Name: Energy Efficient Data Centres: The Consultant's Perspective
Start: 2012-04-27T12:00:00Z
End: 2012-04-27T12:46:26.000Z
Location: BrightTALK
Rating: 3.5

The Enterprise Architecture channel  presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.

Organizations are adopting containers at an increasingly rapid rate. In fact, there are few organizations that haven’t implemented containers in their environment today. DevOps expect a flexible, seamless development, deployment and orchestration experience. With platform agnostic capabilities and a stateless container design, Kubernetes streamlines these processes – and with the contribution of persistent, cloud native storage, stateful information becomes reality along with advanced storage capabilities including features such as snapshots, rollbacks, etc.

Storage implications for Kubernetes will be the topic of this live webcast where storage experts from the Storage Networking Industry Association (SNIA) and Kubernetes experts from the Cloud Native Computing Foundation (CNCF) will discuss: 

• Key storage attributes of cloud native storage for Kubernetes
• How do we use cloud native storage in Kubernetes environments?  
• Workloads and real-world use cases

This webcast will help you better understand and address storage and persistent data challenges in a Kubernetes environment.

Kubernetes is Everywhere – What About Cloud Native Storage?

Edge is the new frontier of compute and data in today’s world, driven by the explosive growth of mobile devices, work from home, digital video, smart cities, and connected cars. An increasing percentage of data is generated and processed at the edge of the network. With this trend comes the need for faster computing, access to storage, and movement of data at the edge as well as between the edge and the data center. Attend this SNIA Networking Storage Forum webcast on June 15, 2022 where we will discuss: 

• The increasing need to do more at the edge across compute, storage and networking
• The rise of intelligent edge locations
• Different solutions that provide faster processing or data movement at the edge
• How computational storage can speed up data processing and transmission at the edge
• Security considerations for edge processing 
 
We look forward to having you join us to cover all this and more. We promise to keep you on the edge of your virtual seat!

Storage Life on the Edge: Accelerated Performance Strategies

As covered in our first webcast “SmartNICs and xPUs: Why is the Use of Accelerators Accelerating,” we discussed the trend to deploy dedicated accelerator chips to assist or offload the main CPU. These new accelerators (xPUs) have multiple names such as SmartNIC, DPU, IPU, APU, NAPU.  

This second webcast in this series will cover a deeper dive into the accelerator offload functions of the xPU. We’ll discuss what problems the xPUs are coming to solve, where in the system they live, and the functions they implement, focusing on:
Network Offloads  
• Virtual switching and NPU 
• P4 pipelines
• QoS and policy enforcement
• NIC functions
• Gateway functions (tunnel termination, load balancing, etc)
Security  
• Encryption
• Policy enforcement
• Key management and crypto
• Regular expression matching
• Firewall
• Deep Packet Inspection (DPI)
Compute  
• AI calculations, model resolution
• General purpose processing (via local cores)
• Emerging use of P4 for general purpose
Storage  
• Compression and data at rest encryption 
• NVMe-oF offload
• Regular expression matching
• Storage stack offloads

xPU Accelerator Offload Functions

What do you think is a more secure way of securely removing data from a hard drive - putting it through a shredder, or doing an instant secure erase? The answer might surprise you!  Companies go to great lengths to secure their data and prevent confidential information from being made available to others. When a company is done using its ICT equipment, including the storage device, it is important to render the data inaccessible. Sanitization is process or method to render access to target data on storage media infeasible for a given level of effort. SSDs and HDDs have various security features that make this sanitization quick, secure, and verifiable. We will go over the different types of sanitization defined in the new IEEE P2883 Specification for Sanitization of Storage, including “clear”, “purge”, and “Destruct”. We will cover easy ways to perform these methods in mainstream storage interfaces like SATA, SAS, and NVMe. We will cover some recommendations for the verification of sanitization to ensure that devices are meeting stringent requirements.

Selecting the proper form of media sanitization with data sensitivity also needs to be weighed with the consequences of physical destruction. Circular business models are essential for the ICT industry, as a large percentage of energy and carbon emissions come from manufacturing products. Circular business models design waste out, keep materials in use as long as possible, and restore environmental systems in the process. Physical destruction, quite obviously, prevents further use phases for a device. We will cover the purge technique for media sanitization that can be quick, secure, reliable, and verifiable - and most importantly keeps the device in one piece.

