Blog
10/21/2026
Organizations can gain deeper and richer insights when they bring together all their relevant data of all structures and types and from all sources to analyze.
Serverless computing allows you to build and run applications and services without thinking about servers. With serverless computing, your application still runs on servers, but all the server management is done by AWS. Using AWS and its Serverless Platform, you can build and deploy applications on cost-effective services that provide built-in application availability and flexible scaling capabilities. This lets you focus on your application code instead of worrying about provisioning, configuring, and managing servers.
In today's technology-driven world, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as the power couple that continues to revolutionize industries and reshape our daily lives. With breakthroughs in natural language processing, computer vision, and deep learning, AI and ML are propelling us into a future where intelligent systems can perceive, learn, and make decisions like never before. In this blog, we will explore the dynamic landscape of AI and ML, their key advancements, and their impact on various sectors
Resizing an EBS volume to a larger size is a straightforward process in the AWS console. However, reducing the size of an EBS volume is not supported directly. Unlike the resizing to larger size functionality, there is no built-in feature that allows you to decrease the size of an EBS volume through the AWS console
In Kubernetes, scaling your cluster to meet the needs of your applications is crucial for ensuring high availability and performance. One way to optimize the costs of your cluster is by using KEDA (Kubernetes-based Event Driven Autoscaler) and Karpenter.
10/13/2026
Artificial intelligence is changing how businesses build and operate modern applications. As organizations deploy machine learning models, generative AI applications, and AI-powered services at scale, cloud infrastructure needs to handle demanding workloads efficiently. This is where Kubernetes and AI are becoming increasingly important.
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