The document discusses different tools for monitoring application, network, and infrastructure topologies in an enterprise environment. It recommends tools that can monitor across all three silos and provide out-of-the-box support for most enterprise stacks, both on-premises and in the public cloud. Boundary, AppFirst, LogicMonitor, ScienceLogic, and DataDog are highlighted as tools that meet these criteria. Key selection factors include integration coverage, ease of use, cost, and example enterprise customers.

1. Monitoring
What is next?
Application-Aware Cloud Infrastructure
Performance Monitoring

2. Enterprise would require to monitor 3 topologies
● Application Topology- The application topology is defined by developers
● Network Topology- Network topology is defined by network engineers
● Infrastructure Topology- This is defined by storage, server and virtualization admins who
leverage the network to deliver applications to IT end users
APM- Application support/ development teams need application performance monitoring
View from within the application since these tools instrument the application itself
Example- Dynatrace, AppDynamics, Newrelic etc
NPM- Network Performance Monitoring
Looks at the result of the application execution as it traverses the network.
Example- Appneta Pathview, Corvil, Riverbed etc
Server/Infra Monitor- Looks at the generic infra KPI
Example- Copper Egg

3. What holds the key for enterprise?
● Don't overlook the need for the three topologies when building a monitoring
strategy because enterprise needs topological performance data across
three silos
● Look at the tools that blends all three
● Out of box monitoring capability for most of the enterprise stack
● Public Cloud and on prem monitoring capability
● The ability to get up and running in moments as we move towards
disposable infra
● Enables you to perform root cause analyses, which are essential for
enterprise service delivery
● Cost

4. Selection
Boundary
NewRelic
Appfirst
Logic Monitor
Science Logic
DataDog

5. Boundary
+ Integration Available for most of the enterprise stack
+ Real Time (in one-second granularity)
+ The topological views include the throughput and latency among nodes,
and events are generated when they deviate from performance baselines.
+ Easy config
+ Infrastructure Agnostic
Customer- Netflix, Expedia, Adobe
Cost- $8 / Server / Month
$0.17 per App metric per month

6. Newrelic
+ Integration Available for most of the enterprise stack
+ Best tool for workload performance analysis
- Too expensive (149 USD per month per host) so we left this out
Customer- Microsoft, Sony, Intuit etc

7. Appfirst
+ Integration Available for most of the enterprise stack
+ Private cloud as well as public SAS
+ AppFirst looks at process and network communications, building maps of the application
communication paths from a process perspective
+ Auto configuration (This includes dashboard as well)
+ Understand the flow of of data across network, including the volume of network traffic, and
average response times between VMs/servers and processes
+ Track down processes with slow response times – whether it was due to service configurations,
poor coding techniques or even a bad SQL join statement.
+ Predictive Alerting based on application behaviour learning
+ Log ingesting, indexing and searching capabilities
Customer- Dell, Spotify, Pivotal CF
Cost- I have requested them for the cost and waiting for their response

8. Logic Monitor
+ Integration Available for most of the enterprise stack
+ Favorite with MSP
+ The product struggles with getting deeper into the application-level metrics,
requiring the use of APM technologies to complement the offering
+ Easy configuration
Customer- iVenture, CSI etc
Cost- 4 USD to 20 USD per host per month

9. Science Logic
+ Covers Infra and Network stack very well
+ No code instrumentation capabilities
+ ScienceLogic's built-in CloudMapper automatically discovers and maps the
cross-technology and cross-cloud dependencies
+ Easy configuration
+ Available as a virtual and physical appliance, or SaaS based solution
+ Multiple levels of data segmentation, by business unit profile, geography
profile, technology profile, and many other profiles
Customer- Kellogg, AT&T, CSC etc
Cost- 4 USD to 20 USD per host per month

10. Data Dog
+ Most of integration available
+ On prem and public cloud
+ Create baseline and metric based on any input as the dashboards are
highly configurable
+ Has statsD integration so custom metric could be pushed and graphed to
the datadog server
+ Easy configuration
Customer- Facebook, Samsung, Shopify etc
Cost- 10 USD to 15 USD per host per month