Is the Data Really Gone?  A Primer on the Sanitization of Storage Devices

Are you exhausted trying to keep up with all the new terminology around data lake architecture that supports your BI solutions? What exactly is a data mesh? Do I now need a data fabric? Or...maybe a lakehouse? Or just a data lake? 

Join Dr. Ries as he walks through today's data architecture design decisions -- and there is no shortage of them. This webinar will help you understand what is the best path forward for your BI challenges, so that you can confidently break down silos and democratize your data. The talk will also discuss how machine learning can be utilized in data architecture and dashboarding solutions.

How To Choose a Data Warehousing Solution in An Ever-Changing Data Landscape

Data Democratization is the final frontier of employee empowerment. Citizen developers are a widely discussed topic, but what about citizen analysts? Analytics can be an indispensable asset from the C-suite all the way to the frontline worker. But there are several challenges executives and non-technical users face in leveraging data for decision-making. How can AI help in democratizing data and transform your organization into a data-driven organization?

Join AI industry analyst Kashyap Kompella in this fast-paced webinar on the current state of data democratization, its challenges, and the best practices of leveraging AI.

Key Takeaways

• Executive overview of the what, why, and how of data democratization.
• Rationale and role of AI for data democratization, including:
o How AI can drive adoption of self-service analytics;
o How AI can enhance the user experience for analytics applications;
o How AI can improve data protection and privacy practices
• Use cases of examples of AI for data democratization.

Role of Artificial Intelligence in Data Democratization

In today’s connected world, access  to clean and relevant data faster is the key to extracting value out of it. The relevance of data is also understood better and faster if it is accessed by the SMEs who are experienced in the area eg: like sales data to be handled and analysed by Sales department data analysts. In such a scenario, having a centralised data science team rather throttles the monetization possibilities of data. Hence it makes sense to make data accessible to all business areas where they can combine with their targets and extract insights faster. On the flip side, it is also essential to have clean and smooth data which may have to be combined with other formats. This falls squarely in the realm of data science and engineering. We discuss here how to democratize data optimally so that we get clean data as well as it can be utilised by SMEs.

Democratizing Data Stack , enabling full value of Data Strategy

Managing Resiliencies for edge data-centre pods (& Clusters)

The exponential growth of data and cloud services is driving demand for new data centers and upgrades to existing centers. But this growth cannot be sustained without considering the need to develop efficient Data Centers: they have to consume less energy and water and increasingly need to rely on green energies.
This presentation will investigate system engineering approaches which break the siloes between the different domains (building / cooling system / racks…). We highlight  system level models that leverage simulation to find the best design compromise and reach sustainability targets.
Bringing smart automation to this approach is key to efficiently optimize and test several rack layouts and configurations while monitoring KPIs.
To further improve on sustainability and energy efficiency, 3D simulation solutions can complement 1D methods, delivering the needed detail and granularity in results to drive impactful changes.

From Excessive Data Center Energy to Modular, Generative & Sustainable Designs

Delivering microservices apps across clouds is not easy. The digital supply chain that underpins any app can be super complex and eye watering. 
The full cloud native stack can encompass physical and software abstraction, security, observability , on-premise, in the cloud and at the edge. 
Multiple teams manage this stack to bring all these components together to ensure a delightful user experience. 
In this session we will explore some of the trends, challenges and ultimate solutions when delivering the Full Cloud Native Stack.

Full Cloud Native Stack

Many enterprises today have large set of applications – whether Telco or otherwise – running on on prem infrastructure along with public cloud.  They are feeling need of moving towards cloud native architecture – driven due to various factors.  This webcast will talk about various factors to be considered while driving this cloud native transformation. Various risk factors calls out for a pragmatic approach to be adopted to move quickly as well as safely and to reach there on time.

Pragmatic way to accelerate cloud native transformation

Data Democratization is the final frontier of employee empowerment. Citizen developers are a widely discussed topic, but what about citizen analysts? Analytics can be an indispensable asset from the C-suite all the way to the frontline worker. But there are several challenges executives and non-technical users face in leveraging data for decision-making. How can AI help in democratizing data and transform your organization into a data-driven organization? 

Join AI industry analyst Kashyap Kompella in this fast-paced webinar on the current state of data democratization, its challenges, and the best practices of leveraging AI. 

Key Takeaways

• Executive overview of the what, why, and how of data democratization.
• Rationale and role of AI for data democratization, including:
       o   How AI can drive adoption of self-service analytics;
       o   How AI can enhance the user experience for analytics applications;
       o   How AI can improve data protection and privacy practices 
• Use cases of examples of AI for data democratization.

