Epiphany Platform architecture can be divided into functional modules that realize closely related set of functionality.
Platform monitoring uses set of exporter
components that the responsibility is to collect metrics. Following table shows which exporter
is collecting metrics from each Epiphany component.
Exporter | Component | Description |
---|---|---|
Node exporter |
OS/Hardware metrics | description |
Kafka exporter |
Kafka metrics | description |
JMX exporter |
JVM metrics (Kafka, Zookeeper) | description |
cAdvisor |
Container metrics (Kubernetes, Docker) | description |
Prometheus
is open-source system used for monitoring and alerting. Each exporter
exposes http://server-name/metrics
endpoint that contains monitoring data, then Prometheus
collects this data in configured interval. To find more information about Prometheus
use this link.
Once the data are collected, they can be shown in Grafana
dashboards. Grafana
in Epiphany Platform has Prometheus
datasource configured by default. It uses PromQL to query Prometheus
database. To read more about Grafana
use this link.
When alert rule is met Prometheus
generates alert.
The alert is handled by Alert Manager
and depending on configuration is routed to Slack
, PagerDuty
, Email
, etc. To read more about Alert Manager
use this link.
Epiphany Platform logging uses Filebeat
to collect logs. It reads data from following locations:
Source | Purpose |
---|---|
/var/log/audit/audit.log | Logs from Linux audit daemon |
/var/log/auth.log | System authorization information and user logins |
/var/log/firewalld | Firewall logs |
/var/log/haproxy.log | HAProxy logs |
/var/log/kafka/server.log | Kafka logs |
/var/log/messages | Global system messages |
/var/log/secure | Logs from authentication and authorization |
/var/log/syslog | System logs and events |
/var/log/zookeeper/version-2/* | Zookeeper's logs |
Containers | Kubernetes components that run in a container |
Filebeat
, unlike Grafana
, pushes data to database (OpenSearch
) instead of pulling them.
Read more about Filebeat
.
OpenSearch
is highly scalable and full-text search enabled analytics engine. Epiphany Platform uses it for storage and analysis of logs.
Elasticsearch Curator
is component that manages and cleans indices and snapshots. Epiphany uses Elasticsearch Curator
to ensure that centralized logging will not completely fill disk space.
OpenSearch Dashboards
like Grafana
is used in Epiphany for visualization. It uses OpenSearch
as datasource for logs, it allows to create full text queries, dashboards and analytics that are performed on logs.
Epiphany Platform benefits from Kubernetes
capabilities. Product team creates a Docker
enabled applications and using deployments installs them in a Kubernetes cluster
.
Kubernetes Master
is the component that provides control plane for a cluster. It handles an application's deployments and responds for events. Usually Kubernetes Master
does not run application's pods.
Kubernetes Node
component maintains running pods that Kubernetes Master
delegates to work on the node. Usually there are many Kubernetes Nodes
for single or many Kubernetes Masters
.
Kafka is a distributed streaming and messaging platform.
Kafka Broker
is a synonym for Kafka Server or Kafka Node. Brokers allow producers and consumers to publish and consume messages. Kafka
is horizontally scalable - in short it means that adding new brokers increases Kafka
cluster capacity.
Zookeeper
in Epiphany Platform is used for distributed Kafka
configuration management. Simplified: From application's perspective it provides information about location of topic/partition that application writes or reads.
Zookeepers are usually deployed in more than one instance - this is called Zookeepers ensemble.
HAProxy
is a high performance load balancer. Applications deployed on Kubernetes
can be exposed through HAProxy
that supports TLS termination and supports multiple backends.
Epiphany Platform automates the configuration for backend and frontend of HAProxy
.