of CEOs see technology change as the #1 external force that could most impact their organization over the next 3-5 years Transformation: Business, Technology & Culture 71%
enabling a new world via mobile global connections at any moment connections virtually everywhere Any Place Any Device Adoption Speed Any Team Any Time Big Trends vitally important to stay ahead consumer leads, business follows minds of many need to collaborate
Decreasing cost enables virtually limitless storage in the cloud. $600 can buy enough storage for the world’s music. (Source: McKinsey Global Institute May 2011) Computing as a utility is now available for easy purchase, provided from massively efficient data centers. (Source: Nicholas Carr, The Big Switch, 2008) The internet allows for a model of real-time access to new innovation, information, and applications from a wide range of devices. Affordable capacity On-demand computing Instant access IT Trends
Product Momentum August 2013 Encryption at Rest for Cloud Storage Layer 3 Load Balancing in Compute Engine June 2014 Docker support HTTPS Load Balancing SSD Persistent Disk November 2013 Cloud Endpoints GA Dedicated Memcache GA December 2014 Compute Engine GA Persistent Disk March 2014 AppEngine with Managed VMs Windows Server, SuSE, RHEL support BigQuery streaming @100K RPS Major price drops February 2014 Cloud SQL GA HIPAA Support
Economies of scale from sharing infrastructure with other developers and reduction of “fragmentation”. Infrastructure changes too rapidly to be locked into physical platforms - you could miss the next competitive advantage. Every second spent on infrastructure and operations is time not spent on your applications, your customers, or your business. Always Lower Cost Flexibility + Adaptability Why Are Developers Moving to Cloud Lets You Focus on Customers
Computing Patterns • On & off workloads (e.g. batch job) • Over provisioned capacity is wasted • Successful services needs to scale • Difficult to provision hardware • Unexpected/unplanned peak in demand • Sudden spike impacts performance • Can’t over-provision for extreme cases Growth Bursting On and Off
But prices are not falling fast enough • Hardware costs have dropped 20-30% annually Hardware Cost Public Cloud Prices • Public cloud prices have dropped 6-8% annually Source: Google Internal Data 2014 2006
100% 0% 20% 40% 60% 80% Sustained Use Previous On Demand New On Demand $0.11 $0.10 $0.09 $0.08 $0.07 $0.06 $0.05 $0.04 $0.03 Sustained-use discounts Net Price Per Hour
Developer Productivity • Use the tools you know and love • • Fast, reliable deployments • • Isolate and fix issues in production Developer Productivity Time to Market Scale and
Developer Productivity ● Single interface for monitoring all of your cloud resources ● Rich dashboards and alerting capabilities ● Find and fix performance problems quickly Cloud Monitoring Cloud Monitoring Powered By StackDriver
Developer Productivity ● Debug Production Applications without Stopping the process ● Inspect Stack, locals, parameters ● Safe for production: No user noticeable effects Cloud Debugger
Developer Productivity ● Visualize time spent in your application ● Quickly identify performance bottlenecks ● Compare performance from release to release Cloud Trace
Manage your infrastructure Flexibility Agility Google Compute Engine Your Code Compute as a Spectrum Replica Pools Provisioning and health checking Managed VMs OS management, deployments Your Code Your Code App Engine Managed Runtimes Manage your serving stack Your Code
• Package applications Independent of the VM layer • Predictability • Quality of service • Efficient overcommit • Resource accounting At Google, we have been doing this for many years... Images by Connie Zhou Containers and Kubernetes
Networking • Projects are isolated private networks • Networks can be global • Addresses • public and private: free while in use • Routes, gateways, VPNs, and IP Forwarding • Google has a massive backbone with best in class throughput and performance • This makes GCP the prime-move for latency and throughput sensitive information -- ie content and data
Complex technical infrastructure to support distributed computing Requires specialized expertise Big Data is Hard Big Data is Expensive Time consuming Big Data remains inaccessible Storage costs scale with larger datasets Computing resources must be provisioned for peak-loads Personnel are expensive
No complex data architecture required Use the technical and product skillsets you already have Big Data is Hard Big Data is Expensive Google is making Big Data accessible Pay on-demand for only the resources you use Take advantage of falling prices & Moore’s Law Reduce infrastructure management burden Easy Affordable Query within seconds and get real-time results
Store Capture Analyze We help you manage the entire lifecycle of Big Data BigQuery Dataflow Open Source Tools Pub/Sub Process Dataflow Storage Datastore SQL
Streaming+Batch+Graph • Near real-time analysis • High fidelity, low latency • Focus on results, not sharding and transforming Streaming: Real-Time Data Graph: Variable Analysis Batch: Volumes of Data
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