Cloud Computing

A software framework for distributed storage that facilitates using a network of many computers to solve problems involving massive amounts of data and computation using MapReduce programming model

A framework for creating scalable machine learning algorithms, designed to handle big data processing across distributed computing environments

A distributed processing system utilized for big data workloads, supporting batch processing, stream processing and machine learning, with in-memory caching and optimized query execution for large datasets

Provides cost estimates for cloud infrastructure changes before deployment, integrates with engineering workflows, and enforces FinOps best practices

Provides real-time cost visibility and insights for teams using Kubernetes, helping to continuously reduce cloud costs

A platform enabling infrastructure as code using familiar programming languages to build, deploy, and manage cloud infrastructure

An infrastructure as code tool that enables the definition, provisioning, and management of cloud and on-premises resources using configuration files

Backup and restore Kubernetes resources and persistent volumes, perform disaster recovery, and migrate cluster resources across environments