Name: Containers: Best Practices and Data Management Services
Start: 2016-12-07T18:00:00Z
End: 2016-12-07T18:56:44.000Z
Location: BrightTALK

Cloud computing is a general concept that incorporates software-as-a-service (SaaS), platform-as-a-service (PaaS), infrastructure-as-a-service (IaaS) and other recent well-known technology trends in which the common theme is reliance on the Internet for satisfying the computing needs of the users.  

This channel features presentations by thought leaders who cover the key topic areas in this increasingly important field.

Digital acceleration brought on by the pandemic environment has put unprecedented pressure on software development teams in every industry. This new reality demands that software engineering leaders must re-evaluate their processes and take steps to modernize their teams, practices and tools, focusing on workflow automation, security integration and expedited operations.
 
This panel of experts will explore the strategies forward-thinking software development teams should consider adopting to improve their processes and ensure they can meet modern-day demands.
 
Join us to learn about:
--Developer platforms and environments
--Low-code/no-code options
--Streamlining workflow with analytics
--Automated testing

Modernize Your Software Development Process

The amount of data that organizations collect has grown tremendously over the last decade. With this comes increasing challenges for organizations in the way that they store, access and govern data effectively so the correct groups of people have access to the data they need. Yet, many of the traditional ways of dealing with data create bottlenecks, silos and data trust issues. Through providing more widespread access and control of data – known as democratization -- companies can remove the bottleneck to data access, improve employee knowledge and remove data silos.
 
In this panel, experts discuss the technologies and tools that can help make data accessible, usable and manageable for a wide range of users and stakeholders.
 
Join us to hear about:
--Business intelligence and analytics tools
--Self-service analytics
--Data virtualization
--Data visualization
--Augmented analytics

Enabling Data Accessibility

Researchers have estimated that the world will create 463 exabytes of data daily by 2025 – that equals 463 billion gigabytes per day. And as that data becomes more and more distributed, managing and making use of it is extremely complex. Businesses need to evolve their technology stack to handle the volume and variety of data available to them, and they need to implement the infrastructure capable of doing that work, often in real or near real time.
 
This panel of experts explores how to choose the best data architecture to fit your business needs, delving into the rapidly evolving options.
 
Join us to learn:
--How to assess data architecture needs from a business point of view
--Pros and cons of data warehouses, lakes and lakehouses 
--The difference between data fabrics and data mesh
--Cloud-based data platforms
--How to approach integrating more than one platform

Choose the Optimal Data Architecture

1)       New Challenges for Data Center: Cloud, AI, 5G and etc drive the rapid development of DC; TTM, O&M, high Cost, reliability become the challenges
2)       Nest-Generation DC: Simple, Green, Smart, and Reliable
3)       +AI, Huawei Builds Next-Generation Smart Data Centers
4)       iPower Predictive Maintenance, Ensuring Facility Safety, iCooling@AI: Reduces System-level Energy Efficiency Management PUE by 8%-15%
5)       Simple Design, Green construction: Modular, Prefabricated, On-demand Construction, And Flexible Expansion From Component-Level To Solution-Level To DC-Level

The Next-generation, Simple, Smart, And Reliable "Low Carbon" Data Center

Today's businesses have embraced cloud computing, migrating workloads, adopting SaaS applications, implementing DevOps initiatives and facilitating hybrid work. Cloud growth is expected to continue as businesses turn from pandemic survival mode to a more holistic approach. According Gartner, global spending on cloud services is predicted to reach more than $482 billion in 2022, up from $313 billion in 2020. How can organizations shift from a jumble of cloud applications to a methodology that takes advantage of cloud's full potential.
 
Our panel of experts explores the next iteration of cloud and the steps IT and business leaders must take to achieve true business differentiation through cloud computing by enabling new services, products and business models.
 
Join us to learn:
--How to identify areas of cloud opportunity and create a holistic plan
--How cloud integration can advance corporate initiatives like sustainability and diversity
--Why business executives are crucial to cloud success
--The benefits of launching a cloud center of expertise
--How to start with a pilot program and grow

The Need for a New Cloud Operating Model

As businesses are developing rapidly, many cloud consumers find that a single public/private cloud or traditional on-premises data center no longer meets service requirements. Hybrid clouds, especially, are gaining more traction as cloud customers increasingly understand that using public clouds or private clouds alone poses certain limitations. Hybrid cloud is often the starting point for organizations to get started on the cloud journey. However, hybrid clouds pose different risks and thus introduce a different set of challenges to security.

This presentation will: 
- Provide the overview of hybrid cloud. 
- Demonstrate risks of using the hybrid cloud.
- Threats and vulnerabilities. 
- Hybrid cloud use cases.

Hybrid Cloud and Its Associated Risks

We are typically accustomed to buying cloud subscriptions from a cloud service provider (CSP) and managed services from a managed services provider (MSP). 

With the increased offerings from CSPs, these lines are now increasingly blurring. Which cloud services still need managed services? Cloud service providers like AWS are now starting to provide their own managed services. With so many options available to customers what should they focus on? What is hype? What is reality? Where do we go from here?

Emerging Trend: Will Cloud Providers Also Become Managed Service Providers?

