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www.huawei.com
Krishna M Kumar
Chair Cloud Platforms Group CCICI & Lead Architect cloud @Huawei India
@IEEE Conference – 31st October 2015
Contents (more focus to open source)
1) Containers
2) Data Bases
3) Big Data Analytics
4) Machine Learning
5) API Management
6) Security
7) Compliance
8) DevOps
9) Mobile PaaS
10)Other Areas
This is not a ‘PaaS Introduction’ presentation. This presentation tries to
give more ‘links and pointers’ towards the PaaS future – or emerging
technologies. Latest news segments are included to it for good reading.
Introduction to Platform-as-a-Service (PaaS)
Platform as a service (PaaS) is a category of
cloud computing services that provides a
platform allowing customers to develop, run,
and manage Web applications without the
complexity of building and maintaining the
infrastructure typically associated with
developing and launching an app.
PaaS can be delivered: as a public cloud service
from a provider, or in private data centers as a
service managed by internal IT or hybrid
model.
Cloud applications and data platforms are part
of the PaaS offerings.
Gartner Magic Quadrant – PaaS vs. IaaS
Gartner Hype Curve – Emerging Technologies
http://www.gartner.com/newsroom/id/3114217
GitHub – Top Coding Languages
http://www.wired.com/2015/08/github-data-shows-changing-software-landscape/
PaaS Emerging Technologies
Let us Start
1. Containers
Operating-system-level virtualization is a server-virtualization method where the kernel of an operating system
allows for multiple isolated user-space instances, instead of just one. Such instances called containers, may look and
feel like a real server from the point of view of its owners and users.
Containers
PaaS or IaaS, everything's about CONTAINERS now
http://www.theregister.co.uk/2015/06/25/red_hat_goes_container_crazy/
Docker is a key enabler in PaaS and very popular.
Even the virtualization King VMWare Preps its virtualization stack for Docker
http://www.computerworld.com/article/2912136/virtualization/
vmware-preps-its-virtualization-stack-for-docker.html
 Docker death blow to PaaS? The fat lady isn’t singing just yet folks
Could they work together? Yeah, why not
http://www.theregister.co.uk/2015/06/01/did_docker_kill_paas/
 Part of Gartner’s Hype Curve - Micro-datacentre: Whereas an average container-based datacenter hosts dozens of servers and
thousands of virtual machines (VMs) within a 40ft shipping container, a micro-datacentre includes fewer than 10 servers and less
than 100 VMs in a single 19in box. Just like containerized datacenters, MDCs come with in-built security systems, cooling systems
and flood and fire protection -http://www.computerweekly.com/feature/Micro-datacentre-What-IT-problems-it-solves-and-what-
workload-systems-is-it-best-suited-for
 Part of Gartner’s Hype Curve - Hybrid Cloud Computing - As organizations attempt to strike a balance between having all
computational services on premises and offloading storage and computational time to the cloud, a logical middle ground has
emerged: the hybrid cloud - http://www.zdnet.com/article/hybrid-cloud-what-it-is-why-it-matters/
Container Wars  Container Wars - Review: Rocket vs. Odin vs. Docker
http://www.networkworld.com/article/2952884/cloud-
storage/container-wars-rocket-vs-odin-vs-docker.html
 Open Container Initiative (OCI) - for the express purpose of creating open
industry standards around container formats and runtime -
https://www.opencontainers.org/
 Cloud Native Computing Foundation (CNCF) - Drive Alignment Among
Container Technologies - https://cncf.io/
Some Container Technologies Coming UP
Rancher – by Rancher Labs
https://github.com/rancherio/rancher
Flocker – by ClusterHQ
https://github.com/ClusterHQ/flocker
Clocker – by Cloudsoft
https://github.com/brooklyncentral/clocker
Tutum - https://www.tutum.co/
Flynn - https://github.com/flynn/flynn
Datawise - http://www.datawise.io/
BlueData - http://www.bluedata.com/
Kismatic - https://github.com/kismatic
PortWors - http://portworx.com/index.html
Shippable – https://app.shippable.com/
Sysdig - http://www.sysdig.org/
Twistlock - https://www.twistlock.io/
Weaveworks - http://weave.works/
Containers – Major Features
 Introducing the Fan – simpler container networking
https://insights.ubuntu.com/2015/06/24/introducing-the-fan-
simpler-container-networking/
FlockPort with Fan https://www.flockport.com/simplify-
container-networking-with-ubuntu-fan-project/
 Docker Adds Container Networking, Deployment Options
http://www.informationweek.com/cloud/docker-adds-
container-networking-deployment-options/d/d-
id/1320996
 New Features – Clustering, scale-up, Orchestration.
http://searchsoa.techtarget.com/feature/Dockers-technology-
roadmap-boasts-new-technology
 Hands on with Windows Server 2016 Containers
http://www.theregister.co.uk/2015/08/31/hands_on_with_wi
ndows_server_2016_containers/
 Container Engine & Container Registry from Google
http://googlecloudplatform.blogspot.in/2015/06/Container-
Engine-Container-Registry-Updates-New-Features-
Pricing.html
 Container Security https://coreos.com/blog/container-
security-selinux-coreos/
 Amazon EC2 Container Service becomes available,
featuring new scheduler
http://venturebeat.com/2015/04/09/amazon-ec2-
container-service-becomes-available-featuring-new-
service-scheduler/
 Relic Launches New Features - micro services
https://blog.newrelic.com/2015/05/06/modern-
architecture-trends/
Containers - Orchestration Few recent developments:
• Apple Unifies Cloud Services Platform Amid Open-
Source Push
https://www.theinformation.com/apple-unifies-
cloud-services-platform-amid-open-source-push
Developing a new technology platform that can
power all of its Web services - the new platform is
based on the one Apple developed to run Siri which
uses open-source infrastructure software called
Mesos.
• Mesosphere and EMC Team Up to Expand DCOS
Storage http://www.marketwired.com/press-
release/mesosphere-and-emc-team-up-to-expand-
dcos-storage-nyse-emc-2062182.htm
• Azure with Docker & Mesosphere
http://www.infoworld.com/article/2987232/cloud-
computing/docker-and-mesosphere-power-
microsofts-new-azure-service.html
• Cores OS Tectonic for Kubernetes - CoreOS Launches
Preview Of Tectonic, Its Commercial Kubernetes
Platform http://techcrunch.com/2015/07/21/coreos-
launches-preview-of-tectonic-its-commercial-
kubernetes-platform/
Swarm – by Docker
Native clustering by existing
Docker API to make a cluster of
machines look like a Single API.
https://docs.docker.com/swarm/
Kubernetes – by Google
Manage a cluster of Linux
containers as a single
system to accelerate Dev
and simplify Ops.
http://kubernetes.io/
Mesos – by Apache & Mesosphere
Popular cluster Management Solution
with generically scheduling algorithm
and co-exist with other schedulers.
http://mesos.apache.org/
Diego – by Cloud Foundry
Runtime powering for tasks and long
running process automatic distribution.
https://github.com/cloudfoundry-
incubator/diego-design-notes
Stratoscale – by Stratoscale
Next generation Data center os
for hyper converged infrastructure
on the same platform.
http://www.stratoscale.com/
Magnum – by
Openstack
Container mgmt
service
https://docs.docker.
com/swarm/
Fleet – by CoreOS
Container
management and
deployment
https://github.com/c
oreos/fleet
2. Data Bases
A database is an organized collection of data. It is the collection of schemes, tables, queries, reports, views and
other objects. The data is typically organized to model aspects of reality in a way that supports processes requiring
information, such as modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.
