Name: Maximizing Edge Computing Reliability and Resiliency
Start: 2024-11-05T15:00:00Z
End: 2024-11-05T15:00:24.000Z
Location: BrightTALK

Scale Computing Platform brings simplicity, high availability and scalability together, replacing the existing infrastructure and providing high availability for running VMs in a single, easy-to-manage platform. Run your applications in a fully integrated platform. Regardless of your hardware requirements, the same innovative software and simple user interface give you the power to run infrastructure efficiently at the edge.

In this insightful video from Scale Computing, Kris Schulze, Director of Product Marketing, and Mitchell Etchason, Senior Product Manager, delve into the critical aspects of safeguarding sensitive information from damage, loss, or corruption. They highlight the immense importance of data for decision-making and innovation in business, and the severe consequences downtime or data loss can have on operations.

Learn about the key data protection features that Scale Computing readily employs, including preventing damage, restoring data swiftly, and ensuring accessibility only to authorized users. Kris Schulze and Mitchell Etchason also explore the threats posed by cybercriminal activities and human error, emphasizing the financial, reputational, and operational impacts of data breaches.

Discover effective strategies like data classification, encryption, continuous monitoring, and robust backup plans, all designed to fortify your data defenses

Scale Computing // Data Protection Suite: How to Maximize Your Investment

Join Jeff Ready, CEO and co-founder of Scale Computing, as he delves into the underlying strategy of Broadcom and its ramifications for IT leaders. Tracing his journey from a budding entrepreneur at age 11 to the founding of Scale Computing in 2007, Jeff shares how his personal values shape the long-term strategy at Scale Computing, contrasting this with the private-equity approach of Broadcom. Jeff explores why the VMware acquisition happened while revealing business insights, life lessons, and a vision for the future of technology. Expect a lively and enlightening discussion filled with memes, baby photos, and supervillains as you gain insights into what the next 10 years of IT innovation may hold.

Beyond VMware: Unpacking Broadcom’s Strategy & Envisioning the Future of IT

You might be perfectly satisfied with your VMware investment's price, management overhead, and reliability. If so, it's all good.

Or you might be wondering if there is an alternative. You might blanch at the cost of licenses, be nervous about the impact of the Broadcom acquisition, or maybe you just want something that’s less of a struggle to maintain and patch with exponentially less downtime.

If that describes you, then join our Regcast to hear Scott Mann of Scale Computing talk about what his company has to offer. The company has surveyed VMware users, and Scott will tell Tim Phillips what they revealed about the true price customers are paying to maintain legacy virtualization deployments. He’ll also share how Scale Computing’s products could be a balm for your VMware irritation. You will learn:

- The gripes of VMware users
- Scale Computing’s alternative, now and for the future
- How to make the transition

The Register: Is it time to quit VMware?

As more VMware partners and their customers find themselves at the mercy of Broadcom’s new and, in many cases, damaging policies, they’re on a desperate hunt for alternatives. The search can be overwhelming. Dozens of vendors are coming to the forefront and pitching themselves as VMware replacements.

But how do you know those companies will stick around for the long haul, and stay committed to the channel and its end users? How does their technology interoperate with those entrenched VMware stacks? How well do they support their partners? And what is their vision for cloud computing over the next decade? The last thing channel partners need is to team with a VMware replacement provider that’s only going to cause another round of upheaval and frustration.

Attend this webinar to learn why Scale Computing is different, and why the company offers a safe landing for alienated VMware partners.

Why Alienated VMware Partners Need to Know About Scale Computing

Autonomous Infrastructure Management Engine (AIME) is the orchestration and management engine that powers SC//HyperCore. In this presentation, Scale Computing will highlight the AIOps functionality, demonstrating how AIME drastically reduces the amount of effort required to deploy, secure, manage, and maintain on-premises and edge computing infrastructure.

Recorded in San Francisco as part of Edge Field Day on February 22, 2023.

Introducing Autonomous Infrastructure Management Engine (AIME)

Scale Computing has built an ecosystem of products around SC//Platform that allows IT, DevOps, and others to continue to use the tooling they have grown accustomed to when deploying SC//Platform at the edge. In this presentation, Scale Computing will demonstrate using their Red Hat-certified Ansible Collection with tools such as Avassa, IBM Edge Application Manager, Microsoft Azure, Google Anthos, and more.

Recorded in San Francisco as part of Edge Field Day on February 22, 2023.

