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Reference Architecture #Microservices | @CloudExpo #Serverless #AI #DevOps
The goal of microservices is to improve software delivery speed and increase system safety as scale increases

The goal of Microservices is to improve software delivery speed and increase system safety as scale increases. Microservices being modular these are faster to change and enables an evolutionary architecture where systems can change, as the business needs change. Microservices can scale elastically and by being service oriented can enable APIs natively. Microservices also reduce implementation and release cycle time and enables continuous delivery. This paper provides a logical overview of the Microservices Reference Architecture that highlights various sub systems needed to support Microservices deployment and execution.

Introduction
Switch over to Microservices is an hour of need in web application development and delivery and is crucial for the success of Enterprises today.

Of late, enterprises are adopting technologies like analytics, mobility, social media, IoT and smart embedded devices to change customer relationships, internal processes and value propositions. Microservices acts like a bridge between these technologies and provides the building blocks for developing modern distributed enterprise systems to become one of the enablers in the digital transformation journey of the enterprise.

Adoption of Microservices provides the agility, reliability, maintainability, scalability and deploy ability to the enterprises as part of digital transformation process.

There exists many different architecture definition approaches for implementing Microservices across Industry. Many of them are unique and specific to the needs of individual development teams. Many enterprises, without understanding or highlighting the name, have been using an approach towards leveraging APIs that classified as Microservices. This demands a need for designing Reference Architecture to develop and deliver Microservices‑based applications that consumed across the Enterprises.

There exists, numerous articles and blogs on Microservices reference architecture, architecture principles and best practices. This paper summarizes the purpose of Microservices Reference Architecture, drivers for adopting Microservices, Microservices architecture principles and logical view of Microservices Reference Architecture.

Drivers for Microservice Reference Architecture
Microservices are smaller in scope, determined by a focus on domain boundaries and consistent domain modelling, and require less code. In addition, in Monolithic applications, the application components communicate in memory. In the case of Microservices based applications, the communication happens over the network. This leads to software development and deployment becomes more reliable and faster.

With Microservices, each service can scale independently to meet temporary traffic, complete batch processing and other business needs. Improved fault isolation restricts service issues, such as memory leaks or open database connections. The scalability of Microservices complements the flexibility of cloud services improves service and handle more customers simultaneously without interrupting service.

The following diagram represents few key drivers for Enterprises adopting Microservices.

Microservices Architecture Principles
Below are few key architectural principles for Microservices:

Single Responsibility Principle: Each microservice must be responsible for a specific feature or a business functionality or aggregation of cohesive functionality completely.

Granular: Microservice granularity is contained within the intersection of a single functional domain, a single data domain and its immediate dependencies, a self-sufficient packaging and a technology domain.

Domain Driven Design: Domain driven design is an architectural principle in-line with object-oriented approach. It considers the business domain, elements and behaviors and interactions between business domains.

Encapsulation: Each Microservice encapsulates the internal implementation details, so that the external system utilizes the services need not worry about the internals. Encapsulation reduces the complexity and enhances the flexibility of the system.

Loose Coupling: There must be zero coordination necessary for the deployment with other Microservices. The changes in one microsystem should have zero or minimum impact on other services in the eco-system.  

Separation of Concerns: Develop the microservices based on distinct features with zero overlap with other functions. The main objective is to reduce the interaction between services so that they are highly cohesive and loosely coupled. If we separate, the functionality across wrong boundaries will lead tight coupling and increased complexity between services.

Language Neutral: Microservices are composed together to form a complex application, and they do not need to be written using the same programming language. For example, Java might be the correct language for one application, and in others, it might be Python etc.

Hexagonal Architecture: Microservice exposes RESTful APIs for external communication, message broker interface for event notification and database adapters for persistence. This makes hexagonal architecture as a most suitable style for Microservice development.

Sizing of Microservices
It is important that, while designing a Microservice, there is a need to decide on the number and size of individual Microservices. There is no strict rule regarding the optimal size of the Microservice and it depends on the partitioning of the problem space if it is a new development application or splitting the existing monolithic application into individual Microservices.

