Containerization of microservice based applications enables full team responsibility from code, to operations and eventually maintenance, which enables faster time-to-market, shorter feedback cycles and maximizes continuousness delivery. This modern approach leads to a much higher rate of change, which in turn can lead to chaos. The challenge is how to make sense out of the chaos that deploying containerized microservices at scale creates, and how to get visibility into everything inside, outside and around the containers including the quality of the application’s services. Join the technical experts from Mesosphere and Instana as they tackle visibility and orchestration requirements to deploy and manage your containerized microservice apps and infrastructure.

1. Microservice Monitoring and Quality
Management for Modern Apps and
Infrastructures

2. Speakers
Pavlo Baron, CTO, Instana
Ravi Yadav, Partnerships Architect,
Mesosphere
Pedro Pacheco, Solutions Architect, Instana

3. Why Instana & DC/OS?
Pavlo Baron, CTO, Instana

4. Architectures Have Evolved
Host Container Middlewar
e
Microservices Business Service
Complexity + Scale Never Cease
Modern Architectures Have Evolved to a
new Level of Distribution and Scale

5. Mesosphere
DC/OS
DC/OS is the Foundation for
Modern Architecture Implementation
• Scheduling
• Container lifecycle management
• Location transparent resource
management
• Continuous deployment

6. DC/OS engineers and automates change
•Containers facilitating rapid
development and deployment
•A container allocation from DC/OS
change code, dependency,
messaging structure

7. Feedback! What just happened!
• What changed?
• Where did change occur?
• Was there any quality impact?
• What is the root cause?
In a system of constant change, operators
need feedback!

8. Polling Question #1

9. © 2017 Mesosphere, Inc. All Rights Reserved. 9
MESOSPHER
E DC/OS
Ravi Yadav, Partnerships Architect

10. PLATFORM SERVICES
CONTAINER
ORCHESTRATI
ON
CI/CD
BIG DATA
ANALYTICS
MESSAGE
QUEUE
DISTRIBUTED
DATABASE
SEARCH
BUSINESS APPS
Distributed
computing expertise.
DevOps process &
culture.
Cloud-native
technologies.
OPERATIONAL EXPERTISE
INFRASTRUCTURE
PHYSICAL VIRTUAL CLOUD
BUILDING THE MODERN
ENTERPRISE STACK
10

11. BUSINESS APPS
$
$
$
$
$ $
$
$
$
$
$
$
$$
$$
$ $
$
$ $
$
$
$
$
$
$
CLOUD LIMITATIONS
- LOCK-IN
- HIGH COST
- NO CONTROL
AWS
PLATFORM SERVICES
OPERATIONS & TOOLS
ADMINISTRATORS OPERATIONAL PROCESSES PROPRIETARY TECHNOLOGIES
CONTAINER
ORCHESTRATI
ON
CI/CD
BIG DATA
ANALYTICS
MESSAGE
QUEUE
DISTRIBUTED
DATABASE
SEARCH
AWS INFRASTRUCTURE (EC2)
11

12. BUSINESS APPS
MESOSPHERE ENTERPRISE DC/OS
CONTAINER
ORCHESTRATI
ON
CI/CD
BIG DATA
ANALYTICS
MESSAGE
QUEUE
DISTRIBUTED
DATABASE
SEARCH
PLATFORM SERVICES
RESOURCE
MANAGEMENT
OPERATIONS SECURITY MULTI-TENANCY
DATACENTER-CLOUD OPERATING
SYSTEM
APACHE MESOS
PRIVATE CLOUD AWS INFRASTRUCTURE
(EC2)
GOOGLE CLOUD MICROSOFT AZURE
MESOSPHERE
ENTERPRISE DC/OS
More than 100 services
CLOUD INDEPENDENCE
12

13. © 2017 Mesosphere, Inc. All Rights Reserved.
MESOSPHERE DC/OS: RUN YOUR DATACENTER AS A
GIANT COMPUTER
Deploy & run complex services with an app
store like experience
Manage your infrastructure as a single giant
computing pool

14. © 2017 Mesosphere, Inc. All Rights Reserved. 14
NEW UI
DC/OS
DC/OS 1.9

15. © 2017 Mesosphere, Inc. All Rights Reserved. 15
KEY THEMES - DC/OS 1.9
WORKLOADS
● Pods
● GPU based
scheduling
COMPLIANCE
REPORTS
● NIST-800/53
● ISO 27001
● FISMA-Mod.
● SOC-2
● HIPAA
● Alluxio
● Couchbase
● Datastax DSE
● Elastic (ELK)
● Redis
● Apache Flink
DATA SERVICES
ECOSYSTEM
OPERATIONS
● Remote Container
Shell
● Unified Metrics
● Unified Logging
● Deployment
Failure Debugging
● Upgrades &
Configuration
updates

16. © 2015 Mesosphere, Inc. All Rights Reserved. 16
WHY MESOSPHERE?
Unmatched Technology: DC/OS
● Containers in production at scale
● Stateful data services
● Maturity of technology
● Easy to install & run - anywhere
(cloud, physical VM)
● Evergreen platform with DC/OS services
Experts on Distributed Systems
● Experts & committers of open source
software (e.g., Mesos)
● Experience building & operating
distributed systems at scale
● Experience helping enterprises solve
real modern apps challenges
e

17. Polling Question #2

18. Host
Container
Middleware
Modern Architecture
MicroService
s
Business Service
Modern
Technology Stack
Business ServiceBusiness Service
•Interconnected with multiple
dependencies
•Many programming languages and
frameworks
• Many container vendors
• Variety of service types, micro to
macro
• Legacy components

19. Challenge with Monitoring Modern Architectures
Host
Middlewar
e
Microservice
Container
Custom Tracing or
APM LoggingContainer monitoringSystem monitoring
• Alerts come from technical silos
• No correlation between alerts and
business services
• Alarms don’t map to problems
• No context of situation
• Sampling/statistical based
monitoring
• Too much specialized expertise
needed to assure quality
No Alignment Between Tools
and the Modern Stack
Business Service
Misalignment = Zero Visibility

20. Instana’s Dynamic APM: Bringing Order to Complexity and Chaos
Host
Container
Middleware
Code Exceptions/Errors
MicroService
Business
Service
Business KPIs &
SLAs
Automatic discovery of architecture with
alignment of context:
• Vertical technical stack
• Service dependency map
• Measurement of service quality

21. Automatic Root Cause Analysis in 3 Seconds
Immediate exact problem
identification with full context

22. Data Ingestion &
Health Calculation
Sensor Data
Real-time Stream
Processing
Incident
Detection
Alerting
Dependency
Health
Metrics
Dynamic Graph
API &
CLI
Configuration
Instana Processing Pipeline
3 seconds from sensing to root cause identification
Quality of
Service
3D Map

23. One Agent
per Host
One Sensor per active
component
Continuous discovery
up the stack
Trace messages
between microservices Sensor Repository
Agent
Knowledge Engine
Elasticsearch
sensor
Tomcat
sensor
JVM sensor
Linux sensor
Auto Discovery
Communication
Local
Sensor Memory
&
Contextual
Compression
Immediate, Automatic and Continuous Discovery of Components and Dependencies

24. Demo Use Cases
Continuous and Automatic Discovery
Application Mapping
Changes Detection and Marathon Events Correlation
Root Cause Understanding

25. Polling Question #3

26. Demo