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HLSDASH

HLSDASH is an open-source platform for monitoring, visualization, and management of large-scale IT environments. It provides a high-level view by aggregating metrics, logs, and traces from multiple data sources into a single dashboard, while supporting drill-down to individual services and components. The project emphasizes reliability, scalability, and ease of integration with existing observability stacks.

HLSDASH stands for High-Level System Dashboard. It originated as an internal monitoring tool at a cloud services

Key features include templated dashboards, role-based access control, alert rules, and built-in anomaly detection. It offers

Architecture-wise, HLSDASH comprises a data ingestion layer, a query and aggregation service, and a rendering front-end.

Reception and usage: The platform has been adopted by enterprises and service providers seeking unified visibility

Limitations: Deployment complexity, performance considerations for very large metric sets, and dependency on stable data sources

See also: Observability, Metrics, Dashboards, OpenTelemetry, Prometheus, Grafana.

provider
and
was
released
as
an
open-source
project
in
2020.
The
project
is
maintained
by
a
community-driven
governance
model
with
core
maintainers
and
contributor
guidelines.
connectors
for
Prometheus,
OpenTelemetry,
Elasticsearch,
InfluxDB,
and
other
cloud-native
data
sources.
The
platform
provides
a
RESTful
API
and
a
declarative
dashboard
language
for
reproducibility,
along
with
export/import
capabilities
and
a
plugin
architecture
to
extend
data
sources
and
visualizations.
It
uses
a
modular
plugin
system
to
add
data
sources
and
visualizations,
supports
multi-tenant
deployments,
and
can
run
on-premises
or
in
the
cloud.
The
design
emphasizes
scalability
and
interoperability
with
common
observability
tools.
across
hybrid
environments.
It
emphasizes
compatibility
with
popular
observability
tools
and
can
be
integrated
into
existing
CI/CD
pipelines
and
incident-management
workflows.
can
pose
challenges.
Communities
recommend
careful
resource
planning
and
incremental
rollout.