CDviz Description
CDviz is a community-driven observability platform focused on CI/CD that adheres to the CDEvents standard, which is supported by the CD Foundation and aims to enhance software delivery processes. It gathers events from various sources, including GitHub, GitLab, ArgoCD, and Kubernetes, using webhooks and built-in integrations, normalizing the data to conform to the CDEvents standard, and storing it in PostgreSQL with TimescaleDB for efficient querying.
Users can access the data directly through SQL queries from any reporting tool, internal developer platform, or Grafana dashboard, with pre-configured Grafana dashboards available for key metrics such as DORA metrics, deployment timelines, artifact tracking, pipeline efficiency, and incident management.
In contrast to traditional polling methods, CDviz adopts a push event-driven approach, facilitating real-time observability and the ability to automate workflows triggered by events from the same data stream. Furthermore, the platform ensures that all data remains within your own infrastructure, eliminating concerns about vendor lock-in.
CDviz is available under the Apache License v2, allowing for free self-hosting. Currently, there is also an enterprise plan in beta that provides professional support at no cost. This makes CDviz an attractive option for organizations seeking flexibility and robust CI/CD observability solutions.
CDviz Alternatives
NeuBird AI is a Production Ops Platform designed for ITOps, SRE, and DevOps teams running production cloud environments. It uses agentic AI to move operations from reactive incident response to proactive, autonomous production management.
Despite significant investment in monitoring and observability tools, teams still face alert noise, slow root cause analysis, and costly incidents. NeuBird AI solves this by continuously analyzing telemetry across cloud services, applications, and infrastructure to prevent issues, resolve incidents faster, and optimize operations.
Prevent incidents before they happen
NeuBird AI detects early signals of degradation, configuration drift, and anomaly patterns across metrics, logs, traces, and change events. Teams can identify and address issues 30 to 60 minutes before user impact while reducing alert noise by more than 78 percent.
Resolve incidents in minutes
When incidents occur, NeuBird AI automatically investigates across Azure Monitor, Amazon CloudWatch, logs, metrics, traces, and recent changes to identify root cause in minutes. AI driven triage, correlation, and runbook generation reduce mean time to resolution by up to 60 percent while minimizing the need for large war room responses or bridge calls.
Optimize cost, performance, and operations
NeuBird AI continuously analyzes cloud environments to uncover cost savings, performance issues, and gaps in observability. It identifies right sizing opportunities, missing telemetry, and repetitive operational tasks, helping teams reclaim more than 200 engineering hours per month.
Built for production cloud operations
NeuBird AI integrates with AWS services including CloudWatch, as well as Kubernetes and Azure Monitor, and tools like Datadog, Splunk, and PagerDuty.
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Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises.
Grafana Cloud is the open observability cloud, designed to help engineering teams observe everything and solve anything. Built on open source, open standards, and open ecosystems, it unifies metrics, logs, traces, and profiles in a single platform for full-stack visibility across applications, infrastructure, and digital experiences.
At the core is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support allow teams to ingest telemetry from virtually any environment, while hundreds of integrations connect existing tools and data sources without costly rip-and-replace migrations.
Grafana Cloud combines powerful analytics with AI-driven observability. Grafana Assistant helps engineers investigate issues, explore telemetry, and troubleshoot faster. Adaptive Telemetry identifies the data that matters most and aggregates the rest, helping organizations reduce telemetry costs while preserving valuable insights
.
With solutions for Kubernetes monitoring, application observability, digital experience monitoring, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers a complete observability platform that scales with your business.
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Phlare
Grafana Phlare allows you to consolidate continuous profiling data while ensuring high availability, multi-tenancy, and reliable storage solutions, which enhances your insight into application resource usage at a granular level.
As an open-source database, Grafana Phlare offers rapid, scalable, and efficient storage alongside querying capabilities for profiling data.
The inception of Phlare took place during a company-wide hackathon at Grafana Labs, and the project was officially introduced in 2022 at ObservabilityCON.
Its primary objective is to facilitate large-scale continuous profiling for the open-source community, empowering developers with a deeper comprehension of their code's resource consumption.
This initiative ultimately aids users in evaluating their application performance and fine-tuning their infrastructure expenditures, leading to more efficient application management.
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TimescaleDB
TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.
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Pricing
Pricing Information:
Open Source is free,
Subscription for commercial support and complementary integration
Subscription for commercial support and complementary integration
Free Version:
Yes
Company Details
Company:
Alchim312
Year Founded:
2025
Headquarters:
France
Website:
cdviz.dev
Media
architecture
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