Jack Poller delves into the complexities of DevOps, examining whether it is feasible to remove operations from the DevOps model without compromising the methodology’s integrity and effectiveness. He explores the integration and critical interdependencies between development and operations teams, highlighting how both are essential for streamlined workflows and optimized performance. Poller concludes that a successful DevOps strategy necessitates a balanced collaboration between the two, as the synergy between development and operations is fundamental to achieving rapid and stable service delivery. Read more in this LinkedIn Pulse article inspired by the Heroku presentation at AppDev Field Day 2!
AI Doesn’t Make App Dev Any Better
Generative AI is transforming many industries where people create content. Software development is no different; AI agents are in almost every development platform. But is AI improving application development and software quality? This episode of the Tech Field Day Podcast looks at some of the issues revolving around AI and App Dev with Alastair Cooke, Guy Currier, Jack Poller, and Stephen Foskett. The ultimate objective of a software development team is to deliver an application that fulfills a business need and helps the organization be more successful. An AI that can recommend basic code snippets doesn’t move that needle far. More sophistication is needed to get value from AI in the development process. The objective should be to have AI handle the repetitive tasks and allow humans to focus on innovative tasks where generative AI is less capable. AI agents must handle building tests and reviewing code for security and correctness to enable developers to concentrate on building better applications that help organizations.
The Evolving Landscape of AI Infrastructure: Powering the Future with Cisco
In this LinkedIn Pulse article, Jack Poller discusses the transformation of AI infrastructure, emphasizing Cisco’s pivotal role in addressing the escalating computational demands driven by the growing adoption of AI technologies. Through an exploration of Cisco’s latest innovations, Poller highlights how Cisco is equipping businesses to effectively manage and harness the enormous data generated by AI applications, fundamentally enhancing operational efficiency and innovation. The discussion underscores the importance of robust infrastructure in unlocking AI’s potential, positioning Cisco’s solutions at the forefront of this technological evolution. This article follows Cisco’s presentation at AI Field Day 5.
There are Too Many Clouds
Public Cloud computing is a large part of enterprise IT alongside on-premises computing. Many organizations that had a cloud-first approach and are now gaining value from on-premises private clouds and seeing their changing business needs leading to changing cloud use. This episode of the Tech Field Day podcast delves into the complexity of multiple cloud providers and features Maciej Lelusz, Jack Poller, Justin Warren, and host Alastair Cooke, all attendees at Cloud Field Day. The awareness of changing business needs is causing some re-thinking of how businesses use cloud platforms, possibly moving away from using cloud vendor specific services to bare VMs. VMs are far simpler to move from one cloud to another, or between public cloud and private cloud platforms. Over time, the market will speak and if there are too many cloud providers, we will see mergers, acquisitions or failures of smaller specialized cloud providers. In the meantime, choosing where to put which application for the best outcome can be a challenge for businesses.
The Rise of AI Networking: How Arista is Evolving Data Center Infrastructure
In this LinkedIn Pulse article, Jack Poller discusses AI networking. He focuses on Arista’s evolving role in data center infrastructure, discussing how their cutting-edge technologies are setting new industry standards. Poller highlights Arista’s integration of AI into their networking solutions, enhancing automation, analytics, and performance, fundamentally transforming data center operations. This evolution is poised to meet the growing demands for more efficient and robust data handling capabilities in increasingly AI-driven environments. This article was written following Arista’s presentation at AI Field Day 5.
Demystifying Elastic: From Keyword Search to AI-Powered Insights
In this LinkedIn Pulse article, Jack Poller provides a comprehensive overview of how Elastic has evolved from a straightforward keyword search tool to a sophisticated platform leveraging AI for advanced data insights. He delves into the key features and functionalities that enable Elastic to handle complex data analytical tasks efficiently. This article is an essential read for IT professionals aiming to enhance their data management and analysis strategies using Elastic’s cutting-edge technologies. Read more in this article, inspired by the Elastic presentation at AI Field Day 5.
Can You Deploy Large-Scale AI On-Premises?
Jack Poller’s LinkedIn Pulse article explores the viability and considerations of deploying large-scale AI systems within an on-premises infrastructure. He provides a detailed analysis of the technological, operational, and financial factors involved in the implementation of such systems. Furthermore, Poller outlines potential challenges and solutions, highlighting the importance of solid planning and execution for successful on-premises AI deployments. This article was inspired by the VMware presentation at AI Field Day 5.
Enfabrica: Accelerating AI GPU Communication
Enfabrica is on the forefront of enhancing AI capabilities through their innovative approach to GPU communication. Their technology significantly accelerates the data transfer between GPUs, a critical aspect for improving the efficiency and performance of artificial intelligence systems. By optimizing the communication pathways, Enfabrica enables more complex and rapid AI computations, pushing the boundaries of what these technologies can achieve. Read more in this article by Jack Poller, who learned about Enfabrica during their AI Field Day 5 presentation.
Building Smarter AI: A First Look at Integrail
In this LinkedIn Pulse article, Jack Poller explores the strides taken by Integrail in the realm of artificial intelligence. He considers how Integrail is pushing the boundaries of AI by enhancing its capacity for intelligent decision-making through advanced algorithms and data integration techniques. His analysis not only highlights the technical advancements of Integrail’s AI technology but also discusses its potential impact on industries looking to leverage smarter AI solutions for complex problem-solving scenarios. This article was inspired by the Integrail presentation at AI Field Day 5.
How the #@!$% Do You Optimize Your Massive AI Network?
