vusmartmaps log analytics datasheet v2
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Log Analytics
vuSmartMaps TM
An award-winning AI and ML-powered monitoring platform from VuNet Systems.
vuSmartMapsTM Log Analytics is powered
by Big Data MLOps platform to unify,
structure, and analyse log data from
500+ distributed and diverse data sources.
The Enterprise-grade Log Analytics
platform powered by ML led KPIs provides
intelligent insights and accelerated
diagnostics with integrated data sets that
enable Business and Ops team to drive a
superior user experience.
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Log Analytics
Intelligent InsightsDeriving
from your data
www.vunetsystems.com
Data Lake
Data Ingestion
Data Cleaning
Data Enrichment
ApplicationLog
ExceptionLog
NetworkLog
DatabaseLog
InfraMetrics
SysLog
EventLog
ErrorLog
OfflineLog
Configfiles
Data Source
Business
CXO
IT Ops
Dev
Security
Support
AutomatedInsights
DeployableAI
Monitoring Analytics
ML Ops
AlarmConsoles
Built-in MLOps to detect anomalies, predict
incidents, create better KPIs to measure user
experience, performance of IT systems and
proactively identify anomalous behaviour.
Differentiators
Key Benefits
Effective root cause analysis and faster remediation resulting in operational efficiencies
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Proactively identify unusual behaviour to unearth and resolve issues
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Any source & any format4
Log consolidation for holistic visibility5
Instant alerting of security and compliance red flags
3Optimize resources by automating manual log diagnostics
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Intelligence
The platform components including the data
pipeline, algorithms, models and UX are
proven to work for TBs of data, processing
billions of transactions to derive real-time
intelligent insights.
Scalability
Enterprise-Grade Log Analytics platform can
be used as a SaaS or deployed on-premises to
create multiple analytics use cases from logs
and apply deployable AI models.
Flexibility
Our shipper/analyser framework with advanced adaptors, inbuilt queuing mechanisms and session
plugins ensures no data loss along with deep analytics and uperior semantics.
Accuracy
Data ingestion for 500+ sources of standard
and proprietary formats of TBs of data
performed through 500+ readily available
adaptors utilizing less than 1.5% of compute.
Robustness
3www.vunetsystems.com
MLOps and anomaly detection on enriched log
data, provide intelligent insights on operations
that predict performance degradation and
ensure system uptime for a superior user
experience.
Key Capabilities
ML Driven Intelligence
We provide out-of-the-box dashboards that
consumed rich data from the Big Data
Analytics platform, enabling teams to monitor,
identify, analyse, and visualize data resulting
in actionable proactive and predictive insights.
Rich ready-made dashboard
Our powerful Big Data platform consolidates
log data and enriches it with business and
domain context to make it information-rich to
enable data-centric deployable AI models.
Dynamic Data Enrichment
Our autonomous ensemble models provide
insights on anomalous log patterns across
apps, infra and networks, exposing potential
declines that prevent failures and empower
Ops beyond pre-defined rules.
Anomaly Detection
Ready-made and highly optimized agentless
and agent-based adaptors, collect and
interpret log data from any source, of any
format, with the ability to ingest multiple
TBs of distributed log data with zero
instrumentation and no impact to existing
systems.
Extensive Data telemetry
Our correlation algorithms (pending Patent)
create enriched contextual alerts based on
advanced correlation of logs data across
applications, infrastructure, and network
instead of siloed function tracing or code
level view.
Advanced Correlation
Our optimized Data Lake with extendable
architecture leverages Big Data to ingest and
consolidate the log data from diverse log
formats into a single platform that is enriched
for deployable AI models.
Unified Data Lake
Alerts are easily configurable and provide
reporting capabilities in diverse, rich formats
(pdf, csv) and provide real-time intelligent
insights into system performance.
Proactive Alarm Console
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Use Open APIs to easily integrate your ITSM,
BI and Automation systems to enhance the
Data Lake with enriched log data.
Integrate into otherbusiness systems
Post implementation sustenance services to
derive maximum value from the platform.
Sustenance services
5www.vunetsystems.com
Data Sources
ServerOracle
CiscoApach
e
IBM
SQLAppSwitches
Routers
Services JuniperFirewall
WirelessFortigate
Nginx
HTTP
MicrosoftRemedy
BMCGoogleWeblogic
IISTomcat Jboss
Network
ISO
Servers
Cloud
Systems
ContainersMonitoring
Databases
Banking
Synthetic
Retail /Corporate
Azure
AWSFormats
Gelf
JIRA
Standard
OTRS
Salesforce
Rackspace
Management
Cash
ServiceNowReal
ManageEngine
user MySql
Internet
UNIX
IBM
/IIB
IBM /WebSpherePromotheus
New
JMS
memcached
Kafka
Redis
RabbitMQ
XMPPRelic
DataDog
Manage
Engine
Dynamics
Agent
SCOM
NNMI
Nagios
Logstash
Graphite
Flavors
Puppet
Log4JAEPS
RuPay
UPI
IRC
POP3
API
Integration
GitHub
IMAP
Lumberjack
MeetUp
Suite
IMPS
Gateways
sockets
Unix
RELP
STOMP
TwitterREST
haproxy
Directory
DNS
DHCP
NIS
Active
Wordpress
Payment
Chef
Drupal
Jhoomla
Generic
Golang
Fina
cle
Vsphere
ACS/OTP
jolokia
ZooKeeper
Drop
Wiza
rd
Secure
ACS
Mobile
Ansible
Ceph
Router
Brocade
Netiron
Extreme
TrafficNexus
BFSI
Application
Stack
s
ITSM Networks
Netgear
PaloAlto
HSMCyberoam
Solaris CheckpointSSG
HuaweiArubaRuckus
ASA
SUITEGOOGLE
MessageBrokers platforms
Devices
Load
Web
Log
CMSEnd
User
Linux
AIX
Solr
Data
Java
NET
A10
mysql