SnappyFlow is a full stack observability platform providing DevOps and SRE practitioners and Application Developers with a comprehensive solution bringing together metrics, logs, traces, profiling, alerts, and synthetics in a unified platform.

1. OBSERVABILITY
SIMPLIFIED
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2. SnappyFlow helps IT admins, DevOps & SRE practitioners provide
better business outcomes. Be it internal stakeholders or
customers, ensure a delightful user experience through better
visibility across your entire tech stack.
Business is Always On!
Ensure high uptime for your apps and infrastructure
ProactivelymonitoryourendpointsandensureyourcriticalITinfrastructureis
alwaysavailableforyourbusiness.
Complaints? No chance.
Fix issues before your customers can complain
Pre-emptperformanceissueswithadvancedalertingacrossyourstack.Track
resourceutilizationandfinetunestackperformance
Be efficient and save costs
Monitor resource usage across endpoints
OptimizeyourinfrastructurespendwithrightsizedVMsandreducedinfraspend.
EliminateunnecessaryAPIcallsandfinetuneapplicationcode.
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SnappyFlow
Helping you deliver
better business
outcomes

3. SnappyFlow
Simplicity
SnappyFlow provides a easy to use and simplified monitoring
solution to complex and evolving tech stacks. Get a complete, top
down view of the of your stack performance with SnappyFlow
and troubleshoot in minutes. Not hours.
Easy Deployment
Cloud, hybrid or on-prem environments
SnappyFlowcanbeconsumedviaSnappyFlowcloudorhostedinyourown
environment–beityourownAWS/Azure/GCPcloudoronyouron-prem
datacenter.
Get started in minutes
For hassle free monitoring
DeploySnappyFlowagentandmakeuseofpre-builtdashboardsfor
instantmonitoring
Simplified Workflow
With deep observability
Metrics,Logs,APM,Synthetics,RUMandAlertsdataarenowavailable
inaunifiedworkflowfor
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4. SnappyFlow
Cloud Native
Tech stacks today are built on a distributed architecture, are
multi-lingual and are increasingly talking to 3rd party
This highly fragmented and complex mesh of microservices
requires a purpose built monitoring solution to help you
understand the interactions, their impact on overall performance
and user experience
Application Centric
Never loose context of data
Lookatallmonitoringdatawithanapplicationcontext.Geta
deepunderstandingofinteractionsandinterdependenceof
applicationcomponents
No more Data silos
Better correlation means faster troubleshooting
Getaunifiedviewfrommultiplelenses-Metrics,LogManagement,Tracing,
CPU&MemoryProfiling,Alerts&SLOs
Scale with zero worry
Handle Terabytesof Logs with ease
SnappyFlowpowerfulbackendcaneasilyscaletohandleTerabytesoflogs
perday.Archivelogstoreducecostswhileretainingsearchcapabilities.
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5. SnappyFlow
Security
SnappyFlow is SOC 2 Type 2 certified. This certification validates
SnappyFlow Cloud Platform’s design and operations to ensure
appropriate controls for security, availability, confidentiality, and
processing integrity principles of client data.
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SOC 2 Type 2 Certified

6. Deploy anywhere, Monitor everything
Run SnappyFlow in your own setup – either on cloud or in your datacentre or simply subscribe to SnappyFlow
cloud for a fully managed, all in one solution
S NA P PYFLOW CLOUD
Ideal for startups and enterprises looking for an easy to
manage setup
ThesimplestwaytoconsumeSnappyFlow.Setupanaccount,
deploySnappyFlowagentonyourendpointsandstart
monitoringrightaway
Infrastructure
ProvidedandmanagedbySnappyFlow
Product Licensing
Basedondataingest
Where is ingest data stored?
SecureSnappyFlowcloudservers
S ELF - H OST E D
Ideal for enterprises with strict data compliance
and residency needs
UseourtemplatestosetupSnappyFlowonyourcloudaccountoron
youron-premdatacenter.WesupportbothVMs,baremetalsand
hypervisors
Infrastructure
Providedandmanagedbycustomer
Product Licensing
Flatmonthlylicensing
Where is ingest data stored?
Inyourownsecureenvironment
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7. SnappyFlow Features
Visualization
Powerful dashboard builder
Focus on application stack management
Rich Dashboard library and auto
recommendation
SQL like query language
Profiling
CPU and Memory profiling for JAVA and GO
Gain thread level insights into CPU and
memory usage
Cath out of memory exceptions right in
dev/test stage
RUM
Track user journeys across browsers and
devices
Fine tune end user experience by
measuring website load stats,
transaction stats from the engagement
of real users
Alerts & SLOs
Pre-built alert library with
auto recommendation
Integration with Slack, Pager Duty,
ServiceNow, Web Hooks, Teams
Transform group of alerts to SLOs
Tracing
Java, Node.js, Ruby, .NET, Go and Python
applications
Log correlation
Multi service sync and async support
Service mesh
Metrics
Quick start for 100+ integrations
Dashboard auto recommendation
Powerful Kubernetes support
Synthetics
Simulate user journeys and collect
performance information
Measure and visualize API performances
Log Management
Out of box standard parsers
Feature Extraction at Ingest
Search & Analytics
Signature analysis & noise suppression
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8. Built-in support for all major stacks
Only a representative list. For updated lists, please visit SnappyFlow Integrations
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9. Trusted by customers across industries
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Global
Electronics Giant
Networking
Technology
Leader