As our lives and businesses become increasingly digital, demand generated as a result of this
digital transformation and virtualization will reveal the importance of Data Centers in the
effectiveness and functionality of our world now more than ever. By dramatically increasing
density and scale of workloads in Data Centers we subsequently increase the significances of
potential physical infrastructure failures. The success of every business is ultimately built on the
physical foundation of Data Center Infrastructure, whether that infrastructure is on-premise, off-
premise, or hybrid. Optimization of a Data Center should not by any means compromise physical
& logical security, data availability, operational scalability, agility, innovation and technology
economics among other possible risk. Proactive look at the Data Center Optimization
opportunities, Data Center managers can better enable the organizations they serve to succeed
in an increasingly tech-centric world while they continue to pursue the opportunities offered by
virtualization, the cloud, and software-defined IT infrastructure.

Data Centers Optimization in Rapid Growing Digital Economy & A Virtualized World

In this webinar, we take a deep dive and discuss some of the fundamental aspects of distributed cloud computing, in detail. You’ll learn:
• Mechanics of distributed cloud computing
• Benefits and opportunities of distributed cloud
• Challenges and open questions related to distributed cloud model
• Considerations for the technology leaders from the standpoint of strategy, architecture and best practices of distributed cloud computing

Distributed Cloud Computing: Next Frontier of Hybrid Cloud Landscape

Data is fundamental to make informed and verified business decisions. Business data comes in a wide variety of formats, and data in all its forms is highly valuable to owners and to enterprises. Building and managing a modern data center requires awareness of new trends and technologies as data center infrastructure gets more and more complex. Data storage complexity is a key factor and largely determines the data center operational efficiency, data availability, and the response time. Layered structure and modular implementation would significantly increase the data center performance, meanwhile non supervised machine learning may contribute to embedding logical optimization techniques to store, reconfigure and reorganize the classified information.

Optimizing Data Center Infrastructure

In this presentation, we will describe:
SystemReady and its SR and LS bands for data centers
* Specifications and test suite updates
* Open source efforts
* Certification requirements and process
* Major compliance issues and what to do
* Certified systems and what to do

Making Software “Just Work” for the Green Data Center

Sustainably Powering the Data Centre Through Innovative Technologies and Ways of Working

Sustainably Powering the Data Centre Through Innovative Technologies

Modern technology continues to create larger and larger volumes of data.  First we have ever increasing levels of precision in the macro and micro whelms of Scientific Visualization with big decimals and many values before and after the decimal point.  Molecular Biology and genetics are also creating large libraries of genomes, proteins, and pattern matches within DNA and RNA transcripts.

The second area of growth and complexity includes proliferation of devices from IoT and sensors, to phones and tablets, to data centers, cloud, and hybrid environments.  As technology continues to evolve, we can expect these interactions to increase exponentially and the number of devices continues to grow.  These devices often need to work together in complex coordinated ways to process data into information for presentation to systems and users that consume them

A third trend that is ever present is increased volumes of Network Traffic.  Web sites continue to grow in length and complexity with larger footprint in terms of number of pages, and pages themselves growing larger every day.  Increased analytics also contribute as businesses want to know where there traffic is being directed, and consumer trends that indicate buying activities.

These and other trends are driving the need for Next Generation Storage Strategies to overcome challenges in a fast paced Digital world.

Summary
• Increasing Volumes of Data and Precision
• Proliferation of Devices and Data Sources
• Complex Environments – Network Traffic

Data, Data Everywhere

Hybrid cloud is one of the choice for cloud architecture for enterprises and service providers in their journey to cloud transformation but this choice comes with its own economics and challenges. This webcast though will briefly touch upon this but soon will take a technical turn and will talk more about ongoing research in this area, technologies involved and some of the market offerings.

Hybrid Cloud TechScape – A Peek

Connecting industrial plant to the internet enables businesses to transform themselves digitally to create new products and services and to create new business models to monetize their offerings. But this is a road going uphill. Where do you start? How do you address ossified organizational, operational, and business practices? What do you need to jumpstart change? And where are you heading anyway? This presentation will map the road to digital transformation, illustrate the learnings and resources the Industrial Internet Consortium can bring to bear and look to the future.

The Road to Digital Transformation

* This presentation focuses on the Arm SystemReady ES and IR program that makes software “just work” on IoT devices
* It describes the hardware and firmware specifications and recipes suitable for the IoT devices
* It also presents the test suites and compliance certification requirements and processes
* It will also provide the ecosystem status and information on how to participate

Making Software “Just Work” on IoT Devices!

In the era that your watch can track your vitals, your car get started with your cellphone, your digital speaker tells you a joke; how does it matter that your QSR drive thru talks to your freezer?

How Complete is your IoT Infrastructure? Where to start, where to end

Now that you have become acquainted with basic container technologies and the associated storage challenges in supporting applications running within containers in production; let’s take a deeper dive into what differentiates this technology from what you are used to with virtual machines.  Containers can both complement virtual machines and also replace them as they promise the ability to scale exponentially higher. They can easily be ported from one physical server to another or to one platform—such as on-premise—to another—such as public cloud providers like Amazon AWS.  In this Webcast, we’ll explore “container best practices” that discuss how to address the various challenges around networking, security and logging. We’ll also look at what types of applications more easily lend themselves to a microservice architecture versus which applications may require additional investment to refactor/re-architect to take advantage of microservices.

After the webcast, check out the Q&A blog http://www.sniacloud.com/?p=233

Containers: Best Practices and Data Management Services

Containers

Docker

Storage

Public

Cloud

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Containers: Best Practices and Data Management Services

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