Container Management and Orchestration with SC//Platform from Scale Computing

A new feature of SC//Fleet Manager, Zero-Touch Provisioning (ZTP) allows IT teams and integrators to quickly, easily, and remotely stage clusters for installation, providing the shortest time from pilot to production. In this presentation, Scale Computing will provide a live demonstration of ZTP with the help of the Edge Field Day delegates, highlighting the time-savings historically associated with Day-0 tasks.
Recorded in San Francisco as part of Edge Field Day on February 22, 2023.

Introducing Zero-Touch Provisioning (ZTP) in Scale Computing Fleet Manager

SC//Platform combines the best of cloud and data center with the unique needs of on-premises, local computing. Its expandable, fault-tolerant architecture, automated intelligence for self-healing, and remote management with cloud-like orchestration makes SC//Platform the perfect solution for edge computing deployments.  In this presentation, Scale Computing will introduce SC//Platform with a live demonstration of SC//Fleet Manager and SC//HyperCore.
Recorded in San Francisco as part of Edge Field Day on February 22, 2023.

Intro to SC//Platform: Complete Platform for Applications at the Edge

Scale Computing is a leader in edge computing, virtualization, and hyperconverged solutions. In this presentation, viewers will learn more about Scale Computing and SC//Platform, a complete platform for running applications at the distributed edge with all the software, hardware, and services needed.
Recorded in San Francisco as part of Edge Field Day on February 22, 2023.

Who is Scale Computing?

Reduce costs and data complexity with your current IT team through automation.

Organizations are constantly battling with the demands of growth and doing more with less. In fact, according to Enterprise Strategy Group, 53% of survey respondents said their IT environment is more complex or significantly more complex than it was two years ago. Something has to give for organizations to achieve their business KPIs. By reducing cost and complexity leveraging your existing team may be the answer. Leveraging automation to achieve tasks may overcome the IT skill gap issues as well as accelerate the use of cloud adoption.  In this webinar, we will cover these topics and more such as:

•Managing IT skill gap issues on-prem and using zero touch provisioning

•Exploring how AIops within the Hypercore framework can provide observability, auto-provisioning and prevent future failure

•Accelerate cloud adoption of any resources outside the primary data center

IT Teams Need a Break: Automating Edge

You’re constantly evaluating new technologies to accelerate your organization's success and the benefits they could bring. In tech decisions, you are often forced to respond reactively. Emergency arises. Solution assessed. Solution implemented.

Instead of looking in, take a look at where business is done - at the edge. Edge computing captures and facilitates all of that and moves the business world forward at a never-before-seen pace.

The ever-expanding expectations of our digital world demand that more applications run outside the cloud or data center, close to where they are used by people, devices, and IoT technologies. But managing the sprawl of complex infrastructure to run applications locally in geographically distributed locations is an escalating burden on IT departments. If you need to run applications outside the data center and cloud but with cloud-like simplicity and performance or want to know how automation can help, join this session to learn how running applications at the edge is easier than you think.

Mitch Etchason, Product Manager at Scale Computing, discusses optimizing IT infrastructure at the edge to help you think about where you are today, and where you could be tomorrow.

Expanding to the Edge: Next-Generation IT Infrastructure

Organizations need application portability for flexible development and deployment strategies that can keep up with today’s increasingly unpredictable environments, from natural disasters to rapid ransomware attacks. Organizations that have adopted cloud-native strategies often have an easier time moving applications compared to traditional applications. However, increasing data complexity can still strain network and infrastructure capabilities, causing some organizations to also turn to edge computing in order to ease bandwidth and latency issues.

Any data management strategy needs to be carefully planned by skilled workers, yet many organizations don’t have the expertise available to manually manage cloud and edge locations. Limited IT staff, increasing data latency, data compliance regulations, and budgeting can all delay transformation. For professionals looking to reduce strain on IT teams, join host Paul Nashawaty and guests from Scale Computing and Intel as they discuss cloud and edge solutions to achieve application portability as well as:

- How to reduce costs and data complexity with your current IT team through automation
- How to utilize edge computing to address common data management concerns and needs
- Learn how Intel and Scale Computing deliver a unified infrastructure platform to run applications and process data on-premises

Organizations can avoid traditional data center pitfalls such as bandwidth limitations and
network disruptions through cloud migration and edge computing. However, ongoing data
center growth can lead to latency and increasing costs as organizations move away from
core data centers to alternative, smaller locations. As organizations process increasing
amounts of data, they not only need to consider data storage solutions but secure their IT
infrastructure against ongoing storage growth.