10. Case in point #1
Client
Hadoopclusters
Jobs/day/cluster
Logs/day
5000+nodes
10K+
5-10TB
Reducing resolution time
from weeks to hours
Monitor metrics and logs for Linux, Hadoop Servicessuch as Oozie,
Namenode,Yarn & Hive
Analyze large number of simultaneousMap Reduce and Spark
pipelines running in the cluster.Diagnose any issuesin any stage of
pipelines and identify causesthrough correlation with Linux,
Network or Hadoop ServicesHealth
Create baselinesfor types of job and classifyhealthy or unhealthy
pipeline runs
Predict Utilization of the cluster to help planning cluster growth
RUNNING A MASSIVE BIG DATA STACK AT PEAK PERFORMANCE
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Global
Electronics Giant

11. Case in point #2
Client
Kubernetescluster
Ingestdata
ReductioninEFScost
40nodes
2TB/day
75%
Rightsizing pods and
streamlining data ingest to
save ~ $500K annually
40 node Kubernetesclusterthat runs Kafka, Elasticsearch,Nginix,
Logstashand various micro-servicesin Python,Node.js, Golang.
Petabytesof storage spread acrossS3,Glacierand EFS
Significant performanceissuesdue to large spike loads as well as
facinghigh infrastructurecosts for a while. SnappyFlowwas ableto
help rapidly point out hotspots and isolate issuesthat significantly
improved connection failure issuesas well as need for cache
storage
PREDICTIVE PERFORMANCE MANAGEMENT FOR A PETABYTE
SCALE KUBERNETES APPLICATION
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Networking Technology
Leader

12. Case in point #3
Client Dailytransactions
Ingestdata
Reductioninmonitoringcosts
2,000,000
1.5TB/day
40%
A self-hosted observability
solution to help monitor
transactions across 4 Million
retail outlets
The client initially chose DataDog for their monitoring
needs. While the solution fit their basicrequirements,
there were significant challenges in terms of technical support,
custom feature development, Dataresidency requirements,
cost efficiency.
To addresstheseneeds, SnappyFlowprovided a secure,self-
hosted solution that could be setup within the client’s cloud
account and was designed to scaleup as data ingest rates
scaled up but with a much lower and predictablecost scaling
than DataDog.
PayNearby switched from DataDog to SnappyFlow
for their full-stack monitoring
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13. About SnappyFlow
SnappyFlow is a product from MapleLabs, Inc. MapleLabs is a highly specialized and niche service provider in the areas of
Product Engineering, Performance Engineering, SRE, DevOps & CI/CD.
We are a team of 250 (and growing) highly skilled engineers, passionate about solving complex engineering problems and
building amazing software products.
Pramod Murthy
Co-Founder &
Head of Products& Solutions
Sreeni Potluri
Co-Founder & Head of Sales&
Biz Dev
Srivathsa Mugalodi
Head of India Engineering
Center
Bill Gargiulo
Technical Advisor
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14. Why
SnappyFlow?
Application Centricity
HolisticapplicationdiagnosticwhereMetrics,Logs,Tracing,SyntheticsandAlertsworktogetherina
cohesiveworkflow(asagainstthanworkinginsilos)
Superior Kubernetes diagnostics
InterweavingofKubernetesdiagnosticswithapplicationdiagnostics,out-of-boxdiagnosticsthat
proactivelydetectslurkingissues
Best in class Log Management and Archival
10-40xlogcompressionandS3basedstorageleadingtosteepcostcuts.Inlinesearchanddashboards
oncompressedlogswithoutanyneedof rehydrationasincompetitiveproducts
Ease of integration with AIOPS
EaseofextractinghighvaluefeaturesandintegratewithanyAIOPSsystems
User friendly subscription or licensing
AvailableinSaaSorApplianceorOn-PremSaaSwith
Confidential. © Copyright 2022 MapleLabs Inc. All rights reserved