SQL (Relational Database-as-a-Service - RDS)
 DBaaS vs. PaaS - https://blogs.oracle.com/realworldcloudplatform/entry/database_as_a_service_and
 Database Cloud and the Transformation of PaaS - http://data-informed.com/database-cloud-and-the-transformation-
of-paas/
 The three leading relational vendors -- Oracle, IBM and Microsoft -- all offer in-memory capabilities in the latest
versions of their DBMS’es.
 Microsoft in-Memory OLTP (In-Memory Optimization) - https://msdn.microsoft.com/en-in/library/dn133186.aspx
 Distributed in-Memory Database - http://www.memsql.com/
 Which in-memory DBMS best fits your company's needs? -
http://searchdatamanagement.techtarget.com/feature/Which-in-memory-DBMS-best-fits-your-companys-needs
 Pivotal is taking on Oracle’s traditional database business with its latest effort to advance open source. The company is
contributing both HAWQ advanced SQL on Hortonworks’ Hadoop analytics and MADlib machine learning technologies
to The Apache Software Foundation (ASF). http://www.cio-today.com/article/index.php?story_id=1310047VB758
NoSQL (Database-as-a-Service)
 Ten standout NoSQL to try - http://www.infoworld.com/article/2606556/nosql/10-standout-nosql-databases-to-
try.html - There are several NoSQL players in cloud – Redis, Cassandra, Riak, MongoDB, CouchDB, OracleNoSQL,
Neo4J, DynamoDB, RethinkDB, etc.
Note:
 Apple's secret NoSQL sauce includes a hefty dose of Cassandra
http://www.techrepublic.com/article/apples-secret-nosql-sauce-includes-a-hefty-dose-of-cassandra/
A year ago, Apple said that it was running over 75,000 Cassandra nodes, storing more than 10 petabytes of data. At
least one cluster was over 1,000 nodes, and Apple regularly gets millions of operations per second (reads/writes) with
Cassandra. In the real world, is that Cassandra is good for applications that must always be on (e.g., for online
transactions) or high-scale applications (like British Gas using Cassandra to store IoT sensor data and make it available
immediately for analysis).
 11 common web uses cases solved in Redis – caching, queues, KV Store -
http://highscalability.com/blog/2011/7/6/11-common-web-use-cases-solved-in-redis.html
 Use case MongoDB – Catalog, Log Data, content management - https://docs.mongodb.org/ecosystem/use-cases/
 Why Graph Database for IoT - open a new world of network and device monitoring and management, allowing
more sophisticated types of impact and dependency analysis - http://neo4j.com/blog/graph-databases-perfect-
internet-things/
In-memory PaaS – (e.g: SAP HANA)
 SAP HANA is an in-memory computing platform that has completely transformed the relational database industry.
It combines database, application processing, and integration services on a single platform. The same architecture also
provides libraries for predictive, planning, text processing, spatial, and business analytics. It is more than a Database.
http://go.sap.com/india/solution/in-memory-platform.html
3. Big Data Analytics
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate.
The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from
data, and seldom to a particular size of data set.
Hadoop
 Top trends in Big Data – BigData on Cloud, Sophisticated ETL, SQL on Hadoop – like Apache Hive, NoSQL,
Datafication, multipolar analytics, fluid analytics, Data Lakes – incremental organic model of building large scale data
set. http://www.zdnet.com/article/2015-interesting-big-data-and-analytics-trends/
 Leading Hadoop Players: Cloudera, HortonWorks & MapR
 MapR Introduces Industry’s First In-Hadoop Document Database will allow developers to quickly deliver scalable
applications that also leverage continuous analytics on real-time data. https://www.mapr.com/company/press-
releases/mapr-introduces-industry%E2%80%99s-first-hadoop-document-database
 Big data cybersecurity: startup Cybereason detects in real-time both signature and non-signature-based attacks and
accelerates incident investigation and response, connecting together individual pieces of evidence to form a
complete picture of a malicious operation. http://siliconangle.com/blog/2015/10/13/big-data-cybersecurity-startup-
cybereason-raises-59m-series-c-in-round-led-by-softbank/
 Hadoop demand falls as other big data tech rises - http://www.infoworld.com/article/2922720/big-data/hadoop-
demand-falls-as-other-big-data-tech-rises.html
SPARK
 The future of big data is very, very fast - With In-memory solutions such as Spark and NoSQL databases,
systems will optimize themselves so quickly, human intervention may become superfluous
http://www.infoworld.com/article/2991999/big-data/the-future-of-big-data-is-very-very-fast.html
 Cloudera Sees Spark Emerging As Hadoop Engine - Spark as the data processing successor to MapReduce
inside Hadoop. Apache storm is another one. http://www.informationweek.com/big-data/software-
platforms/cloudera-sees-spark-emerging-as-hadoop-engine/d/d-id/1322100
 IBM called Spark "the most significant open source project of the next decade.“
http://www.businessinsider.in/Thanks-to-IBM-a-hot-startup-called-Databricks-is-poised-to-dominate-a-vital-
new-market/articleshow/47683644.cms
 8 Reasons Apache Spark is So Hot - http://insidebigdata.com/2015/03/06/8-reasons-apache-spark-hot/
 Survey Confirms Apache Spark Traction in Big Data Analytics -
https://adtmag.com/articles/2015/01/27/spark-adoption-survey.aspx
Analytics
 AWS adds Analytics - http://www.wsj.com/articles/amazon-web-services-to-add-analytics-1443989402
 In-memory Analytics - http://www.computerworld.com/article/2690856/big-data/8-big-trends-in-big-data-
analytics.html
 Trends for 2015 - http://www.cio.com/article/2881201/data-analytics/8-analytics-trends-to-watch-in-2015.html
( Quadruple Down on Data Security, The Analytics of Things Comes into Its Own, Data Monetization Is Here with
Risks and Rewards, We Can Build the Bionic Brain Stronger-Faster-Better, The Rise of Open Source…Again, Striking
Gold with Tax Analytics, STEM Becomes STEAM, The Quest for Accuracy)
 SAP's Orca leaps from the depths early, Needled by Amazon
http://www.theregister.co.uk/2015/10/14/sap_hand_forced_by_space_needle/
 Archive for the ‘Emerging BI Trends’ Category – Spark & Cassandra together?
https://blogs.perficient.com/enterpriseinformation/category/big-data/emerging-bi-trends/
 ​Emerging Trends in Big Data Analysis for 2015 – deep learning & mature NoSQL -
http://www.dezyre.com/article/-emerging-trends-in-big-data-analysis-for-2015/96
4. Machine Learning
Machine learning is a subfield of computer science that evolved from the study of pattern recognition and
computational learning theory in artificial intelligence. Machine learning explores the study and construction of
algorithms that can learn from and make predictions on data.
