How to Leverage the Cloud for Business Solutions | Strata Data Conference London 2017
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IT budgets are shrinking, and the move to next-generation technologies is upon us. The cloud is an option for nearly every company, but just because it is an option doesn’t mean it is always the right solution for every problem. Most cloud providers would prefer that every customer be tightly coupled with their proprietary services and APIs to create lock-in with that cloud provider. The savvy customer will leverage the cloud as infrastructure and stay loosely bound to a cloud provider. This creates an opportunity for the customer to execute a multicloud strategy or even a hybrid on-premises and cloud solution. Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations. Along the way, Jim discusses security, backups, event streaming, databases, replication, and snapshots across a variety of use cases that run most businesses today.
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How to Leverage the Cloud for Business Solutions | Strata Data Conference London 2017
- 1. © 2017 MapR TechnologiesMapR Confidential 1 How to Leverage the Cloud for Business Solutions Jim Scott @kingmesal
- 2. © 2017 MapR TechnologiesMapR Confidential 2 Data is at the Core of Business Transformation 1980s Now Early databases Enterprise applications The Internet Digital Transformation
- 3. © 2017 MapR TechnologiesMapR Confidential 3 Data Drives Market Disruption
- 4. © 2017 MapR TechnologiesMapR Confidential 4 Market Disruptors Use Data To Impact Business Outcomes in Real-Time Real-time operational impact Higher customer engagement and lower acquisition cost Eliminate cost, waste, time delay Continuous insight analysis and application
- 5. © 2017 MapR TechnologiesMapR Confidential 5 Industry Leaders Are Investing in Disruptive Technology Now Legacy technology investmentNext-Gen technology investment (80,000) (40,000) - 40,000 80,000 120,000 2013 2014 2015 2016 2017 2018 2019 2020 $ (millions) Investment in Next-Gen vs. Legacy Technologies for Data Total $ growth of IT market Innovating and reducing costs at the same time 90% of data is on next-gen technology in just four years Source: IDC, Gartner; Analysis & Estimates: MapR Next-gen consists of cloud, big data, software and hardware related expenses
- 6. © 2017 MapR TechnologiesMapR Confidential 6 MapR Pressure to deal with Volume, variety, velocity of new data Customers Pressure to deliver more to customer base Pressure to figure out the cloud and containers On prem AzureAWS Your partner’s systems Your legacy Business systems Pressure to reduce cost of legacy
- 7. © 2017 MapR TechnologiesMapR Confidential 7 Time to pause for a moment...
- 8. © 2017 MapR TechnologiesMapR Confidential 8 Cloud and Container Terminology • Data Gravity – Data ingress and egress • Cloud Neutrality – Freedom of choice – Prevent vendor lock-in • Container Image and Repository Other terms that I can explain ???
- 9. © 2017 MapR TechnologiesMapR Confidential 9 Anything Can Fail! Prepare for the worst, hope for the best…
- 10. © 2017 MapR TechnologiesMapR Confidential 10 Customer 360 Website User Profiles Click Stream Activity Stream Website User Profiles Click Stream Activity Stream Amazon Google Cloud On-Prem User Profiles Click Stream Activity Stream Salesforce
- 11. © 2017 MapR TechnologiesMapR Confidential 11 Hadoop & Spark Cluster Document DB Classic Data Warehouse NoSQL Application Server Message Middleware Search ServerIts not the circles, It’s the lines that are hard Expensive to Stitch | Fragile | Limitations for Speed, Scale, Reliability Cloud Processing Alone Does not Solve the Crisis of Complexity
- 12. © 2017 MapR TechnologiesMapR Confidential 12 Putting It In One Distribution Does Not Converge Anything!
- 13. © 2017 MapR TechnologiesMapR Confidential 13 Global Cloud Processing Requirements Global single namespace Omni-directional replication Location awareness Strong consistency by default Continuous, Coordinated, Data flows
- 14. © 2017 MapR TechnologiesMapR Confidential 14 Source: 2016 Docker Survey Clouds And Containers
- 15. © 2017 MapR TechnologiesMapR Confidential 15 Challenge with Containers • Organizations using containers to improve resource utilization, increase developer efficiency, deploy microservices • Most of containerized applications today are stateless – If destroyed and re-deployed, no data is lost and no services are disrupted (ex: simple web front-ends) – Sharing state across many nodes is difficult and/or cost-prohibitive • Container environments don’t provide the reliable storage needed to support stateful applications
- 16. © 2017 MapR TechnologiesMapR Confidential 16 New Product MapR Announces the Converged Data Platform for Docker Supports containerization of existing and new applications by providing containers with persistent data access from anywhere
- 17. © 2017 MapR TechnologiesMapR Confidential 17 MapR Expands and Simplifies Container Usage Flexible Hybrid/Multi Cloud Infrastructure Shared Data Services Per-tenant Processing & Microservices Converged App Containers Enterprise Apps Data Center
- 18. © 2017 MapR TechnologiesMapR Confidential 18 MapR Data Services for Containers • Pre-built, certified container image for connecting to MapR services • Secure authentication at container level, secure connection • High performance • Extensible support for application layers • Available in Docker Hub, Dockerfile for customizability MapR Persistent Application Client Container (PACC) MapR POSIX Client for Containers MapR Converged Client for Containers Space for Customer Application
- 19. © 2017 MapR TechnologiesMapR Confidential 19 MapR Lets Enterprises Run Existing Apps in Containers Solution: MapR PACC allows existing applications to store state in MapR Converged Data Platform, ensuring resilience and availability across application and infrastructure failures. MapR Cluster Advantages • Stateful containers that can restart/move to any node or data center and access data • Shared data repository for multiple apps, operations & analytics • Decoupled scaling of compute & storage Use Cases • RDBMS Persistence (MySQL, Vertica, SAP) • Container Image Store (Docker Registry) • Rapid-ingest Logging (Impressions, Clicks) • Source Control Persistence (Git, Mercurial) • Image Store (Thumbnails, High Res) Container Environment (Mesos, Kubernetes, Docker Swarm) MariaDB Volume Logs Volume Reliable, Persistent, High-throughput Storage
