HyperConvergence came to market with the objective of being simple, flexible and to help drive down operating expenses. It reduced the footprint by bundling the compute/storage/network into one box. This brought a new set of challenges as the HyperConverged vendors are very focused on their own proprietary building blocks. If you want to scale in a certain way, let's say you identified a need for more storage and want to add a device that is not sold by the HyperConverged vendor, forget about it. This meant that up to now the HyperConverged vendors were in charge of the requirements.
How can an organization with decades worth of accumulated ERP customizations and configurations, IT systems and customized software applications digitally transform fast enough to keep up with the rapidly changing behaviors of digital customers? That is a hard question most organizations are wrestling with today. Often complex custom IT environments served a purpose in a past era, but today where IT speed and agility are required, they serve as anchors restraining an organization from moving forward and digitally transforming fast enough to compete.
A few years ago, if you would have asked me to define DevOps, my answer would have sounded something like “Mumble mumble automation, mumble, automation, mumble mumble, infrastructure-as-code, mumble mumble, strategery.” Thinking that DevOps equated to automation had mostly to do with the fact that most of the DevOps people I talked to and articles I read really only spoke about automation with only indirect references to anything else.
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and controlling infrastructure. The rise of Site Reliability Engineering (SRE) is part of that redefinition of operations vs development roles in organizations.
SYS-CON Events announced today that CA Technologies has been named "Platinum Sponsor" of SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. CA Technologies helps customers succeed in a future where every business - from apparel to energy - is being rewritten by software. From planning to development to management to security, CA creates software that fuels transformation for companies in the application economy. With CA software at the center of their IT strategy, organizations can leverage the technology that changes the way we live - from the data center to the mobile device. CA's software and solutions help customers thrive in the new application economy by delivering the means to deploy, monitor and secure their applications and infrastructure.
Technology has a well-deserved reputation for creating and then promoting digital trends, some of which are aligned to real change, while many are more hype than reality. A few examples of real trends that have shaped technology delivery over the past few years include the rise of Agile and Cloud. Both deliver benefits across a broad set of industries and companies.
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to iterate use cases, bring understanding to those seeking to explore complicated technical concepts and increase revenue across diverse sales channels.
Did you know that you can develop for mainframes in Java? Or that the testing and deployment can be automated across mobile to mainframe? In his session and demo at @DevOpsSummit at 21st Cloud Expo, Dana Boudreau, a Senior Director at CA Technologies, will discuss how increasingly teams are developing with agile methodologies, using modern development environments, and automating testing and deployments, mobile to mainframe.
SYS-CON Events announced today that Elastifile will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Elastifile Cloud File System (ECFS) is software-defined data infrastructure designed for seamless and efficient management of dynamic workloads across heterogeneous environments. Elastifile provides the architecture needed to optimize your hybrid cloud environment, by facilitating efficient data access across cloud and on-premises boundaries - with all the advantages of public IaaS everywhere.
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, will introduce two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multiple Intel RealSense Depth Camera to scan 3D and build 3D models in real-time, and display as hologram in front of remote participants.
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables developers to try out a fleet of devices on IoT gateways with ease. With a sensor simulator built on top of AWS Lambda, it’s possible to elastically generate device sensors that report their state to the cloud.
Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., discussed how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management.
SYS-CON Events announced today that Secure Channels, a cybersecurity firm, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Secure Channels, Inc. offers several products and solutions to its many clients, helping them protect critical data from being compromised and access to computer networks from the unauthorized. The company develops comprehensive data encryption security strategies that are tailored for the unique needs of each client; the team builds in an intuitive user experience to boost efficiency and effectiveness of its cyber security solutions.
