QoS Measurement & Dependency Graph Platform
Note: DepC is archived as of Sept 2022. It remains here in read-only mode for historical interest.
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DepC (Dependency Checker) is a QoS Measurement & Dependency Graph Platform
created by OVH <https://www.ovh.com/>
_. We use it to store and request our
CMDB and to compute the QoS of our infrastructure, including our customers.
DepC provides a CMDB component to store and request related nodes into a graph
structure. These nodes can be anything : servers, products, customers or even
web services. A typical use case would be to create some customers
nodes,
related to their products
. We can also link these products
to
servers
, that way it would be very easy to display the impacted customers
when a problem occurs on a server.
Once DepC knows your dependency graph, it then becomes possible to compute a
QoS for every nodes. By taking up our previous example, Depc can compute the
QoS of our customers
, following the QoS of their servers
.
different methods <https://ovh.github.io/depc/guides/queries.html>
_ for that : some nodes
will use the raw data stored in TimeSeries databases (for example a
server
node having a probe), other nodes will use their parents QoS to
compute their own one. Finally the QoS can be displayed in Grafana or in the
DepC WebUI (this last one allows some cool features, like display the worst
nodes or even the root cause of a bad QoS).payloads <https://ovh.github.io/depc/guides/kafka.html>
_ and forward them to Neo4j,
adding the wanted scalabily and high-availability management. Then Apache
Airflow is responsible to automate the QoS computation, so DepC can benefit
from its executors feature (Celery, Kubernetes..) to scale horizontally.See https://ovh.github.io/depc/installation.html