451 Research Highlights Kloudfuse’s Market Leadership in Observability
451 Research Highlights Kloudfuse’s Market Leadership in Observability
451 Research Highlights Kloudfuse’s Market Leadership in Observability
High Volume Context Aware APM
End-to-end Distributed Tracing and Service-centric Observability at Scale
Highly context-aware APM powered by distributed tracing with built-in RED metrics, richly augmented service map visualizations, and request flows with high retention of traces and metrics derived from them.
No Sampling Required
Collect, and analyze distributed traces with
a long chain of spans in an unsampled way
and store them for longer retention. All
detailed attributes of the chains of spans
for all traces are stored and indexed.
Ingest traces in Zipkin, Jaeger,
OpenTelemetry, OpenTracing, Datadog
and Elastic agent formats, but store in
normalized way.
Any Stack Anywhere
APM on hosts, containers, serverless
functions using 100+ integrations with
third party frameworks, libraries in various
languages Java, .NET, PHP, Node.js, Ruby,
Python, Go, or C++ applications.
Built-In RED metrics
Kloudfuse APM builds a detailed
breakdown of requests, error, latency,
throughput, and saturation metrics across
all the services, methods, endpoints, edges,
and resources along the spans in the
traces.
Rich Visualizations
Rich and context-aware service map
visualizations, request flow maps, and
flame-graphs on the fine-grained spans of
past and live traces augmented with the
RED metrics provide the highest context
troubleshooting experience.
100x cost reduction
Take advantage of the same built-in
storage efficiency and ingestion
optimization, to store and query traces and
metrics associated with them.
Cost Analysis
# of traces/minute
1,000,000
10,000,000
100,000,000
1,000,000,000
Compute Cost
$1,042
$7,289
$69,246
$691,939
Storage Cost
$119
$988
$9,644
$96,410
Total Cost*
$1,161
$8,277
$78,890
$788,349
* Cost is per month and based on GCP node pricing and high ingestion speed for spans per core, with minimal bytes per span and
dedicated cores for high performant queries and cores for replication of data with 7 days of retention with no Sampling
Cost Analysis
# of traces/minute
1,000,000
10,000,000
100,000,000
1,000,000,000
Compute Cost
$1,042
$7,289
$69,246
$691,939
Storage Cost
$119
$988
$9,644
$96,410
Total Cost*
$1,161
$8,277
$78,890
$788,349
* Cost is per month and based on GCP node pricing and high ingestion speed for spans per core, with minimal bytes per span and
dedicated cores for high performant queries and cores for replication of data with 7 days of retention with no Sampling
No Sampling Required
Collect, and analyze distributed traces with
a long chain of spans in an unsampled way
and store them for longer retention. All
detailed attributes of the chains of spans
for all traces are stored and indexed.
Ingest traces in Zipkin, Jaeger,
OpenTelemetry, OpenTracing, Datadog
and Elastic agent formats, but store in
normalized way.
Any Stack Anywhere
APM on hosts, containers, serverless
functions using 100+ integrations with
third party frameworks, libraries in various
languages Java, .NET, PHP, Node.js, Ruby,
Python, Go, or C++ applications.
Built-In RED metrics
Kloudfuse APM builds a detailed
breakdown of requests, error, latency,
throughput, and saturation metrics across
all the services, methods, endpoints, edges,
and resources along the spans in the
traces.
Rich Visualizations
Rich and context-aware service map
visualizations, request flow maps, and
flame-graphs on the fine-grained spans of
past and live traces augmented with the
RED metrics provide the highest context
troubleshooting experience.
100x cost reduction
Take advantage of the same built-in
storage efficiency and ingestion
optimization, to store and query traces and
metrics associated with them.
No Sampling Required
Collect, and analyze distributed traces with
a long chain of spans in an unsampled way
and store them for longer retention. All
detailed attributes of the chains of spans
for all traces are stored and indexed.
Ingest traces in Zipkin, Jaeger,
OpenTelemetry, OpenTracing, Datadog
and Elastic agent formats, but store in
normalized way.
Any Stack Anywhere
APM on hosts, containers, serverless
functions using 100+ integrations with
third party frameworks, libraries in various
languages Java, .NET, PHP, Node.js, Ruby,
Python, Go, or C++ applications.
Built-In RED metrics
Kloudfuse APM builds a detailed
breakdown of requests, error, latency,
throughput, and saturation metrics across
all the services, methods, endpoints, edges,
and resources along the spans in the
traces.
Rich Visualizations
Rich and context-aware service map
visualizations, request flow maps, and
flame-graphs on the fine-grained spans of
past and live traces augmented with the
RED metrics provide the highest context
troubleshooting experience.
100x cost reduction
Take advantage of the same built-in
storage efficiency and ingestion
optimization, to store and query traces and
metrics associated with them.
Cost Analysis
# of traces/minute
1,000,000
10,000,000
100,000,000
1,000,000,000
Compute Cost
$1,042
$7,289
$69,246
$691,939
Storage Cost
$119
$988
$9,644
$96,410
Total Cost*
$1,161
$8,277
$78,890
$788,349
* Cost is per month and based on GCP node pricing and high ingestion speed for spans per core, with minimal bytes per span and
dedicated cores for high performant queries and cores for replication of data with 7 days of retention with no Sampling
Cost Analysis
# of traces/minute
1,000,000
10,000,000
100,000,000
1,000,000,000
Compute Cost
$1,042
$7,289
$69,246
$691,939
Storage Cost
$119
$988
$9,644
$96,410
Total Cost*
$1,161
$8,277
$78,890
$788,349
* Cost is per month and based on GCP node pricing and high ingestion speed for spans per core, with minimal bytes per span and
dedicated cores for high performant queries and cores for replication of data with 7 days of retention with no Sampling
