Learn how to 10x your development velocity with an easy-to-setup Kubernetes pipeline. Having a true continuous deployment pipeline is closer than you think. By leveraging powerful technologies like Kubernetes, Google Container Engine (GKE), Google Container Registry (GCR), and Codefresh, we’ll show you how to go from commit to deploy faster than ever.
In this webinar, join William Dennis, Product Manager at Google Cloud, and Dan Garfield, Full-Stack Developer at Codefresh to see just how easy and powerful continuous deployment can be when using Kubernetes with Google Cloud and Codefresh.
Topics will include:
Setting up your first Kubernetes cluster
A full guide to deploying your first application
Automating deployment to Google Container Engine (GKE)
Tactics for testing microservices
Image tagging strategies for high quality control in Docker Registries
Not to mention free credits to help you get started!
Microservice architectures enable development teams to bring new features and updates to market faster. But enterprises adopting microservices also experience common challenges like service redundancy, duplication, and not being able to connect to existing databases and SaaS tools easily. With an increasing number of services across the organization, visibility and governance become even more critical for IT.
In this webinar, we will cover how Pivotal and Mulesoft are addressing these challenges with a modern application development and operations environment so that application developers can remain focused on generating value for customers, and operators can deploy, monitor, and scale their apps faster.
Topics include how you can:
* Rapidly build and deliver scalable, resilient microservices and applications implementing distributed system patterns
* Easily catalogue, discover, and consume your microservices
* Quickly connect your microservices to legacy or SaaS applications
* Analyze API metrics and manage appropriate policies to govern interaction patterns across the services/APIs landscape
RobertHalf automates Hybrid Cloud deployment on Amazon AWS with Aviatrix Hybrid Cloud eXtend (HCX) software to reduce the time to deploy virtual private cloud (VPC) resources from 3 weeks to 30minutes. Watch the video to learn how from the solution architects of RobertHalf.Read more >
While the proliferation of analytic technologies has created exciting new ways to harness Big Data like never before, for many it has also created a quagmire of complexity that is slow to deploy, runs inefficiently, isn’t integrated with other systems, and cannot be scaled. There is a solution; it is possible to create next-generation applications with ease and efficiency.
Join us for this presentation to learn:
• How to jump start Big Data technologies deployments by using a standard analytic platform
• How to implement an analytics platform that can scale based on your needs and simplifies your user experience
• Where analytics deployments have failed to deliver ROI
• Lessons learned from other companies on the journey to enterprise-grade analytics
• What consumption models are available and which are most advantageous
Discover the new platform within the enterprise! The emergence of Big Data has driven the need for a new data platform within the enterprise.
Apache Hadoop has emerged as the core of that platform and is driving transformative outcomes across every industry.
Leverage the unique advantages of Cloudera Enterprise to help you improve products and service offerings, drive operational efficiencies, and reduce your business risk. The Cloudera offering in Azure Marketplace combines the latest open source components from the Apache Hadoop ecosystem with enterprise-grade security, governance, and management tools to help you move quickly from Proof of Concept (POC) to production and deliver value to the business.
Join this webcast to:
- See how Microsoft Azure provides first class support for your Linux-based Apache Hadoop applications
- Explore the Cloudera Enterprise stack, from open source components to enterprise tooling
- Review common use cases for Cloudera on Azure
- Discover customer benefits and success stories
- Learn how to deploy and start recognizing value with Cloudera on Azure
This webinar is part of the ‘8-part Azure Open Source’ webinar series dedicated to discussing various open source solutions available on Azure, to ensure you're successful with your Linux-based applications provided by our trusted partners like Cloudera, Datastax, Cloudbees, SUSE, Pivotal, and more.
This webcast is part of our Realize more benefits with open source on Azure webcast series. Sign up for this session, or the entire series today!
Service providers are increasingly becoming involved in the deployment of Web Real-Time Communication (WebRTC) technology to deliver richer forms of unified communication services to more connected users.
Even though WebRTC opens up many great opportunities to extend existing VoLTE, ViLTE, VoWiFi and RCS services while also creating entirely new services to their customers, service providers need to be careful what they wish for. One of the biggest challenge is preparing networks to address interworking of new and extended services in a well-defined standardized approach.
This webinar explores how service providers can maximize their goals by deploying standardized WebRTC services with confidence. Insight is provided on architectural requirements surrounding WebRTC implementation–including networks, devices (WebRTC gateway/SBC) and protocols–to deliver uncompromising network and service performance in today’s highly-competitive environment.
Who Should Attend
Network architects, designers, lab managers and testers from service providers, large enterprises, and manufacturers, press, and analysts looking to understand how to design, build, test and deploy WebRTC services.
Building on the core understanding of virtual machines from "Deploy Virtual Machines in the Cloud: Part 1," take a deeper dive and look at how to use virtual machines (VMs) for more complex and more mission-critical roles. See how to deploy complex VM-based solutions using Azure Resource Manager and how to use and configure premium storage and multi-disk solutions.Read more >
Enterprise applications today are becoming increasingly complex, leveraging components across multiple platforms, including cloud. Learn how you can leverage IBM DevOps Services for Bluemix to provide full multi-stage release and deployment management to facilitate development, test and staging of complex applicationsRead more >
Webcast with IDC's Jen Thomson, looking at the future of development,Read more >
CloudPhysics shows you how to deploy your first observer!Read more >
Enterprise data science teams are driving big innovations in machine learning, but this has put them under increased pressure to deliver more models, more frequently, and more rapidly.
In this webinar, Forrester VP & Principal Analyst, Mike Gualtieri, will share data on the top trends in machine learning and lay out what data science teams need to do in order to maximize their output.