As applications continue to increase in complexity and users demand more from their workloads, there is a trend to again deploy dedicated accelerator chips to assist or offload the main CPU.  These new accelerators (xPUs) have multiple names such as SmartNIC, DPU, IPU, APU, NAPU. How are these different than GPU, TPU, CPU? xPUs accelerate and offload functions including math, networking, storage, cryptography, security, and management. This webcast will cover key topics about, and clarify questions surrounding, xPUs, including… 

1. xPU Definition: What is an xPU (SmartNIC, DPU, IPU, APU, NAPU), GPU, TPU, CPU? A focus on high-level architecture and definition of the xPU.

2. Trends and Workloads: What is driving the trend to use hardware accelerators again after years of software-defined everything? What types of workloads are typically offloaded or accelerated?  

3. Deployment and Solutions: What are the pros and cons of dedicated accelerator chips versus running everything on the CPU?   

4. Market landscape Who provides these new accelerators—the CPU, storage, networking, and/or cloud vendors?  How do cost and power factor in?  
 
On May 19th, join us for Part 1 of this xPU Series to get the answers to these questions. Part 2 of this series will take a deep dive on accelerator offload functions and Part 3 will focus on deployment and solutions.

SmartNICs to xPUs – Why is the Use of Accelerators Accelerating?

While traditional approaches to data integration provide much needed aid in efforts to synchronize data across silos, this delivery is just table stakes now. To maximize and deliver scalable value of data investments, organizations should employ a semantics-based approach. Semantic frameworks embed human understanding of concepts and relationships with your data assets, helping your systems grow smarter and better equipped to discover rich linkages and reveal non-obvious relationships. Through semantic frameworks, business and technical users can have access to a semantically enriched, highly linked and available store of firm data, upon which they can perform smart data analysis and leverage a reusable framework for deploying machine learning models. 

In addition to explaining and making the case for a semantic integration framework, Reclassify AI will cover key use cases and the successful deployment of semantic data integration for AI-enabled decision-making.

The Future of Decision-Making: Human-Powered AI

Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models and a common file format to enable AI developers to use models with various frameworks, tools, runtimes, and compilers. 

This session demystifies ONNX and highlights its role in accelerating AI adoption among enterprises.

The Role of ONNX in Accelerating Enterprise AI Adoption

The growing value of data has been understood for some time, yet many organizations still struggle to build, run and evolve their data capabilities and services for full utilization. These challenges are compounded by mounting business needs and expectations, and tighter competition within industry sectors.  

Data operations (DataOps) is therefore becoming much more than just "lights on", it is foundational for driving evergreen business value. Reimagining your DataOps strategy is a critical component to define and deliver your organization's Enterprise Data Strategy. While companies have customized their individual operations approach, certain factors remain consistent across the most successful insight-driven organizations. Their approach to DataOps is driven by a clear and actionable mission, value-oriented governance framework, and a comprehensive suite of enabling capabilities that drive high quality and high value execution.   

Join Deloitte to hear how reimagined DataOps is a critical success factor to unlocking the full value of your data-driven business strategies, and how new technologies and shifting operating models are transforming the delivery of DataOps services.

Reimagining and optimizing DataOps to drive evergreen business value

Data and digital operations fuel business success. But as infrastructure environments scale and become more distributed, complexity mounts and often cripples operational efficiency. 

In this keynote presentation, Scott Sinclair, Practice Director for Cloud, Infrastructure and DevOps at ESG, will explore why IT leaders need to modernize their approach to IT infrastructure by leveraging advantages in integrated intelligence and automation. With a wealth of innovation in this space, learn what IT and application development leaders are doing to minimize scaling burden on the pace of their operations to ultimately deliver success in digital business.

Accelerate IT Operations and App Development Across Distributed Infrastructures

Host: Caroline Hitchins, datacentre.me

Moderator: Mark Acton, Uptime Institute

Andrew Snowsill, Ostler Consulting 
Nick Vaney, Red
Shaun Smith, Sorrento Data Centres

Energy Efficient Data Centres: The Consultant's Perspective

Data Center Management

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practices for avoiding virtual machine sprawl and other common virtualization pitfalls as well as how you can make the most of your virtualization environment.

Virtualization

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Cloud Computing

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Energy Efficient Data Centres: The Consultant's Perspective

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