Also, Microservices cannot be too large or too small. Large services are hard to work with, hard to deploy, and take longer to start and stop. On the other side, when Microservices are too small, the resource cost of deploying and operating such a service overshadows its utility.

Microservice granularity can also be determined based on business needs. Making services too granular, or requiring too many dependencies on other Microservices, can introduce latency.

Microservices allow teams to plan, develop, and deploy features of a system in the cloud without tight coordination. It is therefore, Microservice number and size be dictated by business and technical principles.

Microservices Reference Architecture
Microservices is an architecture style, in which software systems or applications are composed of one or more independent and self-contained services. It is not a product, framework, or platform. It is a strategy for building large distributed systems and are loosely coupled and deployed independently of one another.

The following guidelines to be adapted while designing the services of Microservices Reference Architecture.

  • Lightweight: To facilitate smaller memory footprints and faster start up times
  • Reactive: Applicable for services with concurrent loads or longer response times
  • Stateless: Services scale better and start faster as there is no state to be passivated on shutdown or activated on start up
  • Atomic: helps to do the smallest business unit of work that can be done independently
  • Externalized Configuration: externalize the configurations in the config server, so that it can be maintained in hierarchical structure per environment
  • Consistent: Services should be written in a consistent style as per the coding standards and naming convention guidelines
  • Resilient: Service should handle exceptions arising from technical reasons (connectivity, runtime), and business reasons (invalid inputs) and not crash
  • Reporting: Usage statistics, number of times accessed, average response time, etc. via JMX API
  • Versioned: Support multiple versions for different clients, till all clients migrate to higher versions

Below is the logical view of the Microservices reference architecture.

Fig 2: Microservices Reference Architecture - Logical View

Various components of the reference architecture are described below:

Channels: Channels represents various client side or consumer applications, which will interact with Microservices.

Edge Server: API services or edge services reside on edge server or the API Gateway. Channels interact with the edge services, which decouples the microservices, and keep them channel agnostic.

API gateway is the single entry point for all clients. API Gateway is responsible for aggregating data or, in some cases, acting as a simple routing layer for appropriate services. The API gateway act as a single point of failure. For the coordination between cloud and on premise communication, an API Gateway is used.

The following diagram shows the API gateway interaction patterns

Load Balancer
It is a software based load balancer used for communication between Microservices. Configured for each service for availability, scalability and reliability.

Below diagram show load-balancing scheme.

Decentralized load balancing is the appropriate mechanism for distributing requests between available Microservice instances. Each Microservice can have its own load balancer handling only requests for that Microservice. Client is directly responsible for routing requests to an available Microservice.

API Service: API services need to be exposed either on the edge server or on API Gateway. The Service expose client specific API and can also act as coarse-grained services to orchestrate across multiple Microservices within or across bounded contexts. These services can interact with composite Microservices or directly with core Micro services.

API services can also communicate with the Enterprise Integration Infrastructure (typically ESB/MOM) to access any on premise Enterprise Applications

Composite Service: Composite services orchestrate across multiple core services. These services shall be communicating with the other services using the event-sourcing model or orchestration.

Core services: These services are the basic building blocks for Microservices architecture. These services encapsulate an entity or an aggregate (fine grained) within a given bounded context. Best practice is that, the granularity of the Microservices are always fine grained.

Circuit Breaker: Fault tolerance will ensure that when there is failure, the failed services does not adversely affect the entire system. Without proper mechanisms in place, errors, latencies will trickle up to the calling clients where they will potentially exhaust limited resources. When cascading failures occur, the overall system availability is significantly affected.

The three states of the Circuit Breaker is depicted below,

Closed State
When the service dependency is healthy and no issues detected, the Circuit Breaker is in state of closed. All invocations can pass through the service.

