Distributed Log Deduplication
Kloudfuse Log Management is built on Industry's first patent-pending fully distributed log fingerprinting technology that not only improves the storage efficiency up to 20x, providing unmatched savings, but also powers auto facet extraction, metric derivation, and transactions. All of which is queryable through open standard query languages (LogQL, PromQL) with low latency queries.
Cost Analysis
GB of logs ingested /day
10
100
1000
10,000
Compute Cost
$521
$1,042
$2,084
$3,168
Storage Cost
$40
$88
$600
$5,628
Total Cost*
$561
$1,130
$2,684
$8,796
* Above Cost is per month and based on GCP node pricing and high ingestion speed for logs lines per core and dedicated cores for high
performant log queries and cores for replication of data with 3 months of retention
Log fingerprinting
Process, store, and search through high-
volume logs with high cardinality labels
with "log fingerprints" and "dynamic
indexes". Log fingerprints achieve
distributed deduplication by sieving out
static and dynamic parts of log events
solely based on several sophisticated
heuristics. Each of the static and dynamic
part is then stored and indexed
appropriately to get high storage efficiency
and query performance at the same time.
Auto Facet Extraction
Extract the facets out of the log lines
without extra grok patterns or grammar
rules and get rich analytics on the
extracted facets
Log Derived Metrics
Leverage log-derived metrics in
conjunction with the auto-generated
facets to create high-dimensional,
queryable data from logs for log based
analytics.
Log Derived Transactions
Leverage log-derived transactions for
additional log-based analytics. Automatic
derivation of such transactions proves to
be of great value in environments where
applications use logs for request tracking.
Query, analyze, create dashboards and
alerts on logs using Open Standard Query
Language like LogQL.
20x Storage Efficiency
The distributed log fingerprinting not only
improves the storage efficiency by up to
20x, but also powers auto facet extraction,
metric derivation, and transactions without
compromising on ingestion throughput or
query response times.
100x cost reduction
Ingest, store, query logs with minimal infrastrcture hosted within your VPC, but still operationally managed by our control plane.
Log fingerprinting
Process, store, and search through high-
volume logs with high cardinality labels
with "log fingerprints" and "dynamic
indexes". Log fingerprints achieve
distributed deduplication by sieving out
static and dynamic parts of log events
solely based on several sophisticated
heuristics. Each of the static and dynamic
part is then stored and indexed
appropriately to get high storage efficiency
and query performance at the same time.
Auto Facet Extraction
Extract the facets out of the log lines
without extra grok patterns or grammar
rules and get rich analytics on the
extracted facets
Log Derived Metrics
Leverage log-derived metrics in
conjunction with the auto-generated
facets to create high-dimensional,
queryable data from logs for log based
analytics.
Log Derived Transactions
Leverage log-derived transactions for
additional log-based analytics. Automatic
derivation of such transactions proves to
be of great value in environments where
applications use logs for request tracking.
Query, analyze, create dashboards and
alerts on logs using Open Standard Query
Language like LogQL.
20x Storage Efficiency
The distributed log fingerprinting not only
improves the storage efficiency by up to
20x, but also powers auto facet extraction,
metric derivation, and transactions without
compromising on ingestion throughput or
query response times.
100x cost reduction
Ingest, store, query logs with minimal infrastrcture hosted within your VPC, but still operationally managed by our control plane.
100x cost reduction
Ingest, store, query logs with minimal infrastrcture hosted within your VPC, but still operationally managed by our
control plane.
Cost Analysis
GB of logs ingested /day
10
100
1000
10,000
Compute Cost
$521
$1,042
$2,084
$3,168
Storage Cost
$40
$88
$600
$5,628
Total Cost*
$561
$1,130
$2,684
$8,796
* Above Cost is per month and based on GCP node pricing and high ingestion speed for logs lines per core and dedicated cores for high
performant log queries and cores for replication of data with 3 months of retention
Cost Analysis
GB of logs ingested /day
10
100
1000
10,000
Compute Cost
$521
$1,042
$2,084
$3,168
Storage Cost
$40
$88
$600
$5,628
Total Cost*
$561
$1,130
$2,684
$8,796
* Above Cost is per month and based on GCP node pricing and high ingestion speed for logs lines per core and dedicated cores for high
performant log queries and cores for replication of data with 3 months of retention
Log fingerprinting
Process, store, and search through high-
volume logs with high cardinality labels
with "log fingerprints" and "dynamic
indexes". Log fingerprints achieve
distributed deduplication by sieving out
static and dynamic parts of log events
solely based on several sophisticated
heuristics. Each of the static and dynamic
part is then stored and indexed
appropriately to get high storage efficiency
and query performance at the same time.
Auto Facet Extraction
Extract the facets out of the log lines
without extra grok patterns or grammar
rules and get rich analytics on the
extracted facets
Log Derived Metrics
Leverage log-derived metrics in
conjunction with the auto-generated
facets to create high-dimensional,
queryable data from logs for log based
analytics.
Log Derived Transactions
Leverage log-derived transactions for
additional log-based analytics. Automatic
derivation of such transactions proves to
be of great value in environments where
applications use logs for request tracking.
Query, analyze, create dashboards and
alerts on logs using Open Standard Query
Language like LogQL.
20x Storage Efficiency
The distributed log fingerprinting not only
improves the storage efficiency by up to
20x, but also powers auto facet extraction,
metric derivation, and transactions without
compromising on ingestion throughput or
query response times.
100x cost reduction
Ingest, store, query logs with minimal infrastrcture hosted within your VPC, but still operationally managed by our
control plane.
Cost Analysis
GB of logs ingested /day
10
100
1000
10,000
Compute Cost
$521
$1,042
$2,084
$3,168
Storage Cost
$40
$88
$600
$5,628
Total Cost*
$561
$1,130
$2,684
$8,796
* Above Cost is per month and based on GCP node pricing and high ingestion speed for logs lines per core and dedicated cores for high
performant log queries and cores for replication of data with 3 months of retention
Observe. Analyze. Automate
Unlimit your Observability, Limit your Cost.
Observe. Analyze. Automate
Unlimit your Observability, Limit your Cost.
Observe. Analyze. Automate
Unlimit your Observability, Limit your Cost.