In this LinkedIn Pulse article, Jack Poller considers the complexities of optimizing large-scale AI networks. He discusses various strategies and tools that can be employed to enhance the efficiency and performance of these sophisticated systems. Poller highlights the importance of a methodical approach, including fine-tuning data management and algorithm optimization, to handle the challenges posed by vast AI infrastructures. This article was inspired by Keysight’s presentation at AI Field Day 5.
Can You Make Edge Computing at Scale Effortless?
This LinkedIn Pulse article by Jack Poller explores the potential of scaling edge computing effortlessly. He delves into the challenges associated with deployment, management, and security at the edge, considering the implications for large-scale operations. Poller also examines how advancements in automation and integrated technologies could simplify the process, making scalable edge computing more attainable for businesses. This article was written following ZEDEDA’s presentation at Edge Field Day 3.
Can You Gain Advantage With Software-defined Edge?
In this LinkedIn Pulse article, Jack Poller explores the strategic benefits of adopting software-defined edge computing as presented by VMware at Edge Field Day 3. He emphasizes how this approach enhances performance by reducing latency and allowing for more efficient data processing closer to the source of data generation. Poller also discusses the potential for software-defined edge to provide businesses with a competitive edge by improving responsiveness and enabling more sophisticated data-driven decision-making.
Hardware Still Matters at the Edge
Hardware innovation at the edge is driven by diverse and challenging environments found outside traditional data centers. This episode of the Tech Field Day podcast features Jack Poller, Stephen Foskett, and Alastair Cooke considering the special requirements of hardware in edge computing prior to Edge Field Day this week. Edge locations, including energy, military, retail, and more, demand robust, tamper-resistant hardware that can endure harsh conditions like extreme temperatures and vibrations. This shift is fostering new hardware designs, drawing inspiration from industries like mobile technology, to support real-time data processing and AI applications. As edge computing grows, the interplay between durable hardware and adaptive software, including containerized platforms, will be crucial for maximizing efficiency and unlocking new capabilities in these dynamic environments.
Open Source Helps Small Businesses Modernize Applications
Open-source platforms and managed services are a huge help when it comes to modernizing applications, especially for smaller businesses. This episode of the Tech Field Day podcast, recorded at AppDev Field Day, includes Stephen Foskett and Paul Nashawaty discussing the challenges and solutions for small businesses in modernizing applications.
GenAI is Revolutionizing the Enterprise
Generative AI will revolutionize enterprise IT, but not in the way people expect. This episode of the Tech Field Day podcast includes Stephen Foskett discussing the impact of GenAI with Jack Poller, Calvin Hendryx-Parker, and Josh Atwell at AppDev Field Day. The discussion centered around the potential impact of generative AI on enterprises, debating whether it will significantly transform business operations or merely offer incremental improvements. Generative AI is still in its infancy and may not yet provide revolutionary benefits, but there is great potential for AI in automating tasks and enhancing efficiencies despite challenges in implementation and validation. We must be realistic when it comes to the application of AI in enterprises, and it is important to understand the real capabilities and limitations, and the role of existing vendors in integrating AI functionalities into their products.
Can You Duplicate the CSPs Server Architecture On-Premises?
Jack Poller considers the feasibility of replicating Cloud Service Providers’ (CSPs) server architecture in on-premises environments in this article about the Oxide Computer Company presentation at Cloud Field Day 20. His analysis uncovers the challenges and potential benefits of adopting cloud-like architectures outside of traditional CSP infrastructures. Poller’s article invites IT decision-makers to consider the convergence of cloud efficiency and on-prem data control for their organizations’ future scaling and evolution.
App Modernization, a Measured Exercise or a No-Brainer?
Sulagna Saha reports on the delegate roundtable on the topic of app modernization lead by Paul Nashawaty at AppDev Field Day ADFD1 last month. Is modernization a judicious strategic move or an obvious necessity? Her article unpacks the complexities and risks associated with updating legacy applications, alongside the potential benefits of agility, scalability, and improved user experiences. Through this discourse, Sulagna aims to enlighten IT decision-makers on the careful deliberation required when contemplating the modernization of their application landscape.
Is Google Cloud the Right Solution for Your Modern Infrastructure?
Jack Poller provides a critical analysis of Google Cloud’s suitability for modern infrastructure needs, posing key questions for organizations to consider. He delves into the strengths and capabilities of Google Cloud, aligning them with the strategic goals and requirements of contemporary businesses. Poller’s article serves as a guide for decision-makers evaluating cloud platforms, ensuring they select a solution that best supports their infrastructure transformation. Read more about the kickoff to Google’s presentation to Cloud Field Day 20!
Morpheus Data: Platform Thinking for Infrastructure Teams
In this LinkedIn Pulse article, Jack Poller discusses Morpheus Data’s approach to ‘platform thinking’ for infrastructure teams, which is transforming how organizations manage and streamline their IT operations. He addresses the effectiveness of Morpheus Data as a unified orchestration platform that enables teams to control cloud costs, automate workflows, and modernize applications. Poller’s Cloud Field Day 20 article sheds light on the value of adopting a comprehensive, platform-centric perspective that empowers infrastructure agility and efficiency.
Is AI the Spark That Ignites a New Networking Revolution?
Jack Poller examines the potential for Artificial Intelligence to be the catalyst for a transformative overhaul in the networking sector. In his article, he explores the influence of AI on network infrastructure, suggesting a radical shift towards more intelligent, autonomous, and adaptive systems. Poller posits that AI could indeed be the spark that not only enhances current networking models but also propels the industry into a new era of innovation. This LinkedIn Pulse article followed the Juniper Networks presentation at Cloud Field Day 20.