Open Source Machine Learning
 More importantly, machine learning (ML) is quickly becoming a critical skill for developers to enhance their
applications and their careers, better understand data, and to help users be more effective.
 Getting started with open source machine learning: projects available are – Weka, Mahout, MLLib, Scikit-learn,
DeepLearning4J http://opensource.com/business/15/9/getting-started-open-source-machine-learning
 Flipkart wants to build human brain like capabilities using big data to understand customer needs. Flipkart
also wants to use computer vision, or the ability of computers to learn how to recognise images as well as
human beings. http://articles.economictimes.indiatimes.com/2015-08-31/news/66070916_1_billion-day-
flipkart-big-data
 Airbnb announces Aerosolve, an open-source machine learning software package - This library is meant to be
used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters)
or pricing (number of rooms, location, price). http://venturebeat.com/2015/06/04/airbnb-introduces-
aerosolve-a-open-source-machine-learning-software-package/
Artificial Intelligence (AI)
 Android founder says next major wave of computing will be AI – Robotics and automation are going to permeate our
lives + Intelligence from the cloud will be the new thing + Augmented reality glasses
http://www.engadget.com/2015/10/08/android-founder-says-next-major-wave-of-computing-will-be-ai/
 Google Turning Its Lucrative Web Search Over to AI Machines - http://www.bloomberg.com/news/articles/2015-10-
26/google-turning-its-lucrative-web-search-over-to-ai-machines
 Inside Windows Cortana: The Most Human AI Ever Built - Cortana lets you talk to your devices as if they were
people. And, like those two voice-driven interfaces, she can understand what you’re saying and respond in a way that
feels almost human - handling your communications, managing your calendar, and attending to your needs.
https://www.yahoo.com/tech/inside-windows-cortana-the-most-human-ai-ever-124740656729.html
 Apple, Microsoft, and Google vie for control of artificial intelligence market- Intelligent machines will form the
backbone of what we call the invisible revolution - http://fortune.com/2015/09/14/technology-artificial-intelligence/
 Mycroft – A First Ever Open Source Artificial Intelligence Platform - http://www.indianweb2.com/2015/08/17/meet-
mycroft-a-first-ever-open-source-artificial-intelligence-platform-883/
5. API Management
API management is the process of publishing, promoting and overseeing application programming interfaces (APIs)
in a secure, scalable environment. It also includes the creation of end user support resources that define and document the API.
API Economy
 2015 Predictions: The API Planet Driving the API Economy – IoT & API economy goes together -
https://blog.akana.com/api-economy-2015-predictions/
 The API Management Solutions Market Will Quadruple By 2020 As Business Goes Digital - API management serves as the
entry point to then sell PaaS, MBaaS, predictive analytics, or, in the case of the SOA-native vendors - Oracle, IBM, HP all
are playing in this domain - http://blogs.forrester.com/michael_yamnitsky/15-06-07-
the_api_management_solutions_market_will_quadruple_by_2020_as_business_goes_digital
 Dell Boomi Releases PaaS for Integration, MDM, and API Management - http://www.dbta.com/Editorial/News-
Flashes/Dell-Boomi-Releases-PaaS-for-Integration-MDM-and-API-Management-102944.aspx
 The API Briefing: Two API Trends to Watch in 2015 – Microservices and Containers -
http://www.digitalgov.gov/2015/02/11/the-api-briefing-two-api-trends-to-watch-in-2015-microservices-and-containers/
 TIBCO Software Pushes API Management into the Cloud http://www.itbusinessedge.com/blogs/it-unmasked/tibco-
software-pushes-api-management-into-the-cloud.html
 Three Key Issues for the API Economy Through 2016 – Monetization, IoT API, Webhooks
http://saugatucktechnology.com/research/latest-research/3178-three-key-issues-for-the-api-economy-through-2016.html
6. Security
Security software is any computer program designed to enhance information security.
The defense of computers against intrusion and unauthorized use of resources is called computer security.
Similarly, the defense of computer networks is called network security.
Security
 Cloud Security Trends 2015 – data at rest, open source threat, multi-factor authentication -
http://www.blackstratus.com/blog/cloud-security-trends-2015/
 10 Cloud Security Trends - http://www.crn.com/slide-shows/security/300077133/10-cloud-security-trends-to-watch.htm
 2015’s top cloud security trends – business breach, data sovereignty laws, authentication -
http://blog.trendmicro.com/2015s-top-cloud-security-trends/
 Gartner Cloud based security market worldwide - https://www.alertlogic.com/resources/industry-reports/gartner-report-
%E2%80%93-cloud-based-security-services-market/
 Cloud Security Alliance New Survey Finds Companies are in the Dark on Shadow IT Usage - Cloud Adoption, Practices and
Priorities Survey Report, indicated when it surveyed executives and IT managers. Nearly 72 percent admitted that they did
not know the number of shadow IT apps within their organization - https://cloudsecurityalliance.org/media/news/cloud-
security-alliance-new-survey-finds-companies-are-in-the-dark-on-shadow-it-usage/
 Cloud Security Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2014 – 2022 -
http://www.prnewswire.com/news-releases/cloud-security-market---global-industry-analysis-size-share-growth-trends-
and-forecast-2014---2022-300093794.html
7. Compliance
Compliance is either a state of being in accordance with established guidelines or specifications, or the process of becoming so.
Software, for example, may be developed in compliance with specifications created by a standards body, and then deployed by
user organizations in compliance with a vendor's licensing agreement. The definition of compliance can also encompass efforts
to ensure that organizations are abiding by both industry regulations and government legislation.
