AI-powered service management for IT and enterprise teams
Enterprise-grade ITSM, for every business
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Build on Google Cloud with $300 in Free Credit
New to Google Cloud? Get $300 in free credit to explore Compute Engine, BigQuery, Cloud Run, Vertex AI, and 150+ other products.
Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
...Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device.
A slightly modified base package Slackware image suitable for VM performance testing.
Project Goals:
Development of production testing protocols
Base Image
Base +Apache
Base + MySQL
Base + node.js
Base + AoE
Standard Full Slackware Current VM image
The goal of the Slackless project is really two-fold. To provide high quality virtual images of the original Slackware operating system suitable for use and testing in virtual environments in an effort to introduce users new to...
Real time micro benchmark multi-lingual suite (RTMB) provides a good way to measure the deterministic quality of hardware, an operating system, or a Java VirtualMachine. RTMB consists of benchmarks in C, C++ and Java
Project Bonneville is a suite of Java micro-benchmarks for revealing JVM performance trends and providing insight into coding Java programs for speed. It includes an analysis of its results, and discusses their application to real-world projects.
Access Google’s most capable multimodal models. Train, test, and deploy AI with 200+ foundation models on one platform.
Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
This project is designed to help programmers understand the resource utilization of their code in the Java VirtualMachine and provide real time feedback via a GUI interface.