Open State
Circuit Breaker considers the following invocations as failed and factors them in deciding circuit open:

  • Request to the remote service time out
  • Thread pool and bounded task queue used to interact with Service dependency are at 100% capacity
  • Client library used to interact with a service dependency throws an exception

In open state, the circuit breaker reject invocations by either

  • Throwing an exception
  • Returning a fallback output

Half Open State
When the circuit breaker is in Open state, it periodically leaves through one invocation at a configurable interval. If the invocation succeeds, the circuit is closed again.

Cloud Config: It is a single source of configuration data for all other services in a Microservice-based application. Each service can have its configuration in a repository, which centralizes the configuration across all environments. It decouples the configuration from the implementation, which helps to update the configuration without affecting any of the services. Every update on the configuration files in the repository are automatically propagated to the running instances.

Service Discovery: In Microservices application, the dynamic assignment of service instances network locations happens automatically. In addition, the set of service instances changes dynamically because of auto-scaling, failures and upgrades. Consequently, the client code needs to use a service discovery mechanism.

There are two main service discovery patterns: Client-side discovery and Server-side discovery.

  • Client-Side Discovery Pattern: Client is responsible for determining the network locations of available service instances and load balancing requests across them. The client queries a service registry, which is a database of available service instances. The client then uses a load-balancing algorithm to select one of the available service instances and makes a request.
  • Server-Side Discovery Pattern: Client makes the request to a service via a load balancer. The load balancer queries the service registry and routes each request to an available service instance.
  • Service Registry: Service registry is a key part of service discovery. It is a database containing the network locations of service instances. A service registry needs to be highly available and up to date. Clients can cache network locations obtained from the service registry. However, that information eventually becomes out of date and clients become unable to discover service instances.
  • Self-Registration Pattern: Service instance is responsible for registering and deregistering itself with the service registry. In addition, a service instance sends heartbeat requests to prevent its registration from expiring.
  • Third-Party Registration Pattern: In this case, another system component known as the service registrar handles the registration. The service registrar tracks changes to the set of running instances by either polling the deployment environment or subscribing to events. It registers and deregisters the service instances.

Messaging & Events Stream: Lightweight messaging platforms like AMQP shall be used for exchange of messages between microservice within or across bounded contexts or in case of event sourcing used as part of the choreography.

Monitoring: As microservices are distributed and heterogeneous in nature, it is critical to monitor and visualize making sure that software is reliable, available, and performs as expected. Monitoring typically involves collecting metrics from all the applicable systems involved and analyzing/visualizing call graphs. These gets complex as the application complexity (again depends on number microservices and their interactions in a call graph) grows. There are many commercial and open source tools for monitoring microservices.

Distributed Tracing: Distributed tracing helps in how a request traverse through the application, especially when you may not have any insight into the implementation of the microservice you are calling. Tracing tools introduces unique IDs for logging which are consistent between Microservice calls which makes possible to find how a single request travels from one Microservice to the next.

Security: With microservices, security becomes a challenge primarily because no middleware component handles security-based functionality. Instead, each service must handle security on its own, or in some cases, the API layer be made more intelligent to handle the security aspects of the application. Security Frameworks like oAuth2 address the security concern. There are multiple ways of configuring security for microservices; by making API Gateway behave like reverse proxy or by securing each microservice using the security service (backing service like IAM) provided by the PaaS provider.

Backing Services: A PaaS provides services grouped into various categories like database, analytics, security, Data warehouse etc. used by the cloud application. These services expose lightweight protocols (like REST) and consumed by the cloud application by binding. PaaS providers provide consoles (UI based) to manage backing services.

On Premise Integration: API Gateway helps to mediate the communication between cloud and on premise applications. API Services will be used to orchestrate calls that span cloud and on premise by calling the enterprise integration infrastructure for calling any applications on premise.

Infrastructure: Infrastructure has two components; PaaS and IaaS. IaaS is the abstraction onto the hardware and provides on demand resource provisioning. Resources can be scaled out or in based on usage pattern. PaaS is cloud platform residing on top of IaaS. This layer provide the required support for the cloud applications to deploy and run. PaaS provides various runtimes and many backing services required for a cloud application.