Compliance
 Cloud security and compliance trends in 2015, according to Vormetric's C.J. Radford – Data at rest is imperative -
http://www.techrepublic.com/article/cloud-security-and-compliance-trends-in-2015-according-to-vormetrics-c-j-
radford/
 Cloud Compliance trends assumptions -
https://www.iansresearch.com/ResearchDetail.aspx?id=6113&title=Cloud_Compliance_Trends:_Assumptions_Matter
 Regulatory Compliance: A Better Way - http://www.trendmicro.com/cloud-content/us/pdfs/business/white-
papers/wp_regulatory-compliance-a-better-way.pdf
 ECM Trends: Cloud, Compliance and Records Management -
http://www.bitpipe.com/detail/RES/1437745825_414.html
 Cloud technology sits in the center of major IT trends - https://www.datapipe.com/blog/2015/05/07/cloud-
technology-sits-in-the-center-of-major-it-trends/
 New and emerging technology trends carry heavy compliance burden -
http://searchcompliance.techtarget.com/tip/New-and-emerging-technology-trends-carry-heavy-compliance-burden
8. DevOps
DevOps is a software development method that emphasizes communication, collaboration (information sharing and web service
usage), integration, automation, and measurement of cooperation between software developers and other IT professionals. The
method acknowledges the interdependence of software development, quality assurance (QA), and IT operations, and aims to
help an organization rapidly produce software products and services and to improve operations performance.
DevOps
 Gartner Says By 2016, DevOps Will Evolve From a Niche to a Mainstream Strategy Employed by 25 Percent of Global 2000
Organizations – The overall DevOps message is compelling, because many IT organisations want to achieve the scale-out
and economies of scale achieved by world-class cloud providers - http://www.gartner.com/newsroom/id/2999017
 2016 is Year of DevOps - http://www.zdnet.com/article/why-2016-is-going-to-be-the-year-of-devops/
 IS DEVOPS THE FUTURE OF IT? BREAK DOWN IT SILOS IN TO COLLOBORATIVE WAY!
HTTPS://WWW.VIRTUALIZATIONPRACTICE.COM/DEVOPS-FUTURE-31814/
 10 Things You Need to Know About the Hot DevOps Trends – relevant IT, CIO’s friend, constant adoption, legacy
substitution, etc. http://www.eweek.com/it-management/slideshows/10-things-you-need-to-know-about-the-hot-
devops-trend.html
 DevOps: IT's Only Chance Of Keeping Up – its tool, methodology & Philosophy together.
http://www.informationweek.com/strategic-cio/executive-insights-and-innovation/devops-its-only-chance-of-keeping-
up/d/d-id/1127845
 Current & Future trends of DevOps by IBM – many tools , better pocesses, Engineered life cycle, automated deployment,
best fir for agile - HTTPS://JAZZ.NET/LIBRARY/CONTENT/PRESENTATIONS/DEVOPS/BETA/CURRENT-FUTURE-TRENDS.PDF
9. Mobile PaaS
Mobile PaaS (mPaaS) provides development capabilities for mobile app designers and developers. Mobile Backend as a service
(MBaaS), also known as "backend as a service" (BaaS), is a model for providing web and mobile app developers with a way
to link their applications to backend cloud storage and APIs exposed by back end applications while also providing features such
as user management, push notifications, and integration with social networking services.
Mobile PaaS – MBaaS (Mobile Backend-as-a-Service)
 MBaaS - Build & Deploy Mobile apps from anywhere!
 MBaaS shoot-out: 5 clouds for building mobile apps -AnyPresence -
http://www.infoworld.com/article/2842791/application-development/mbaas-shoot-out-5-cloud-platforms-for-building-
mobile-apps.html
 4 Key Trends That Will Take Enterprise Mobility By Storm In 2015 – Enterprose grade MBaaS, location based technology,
IoT, Wearables & MicroApps(use case driven) - http://www.mobileforcesoftware.com/4-key-trends-will-take-enterprise-
mobility-storm-2015/
 StackMob CEO predicts Backend as a Service future, app dev trends – API first world -
http://searchsoa.techtarget.com/feature/QA-StackMob-CEO-predicts-Backend-as-a-Service-future-app-dev-trends
 MBaaS and its role in the future of IoT infrastructure –API Builder can run on microcomputers and to your IoT-
http://www.techrepublic.com/article/mbaas-and-its-role-in-the-future-of-iot-infrastructure/
 Mobile BaaS (MBaaS) Market Strategies, Trends And Application To 2024 -
https://radiantinsightsinc.wordpress.com/2015/10/12/mobile-baas-mbaas-market-strategies-trends-and-application-to-
2024/
10. Other Areas
Additional areas which are emerging along with cloud, big data, IoT, etc. and may be integrated with
cloud platforms in the future are mentioned in this section.
 Smart Home:
 Will Google Brillo shake the smart home to its very foundations? - http://www.in.techradar.com/news/world-of-
tech/Will-Google-Brillo-shake-the-smart-home-to-its-very-foundations/articleshow/48493026.cms
 IoT:
 Amazon IoT. - http://venturebeat.com/2015/10/07/aws-reinvent-2015/
 Virtual Reality: (& augmented reality)
 Virtual reality is the next open web frontier - http://opensource.com/life/15/8/virtual-reality-the-next-open-web-
frontier
 Intelligent Robots:
 In the future, intelligent robots will make humans their PETS, claims Apple co-founder - http://www.express.co.uk/life-
style/science-technology/587168/AI-Robots-Intelligent-Apple-Steve-Wozniak
 Drones:
 Amazon unveils futuristic plan: Delivery by drone - http://www.cbsnews.com/news/amazon-unveils-futuristic-plan-
delivery-by-drone/
 Alphabet by Google:
 Driverless cars, Google Glass, Calico – increasing longevity, drones, robotics and more…
 http://money.cnn.com/2015/08/10/technology/alphabet-google/
IsittheFuture?
Bossies 2015: The Best of Open Source Software Awards
http://www.infoworld.com/article/2984437/open-source-tools/bossies-2015-the-best-of-open-source-software-awards.html
 The best open source applications – xTuple, Odoo, iDempiere, SuiteCRM, CiviCRM, Mautic, OrangeHRM, LibreOffice, BonitaBPM,
CamundaBPM, TalendOpenStudio, WareWolfESB, KNIME, Teiid
 The best open source application development tools – Docker, Node.js, io.js, AngularJS, React, Atom, Brackets, TypeScript, Swagger,
Polymer, Ionic, Cordova, FamousEngine, MongoDB, Couchbase, Cassandra, OrientDB, RethinkDB, Rust, OpenCV, LLVM
 The best open source big data tools – Spark, Storm, H2O, Apex, Druid, Flink, ElasticSearch, SlamData, Drill, Hbase, Hive, Kylin, CDAP,
Ranger, Mesos, NiFI, Kafka, OpenTSDB, Jupyter, Zeppelin
 The best open source data center and cloud software – Docker Machine/Compose/Swarm, Seneca, CoreOS/Rkt, RancherOS,
Kubernetes, Mesos, SmartOS/SmartDataCenter, Sensu, Prometheus, Glu sterFS, Jenkins, NodeJS/IOJS,
ElasticSearch/LogSearch/Kibana, Ansible,.NetCore/ASP.NetvNext
 The best open source desktop and mobile software – LibreOffice, FireFox, ThuderBird, NotePad++, VLC, 7-Zip, HandBrake, KeyPass,
VirtualBox, Inkscape, KeePassDroid, Prey, Orbot, Tails
 The best open source networking and security software – Icinga2, ZenossCore, OpenNMS, SecurityOnion, KaliLinux, OpenVAS,
OWASP, BeEF, Unhide
EVENT: http://www.cloudworkshop.ieeebangalore.org/
SPEAKERS: http://www.cloudworkshop.ieeebangalore.org/#portfolio
SCHEDULE: http://www.cloudworkshop.ieeebangalore.org/#about

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PaaS Emerging Technologies - October 2015

  • 1. www.huawei.com Krishna M Kumar Chair Cloud Platforms Group CCICI & Lead Architect cloud @Huawei India @IEEE Conference – 31st October 2015
  • 2. Contents (more focus to open source) 1) Containers 2) Data Bases 3) Big Data Analytics 4) Machine Learning 5) API Management 6) Security 7) Compliance 8) DevOps 9) Mobile PaaS 10)Other Areas This is not a ‘PaaS Introduction’ presentation. This presentation tries to give more ‘links and pointers’ towards the PaaS future – or emerging technologies. Latest news segments are included to it for good reading.