While organizations can scale and manage data storage through cloud and edge computing,
there are other infrastructure challenges organizations must address, from limited IT staff to
securing decentralized data. Join senior ESG analyst Paul Nashawaty and Craig Theriac,
VP of Product Management at Scale Computing as they discuss data storage and
management through the adoption of edge and cloud infrastructure, as well as:

- How organizations are utilizing their hybrid cloud application delivery systems
- Addressing low latency as well as potential connectivity and outages in infrastructure
- How Scale computing can streamline the hybrid cloud adoption process from the
data center to edge to cloud

The Future of Data Management: Edge, Cloud, and More

Edge Computing Expo Keynote speaker, Jeff Ready presents on how IT leaders in all industries are using edge computing to meet their business needs. Which kind of infrastructure platform is needed to be successful? And how to reduce management costs by 60%-80% with self-healing automation and intelligence.

Edge Computing: What Customers are Doing Today and Will Be Doing Tomorrow

The ever-expanding expectations of our digital world demand that more applications run outside the cloud or data center, close to where they are used by people, devices, and IoT technologies. But managing the sprawl of complex infrastructure to run applications locally in geographically distributed locations is an escalating burden on IT departments. If you need to run applications outside the data center and cloud, but with cloud-like simplicity and performance, join this webinar to learn how running applications at the edge is easier than you think.
During this webinar, you’ll learn about what it takes to manage applications at scale and how IT Managers can reduce maintenance time by 50% or more. You will also gain insights into Scale Computing’s significant software platform updates, allowing IT leaders to easily manage from 1 to over 50,000 clusters.

Run Applications Anywhere with Cloud-Like Simplicity and Performance

Traditional application hosting strategies are increasingly redundant. As user expectations for instant access and seamless experiences grow, businesses are facing challenges like increased latency and security risks that hinder performance and harm customer satisfaction. 

Edge computing emerges as a transformative strategy that addresses these challenges by bringing computing resources closer to the end-user. This decentralization reduces latency and opens new avenues for enhanced security and scalability, allowing enterprises to host their applications more effectively alongside existing on-premises and cloud infrastructures.

In this session, Harri Gollipalli (Senior Software Development Manager at PayPal) will dive into the organizational approach to adopting edge computing. Join the session to get practical strategies for deploying edge solutions, enhancing security frameworks, and significantly improving application performance—all critical elements for staying competitive in a rapidly changing market.

Key Takeaways
- Enhanced Security: Learn how edge computing can reinforce your enterprise's security posture.
- Efficient Deployment: Gain insights into deploying applications at the edge for optimal performance.
- Improved Performance: Explore techniques to reduce latency and elevate the overall customer experience.
- And more...

Strategic Edge Computing: Elevating Security and Performance for Enterprises

As organizations embrace the cloud-native edge, the convergence of digital and physical infrastructures has created both unprecedented opportunities and challenges. Security, traditionally discussed in fragmented pieces, now requires a holistic, value-driven approach. This session explores how concepts of "accelerated readiness" in cloud-native edge environments can comprehensively address risk management while streamlining compliance.

We will delve into the critical role that infrastructure modernization plays in closing the gap between regulatory requirements and operational efficiency, turning the security challenges into realized business value. Oftentimes, the edge serves as the nexus where digital command and control meet physical assets.   In this evolving area, achieving operational excellence demands a robust governance, risk, and compliance (GRC) strategy.

By focusing on edge opportunities, this session will explore a high-level and cohesive approach that addresses risk management framework requirements, accelerates compliance, and ensures that the edge platform - along with the business operations it supports - has the best possible security posture.

Accelerated Readiness: Securing the Cloud Native Edge

As the digital landscape expands, edge computing emerges as a pivotal technology, pushing data processing to the frontier of the network to drive real-time insights and actions. However, the integration of edge computing with cloud infrastructure presents unique challenges and opportunities, especially in terms of security and seamless operations. This presentation aims to explore edge computing innovations, focusing on the strategies and technologies that ensure secure and fluid integration with cloud services.

This session will start by examining the current state of edge computing and its integral role in supporting IoT, AI, and real-time analytics applications across various industries. We will navigate through the architectural considerations for integrating edge computing with cloud platforms, highlighting the importance of creating a cohesive environment that leverages the strengths of both technologies.

We will then address security in edge-to-cloud integration. We will dissect the unique security challenges posed by distributed computing models and discuss strategies to safeguard data integrity, confidentiality, and availability. This includes the adoption of advanced encryption methods, secure access controls, and robust identity management systems, as well as the implementation of consistent security policies across the edge and cloud.

Join us in exploring how your organization can navigate the complexities of edge-to-cloud integration, harnessing the power of edge computing innovations to drive competitive advantage in a connected world.

