Letter D Journey

The LLM Evaluation Framework

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Production-ready platform for agentic workflow development.

DeepFlow leverages eBPF to collect signals such as performance metrics, distributed tracing, and CPU & GPU profiling. Its goal is to provide zero-code observability for complex cloud-native and AI applications, particularly those involving LLM training and inference using frameworks like PyTorch.

Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Dalec provides a declarative format for building system packages and containers from those packages in a secure way for supply chain security.

Client-Only Developer Tool for Cloud-Native Development with Kubernetes

An open standard defining containerized development environments that enables developer tools to simplify and accelerate workflows

The Open Source control plane for self-managed, BYOC, and on-prem deployments. Everything you need to distribute applications to self-managed customers out of the box.

Open source Software delivery workflow for Kubernetes

Databend is a modern Elasticity and Performance cloud data warehouse, activate your object storage for real-time analytics. Databend Serverless at https://app.databend.com/

A data change processing platform to simplify change-driven systems that need to detect, evaluate, and react to data changes quickly and efficiently at scale.

Deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepFlow leverages eBPF to collect signals such as performance metrics, distributed tracing, and CPU & GPU profiling. Its goal is to provide zero-code observability for complex cloud-native and AI applications, particularly those involving LLM training and inference using frameworks like PyTorch.

Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Open-source, AI-native OpenTelemetry APM platform. OTLP trace and metrics ingest, service topology, and multi-agent SRE investigation that cites real spans. Self-hosted via Docker or Kubernetes.

Stands up a three-VM Kubernetes development cluster on the desktop using VirtualBox, by running a single Bash script.

Delivers efficient, stable, and secure data distribution and acceleration powered by P2P technology, with an optional content‑addressable filesystem that accelerates OCI container launch.

The toolkit to pack, ship, store, and deliver container content

OpenID Connect (OIDC) identity and OAuth 2.0 provider with pluggable connectors

DatenLord is a cloud-native distributed storage platform, aiming to meet the performance-critical storage needs from next-generation cloud-native applications.

Direktiv is a cloud-agnostic, serverless flow engine that capitalizes on microservices, containers and custom code to create efficient processes.

Deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Managed language