  • 3. Introduction to Platform-as-a-Service (PaaS) Platform as a service (PaaS) is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage Web applications without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. PaaS can be delivered: as a public cloud service from a provider, or in private data centers as a service managed by internal IT or hybrid model. Cloud applications and data platforms are part of the PaaS offerings.
  • 4. Gartner Magic Quadrant – PaaS vs. IaaS
  • 5. Gartner Hype Curve – Emerging Technologies http://www.gartner.com/newsroom/id/3114217 GitHub – Top Coding Languages http://www.wired.com/2015/08/github-data-shows-changing-software-landscape/
  • 7. 1. Containers Operating-system-level virtualization is a server-virtualization method where the kernel of an operating system allows for multiple isolated user-space instances, instead of just one. Such instances called containers, may look and feel like a real server from the point of view of its owners and users.
  • 8. Containers PaaS or IaaS, everything's about CONTAINERS now http://www.theregister.co.uk/2015/06/25/red_hat_goes_container_crazy/ Docker is a key enabler in PaaS and very popular. Even the virtualization King VMWare Preps its virtualization stack for Docker http://www.computerworld.com/article/2912136/virtualization/ vmware-preps-its-virtualization-stack-for-docker.html  Docker death blow to PaaS? The fat lady isn’t singing just yet folks Could they work together? Yeah, why not http://www.theregister.co.uk/2015/06/01/did_docker_kill_paas/  Part of Gartner’s Hype Curve - Micro-datacentre: Whereas an average container-based datacenter hosts dozens of servers and thousands of virtual machines (VMs) within a 40ft shipping container, a micro-datacentre includes fewer than 10 servers and less than 100 VMs in a single 19in box. Just like containerized datacenters, MDCs come with in-built security systems, cooling systems and flood and fire protection -http://www.computerweekly.com/feature/Micro-datacentre-What-IT-problems-it-solves-and-what- workload-systems-is-it-best-suited-for  Part of Gartner’s Hype Curve - Hybrid Cloud Computing - As organizations attempt to strike a balance between having all computational services on premises and offloading storage and computational time to the cloud, a logical middle ground has emerged: the hybrid cloud - http://www.zdnet.com/article/hybrid-cloud-what-it-is-why-it-matters/
  • 9. Container Wars  Container Wars - Review: Rocket vs. Odin vs. Docker http://www.networkworld.com/article/2952884/cloud- storage/container-wars-rocket-vs-odin-vs-docker.html  Open Container Initiative (OCI) - for the express purpose of creating open industry standards around container formats and runtime - https://www.opencontainers.org/  Cloud Native Computing Foundation (CNCF) - Drive Alignment Among Container Technologies - https://cncf.io/ Some Container Technologies Coming UP Rancher – by Rancher Labs https://github.com/rancherio/rancher Flocker – by ClusterHQ https://github.com/ClusterHQ/flocker Clocker – by Cloudsoft https://github.com/brooklyncentral/clocker Tutum - https://www.tutum.co/ Flynn - https://github.com/flynn/flynn Datawise - http://www.datawise.io/ BlueData - http://www.bluedata.com/ Kismatic - https://github.com/kismatic PortWors - http://portworx.com/index.html Shippable – https://app.shippable.com/ Sysdig - http://www.sysdig.org/ Twistlock - https://www.twistlock.io/ Weaveworks - http://weave.works/
  • 10. Containers – Major Features  Introducing the Fan – simpler container networking https://insights.ubuntu.com/2015/06/24/introducing-the-fan- simpler-container-networking/ FlockPort with Fan https://www.flockport.com/simplify- container-networking-with-ubuntu-fan-project/  Docker Adds Container Networking, Deployment Options http://www.informationweek.com/cloud/docker-adds- container-networking-deployment-options/d/d- id/1320996  New Features – Clustering, scale-up, Orchestration. http://searchsoa.techtarget.com/feature/Dockers-technology- roadmap-boasts-new-technology  Hands on with Windows Server 2016 Containers http://www.theregister.co.uk/2015/08/31/hands_on_with_wi ndows_server_2016_containers/  Container Engine & Container Registry from Google http://googlecloudplatform.blogspot.in/2015/06/Container- Engine-Container-Registry-Updates-New-Features- Pricing.html  Container Security https://coreos.com/blog/container- security-selinux-coreos/  Amazon EC2 Container Service becomes available, featuring new scheduler http://venturebeat.com/2015/04/09/amazon-ec2- container-service-becomes-available-featuring-new- service-scheduler/  Relic Launches New Features - micro services https://blog.newrelic.com/2015/05/06/modern- architecture-trends/
  • 11. Containers - Orchestration Few recent developments: • Apple Unifies Cloud Services Platform Amid Open- Source Push https://www.theinformation.com/apple-unifies- cloud-services-platform-amid-open-source-push Developing a new technology platform that can power all of its Web services - the new platform is based on the one Apple developed to run Siri which uses open-source infrastructure software called Mesos. • Mesosphere and EMC Team Up to Expand DCOS Storage http://www.marketwired.com/press- release/mesosphere-and-emc-team-up-to-expand- dcos-storage-nyse-emc-2062182.htm • Azure with Docker & Mesosphere http://www.infoworld.com/article/2987232/cloud- computing/docker-and-mesosphere-power- microsofts-new-azure-service.html • Cores OS Tectonic for Kubernetes - CoreOS Launches Preview Of Tectonic, Its Commercial Kubernetes Platform http://techcrunch.com/2015/07/21/coreos- launches-preview-of-tectonic-its-commercial- kubernetes-platform/ Swarm – by Docker Native clustering by existing Docker API to make a cluster of machines look like a Single API. https://docs.docker.com/swarm/ Kubernetes – by Google Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops. http://kubernetes.io/ Mesos – by Apache & Mesosphere Popular cluster Management Solution with generically scheduling algorithm and co-exist with other schedulers. http://mesos.apache.org/ Diego – by Cloud Foundry Runtime powering for tasks and long running process automatic distribution. https://github.com/cloudfoundry- incubator/diego-design-notes Stratoscale – by Stratoscale Next generation Data center os for hyper converged infrastructure on the same platform. http://www.stratoscale.com/ Magnum – by Openstack Container mgmt service https://docs.docker. com/swarm/ Fleet – by CoreOS Container management and deployment https://github.com/c oreos/fleet
  • 12. 2. Data Bases A database is an organized collection of data. It is the collection of schemes, tables, queries, reports, views and other objects. The data is typically organized to model aspects of reality in a way that supports processes requiring information, such as modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.
