Dive into the concept of semi-supervised learning and explore its principles, applications, and potential to revolutionize how we approach data-hungry ML tasks.
AI and LLMs streamline user story creation, optimize backlog, and predict trends, improving agile product development speed, relevance, and user engagement.
Learn how to create a job in Jenkins, build jobs, and pipeline projects. Explore the Jenkins Freestyle Project, and combine any SCM with any build system.
Explore eBPF, a technology that executes codes in the Linux kernel and is necessary for K8s network observability/monitoring, auditing, and traffic routing.
Learn why you should consider using Buildpacks to improve your container workflow, from automated dependency management to enhanced security and optimization.
Building a Meal Planning Bot to Deep Dive into LLMs, Product Development, and Cloud Skills. From Data Generation, to Model Training, to Deployment and App building
Learn how to handle schema versioning and updates in Kafka and other event streaming platforms without using schema registries through custom deserializers.
Explore different approaches to move the pluggable database from source to target database such as plug/unplug, data pump, refreshable clone and DBCA relocate.
Use a combination of real-time speech-to-text, natural language to SQL, and Gen AI, to talk with your data just as you would to a person and in real-time.
Learn how serverless architecture, with its event-driven architecture, auto-scaling ability, and security walls, frees devs from infrastructure management woes.
Learn how to scale Prometheus using Thanos for long-term storage, global view metrics, and improved performance in large-scale Kubernetes environments.
Unravel the complexities of streaming data joins in this guide covering key concepts, design, and best practices for optimal real-time data enrichment.