Conclusions
Microservices is not a product, framework, or platform. It is a strategy for building large enterprise distributed systems. One of the characteristic of microservice is of loosely coupled and deployed independently of one another. Microservices architecture can offer enterprises many advantages, from independent scalability of diverse application components to faster, easier software development and maintenance. Sizing of the Microservices is very critical for the design of the better services. Open source technology solutions and organizational methods are leading the Microservices market. As a result, Microservices reduce vendor lock-in and eliminate long-term technology commitment, helps to choose the tools need to meet IT and business goals.

In addition, Microservices Reference Architecture need to be developed based on industry‑standard components like Docker containers, and a wide range of languages - Java, PHP, Python, Node.js/JavaScript and Ruby etc. Developed Microservice must expose JavaScript Object Notation (JSON) or Extensible Mark up Language (XML) over the HTTP to provide a REST API. These standards would provide guidelines about how to describe, maintain, and retire Microservices.

Finally, Microservices based System Design is an ongoing story. It is not something that has to done once, and immediately. With the right people, processes, and tools, Microservices can deliver faster development and deployment, easier maintenance, improved scalability, and freedom from long-term technology commitment.

References

  1. "Microservices". martinfowler.com. Retrieved 2017-02-06
  2. S. Newman, Building Microservices - Designing Fine-Grained Systems, O'Reilly, 2015
  3. E. Wolff, Microservices: Flexible Software Architecture, Addison-Wesley, 2016

Acknowledgements

The authors would like to thank Hari Kishan Burle, Raju Alluri of Global Enterprise Architecture

Group of Wipro Technologies for giving the required time and support in many ways in bringing

Up the article as part of Global Enterprise Architecture Practice efforts.

Authors

Dr. Gopala Krishna Behara is a Lead Enterprise Architect in the SCA Practice division of Wipro. He has a total of 21 years of IT experience. Reached at gopalkrishna.behra@wipro.com

Tirumala Khandrika is a Senior Architect in the SCA Practice division of Wipro. He has a total of 16 years of IT experience. Reached at tirumala.khandrika@wipro.com

Sridhar Chalasani is an Architect in the SCA Practice division of Wipro. He has a total of 12 years of IT experience. Reached at sreedhar.chalasani@wipro.com

Disclaimer

The views expressed in this article/presentation are that of authors and Wipro does not subscribe to the substance, veracity or truthfulness of the said opinion

About Gopala Krishna Behara
Dr. Gopala Krishna Behara is a Senior Enterprise Architect in the Enterprise Architecture & Solutions division of Wipro. He has a total of 16 years of IT experience. He can be reached at gopalkrishna.behra@wipro.com

About Sridhar Chalasani
Sridhar Chalasani is an Architect in the Global Enterprise Architecture Practice division of Wipro. He has a total of 12 years of IT experience. He can be reached at sreedhar.chalasani@wipro.com

About Tirumala Khandrika
Tirumala Khandrika is a Senior Architect in the Global Enterprise Architecture Practice division of Wipro. He has a total of 16 years of IT experience. He can be reached at tirumala.khandrika@wipro.com