  • 13. SQL (Relational Database-as-a-Service - RDS)  DBaaS vs. PaaS - https://blogs.oracle.com/realworldcloudplatform/entry/database_as_a_service_and  Database Cloud and the Transformation of PaaS - http://data-informed.com/database-cloud-and-the-transformation- of-paas/  The three leading relational vendors -- Oracle, IBM and Microsoft -- all offer in-memory capabilities in the latest versions of their DBMS’es.  Microsoft in-Memory OLTP (In-Memory Optimization) - https://msdn.microsoft.com/en-in/library/dn133186.aspx  Distributed in-Memory Database - http://www.memsql.com/  Which in-memory DBMS best fits your company's needs? - http://searchdatamanagement.techtarget.com/feature/Which-in-memory-DBMS-best-fits-your-companys-needs  Pivotal is taking on Oracle’s traditional database business with its latest effort to advance open source. The company is contributing both HAWQ advanced SQL on Hortonworks’ Hadoop analytics and MADlib machine learning technologies to The Apache Software Foundation (ASF). http://www.cio-today.com/article/index.php?story_id=1310047VB758
  • 14. NoSQL (Database-as-a-Service)  Ten standout NoSQL to try - http://www.infoworld.com/article/2606556/nosql/10-standout-nosql-databases-to- try.html - There are several NoSQL players in cloud – Redis, Cassandra, Riak, MongoDB, CouchDB, OracleNoSQL, Neo4J, DynamoDB, RethinkDB, etc. Note:  Apple's secret NoSQL sauce includes a hefty dose of Cassandra http://www.techrepublic.com/article/apples-secret-nosql-sauce-includes-a-hefty-dose-of-cassandra/ A year ago, Apple said that it was running over 75,000 Cassandra nodes, storing more than 10 petabytes of data. At least one cluster was over 1,000 nodes, and Apple regularly gets millions of operations per second (reads/writes) with Cassandra. In the real world, is that Cassandra is good for applications that must always be on (e.g., for online transactions) or high-scale applications (like British Gas using Cassandra to store IoT sensor data and make it available immediately for analysis).  11 common web uses cases solved in Redis – caching, queues, KV Store - http://highscalability.com/blog/2011/7/6/11-common-web-use-cases-solved-in-redis.html  Use case MongoDB – Catalog, Log Data, content management - https://docs.mongodb.org/ecosystem/use-cases/  Why Graph Database for IoT - open a new world of network and device monitoring and management, allowing more sophisticated types of impact and dependency analysis - http://neo4j.com/blog/graph-databases-perfect- internet-things/
  • 15. In-memory PaaS – (e.g: SAP HANA)  SAP HANA is an in-memory computing platform that has completely transformed the relational database industry. It combines database, application processing, and integration services on a single platform. The same architecture also provides libraries for predictive, planning, text processing, spatial, and business analytics. It is more than a Database. http://go.sap.com/india/solution/in-memory-platform.html
  • 16. 3. Big Data Analytics Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set.
  • 17. Hadoop  Top trends in Big Data – BigData on Cloud, Sophisticated ETL, SQL on Hadoop – like Apache Hive, NoSQL, Datafication, multipolar analytics, fluid analytics, Data Lakes – incremental organic model of building large scale data set. http://www.zdnet.com/article/2015-interesting-big-data-and-analytics-trends/  Leading Hadoop Players: Cloudera, HortonWorks & MapR  MapR Introduces Industry’s First In-Hadoop Document Database will allow developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data. https://www.mapr.com/company/press- releases/mapr-introduces-industry%E2%80%99s-first-hadoop-document-database  Big data cybersecurity: startup Cybereason detects in real-time both signature and non-signature-based attacks and accelerates incident investigation and response, connecting together individual pieces of evidence to form a complete picture of a malicious operation. http://siliconangle.com/blog/2015/10/13/big-data-cybersecurity-startup- cybereason-raises-59m-series-c-in-round-led-by-softbank/  Hadoop demand falls as other big data tech rises - http://www.infoworld.com/article/2922720/big-data/hadoop- demand-falls-as-other-big-data-tech-rises.html
  • 18. SPARK  The future of big data is very, very fast - With In-memory solutions such as Spark and NoSQL databases, systems will optimize themselves so quickly, human intervention may become superfluous http://www.infoworld.com/article/2991999/big-data/the-future-of-big-data-is-very-very-fast.html  Cloudera Sees Spark Emerging As Hadoop Engine - Spark as the data processing successor to MapReduce inside Hadoop. Apache storm is another one. http://www.informationweek.com/big-data/software- platforms/cloudera-sees-spark-emerging-as-hadoop-engine/d/d-id/1322100  IBM called Spark "the most significant open source project of the next decade.“ http://www.businessinsider.in/Thanks-to-IBM-a-hot-startup-called-Databricks-is-poised-to-dominate-a-vital- new-market/articleshow/47683644.cms  8 Reasons Apache Spark is So Hot - http://insidebigdata.com/2015/03/06/8-reasons-apache-spark-hot/  Survey Confirms Apache Spark Traction in Big Data Analytics - https://adtmag.com/articles/2015/01/27/spark-adoption-survey.aspx
  • 19. Analytics  AWS adds Analytics - http://www.wsj.com/articles/amazon-web-services-to-add-analytics-1443989402  In-memory Analytics - http://www.computerworld.com/article/2690856/big-data/8-big-trends-in-big-data- analytics.html  Trends for 2015 - http://www.cio.com/article/2881201/data-analytics/8-analytics-trends-to-watch-in-2015.html ( Quadruple Down on Data Security, The Analytics of Things Comes into Its Own, Data Monetization Is Here with Risks and Rewards, We Can Build the Bionic Brain Stronger-Faster-Better, The Rise of Open Source…Again, Striking Gold with Tax Analytics, STEM Becomes STEAM, The Quest for Accuracy)  SAP's Orca leaps from the depths early, Needled by Amazon http://www.theregister.co.uk/2015/10/14/sap_hand_forced_by_space_needle/  Archive for the ‘Emerging BI Trends’ Category – Spark & Cassandra together? https://blogs.perficient.com/enterpriseinformation/category/big-data/emerging-bi-trends/  ​Emerging Trends in Big Data Analysis for 2015 – deep learning & mature NoSQL - http://www.dezyre.com/article/-emerging-trends-in-big-data-analysis-for-2015/96
  • 20. 4. Machine Learning Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.