Chris Robison, Head of Data Science at Overstock.com and Craig Kelly, Group Product Manager at Overstock.com, will showcase how they utilized big data and machine learning to
-Create a one-to-one personalized shopping experience.
-Decrease cost of moving models to production by nearly 50%.
-Stand up new models 5x faster than before.
John Kindervag from Forrester talks about protecting your organization against internal threats through a zero trust approach that you can start to deploy today by using Next Generation Firewalls (NGFW) to protect internal network segments.Read more >
High-performance car maker Shelby American saves money and minimizes IT overhead by connecting employees to business applications with a high-performance Silver Peak Unity EdgeConnect SD-WAN solution. Deploying an IT infrastructure in a secure co-located data center connected with EdgeConnect delivers the performance users expect and the business demands. Performance, it’s the foundation of the business.Read more >
Cost vs. flexibility is always a challenge when creating Big Data applications to serve your business. Do you buy an off the shelf, shrink wrapped product that does not scale to meet your need? Or do you invest in development resources to create and maintain your own applications to scale to business needs?
Join us for this next segment of "Under the Hood" to hear about HPE Rapid Deploy Solutions that will get you a step ahead in creating analytical applications such as Voice of Customer, Smart City and others.
The Interroll Group is a worldwide leading producer of high-quality key products and services for internal logistics. Interroll has deployed the Silver Peak Unity EdgeConnect SD-WAN solution to transition its WAN from MPLS to broadband, connecting 2,000+ global employees to applications around the world with the performance, security and cost efficiencies the business demands. The global firm manages its global WAN centrally, across 33 locations, using Unity Orchestrator, enabled by business intent overlays that classify applications in alignment with service level requirements, assuring continuous application performance and availability regardless of underlying network conditions. Unity Boost is applied to further accelerate application performance.Read more >
This video shows how to create a Datera System and join 8 nodes. The process uses the Datera Initialiation UI, the join UI, and joining nodes via API.Read more >
Deep Learning has shown a tremendous success, yet it often requires a lot of effort to leverage its power. Existing Deep Learning frameworks require writing a lot of code to work with a model, let alone in a distributed manner.
This webinar is the first of a series in which we survey the state of Deep Learning at scale, and where we introduce the Deep Learning Pipelines, a new open-source package for Apache Spark. This package simplifies Deep Learning in three major ways:
1. It has a simple API that integrates well with enterprise Machine Learning pipelines.
2. It automatically scales out common Deep Learning patterns, thanks to Spark.
3. It enables exposing Deep Learning models through the familiar Spark APIs, such as MLlib and Spark SQL.
In this webinar, we will look at a complex problem of image classification, using Deep Learning and Spark. Using Deep Learning Pipelines, we will show:
* how to build deep learning models in a few lines of code;
* how to scale common tasks like transfer learning and prediction; and
* how to publish models in Spark SQL.
It takes a team of developers to build a website. And only one to bring it down. If you want to deploy with the strength of 10,000 developers, you shouldn’t have wait for someone to configure the permissions. See how big teams are collaborating without exposing high-profile sites to rookie mistakes.
Watch this webinar recording for a walkthrough of the Pantheon feature Change Management, and learn how to:
-Take the guesswork out of managing permissions for large teams and sites
-Control deployment without slowing down your team
-Grant each team member access to one or many sites through one dashboard
High-performance car maker Shelby American saves $1,500 per month and minimizes IT overhead by running its business on an IT infrastructure with Silver Peak SD-WAN and Dell EMC Networking solutionsRead more >
GREE International Entertainment, Inc., a leading free-to-play mobile social gaming company, is using Aviatrix Enterprise Cloud-defined Networking software with Amazon Virtual Private Cloud (VPC) to accelerate game development and time to market.Read more >
Data is growing at a quantum scale and one of the challenges you face is to enable your users to analyze all this data, extract timely insights from it, and visualize it. In this session, you will learn about business intelligence solutions available on AWS. We discuss best practices for deploying a scalable and self-serve BI platform capable of churning through large datasets.
Fanatics, the nation’s largest online seller of licensed sports apparel, talks about their experience building a globally distributed BI platform on AWS, that delivers massive volumes of reports, dashboards, and charts on a daily basis to an ever growing user base.
Fanatics shares the architecture of their data platform, built using Amazon Redshift, Amazon S3, and open source frameworks like Presto and Spark. They talk in detail about their BI platform including Tableau, Microstrategy, and other tools on AWS to make it easy for their analysts to perform ad-hoc analysis and get real-time updates, alerts, and visualizations.
You will also learn about the experimentation-based approach that Fanatics adopted to fully engage their business intelligence community and make optimal use of their BI platform resources on AWS.
NCR Connections - Our multi-channel solution enabling banks to rapidly deploy personalized business services across physical and digital channels.
Create business agility on your self service channels
Helping our customers do business with their consumers across self service channels
Benefits of NCR Connections
• User experience on the physical channel can now be consistent with other digital channels (gesture control, dynamic content etc.)
• Consumer experience can be highly personalized through simple integration with backend services (CRM and Internal databases)
• Complementary technology choices to adjacent digital channels means maximum reuse of a customer’s existing services, iintegrations and designs
• Tailor the services offered based on a wide variety of segments (consumer profile, location, time, terminal type etc.)
• Our server based architecture enables the enrichment of services on the client without any interruption or client software changes.
Separate “switching”, transaction processing and terminal driving from business services delivers:
• Cost reductions
• Speed to market
• Switching reduced to a standard “commodity”
• Enable the agility the business requires to meet the demands of empowered consumers