Name: Organizing for the Cloud: New Skills, Ops and Finances of the Cloud
Start: 2012-05-16T18:00:00Z
End: 2012-05-16T18:58:53.000Z
Location: BrightTALK
Rating: 4

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.

A deep transformation has been happening these past three years in every aspect of the modern workplace, with the widespread introduction of remote work practices, the increasing pressure on supply chain, and globally, modifications in every aspect of the industry. In most cases, this transformation has been digital in nature. And in many of such cases, while this mutation has brought significant improvements in autmation, rationalization, and thus efficiency or productivity, it has also brought new sorts of vulnerabilities and a new level of exposure.

This webinar will list the multiple relationships between Edge AI and Cybersecurity. 
In particular, we will list the traditional but also the specific vulnerabilities of Edge Computing and its declination, Edge AI, and we will present some proven strategies allowing enterprises to address these vulnerabilities. But we will also adress the counterpoint of these vulnerabilities, as the industry can also leverage Edge Computing and Edge AI as an opportunity to secure their digital infrastructure, and thus, their entire operational process. The presentation will thus cover subjects such as Edge AI specific vulnerabilities and strengths, End Point Security practices and tools, Deep Data generation, and other modern considerations linked to Edge AI and cybersecurity in the modern workplace.

Cybersecurity for Edge AI & Edge AI for Cybersecurity: Synergies and Challenges

The concept of the intelligent edge, one that seamlessly merges machine learning with edge devices and mesh networks, providing real-time analytics and actionable insights, is prompting many businesses to build initiatives exploring IoT applications. However, managing the resulting complicated mix of technologies and the glut of real-time data generated by numerous edge devices and sensors can turn out to be more than they bargained for.
 
Join our panel of experts as they unravel the details of intelligence at the edge and how to achieve success with it. They'll cover:
--Most appropriate use cases
--Connectivity options
--Why devices make a difference
--AI and data analytics at the edge
--Edge intelligence software
--Measuring value and success

Achieving Intelligence at the Edge

Edge IT is diverse, distributed, and largely siloed. With OT in the network that involves sensors, IoT devices etc., we need coordination with mobile service providers, communications service providers, cloud SPs and enterprises. Edge IT/OT runs on heterogenous compute architectures with some functionality on-premises and some hosted. It may involve different cloud providers. Compute may include standard x86, cloud IaaS and PaaS, and bare metal.

For different industry verticals there are different edge types, at high level you can call it far edge, edge and regional edge. More specifically they can be further categorized as telco edge, device edge, critical communication edge, enterprise edge or industrial edge. Each edge type may represent a different use case and different risk for cyber-attack.

Key Takeaways:
• In a distributed network you want to have Observability and robust security tooling to detect and monitor the issue. In general, we want to be more proactive than reactive in securing the distributed network.
• Use of technologies such as Blockchain and Distributed Ledger Technology (DTL) for cloud native security is being considered as well.
• In our world today we have defined ownerships of the networks, i.e. mobile network is owned by MNOs like T-Mobile, ATT and Verizon. Enterprise IT networks are owned by enterprises. It will change as we define and build edge centric networks involving multiple industries, cloud SPs, mobile SPs. Management approaches for multi- stakeholder cloud native networks will become essential. Making all the applications and services work across multi cloud infrastructure, managing them, configuring them in an automated and secure way will be important.

Making 5G Ready to Live on The Edge

The impact of the business need for faster cycles and increasing flexibility is driving DevOps and lean ideas throughout the IT value stream.  This has significant meaning for the compute / infrastructure side of the world.  We will explore the idea of “Environments on Demand” and how it can impact the IT Value Stream.  We will examine key elements required to making “Environment on Demand” a reality such as IAC, automation, and other concepts.

Environments on Demand

The changing needs of the business and evolution of DevOps are driving organizations to reexamine how they test.  Accelerating cycles, increasing need for flexibility, and the influx of DevOps and lean ideas require new thinking like Continuous Testing.  This shift has significant meaning for QA organizations and application testing.  
We will explore how automation, shifting left, ephemeral environments, and other DevOps/lean concepts are driving change into the IT value stream.  We will explore the idea of Continuous Testing and how it can help change your testing strategy to keep pace with tomorrow’s needs.

Continuous Testing

Testing is an indispensable and potentially a very expensive part of the software development life cycle.  Data-driven testing (DDT)  is a software testing methodology that essentially separates the test data from the test script, which lends itself particularly well to conceptualize an automation framework, in which testing is triggered on sets of data sources.  This automated framework resolves the lengthy and time-consuming process of creating individual test cases for each data set.  Traditionally, the test data sources are stored in files or databases, but with today’s modern computing infrastructure, we want to look at event streams as the data source.  One advantage of leveraging on event streams is the ability to ingest high volumes of data with low latency in the response time.  This talk will introduce you to event streaming and processing, and, among a wide range of systems that it is suited for, we will focus on how it can help you build systems for doing specific QA tasks such as performance and volume/spike testing.   We will work on building a simple test data pipeline using a powerful open source streaming platform called Apache Pulsar.

Exploring Test Data Flow using Apache Pulsar

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

"Could is everywhere”, the demanding for it is booming going along with 5G application throughout the world. How will the next-gen DC transform to adapt to the challenges which are continually rising?
This presentation will cover:
1.        New Challenges for Data Center
2.   Next-Generation Smart Data Centers
3.   iPower & iCooling@AI
4.   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

Moderated by: 
Josh Rubens, Director, Cloud Solutions Group
 
Panelists:
--Tom Leydon, CIO, Woods Bagot
--Andrew Moloney, Chief Marketing Officer, SoftIron

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

Cloud computing will disrupt how enterprise IT services are generated delivered. To ensure that this new operational model is successful, enterprise IT has to re-think job roles, organizations, finances, and the IT supply-chain. This panel of industry experts will explore what IT domains will need to evolve, and where in the process the changes will become necessary.

Organizing for the Cloud: New Skills, Ops and Finances of the Cloud

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Organizing for the Cloud: New Skills, Ops and Finances of the Cloud

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