Bridging the Gap: Enhancing Security in Edge-to-Cloud Integration for Next-Generation Computing

The rapid expansion of edge computing has introduced new cybersecurity challenges, particularly in decentralized and distributed environments. This presentation explores the emerging role of Generative AI (GenAI) in addressing these challenges and potentially reshaping the landscape of edge security.

We'll examine the current state of threat detection and response in edge computing, discussing its unique vulnerabilities and the limitations of traditional security approaches. The session will then delve into how GenAI technologies are being applied to enhance real-time threat detection, enable predictive analytics, and facilitate automated responses.

Through a series of case studies and theoretical models, we'll explore the potential benefits and limitations of GenAI in edge security. We'll discuss the broader implications of this technology for the future of cybersecurity, including ethical considerations and potential areas for further research and development.

Key Takeaways:
- Understand the specific security challenges unique to edge computing environments.
- Gain insights into the current and potential applications of GenAI in cybersecurity.
- Evaluate the effectiveness of GenAI-powered solutions in real-time threat detection and response.
- Hear real-world case studies of GenAI in action across various industries.

About the Speaker
Inna Ushakova is a pioneering tech entrepreneur who has built two successful and recognized companies, Scalarr and AI EdgeLabs, in the fields of AI-driven fraud prevention and cybersecurity.

Leveraging GenAI for Advanced Threat Detection and Response in Edge Computing

According to IDC, worldwide spending on cloud computing is projected to surpass $1.35 trillion by 2027. As these costs continue to rise, corporate CIOs and CFOs are collaborating to assess the use of cloud technologies in their business growth strategies. As Akamai discovered through Project Cirrus, it is possible to realize savings by undertaking a comprehensive cloud services reassessment and applying core principles to optimize cloud services. Join us for an upcoming webinar where we will discuss how Akamai leveraged distributed cloud computing to:

• Lower cloud costs by 40% in one year
• Improve performance by over 40% faster queries
• Facilitate transition from cloud-friendly to cloud-native

During the discussion, Akamai leaders will help attendees better understand their cloud utilization and start to gain control over cloud spending, while improving performance and agility.

The Cloud Spend Conundrum: Gain Control of Ballooning Cloud Costs

In today’s rapidly evolving digital landscape, organisations are increasingly harnessing the power of edge computing to drive innovation and maintain a competitive advantage. By bringing computational resources closer to the source of data generation, edge computing minimises latency and reduces bandwidth use, leading to more efficient operations.

As AI-driven applications proliferate, the adoption of edge computing is set to accelerate due to its ability to synthesise and analyse data at unprecedented speeds. This trend underscores the importance of understanding and embracing edge strategies to stay at the forefront of technological advancement.

About this webinar, our experts will cover:
• Business drivers and technical requirements for edge computing
• Traditional solutions vs. novel approaches
• Deploying, managing, and protecting applications at the edge
• Practical approaches to Edge AI and federated learning
 
Join us to gain actionable insights and solutions for effectively managing the edge ecosystem.

AI on the Edge

Edge computing plays a crucial role in industrial automation, particularly in enhancing communications. Here’s how:

1. REDUCED LATENCY:  By processing data closer to the source, edge computing minimizes the need to send data to a centralized cloud or data center. This significantly reduces latency, allowing for near-real-time decision-making and control.

2. IMPROVED RELIABILITY: Industrial environments often have connectivity challenges, such as network interruptions or bandwidth limitations. Edge computing ensures that essential operations can continue even if the connection to the central cloud is disrupted, enhancing system reliability and uptime.

3. EFFICIENT BANDWIDTH USAGE: Edge computing reduces the amount of data that needs to be transmitted to the cloud by filtering, aggregating, and analyzing data locally. Only the most relevant or summarized data is sent, which optimizes bandwidth usage and reduces communication costs.

4. ENHANCED SECURITY: Sensitive data can be processed and stored locally at the edge, minimizing the risk of exposure during transmission to the cloud. This decentralized approach can improve data security and compliance with regulations, especially in industries with stringent data protection requirements.

5. SCALABILITY: As industrial operations grow and more devices are connected (through IoT expansion), edge computing can help manage the increased data load without overwhelming central systems. It allows for scalable deployment of resources where they are needed most, at the edge of the network.

6. SUPPORT FOR REAL-TIME ANALYTICS AND AI: Edge computing enables the deployment of AI and machine learning algorithms directly at the production site. This capability supports real-time analytics and decision-making, improving process efficiency and productivity without relying on distant cloud resources.

Tune into this session to learn more.

