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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_windows_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/coreos/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/

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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

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