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Nov 29, 2024 | 
medium.com | Abhishek Gupta
Abhishek Gupta·Follow8 min read·--Overwhelmed by the incredible reach and engagement I’ve experienced over the past few days on LinkedIn, Medium, and my YouTube channel. A heartfelt thank you to everyone for the appreciation and encouraging messages! You’ve truly motivated me to write this Part 2 article. Reiterating my credibility to write this part 2 blog:I’ve been through the trenches.
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Nov 27, 2024 | 
datacenterdynamics.com | Abhishek Gupta
nVent is pleased to announce its row-based liquid-to-air (LTA) heat rejection unit as a standard offering supporting high-performance cooling solutions with greater efficiency. For accelerated computing, nVent’s LTA solution plays a critical role in liquid cooling platforms, circulating liquid through racks in a closed loop and rejecting heat from chips. For many years, nVent has worked with cloud service providers on built-to-spec solutions for liquid cooling, including custom LTA.
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Nov 26, 2024 | 
dzone.com | Abhishek Gupta
Kubernetes has become the de facto standard for container orchestration, providing robust tools for deploying, scaling, and managing containerized applications. While it offers a powerful platform for managing applications across multiple nodes, the initial setup can be daunting. Bringing up a multi-node cluster introduces additional layers of configuration that must work together in harmony.
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Nov 25, 2024 | 
dzone.com | Abhishek Gupta
As containerized applications continue to gain popularity, managing persistent storage in these ephemeral environments has emerged as a significant challenge. Kubernetes addresses this challenge with two key abstractions: Persistent Volumes (PVs) and Persistent Volume Claims (PVCs). These abstractions separate storage concerns, such as provisioning, lifecycle management, and capacity, from the application logic, allowing developers to focus on building scalable and resilient applications.
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Nov 19, 2024 | 
dzone.com | Abhishek Gupta
Kubernetes is a powerful container orchestration platform, but to harness its full potential, it's important to understand its core components, with pods and services playing foundational roles. In this article, we'll dive into what they are and how they work together to expose and manage access to applications running within a Kubernetes cluster. What Is a Pod? Pods are the smallest deployable units of computing that you can create and manage in Kubernetes.
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Nov 11, 2024 | 
datacenterdynamics.com | Abhishek Gupta
As anyone who works in or follows the data center industry knows, increasing demand for artificial intelligence (AI) and machine learning (ML) applications is fueling investments in data centers around the world. AI and ML are also driving data center managers to reconsider their cooling designs to handle the high heat loads of next-generation chips. Data center managers have to design their infrastructure to support high heat loads while still being able to scale their operations to meet demand.
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Nov 11, 2024 | 
asmepublications.onlinelibrary.wiley.com | Abhishek Gupta |Bhawana Tiwari |Sakshi Verma |Komal Maheshwari
1 WHAT PROBLEM WAS ADDRESSED? Posterior palatal seal (PPS) is an area located posteriorly in the maxillary edentulous jaw that plays an important role in the retention of maxillary complete denture. Accurate visualization, demarcation and recording of PPS require pronunciation of specific sounds by patients and are quite challenging for dental students as it lies on soft tissue and varies from patient to patient.
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Nov 8, 2024 | 
hackernoon.com | Abhishek Gupta
A streaming system, or stream processing system, processes data in real-time as it is generated or received. Unlike batch processing, which handles data in large, discrete chunks, streaming systems manage data as a continuous flow, allowing for immediate analysis and action. Bounded data represents finite datasets with a clear beginning and end, and is often more suitable for batch processing (e.g. files, databases, historical records).
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Nov 8, 2024 | 
hackernoon.com | Abhishek Gupta
In today's data-driven world, the ability to process and analyze vast amounts of information in real-time is not just an advantage—it's a necessity. This is where stream programming comes into play. It offers a paradigm shift from traditional batch processing methods, enabling businesses and developers to handle data streams as they occur, providing timely insights and actions. Let's delve into what stream programming is, its benefits, and how it's shaping the future of data processing.
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Nov 8, 2024 | 
hackernoon.com | Abhishek Gupta
Apache Flink provides a powerful engine to process data in real time. If we can answer what, where, when and how of data processing we can build a very robust stream processing pipeline using Apache Flink and Apache Beam. Whatlike what is the output of the computation, are we doing sum, min, max, average etc or a complex transformation within the pipeline. Complex computation could be building histogram, training machine learning models, building a recommendation engine.