  • 21. Open Source Machine Learning  More importantly, machine learning (ML) is quickly becoming a critical skill for developers to enhance their applications and their careers, better understand data, and to help users be more effective.  Getting started with open source machine learning: projects available are – Weka, Mahout, MLLib, Scikit-learn, DeepLearning4J http://opensource.com/business/15/9/getting-started-open-source-machine-learning  Flipkart wants to build human brain like capabilities using big data to understand customer needs. Flipkart also wants to use computer vision, or the ability of computers to learn how to recognise images as well as human beings. http://articles.economictimes.indiatimes.com/2015-08-31/news/66070916_1_billion-day- flipkart-big-data  Airbnb announces Aerosolve, an open-source machine learning software package - This library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). http://venturebeat.com/2015/06/04/airbnb-introduces- aerosolve-a-open-source-machine-learning-software-package/
  • 22. Artificial Intelligence (AI)  Android founder says next major wave of computing will be AI – Robotics and automation are going to permeate our lives + Intelligence from the cloud will be the new thing + Augmented reality glasses http://www.engadget.com/2015/10/08/android-founder-says-next-major-wave-of-computing-will-be-ai/  Google Turning Its Lucrative Web Search Over to AI Machines - http://www.bloomberg.com/news/articles/2015-10- 26/google-turning-its-lucrative-web-search-over-to-ai-machines  Inside Windows Cortana: The Most Human AI Ever Built - Cortana lets you talk to your devices as if they were people. And, like those two voice-driven interfaces, she can understand what you’re saying and respond in a way that feels almost human - handling your communications, managing your calendar, and attending to your needs. https://www.yahoo.com/tech/inside-windows-cortana-the-most-human-ai-ever-124740656729.html  Apple, Microsoft, and Google vie for control of artificial intelligence market- Intelligent machines will form the backbone of what we call the invisible revolution - http://fortune.com/2015/09/14/technology-artificial-intelligence/  Mycroft – A First Ever Open Source Artificial Intelligence Platform - http://www.indianweb2.com/2015/08/17/meet- mycroft-a-first-ever-open-source-artificial-intelligence-platform-883/
  • 23. 5. API Management API management is the process of publishing, promoting and overseeing application programming interfaces (APIs) in a secure, scalable environment. It also includes the creation of end user support resources that define and document the API.
  • 24. API Economy  2015 Predictions: The API Planet Driving the API Economy – IoT & API economy goes together - https://blog.akana.com/api-economy-2015-predictions/  The API Management Solutions Market Will Quadruple By 2020 As Business Goes Digital - API management serves as the entry point to then sell PaaS, MBaaS, predictive analytics, or, in the case of the SOA-native vendors - Oracle, IBM, HP all are playing in this domain - http://blogs.forrester.com/michael_yamnitsky/15-06-07- the_api_management_solutions_market_will_quadruple_by_2020_as_business_goes_digital  Dell Boomi Releases PaaS for Integration, MDM, and API Management - http://www.dbta.com/Editorial/News- Flashes/Dell-Boomi-Releases-PaaS-for-Integration-MDM-and-API-Management-102944.aspx  The API Briefing: Two API Trends to Watch in 2015 – Microservices and Containers - http://www.digitalgov.gov/2015/02/11/the-api-briefing-two-api-trends-to-watch-in-2015-microservices-and-containers/  TIBCO Software Pushes API Management into the Cloud http://www.itbusinessedge.com/blogs/it-unmasked/tibco- software-pushes-api-management-into-the-cloud.html  Three Key Issues for the API Economy Through 2016 – Monetization, IoT API, Webhooks http://saugatucktechnology.com/research/latest-research/3178-three-key-issues-for-the-api-economy-through-2016.html
  • 25. 6. Security Security software is any computer program designed to enhance information security. The defense of computers against intrusion and unauthorized use of resources is called computer security. Similarly, the defense of computer networks is called network security.
  • 26. Security  Cloud Security Trends 2015 – data at rest, open source threat, multi-factor authentication - http://www.blackstratus.com/blog/cloud-security-trends-2015/  10 Cloud Security Trends - http://www.crn.com/slide-shows/security/300077133/10-cloud-security-trends-to-watch.htm  2015’s top cloud security trends – business breach, data sovereignty laws, authentication - http://blog.trendmicro.com/2015s-top-cloud-security-trends/  Gartner Cloud based security market worldwide - https://www.alertlogic.com/resources/industry-reports/gartner-report- %E2%80%93-cloud-based-security-services-market/  Cloud Security Alliance New Survey Finds Companies are in the Dark on Shadow IT Usage - Cloud Adoption, Practices and Priorities Survey Report, indicated when it surveyed executives and IT managers. Nearly 72 percent admitted that they did not know the number of shadow IT apps within their organization - https://cloudsecurityalliance.org/media/news/cloud- security-alliance-new-survey-finds-companies-are-in-the-dark-on-shadow-it-usage/  Cloud Security Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2014 – 2022 - http://www.prnewswire.com/news-releases/cloud-security-market---global-industry-analysis-size-share-growth-trends- and-forecast-2014---2022-300093794.html
  • 27. 7. Compliance Compliance is either a state of being in accordance with established guidelines or specifications, or the process of becoming so. Software, for example, may be developed in compliance with specifications created by a standards body, and then deployed by user organizations in compliance with a vendor's licensing agreement. The definition of compliance can also encompass efforts to ensure that organizations are abiding by both industry regulations and government legislation.
  • 28. Compliance  Cloud security and compliance trends in 2015, according to Vormetric's C.J. Radford – Data at rest is imperative - http://www.techrepublic.com/article/cloud-security-and-compliance-trends-in-2015-according-to-vormetrics-c-j- radford/  Cloud Compliance trends assumptions - https://www.iansresearch.com/ResearchDetail.aspx?id=6113&title=Cloud_Compliance_Trends:_Assumptions_Matter  Regulatory Compliance: A Better Way - http://www.trendmicro.com/cloud-content/us/pdfs/business/white- papers/wp_regulatory-compliance-a-better-way.pdf  ECM Trends: Cloud, Compliance and Records Management - http://www.bitpipe.com/detail/RES/1437745825_414.html  Cloud technology sits in the center of major IT trends - https://www.datapipe.com/blog/2015/05/07/cloud- technology-sits-in-the-center-of-major-it-trends/  New and emerging technology trends carry heavy compliance burden - http://searchcompliance.techtarget.com/tip/New-and-emerging-technology-trends-carry-heavy-compliance-burden
  • 29. 8. DevOps DevOps is a software development method that emphasizes communication, collaboration (information sharing and web service usage), integration, automation, and measurement of cooperation between software developers and other IT professionals. The method acknowledges the interdependence of software development, quality assurance (QA), and IT operations, and aims to help an organization rapidly produce software products and services and to improve operations performance.
