Release Notes
Each release of Causely includes new features, bug fixes, and performance improvements. This page provides highlights of the most recent releases.
Have ideas, questions, or feedback? Please reach out to us at community@causely.ai.
July 2025
Version 1.0.83Improved Root Cause Views
We've redesigned our Root Cause views to help you quickly identify and address the most urgent service-impacting issues. The new interface prioritizes critical root causes based on their impact scope and severity, making incident triage more efficient than ever.
API Documentation Now Available
Our comprehensive GraphQL API documentation is now available! Programmatically access Causely's root cause analysis engine, query defects, and integrate with your CI/CD pipelines.
Smarter Post-Deployment Analysis
Causely now provides enhanced visibility into code change-related root causes with improved clarity around version change events:
- Immediate Detection: Catch resource usage changes right after a deployment to identify regressions faster
- Precise Correlation: Version timestamps are now directly correlated with resource metrics like CPU, memory, and latency
- Before vs. After Insights: Get proactive visibility into what changed pre and post-deployment
- Automatic Code Change Attribution: Causely automatically infers if a root cause stems from a code change, helping teams quickly connect symptoms to recent deployments
This feature is particularly valuable for understanding the real performance impact of new releases on your services.
Better Visibility Into Asynchronous Data Flows
Understanding complex message flows across your distributed system just got easier with our improved data flow graphs:
- End-to-End Tracing: Follow messages from publish to RPC method or HTTP path, even across multiple service hops
- Topic Filtering: Isolate behavior for specific customers or queues by filtering data flows by topic
- Causal Integration: These improvements are fully integrated into our causal engine, enhancing root cause accuracy for asynchronous systems
Did you know?
Scopes in Causely allow you to define and manage custom subsets of your environment's topology. As Causely automatically discovers the full topology of your environment, it can present a rich but potentially overwhelming set of entities—services, infrastructure components, and identified problems. Scopes help you focus on the specific subset of data that matters most to your role, responsibilities, or current investigative tasks.
Learn more about scopes and how to use them in our documentation.
Bug Fixes and Minor Improvements
- Database Performance: Added indices to active actions and increased max DB pool connections for better performance
- Slack Integration: Enhanced support for users in multiple Slack teams
- Kubernetes Improvements: Added option to disable entity log collection from Kubernetes and improved pod metadata for network endpoints
- Alert Management: Added alerts as context in symptoms and implemented continuous sender for alert manager notifications
- Log Management: Optimized log storage by limiting to 1000 log lines per evidence
- UI Improvements: Fixed time duration format display and headline database scanning
- Root Cause Quality: Filtered out root causes with only low probability symptoms and fixed flapping issues due to equal probabilities
- Monitoring Enhancements: Added support for symptom monitoring from Prometheus and improved topology scraper metrics for SLOs
- SQL Parsing: Enhanced SQL query parsing for better database performance analysis
- Email Notifications: Improved weekly email summary delivery system
June 2025
Version 1.0.81Ask Causely: SQL Query Analysis & Service Graphs
Ask Causely has leveled up. This release also comes with additions to answering questions about incidents and metrics, it now helps you to analyze and troubleshoot your slowest SQL queries and provides automatic visualization for query topology and service graphs.
Want to enable Ask Causely? Reach out to your Causely team to activate early access.
Grafana Plugin is Now Publicly Available
We're excited to officially launch the Causely plugin for Grafana! Now anyone can bring Causely's root cause analysis directly into their existing dashboards with no extra context-switching required!
Latest Highlights:
- Root Cause Panel: See urgent issues and causal summaries in place.
- Root Cause Headlines: Clear, contextual insights without leaving Grafana.
- Unhealthy Services Panel: Quickly identify degraded services and their downstream impact at a glance.
This marks a major step in bringing Causely's causal intelligence to where your teams already work. With the new plugin, Grafana becomes not just a place for metrics, but a place for action. We'll continue to expand the plugin with even more capabilities in upcoming releases.
Enriching Root Cause Analysis with Trusted Signals from Prometheus, Alertmanager, and Checkly
Causely now ingests alerts from Prometheus, Alertmanager, and Checkly—bringing the signals you already trust into our causal engine. These alerts are automatically mapped to known symptoms in your environment, giving incidents immediate structure, historical continuity, and causal depth.
- Prometheus + Alertmanager: Pull alerts in real-time and map them to symptoms in your knowledge graph—enhancing situational awareness and accelerating investigations.
- Checkly: API check failures are now linked to the services they impact and surfaced as active symptoms, giving synthetic monitoring real operational context.
- Symptom Activation/Deactivation: Alerts can now directly toggle symptom states, powering more dynamic, accurate, and automated RCA workflows.
With these integrations, Causely doesn't just observe alerts—it interprets them in context. You're extending your causal graph with trusted telemetry, making every incident easier to understand, triage, and resolve.
Did you know?
Causely automatically discovers and visualizes your service dependencies—no manual config required. We analyze runtime communication patterns (HTTP, gRPC, SQL, Kafka, etc.) to give you a live, layered map of your architecture—from services to infra to messaging layers—enabling more accurate root cause analysis and impact prediction.
Bug Fixes and Minor Improvements
- Weekly Email Summaries: Automatically receive a weekly summary of incidents and RCA results to stay aligned.
May 2025
Version 1.0.79New Landing Page: See What's Most Interesting in Your Environment
The new Causely landing page gives you a high-signal, low-noise view of your Root Cause Headlines in your environment over the last 24 hours.
Whether it's a sudden spike in latency, a critical root cause affecting your services, or key SLO risks, we now highlight it the moment you log in.
This helps teams prioritize actions based on impact.
Ask Causely: Your Incident Copilot in Causely and Slack (Early Access)
Introducing Ask Causely, your LLM-powered assistant built for real-time operational insight. Whether you're in Slack or in the Causely UI, Ask Causely helps you resolve incidents faster and improve service health.
What it can do:
- Respond to users' natural language questions, like "Which services are currently impacted by active root causes?"
- Get context-aware answers: **Root cause + symptoms + suggested next steps **
- Integrated into both Slack and Causely Web UI
Want to enable Ask Causely? Reach out to your Causely team to activate early access.
Simplified Navigation: Focused on What Matters Most
We've rethought the structure of Causely's interface to spotlight our core value: real-time, automated analysis of what's causing service latency and errors.
What's improved:
- Streamlined layout with **fewer distractions **
- Root causes now front and center
- A new getting-started checklist to help you activate value faster
This refined navigation ensures that your attention goes straight to high-impact issues.
Bug Fixes and Minor Improvements
- Smarter Root Cause Alerts : We now notify you only for root causes that impact multiple services beyond just SLO violations—reducing noise and helping you prioritize real incidents.
- Refined Symptom Deactivation Logic: Error symptoms are now tied to real request activity, preventing premature deactivation or activation in idle services.
- Per-Service Thresholds: Teams can now configure latency and error thresholds for individual services, replacing the default ML-based learned thresholds. This allows for more fine-grained alert tuning and better alignment with service-specific expectations.
- Splunk OnCall Integration: Causely now supports Splunk OnCall notifications, expanding your ops toolchain with automated incident routing.
- AWS Discovery & Metrics Improvements: We've added pagination for AWS ALB discovery, improved tag handling, and now set ALB latency directly from observed values for faster, more accurate symptom detection.
Older Releases
To get details on older releases, please reach out to us at community@causely.ai.