Kubernetes

OpenAI’s GPT-5 Launch Set for August 2025 with Advanced Reasoning and Multimodal Features OpenAI is poised to release its next-generation generative AI model, GPT-5, in August 2025, promising significant advancements in reasoning, multimodal capabilities, and autonomous task execution. The new model is expected to feature a unified architecture, streamlining the user experience by eliminating the need to switch between different models for various tasks. GPT-5 is also anticipated to have a greatly expanded context window and introduce video processing capabilities, enabling more complex and coherent interactions. The release is seen as a major step towards more intuitive and powerful AI, with specialized versions planned for enterprise, real-time, and low-resource environments. This launch will intensify the AI competition with other major developers like Google. ...

Google’s Gemini 2.5 and OpenAI’s GPT-5 Push AI Reasoning to New Heights Google DeepMind has officially launched its most advanced reasoning AI model, Gemini 2.5 “Deep Think,” now integrated into the Gemini app. A specialized version of this model demonstrated superior problem-solving skills by achieving a gold-medal score at the International Mathematical Olympiad. In parallel, OpenAI is reportedly preparing to launch its next-generation model, GPT-5. This model is rumored to be a versatile, multi-modal AI that integrates specialized sub-models to enhance its performance across a wide variety of tasks. These developments signal a significant leap forward in the reasoning and problem-solving capabilities of artificial intelligence. ...

Rajasthan Government to Introduce Policies on AI, Gaming, and Data Centers The government of Rajasthan in India is set to launch three new policies focused on artificial intelligence, gaming, and data centers. The Rajasthan AI Policy 2025 will promote the ethical and inclusive use of AI and establish a Centre of Excellence to support AI startups and research. An AVGC-XR Policy will support the animation, visual effects, gaming, and extended reality sectors, with plans for four Atal Innovation Studios backed by a Rs 1,000 crore budget. Additionally, a Data Centre Policy 2025 aims to create a secure ecosystem for private data centers to attract investment. ...

Recently I’ve joined a project with real time machine learning inference. The project was set to run on Kubernetes 1.12 on AWS while development and training was made on-premise, and some were made using Docker. When the application was deployed to production we started to see poor performance and began to investigate. It was weird, on the developers machines and in docker everything worked faster. After debugging it for a while I understood that the jvm doesn’t see all available cores inside the pod. while searching for some solutions I found that when running java 8 with and adding some extra JVM_OPTS along with all the rest of the opts it would solve my issue. So I’ve added it to the deployment.yaml file and deployed it again. ...

When you choose to run your kubernetes cluster on AWS, there are 2 easy ways: The almost valina way using Kops The amazon way using EKS The common thing between both ways, is using Amazon ECR for storing the docker images and have a worry free push, pull to and from Amazon ECR which requires a IAM Role that allows the worker nodes pulling the images saftly. Amazon ECR Amazon Elastic Container Service is one of the cheapst ways to store docker images and safer due to the nature of Amazon IAM. To pull from ECR you first need to authenticate using you AWS credentials, or role, get a token, do docker login to your ECR with the server address, and pull from the repository the docker image. ...

Overview In this post, I am going to describe how to maintain access to Amazon AWS EKS - Kubernetes cluster with only attaching an IAM Role as an instance profile, without configuring access keys on the EC2 instance. The benefit of course is not storing any Amazon IAM credentials on the EC2 instance, having your infrastructure more secure. Use Case: Jenkins CI/CD Pipeline In my use case, I wanted to have my Jenkins CI server have access to EKS cluster for adding continuous delivery using Jenkins declarative pipeline to my continuous integration process. By doing that, I achieved a full CI/CD process for all the microservices that Jenkins handled. ...