Grepr

Grafana is an open-source observability and data visualization platform for querying, visualizing, alerting on, and understanding metrics, logs, and traces from multiple data sources. It provides client-side graphs and panel plugins, reusable dashboards with template variables, ad hoc metric queries and drilldowns, log search with preserved label filters, and alert rules that can send notifications to systems such as Slack, PagerDuty, VictorOps, and OpsGenie. Queries can combine different data sources in the same graph, including Prometheus, Loki, Elasticsearch, InfluxDB, PostgreSQL, and other custom data sources. The project is distributed under AGPL-3.0-only, with Apache-2.0 exceptions documented in its licensing files.

Gravitee is an API gateway presented as an infrastructure layer for governing AI agents and their API access. It applies identity-based permissions to block destructive tool calls and data exfiltration, rate-limits repeated requests, rejects oversized prompts, serves repeated questions from a semantic cache, routes requests across LLM providers, trims MCP tool lists, and provides telemetry across agents. The video also presents it as a way to manage shadow AI activity and reduce dependence on a single AI provider.

ResolveAI is an AI SRE platform for operating production systems, providing managed on-call and SRE agent teams for alert triage, incident investigation, root-cause analysis, recurring issue remediation, and operational automation. Its agents investigate across code, infrastructure, telemetry, observability data, knowledge bases, and production context supplied through Hivemind, which tracks production state, alerts, recent changes, on-call questions, and incident context. In a demonstrated workflow, a Grafana alert received through Slack triggers an investigation that builds a causal chain of evidence and rules out competing explanations before proposing or taking governed actions. ResolveAI agents can mitigate and restore services, escalate to engineers with context, supply production context to coding agents, support custom SRE agents for workflow-specific automation, and integrate with existing engineering tools. The platform combines model orchestration, context engineering, causal reasoning, governed actions, learning systems, evaluations, and domain models with frontier models.

Jaeger is an open-source distributed tracing platform for monitoring and troubleshooting workflows in complex distributed systems. It maps requests and data as they move across services, helping identify performance bottlenecks, trace errors to their root causes, and analyze service dependencies. Jaeger can receive OpenTelemetry trace data, including traces exported from MLflow's OpenTelemetry-compatible tracing setup.

Groq (Groq Inc.) is a U.S.-based company that designs AI accelerator hardware and provides a cloud-based inference platform. The company builds a tensor-streaming architecture and ships hardware and software for high-throughput, low-latency machine learning inference. Its public site describes a "neocloud" offering for inference and infrastructure.