  • 30. DevOps  Gartner Says By 2016, DevOps Will Evolve From a Niche to a Mainstream Strategy Employed by 25 Percent of Global 2000 Organizations – The overall DevOps message is compelling, because many IT organisations want to achieve the scale-out and economies of scale achieved by world-class cloud providers - http://www.gartner.com/newsroom/id/2999017  2016 is Year of DevOps - http://www.zdnet.com/article/why-2016-is-going-to-be-the-year-of-devops/  IS DEVOPS THE FUTURE OF IT? BREAK DOWN IT SILOS IN TO COLLOBORATIVE WAY! HTTPS://WWW.VIRTUALIZATIONPRACTICE.COM/DEVOPS-FUTURE-31814/  10 Things You Need to Know About the Hot DevOps Trends – relevant IT, CIO’s friend, constant adoption, legacy substitution, etc. http://www.eweek.com/it-management/slideshows/10-things-you-need-to-know-about-the-hot- devops-trend.html  DevOps: IT's Only Chance Of Keeping Up – its tool, methodology & Philosophy together. http://www.informationweek.com/strategic-cio/executive-insights-and-innovation/devops-its-only-chance-of-keeping- up/d/d-id/1127845  Current & Future trends of DevOps by IBM – many tools , better pocesses, Engineered life cycle, automated deployment, best fir for agile - HTTPS://JAZZ.NET/LIBRARY/CONTENT/PRESENTATIONS/DEVOPS/BETA/CURRENT-FUTURE-TRENDS.PDF
  • 31. 9. Mobile PaaS Mobile PaaS (mPaaS) provides development capabilities for mobile app designers and developers. Mobile Backend as a service (MBaaS), also known as "backend as a service" (BaaS), is a model for providing web and mobile app developers with a way to link their applications to backend cloud storage and APIs exposed by back end applications while also providing features such as user management, push notifications, and integration with social networking services.
  • 32. Mobile PaaS – MBaaS (Mobile Backend-as-a-Service)  MBaaS - Build & Deploy Mobile apps from anywhere!  MBaaS shoot-out: 5 clouds for building mobile apps -AnyPresence - http://www.infoworld.com/article/2842791/application-development/mbaas-shoot-out-5-cloud-platforms-for-building- mobile-apps.html  4 Key Trends That Will Take Enterprise Mobility By Storm In 2015 – Enterprose grade MBaaS, location based technology, IoT, Wearables & MicroApps(use case driven) - http://www.mobileforcesoftware.com/4-key-trends-will-take-enterprise- mobility-storm-2015/  StackMob CEO predicts Backend as a Service future, app dev trends – API first world - http://searchsoa.techtarget.com/feature/QA-StackMob-CEO-predicts-Backend-as-a-Service-future-app-dev-trends  MBaaS and its role in the future of IoT infrastructure –API Builder can run on microcomputers and to your IoT- http://www.techrepublic.com/article/mbaas-and-its-role-in-the-future-of-iot-infrastructure/  Mobile BaaS (MBaaS) Market Strategies, Trends And Application To 2024 - https://radiantinsightsinc.wordpress.com/2015/10/12/mobile-baas-mbaas-market-strategies-trends-and-application-to- 2024/
  • 33. 10. Other Areas Additional areas which are emerging along with cloud, big data, IoT, etc. and may be integrated with cloud platforms in the future are mentioned in this section.
  • 34.  Smart Home:  Will Google Brillo shake the smart home to its very foundations? - http://www.in.techradar.com/news/world-of- tech/Will-Google-Brillo-shake-the-smart-home-to-its-very-foundations/articleshow/48493026.cms  IoT:  Amazon IoT. - http://venturebeat.com/2015/10/07/aws-reinvent-2015/  Virtual Reality: (& augmented reality)  Virtual reality is the next open web frontier - http://opensource.com/life/15/8/virtual-reality-the-next-open-web- frontier  Intelligent Robots:  In the future, intelligent robots will make humans their PETS, claims Apple co-founder - http://www.express.co.uk/life- style/science-technology/587168/AI-Robots-Intelligent-Apple-Steve-Wozniak  Drones:  Amazon unveils futuristic plan: Delivery by drone - http://www.cbsnews.com/news/amazon-unveils-futuristic-plan- delivery-by-drone/  Alphabet by Google:  Driverless cars, Google Glass, Calico – increasing longevity, drones, robotics and more…  http://money.cnn.com/2015/08/10/technology/alphabet-google/ IsittheFuture?
  • 35. Bossies 2015: The Best of Open Source Software Awards http://www.infoworld.com/article/2984437/open-source-tools/bossies-2015-the-best-of-open-source-software-awards.html  The best open source applications – xTuple, Odoo, iDempiere, SuiteCRM, CiviCRM, Mautic, OrangeHRM, LibreOffice, BonitaBPM, CamundaBPM, TalendOpenStudio, WareWolfESB, KNIME, Teiid  The best open source application development tools – Docker, Node.js, io.js, AngularJS, React, Atom, Brackets, TypeScript, Swagger, Polymer, Ionic, Cordova, FamousEngine, MongoDB, Couchbase, Cassandra, OrientDB, RethinkDB, Rust, OpenCV, LLVM  The best open source big data tools – Spark, Storm, H2O, Apex, Druid, Flink, ElasticSearch, SlamData, Drill, Hbase, Hive, Kylin, CDAP, Ranger, Mesos, NiFI, Kafka, OpenTSDB, Jupyter, Zeppelin  The best open source data center and cloud software – Docker Machine/Compose/Swarm, Seneca, CoreOS/Rkt, RancherOS, Kubernetes, Mesos, SmartOS/SmartDataCenter, Sensu, Prometheus, Glu sterFS, Jenkins, NodeJS/IOJS, ElasticSearch/LogSearch/Kibana, Ansible,.NetCore/ASP.NetvNext  The best open source desktop and mobile software – LibreOffice, FireFox, ThuderBird, NotePad++, VLC, 7-Zip, HandBrake, KeyPass, VirtualBox, Inkscape, KeePassDroid, Prey, Orbot, Tails  The best open source networking and security software – Icinga2, ZenossCore, OpenNMS, SecurityOnion, KaliLinux, OpenVAS, OWASP, BeEF, Unhide
  • 36.