Brief Introduction to Enteras BSIM Product as developed in 2016 for solving emerging problems in agile DevOps/SecOps in hybrid, Multi-Cloud environments..

1. Powerful Predictive Business Services
Intelligent Monitoring (BSIM) for DevSecOps
Automated Services Mapping Technology
ML driven Correlation Engine and Advanced
Analytics for detecting hard to find business
impacting issues
Single System of Record for containerized
services across hybrid and multi-cloud
environment
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2. Business Services Health in an Hybrid, Multi-Cloud environment
• How do you prevent service outages in your containerized services environment across hybrid, multi-
cloud?
• Are you overwhelmed with plethora of service monitoring tools that aren’t up to date with latest tech?
• How do you assure policy compliance and service levels in the agile environment?
• How do you isolate application service incidents?
• How do you find the root cause in a complex environment you have no insight into?
• Do you know what impact will service configuration changes have on your business?
• How do you test for compliance? How do you ensure your configuration policies are meeting your IT and
security compliances in Hybrid multi-Cloud deployment?

3. BSIM Platform Architecture
BSIM Multitenant Platform
Data Enrichment
Knowledge Library
Policy
Monitoring & Control Predictive Analysis
Inventory
Data
Federation
Workflow Automation
Self Remediation
SLA Reporting
(Jasper / SAP
Crystal or SHA)
ML Models
MPP CLUSTER DB
SQL/NOSQL/Historical
Run time
Topology/Service
Modeling
& Search
Data Streaming/
Perf Metrics
Cluster & Multiitenancy Management
Probe DB
DF Probe
Preprocessing
Data Collection
(Inventory, Relationships,
updates)
On Prem Cache
Correlation
Engine
MDR’s
SM, CMDB, log
Servers
Monitors
Nagios, Zabbix
Sensu..
UI
Dashboard
Reports
CIO, Dev/Sec/Ops
Data Scientist
Business User
Data Modeling
Log Analysis
Search & Adhoc
Analysis
On Premise or Cloud On Premise or Cloud (SaaS Model)
Admin
UI
VM, Cont Events
SNMP Traps
HTTP/HTTPS
WMI, Netbios
SSH/TELNET
ICMP
IPMI
SNMP, Netflow,
JFow, sFlow, RMON
AWS, GCP, Azure
Ticketing
Integration
3rd Party
Integrations
Containerized Apps / Microservices
in Hybrid Cloud Ops – DevSecOps
syslog
VM/container events
Azure
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4. BSIM MVP Architecture
Enteras App/UI
ElasticSearch
Services Data Model
Correlation of data across
KPI/metrics/events
Enteras Web Service
Historical Data
- Indexed Logs (HDFS)
- Events (HDFS)
- KPI Metrics (HBASE)
Logstash
• Format Normalization
• Filtering
HDFS
Enteras Correlation Engine - Spark ML
Neo4j Graph Data Model
HBASE
Kyln
Predictive Analytics
KPI-Metrics
Federated
Events/Alerts
Probes/Agents
App Logs
Twitter/Social
Media Feeds
Incidents
K
A
F
K
A
B
U
S
Adhoc Search & Log
Queries
Data Collectors
• Clustering of Log Data
• Parameter Extraction
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5. Predict
• Prevent Perfect Storms situations and service impacting events
• Proactive Analytics to improve business services performance and availability
Analyze
• Advanced analytics for fast anomaly detection and pinpointing root cause
• Finding known and unknown service impacting problems through powerful correlation
engine
• End-to-end business service impact assessment of configuration changes
Optimize
• Recommend and optimize configuration changes
• Align business, IT and security policies to assure SLA’s
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Enteras BSIM