The Value of Industrial Communications in Edge Computing

As the edge-cloud continuum reshapes distributed computing, the ability to dynamically shift computation and data processing between the edge and the cloud is crucial. This flexibility optimizes performance and efficiency for real-time applications, AI orchestration, and mission-critical workloads. However, as edge-to-cloud deployments grow, so do the demands for customizable solutions that meet security, scalability, and performance requirements.

Join Wind River Linux Product Management experts Lexi Schroeder and Derek Straka in a deep dive into the evolving landscape of edge-to-cloud systems. Discover a new, adaptable enterprise-ready Linux derivative with modern tools to create a unified tech stack, streamline maintenance and reduce operational overhead. 

Key Takeaways:
• Get introduced to a new, freely available open-source Linux solution designed for consistency across various devices and environments.
• Learn about the latest requirements and optimizations for Linux platforms tailored for enterprise-wide use cases.
• Explore how to accelerate innovation in distributed networks to meet the changing needs of edge to cloud systems. 

Don’t miss this opportunity to gain actionable insights and strategies to optimize your edge-to-cloud deployments.

Unlocking the Full Potential of Cloud-to-Edge with a New Linux Approach

As organizations grow more reliant on real-time decision-making and data processing, edge AI has emerged as a critical technology to drive business value by enhancing speed, automation, and intelligence at the edge. Yet, the road to successfully deploying AI at the edge is complex,
 
This session will take you through a comprehensive exploration of edge AI, focusing on practical business outcomes and real-world use cases across industries like healthcare, manufacturing, and smart cities. 
 
By the end of this session, you will not only gain the technical knowledge to optimize edge AI for real-time data processing and decision-making but also understand how to drive tangible business value—from improving operational efficiency to reducing latency and delivering measurable ROI on your AI investments.
 
3 Key Takeaways:
1. Drive Business Outcomes with Edge AI: Learn how to harness the power of edge AI to deliver measurable business value, such as improved operational efficiency, cost reduction, and faster decision-making.
2. Overcome Industry-Specific Challenges: Explore solutions to key industry challenges, from regulatory compliance in healthcare to cost optimization in manufacturing, ensuring your edge AI strategy aligns with business goals.
3. Implement Scalable Edge Infrastructure: Gain actionable insights into building a scalable edge-to-cloud architecture, managing data flows securely, and deploying AI models in real-time with a future-proof infrastructure.
 
Who Should Attend: This session is ideal for CIOs, CTOs, and IT leaders focused on leveraging edge AI to drive business outcomes, enhance real-time decision-making, and optimize infrastructure. It also caters to IT architects, engineers, AI/ML practitioners, and industry professionals in sectors like healthcare, manufacturing, and IoT, who are looking for practical strategies to overcome specific industry challenges while deploying scalable, secure edge AI solutions.

Maximizing Business Impact and ROI with AI at the Edge: Harnessing Analytics, CI/CD, and Scalable Infrastructure

In today's rapidly evolving technological landscape, the convergence of DevOps and Edge Computing presents a powerful opportunity for innovation, particularly in distributed environments. This session explores how organizations can leverage the combined strengths of DevOps and edge computing to drive faster, more reliable, and secure deployments at the edge. Edge computing enables data processing closer to where it is generated, and when combined with DevOps practices such as automation and continuous integration, it opens the door to transformative possibilities across industries.

Key aspects covered include the low latency and real-time processing capabilities of edge computing and how DevOps can streamline infrastructure management at the edge. The session also addresses the challenges of deploying applications in resource-constrained, distributed environments and offers best practices to overcome these obstacles. Real-world case studies in smart cities, industrial IoT, and retail will demonstrate the practical benefits of DevOps at the edge.

Key Takeaways:
- Synergy of DevOps and Edge Computing.
- Overcoming challenges in edge environments.
- Real-world applications and future trends.

DevOps Meets the Edge: Accelerating Innovation in Distributed Environments

Innovations in Edge Computing

Discover the keys to maximizing reliability and resiliency in edge computing environments. As organizations increasingly rely on edge computing for critical operations, ensuring the robustness of these systems becomes imperative.

This webinar offers deep insights into the latest techniques and technologies for enhancing edge computing reliability and resilience. Craig Theriac, Scale Computing's VP of Product Management will share practical approaches to mitigate risks, optimize performance, and fortify infrastructure against potential disruptions.

Join us to gain invaluable knowledge and actionable strategies to bolster your edge computing capabilities.

Maximizing Edge Computing Reliability and Resiliency

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Maximizing Edge Computing Reliability and Resiliency

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Scale Computing