This document discusses the need for second generation cloud monitoring tools and outlines the five key elements of effective cloud monitoring: 1) being fast to detect issues within seconds, 2) using analytics and classification for intelligent monitoring, 3) providing unified views across systems instead of fragmented tools, 4) being simple to set up and use without friction, and 5) using a utility-based pay-for-what-you-use pricing model. Current first generation tools are seen as inadequate for growing cloud demands and in need of improvement in these areas.

1. Cloud Monitoring 101
The 5 Key Elements of Effective Cloud Monitoring

2. Current State of Cloud Monitoring
 No surprise that cloud computing is growing at a rampant rate
 Broader and broader base of organizations worldwide is pushing cloud
infrastructure to:
 Drive new levels of innovation
 Accelerate their business
 Save money
 These users have an ever-increasing set of demands for:
 Speed, simplicity, quality of service and value
 Demands that the first generation of cloud application and server monitoring tools
just can’t provide

3. Enter the Second Generation
 New breed of cloud monitoring on the rise
 SaaS–based solutions
 Smarter, faster, easier, more unified, lighter weight, and more accessible than the previous generation
of cloud monitoring tools
 Many organizations looking for alternatives to current tools
 Nagios, Ganglia, NewRelic, Pingdom, Graphite, and the list goes on
 Users dislike most of these fragmented tools due to the limited functionality or
heavy care and feeding required
 Other tools are either too expensive or too complex for everyday use

4. The 5 Key Elements of Effective Cloud
Monitoring
1. Fast: Seconds Not Minutes
2. Smart: Analytics + Classification = Cloud Intelligence
3. Unified: Integration over Fragmentation
4. Simple: Up in seconds, Friction-free
5. Utility-Based: Pay-for-What-You-Use

5. I. Fast: Seconds not Minutes
 Continuous operations required instant visibility
 Code deploys happen many, many times a day
 You can’t wait 15 minutes for a problem to be detected
 Next generation cloud monitoring is leveraging Big Data, NoSQL architectural advantages
 To measure performance and deliver results in seconds not minutes
 Cloud monitoring must operate on a second-by-second basis
 To know immediately when something goes wrong and where that problem is located

6. II. Smart: Analytics, Classification
 Cloud Intelligence
 Data analytics + relevant classification = cloud intelligence
 Creates information, insight, and visibility
 Integrate for automation with DevOps tools like Chef
 Seamlessly combine how you deploy servers (through Chef recipes and cookbooks) with how you
want them monitored,
 Results in automated monitoring that follows your servers as they are created, updated, and recycled
 Tag servers and instances based on their function, location, OS, or application tier
 Unlocks the value of analytics further by automatically applying appropriate logic for analysis,
alerting, and problem resolution

7. III. Unified: Integration over Fragmentation
 First generation cloud monitoring tools
were siloed and one-dimensional
 Hodgepodge of views and fragmented visibility,
 No unified perspective
 Look for platforms designed for real-time
processing and analysis
 Integrated views across Windows, MacOS X,
multiple flavors of Linux, and FreeBSD systems
 Across hosted environments including Amazon
EC2, Rackspace, private data centers, and any
variety of public cloud providers
 Multi-user access is imperative
 Collaborative operations requires multiple ops
users to share a common view
 Admin views plus read-only options

8. IV. Simple: Up in Seconds, Friction free
 On-premise, enterprise-centric management tools have been notoriously complex
to setup, install, configure, and use
 Not an option with cloud-dependent users
 Cloud monitoring requires instant access to install & immediate time to value
 Admins and ops team are seeking simpler to use, easier to maintain, and more
affordable monitoring solutions than the first gen tools out there today
 Ops teams need tools just like developers
 Without the need for code insertion or system surgery to provide value
 Ops teams need simple, quick, and valuable solutions that integrate together and scale if and when
they scale

9. V. Utility-Based: Pay-for-What-You-Use
 Public cloud services are on-demand
and paid for per hour
 Cloud monitoring solutions must follow that
model
 Consistent utility, pay-for-use pricing
 Cost-effectively monitor your infrastructure
and apps as your instances spin up and spin
down
 Only get charged for what you actually
monitor
 As cloud users ebb and flow
throughout the day, their instances
spin up and down
 Cloud monitoring pricing should fairly reflect
how the system is being used

10. Summary
 Cloud monitoring demands growth
 First generation users losing patience, looking for something better
 Second generation users demanding less complexity, better value
 Five key elements of effective cloud monitoring
1. Fast: Seconds Not Minutes
2. Smart: Analytics + Classification = Cloud Intelligence
3. Unified: Integration over Fragmentation
4. Simple: Up in seconds, Friction-free
5. Utility-Based: Pay-for-What-You-Use
 For more cloud monitoring information check out CopperEgg at
 http://copperegg.com/
 https://twitter.com/copperegg