
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.
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.
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 is a host/service/network monitoring program written in C and
released under the GNU General Public License.
Zabbix
Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
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