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High-velocity engineering teams are applying not only continuous delivery processes, but also lessons in experimentation from established leaders like Amazon, Netflix, and Facebook. These companies have made experimentation a foundation for their release processes, allowing them to try out major feature releases and redesigns within smaller groups before making them broadly available. In his session at 21st Cloud Expo, Brian Lucas, Senior Staff Engineer at Optimizely, discussed how by using ne...
"There's plenty of bandwidth out there but it's never in the right place. So what Cedexis does is uses data to work out the best pathways to get data from the origin to the person who wants to get it," explained Simon Jones, Evangelist and Head of Marketing at Cedexis, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
Large industrial manufacturing organizations are adopting the agile principles of cloud software companies. The industrial manufacturing development process has not scaled over time. Now that design CAD teams are geographically distributed, centralizing their work is key. With large multi-gigabyte projects, outdated tools have stifled industrial team agility, time-to-market milestones, and impacted P&L stakeholders.
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
Enterprises are moving to the cloud faster than most of us in security expected. CIOs are going from 0 to 100 in cloud adoption and leaving security teams in the dust. Once cloud is part of an enterprise stack, it’s unclear who has responsibility for the protection of applications, services, and data. When cloud breaches occur, whether active compromise or a publicly accessible database, the blame must fall on both service providers and users. In his session at 21st Cloud Expo, Ben Johnson, C...
"Infoblox does DNS, DHCP and IP address management for not only enterprise networks but cloud networks as well. Customers are looking for a single platform that can extend not only in their private enterprise environment but private cloud, public cloud, tracking all the IP space and everything that is going on in that environment," explained Steve Salo, Principal Systems Engineer at Infoblox, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventio...
Data scientists must access high-performance computing resources across a wide-area network. To achieve cloud-based HPC visualization, researchers must transfer datasets and visualization results efficiently. HPC clusters now compute GPU-accelerated visualization in the cloud cluster. To efficiently display results remotely, a high-performance, low-latency protocol transfers the display from the cluster to a remote desktop. Further, tools to easily mount remote datasets and efficiently transfer...
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation. In the years since the publication of the Agile Manifesto, the conn...
"We're developing a software that is based on the cloud environment and we are providing those services to corporations and the general public," explained Seungmin Kim, CEO/CTO of SM Systems Inc., in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
The question before companies today is not whether to become intelligent, it’s a question of how and how fast. The key is to adopt and deploy an intelligent application strategy while simultaneously preparing to scale that intelligence. In her session at 21st Cloud Expo, Sangeeta Chakraborty, Chief Customer Officer at Ayasdi, provided a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to oper...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...
In his session at 21st Cloud Expo, James Henry, Co-CEO/CTO of Calgary Scientific Inc., introduced you to the challenges, solutions and benefits of training AI systems to solve visual problems with an emphasis on improving AIs with continuous training in the field. He explored applications in several industries and discussed technologies that allow the deployment of advanced visualization solutions to the cloud.

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Big Data Expo Silicon Valley All-Star Speakers Include