The goal of Continuous Testing is to shift testing left to find defects earlier and release software faster. This can be achieved by integrating a set of open source functional and performance testing tools in the early stages of your software delivery lifecycle. There is one process that binds all application delivery stages together into one well-orchestrated machine: Continuous Testing. Continuous Testing is the conveyer belt between the Software Factory and production stages. Artifacts are moved from one stage to the next only after they have been tested and approved to continue. New code submitted to the repository is tested upon commit. When tests fail, the code is rejected. Subsystems are approved as part of periodic builds on their way to the delivery stage, where the system is being tested as production ready. The release process stops when tests fail. The key is to shift test creation and execution to the left, rather than creating tests after development is complete. As code is committed and promoted, all tests run in the background near instantaneously, as there is no longer time for human intervention in a continuous deployment cycle.
Connecting to major cloud service providers is becoming central to doing business. But your cloud provider’s performance is only as good as your connectivity solution. Massive Networks will place you in the driver's seat by exposing how you can extend your LAN from any location to include any cloud platform through an advanced high-performance connection that is secure and dedicated to your business-critical data. In his session at 21st Cloud Expo, Paul Mako, CEO & CIO of Massive Networks, will discuss the intricacies of network and cloud management optimization."
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables developers to try out a fleet of devices on IoT gateways with ease. With a sensor simulator built on top of AWS Lambda, it’s possible to elastically generate device sensors that report their state to the cloud.
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. Jack Norris reviews best practices to show how companies develop, deploy, and dynamically update these applications and how this data-first approach is fundamentally different from traditional applications.
An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics group, will cover the challenges, architectural considerations, best practices, and frameworks available to enable interactive analytics integrated into a Big Data platform.
As many know, the first generation of Cloud Management Platform (CMP) solutions were designed for managing virtual infrastructure (IaaS) and traditional applications. But that’s no longer enough to satisfy evolving and complex business requirements. In his session at 21st Cloud Expo, Scott Davis, Embotics CTO, will explore how next-generation CMPs ensure organizations can manage cloud-native and microservice-based application architectures, while also facilitating agile DevOps methodology. He will explain how automation, orchestration and governance are fundamental to managing today’s hybrid cloud environments and are critical for digital businesses to deliver services faster, with better user experience and higher quality, all while saving money.
In recent years AI has grown significantly and become a substantial area of business investment. What has changed, and how does this affect you? For a long time, artificial intelligence was pure science fiction, relegated to books, television and movies—and you don’t need us to tell you that we are well past that point today. In the last few years we have seen extremely rapid advancement in a series of technologies that have come together to unlock a wave of AI investment. According to Accenture, 85% of executives plan to invest extensively in AI in the next three years, and in the same time period, Forrester estimates that businesses using AI will “steal” $1.2 trillion from companies that don’t. Mark Troester ?utm_medium=feed&utm_source=feedpress.me&utm_campaign=Feed%3A+progress-blogs
Most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes a lot of work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reduction in cost and increase in speed.
Fast-paced changes in the business landscape demand enterprises to rethink their existing business models and add innovative capabilities keeping in mind the new imperatives. One among them is the focus on Digital transformation. In the retail industry, growth is measured in terms of increased sales and value addition to existing products while keeping customer expectations in mind. This is where a digital focus is important to remain competitive.
Docker is on a roll. In the last few years, this container management service has become immensely popular in development, especially given the great fit with agile-based projects and continuous delivery. In this article, I want to take a brief look at how you can use Docker to accelerate and streamline the software development lifecycle (SDLC) process.
"DX encompasses the continuing technology revolution, and is addressing society's most important issues throughout the entire $78 trillion 21st-century global economy," said Roger Strukhoff, Conference Chair. "DX World Expo has organized these issues along 10 tracks with more than 150 of the world's top speakers coming to Istanbul to help change the world."
Vulnerability management is vital for large companies that need to secure containers across thousands of hosts, but many struggle to understand how exposed they are when they discover a new high security vulnerability. In his session at 21st Cloud Expo, John Morello, CTO of Twistlock, will address this pressing concern by introducing the concept of the “Vulnerability Risk Tree API,” which brings all the data together in a simple REST endpoint, allowing companies to easily grasp the severity of the vulnerability. He will provide attendees with actionable advice related to understanding and acting on exposure due to new high severity vulnerabilities.