- 20. © 2017 MapR TechnologiesMapR Confidential 20 Container Summary • Huge Opportunity – Organizations are rapidly moving to containerize • Huge Gap for stateful application support • MapR provides a high value, highly differentiated solution • Our tactical solution is part of a much larger strategic initiative
- 21. © 2017 MapR TechnologiesMapR Confidential 21 Converged Data Platform Analytical Applications Operational Applications Converged Applications Complete Access to Real-time and Historical Data in One Platform Developers Creating Database and Event Based Applications (Bottom Line Initiatives) (Top Line Initiatives) Analysts Creating BI Reports and KPIs on Data Warehouse Historical Data Current Data
- 22. © 2017 MapR TechnologiesMapR Confidential 22 Web-Scale Storage MapR-FS MapR-DB Real Time Unified Security Multi-tenancy Disaster Recovery Global NamespaceHigh Availability MapR Streams Event StreamingDatabase MapR Platform Services: Open API Architecture Assures interoperability, avoids lock-in HDFS API POSIX NFS SQL, HBase API JSON API Kafka API
- 23. © 2017 MapR TechnologiesMapR Confidential 23 Converged Application Benefits • Consumers scale horizontally with partitions • 1:1 mapping between consumer and partition • Enables predictable scaling as production needs grow • Data can be seamlessly replicated to another cluster • Enables HA with zero code changes • Data is indexed dynamically according to receivers, senders • Scales beyond the capabilities of Kafka • Snapshots can be taken to capture state • Enables faster testing and deployment of applications
- 24. © 2017 MapR TechnologiesMapR Confidential 24 Reduce costs to improve efficiency Extend capabilities to grow revenues Innovate for disruptive advantage Put the Power of MapR to Work for Your Business Wherever you are on your big data journey
- 25. © 2017 MapR TechnologiesMapR Confidential 25 Converge, Transform and Grow with MapR Innovate for Growth Realize Cost Savings
- 26. © 2017 MapR TechnologiesMapR Confidential 26 Q&A ENGAGE WITH US jscott@mapr.com
Editor's Notes
- How companies store, process and apply data has been at the core of the biggest technology driven advances for decades. We are now in the midst of the biggest transformations in decades that has called into question many of the key assumptions we have about enterprise technology: including that production and analytic systems must be separated.
- Why is digital transformation such an important topic. Well it’s not lost on business leaders that disruption through data is significant competitive threat. We’re all familiar with Amazon. Among other things, the largest bookseller in the world, and Amazon doesn’t own any books. Look at hotel chains that have spent decades building their brand, developing properties, improving their service only to be completely disrupted by a competitor that doesn’t own a single hotel room. CLICK: The largest hotel company in the world in terms of valuation and available rooms is Airbnb. 1.5M listings compared to the combined Marriott Starwood group that has 1.1M rooms. Another example CLICK is Uber now the largest car service without owning a single car or employing a single driver.
- For market disruptors, next-gen applications combine the immediacy of operational applications with the insights of analytical workloads. They leverage continuous analytics, automated actions, and rapid response to better impact business as it happens. And it all happens with the integration of historical and real-time data in a single, unified platform.
- To put this into perspective, let’s start with the big picture.. Over the next four years, companies will experience flat IT spending. But underneath that will be a steady decrease in legacy spend accompanied by a corresponding increase in spend behind next gen technologies. But this chart also provides insight into the solution. The key to reducing costs while driving innovation is the data. CLICK In fact, forecast also shows that within four years 90% of data will be on next gen technology….
- Divolte collector (javascript) Streaming is an integral part of these processing pipelines
- Point products slow customers’ ability to adopt and survive This is the hairball of how competing offerings would put it together by trying to integrate many disparate, siloed products Not just about integration there is a big data problem trying to move it all around (MB generating data at 2GB/second!)
- Perhaps more importantly is that our converged platform also has deep architectural advantages that provide further benefits do support distributed envronments Global Cloud Processing refers to this distributed processing across clusters and data center locations and cloud environments. Characteristics: Global single namespace Location awareness Global strong consistency Omni-directional replication
- let me provide a little context on Containers,. The 2016 Docker survey revealed that 80% of survey respondents consider docker containers as part of a cloud strategy and 60% plan to use Docker to migrate workloads to the cloud. It’s also important to note that 35% are concerned about cloud lock-in and want to avoid it.
- Organizations are focusing on containers to improve resource utilization and efficiency Most of the applications being used with containers are stateless… Stateful applications are difficult....
- This is what we announced at the beginning of February…
- Important to note that this solution is independent of our Big Data heritage. Companies don’t have to start with the analytic stack to benefit. With our converged platform they can certaininly extend to take advantage of this. Our platform is also infrastructure independent…So supporting containers makes organizations more agile within their data centers but they are also set up to take advantage of the cloud and easily take containerized apps to cloud resources. This is where MapR’s data movement capabilties play in so we can pre-position data burst it ahead of the need for an application.
- PACC = Persistent Application Client Container
- 1 line of code Spyglass
- blueprint for converged applications event driven microservices
- So, wherever your company is on its big data journey, rest assured that we can put the proven power of the MapR Converged Data Platform to work to transform your business.
- It’s time to transform your business. Converge, transform and grow the the world’s only Converged Data Platform.