MATTHIEU
Octoblu

MAHADEV
Cisco

MCCARTHY
Bsquare

FELICIANO
AMDG

PAUL
VenueNext

SMITH
Eviot

BEAMER
goTraverse

GETTENS
goTraverse

CHAMBLISS
ReadyTalk

HERBERTS
Cityzen Data

REITBAUER
Dynatrace

WILLIAM-
SON

Cloud
Computing

SCHMARZO
EMC

WOOD
VeloCloud

WALLGREN
Electric Cloud

VARAN-
NATH

GE

SRIDHARA-
BALAN

Pulzze

METRIC
Linux

MONTES
Iced

ARIOLA
Parasoft

HOLT
Daitan

CUNNING-
HAM

ReadyTalk

BEDRO-
SIAN

Cypress

NAMIE
Cisco

NAKA-
GAWA

Transparent
Cloud

SHIBATA
Transparent
Cloud

BOYD
Neo4j

WARD
DWE

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

BUTLER
Tego

ROWE
IBM Cloud

SKILLERN
Intel

SMITH
Numerex
Big Data Expo New York All-Star Speakers Include

CLELAND
HGST

VASILIOU
Catchpoint

WALLGREN
Electric Cloud

HINCH-
CLIFFE

7Summits

DE SOUZA
Cisco

RANDALL
Gartner

ARMSTRONG
AppNeta

SMALLTREE
Cazena

MCCARTHY
Bsquare

DELOACH
Infobright

QUINT
Ontegrity

MALAUCHLAN
Buddy Platform

PALIOTTA
Vector

MITRA
Cognizant

KOCHER
Grey Heron

PAPDO
POULOS

Cloud9

HARLAN
Two Bulls

GOLO
SHUBIN

Bit6

PROIETTI
Location
Smart

MARTIN
nfrastructure

MOULINE
Everbridge

MARSH
Blue Pillar

PARKS
SecureRF

PEROTTI
Plantronics

HOFFMAN
EastBanc

WATSON
Trendalyze

BENSONOFF
Unigma

SHAN
CTS

MATTELA
Redpine

GILLEN
Spark
Coginition

SOLT
Netvibes

BERNARDO
GE Digital

ROMANSKY
TrustPoint

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
-MAREVA

Google

SINGH
Sencha

CALKINS
Amadeus

KLEIN
Rachio

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

SNELL
Intel

LEVINE
CytexOne

ALLEN
Freewave

MCCALLUM
Falconstor

HYEDT
Seamless

Big Data Expo Silicon Valley All-Star Speakers Include

SCHULZ
Luxoft

TAMBURINI
Autodesk

MCCARTHY
Bsquare

THURAI
SaneIoT

TURNER
Cloudian

ENDO
Intrepid

NAKAGAWA
Transparent

SHIBATA
Transparent

LEVANT-LEVI
testRTC

VARAN NATH
GE

COOPER
M2Mi

SENAY
Teletax

SKEEN
Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-JOVIC
AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLALANTORIO
DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBACHEV
Intelligent
Systems

THYKATTIL
Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
-WITHANA

WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOMBERG
Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCININNI
EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMINGHAM
SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRYMPLE
EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

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@CloudExpo Blogs
The nature of test environments is inherently temporary—you set up an environment, run through an automated test suite, and then tear down the environment. If you can reduce the cycle time for this process down to hours or minutes, then you may be able to cut your test environment budgets considerably. The impact of cloud adoption on test environments is a valuable advancement in both cost savings and agility. The on-demand model takes advantage of public cloud APIs requiring only payment for the time needed to run automated tests. In this framework, success depends on two things: automated i...
Bitcoins are a digital cryptocurrency and have been around since 2009. As a substitute for legal tender, they are becoming the rage for investors and others but because there is no government agency auditing or performing regulatory oversights, you wonder if it is the perfect breeding ground for electronic nanocrime. Since the introduction of the Bitcoin, some competitors have emerged and the whole segment of cryptocurrencies are defined as Altcoins. Altcoins include Dogecoin, Ethereum Feathercoin, Litecoin, Novacoin, Peercoin, and Zetacoin. Some of these cryptocurrencies are considered impro...
The rule of thumb for network security today is that there is no perimeter anymore. An outsider can easily become an insider once perimeter security is breached. Every day, attackers find new ways to breach enterprise perimeter security through ransomware, malware or phishing through social engineering. This is not to suggest that all is lost. Rather, organizations can defeat cybercriminals, in part, by better managing what has already been put in place. As an example of what can go wrong if that doesn’t happen, consider the following story.
Java 9 ships with some minor—yet awesome—new language features that make developing easier and cleaner. In this post, we’ll take a look at three of these new features. You probably remember interface methods, which were introduced in Java 8. These are required so that Java itself, as well as framework vendors, can add new methods to interfaces without breaking pre-existing implementations. As these methods can become rather complex, Java now enables you to declare interface methods as private. This allows for extracting common code from interface methods while hiding the code from external us...
Many enterprise and government IT organizations are realizing the benefits of cloud computing by extending IT delivery and management processes across private and public cloud services. But they are often challenged with balancing the need for centralized cloud governance without stifling user-driven innovation. This strategy requires an approach that fundamentally reshapes how IT is delivered today, shifting the focus from infrastructure to services aggregation, and mixing and matching the best services for meeting organizations’ current and future needs.
Quick quiz! What’s the first thing that comes to mind when you hear the following phrases? Artificial grass Artificial sweeteners Artificial flavors Artificial plants
One problem that all developers and companies struggle with is trying to decide if they should "build it" or "buy it". Software developers love to build things. That is what we do! Their natural reaction tends to lean towards building things. We are also always up for a new challenge. There are very good reasons for building or buying software. There are also good reasons to use open source projects, which is a third option.
So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems to have rendered data warehousing to the back burner, it is entirely false that there is not a critical role for the data warehouse and Business Intelligence in digitally transformed organizations.
Organizations around the world are struggling to cope with the current data explosion. A vital characteristic of this data is that it is unstructured and represents things like email, images, and videos. Storage of this form of data is typically in an object format which differs significantly from the database norm. Databases housed data grows very slowly because most of it is structured. Object storage formats are now being used to optimize access to large amounts of non-transactional files across a growing number of vertical markets.
Cavirin Systems has just announced C2, a SaaS offering designed to bring continuous security assessment and remediation to hybrid environments, containers, and data centers. Cavirin C2 is deployed within Amazon Web Services (AWS) and features a flexible licensing model for easy scalability and clear pay-as-you-go pricing. Although native to AWS, it also supports assessment and remediation of virtual or container instances within Microsoft Azure, Google Cloud Platform (GCP), or on-premise. By drawing on a comprehensive library of curated industry guidelines, control frameworks, and best practi...
Troubleshooting a problem on a remote server, especially in production, is not an easy task. Sometimes it involves debugging the application code directly on the server. But the production servers are usually run in a strict environment, where not all convenient developer tools are available. In this article, you'll discover how to configure a running web server and debug your application using standard facilities provided by the Java platform.
How much does it cost to make an app is almost as popular a question as it is confusing. No one tries to learn the exact costs of, say, making a movie: people realize that there’s an overwhelming amount of variables involved on which they depend. But almost every day a new inquiry is posted on a tech forum, Quora, or Reddit as to how much it’d take to build a mobile business app.
"This all sounds great. But it's just not realistic." This is what a group of five senior IT executives told me during a workshop I held not long ago. We were working through an exercise on the organizational characteristics necessary to successfully execute a digital transformation, and the group was doing their ‘readout.' The executives loved everything we discussed and agreed that if such an environment existed, it would make transformation much easier. They just didn't believe it was realistic.
BnkToTheFuture.com is the largest online investment platform for investing in FinTech, Bitcoin and Blockchain companies. We believe the future of finance looks very different from the past and we aim to invest and provide trading opportunities for qualifying investors that want to build a portfolio in the sector in compliance with international financial regulations.
The question before companies today is not whether to become intelligent, it’s a question of how and how fast. The key is to adopt and deploy an intelligent application strategy while simultaneously preparing to scale that intelligence. In her session at 21st Cloud Expo, Sangeeta Chakraborty, Chief Customer Officer at Ayasdi, provided a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to operationalize the intelligence and how to implement a strategy to scale efforts. She pulled from her ex...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Data Monetization! Data Monetization! Data Monetization! It’s the new mantra of many organizations. But what does “data monetization” really mean, how do you do it, and more importantly, who in the organization owns the job of “data monetization”? The role of Chief Data Officer (CDO) would seem to be a godsend to answer the data monetization challenge. They should be the catalyst in helping organizations to become more effective at leveraging data and analytics to power the digital transformation.
The cloud revolution in enterprises has very clearly crossed the phase of proof-of-concepts into a truly mainstream adoption. One of most popular enterprise-wide initiatives currently going on are “cloud migration” programs of some kind or another. Finding business value for these programs is not hard to fathom – they include hyperelasticity in infrastructure consumption, subscription based models, and agility derived from rapid speed of deployment of applications. These factors will continue to drive cloud adoption into the foreseeable future.
Developing mobile apps has never been an easy task. Creating a mobile app for iOS means owning strong programming skills about Objective-C or Swift and knowing their APIs. Android-based apps are not so different: you have to know Java and the Android Platform and its API. The learning curve is not fast and it includes how to create nice and interactive user interfaces, connecting embedded features like GPS, camera, showing maps, images and so forth.
MongoDB, an open-source document store and most popular NoSQL database on the market today, offers a variety of advanced features to administer security over your MongoDB deployments. In this tutorial post, we’re going to show you how to set up role-based access control (RBAC) to manage user access across your MongoDB systems for reIndex, mongodump and mongorestore. If you're the administrator of your MongoDB databases, you've likely received requests to provide an individual user with the capabilities to perform a certain action(s). MongoDB's security features are fairly mature now, and allo...