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Beta: LLM Observability is now GA
Reliability & SLOs

Define reliability.
Defend the budget.

Availability, latency, error-rate, and custom-query SLOs computed straight from your traces and metrics. Multi-window burn-rate alerts protect the error budget, and AI authors SLOs from plain English or auto-discovers them across your services.

Availability & latency SLOsError budgetsBurn-rate alerts7/14/28/90-day windowsNL→SLO authoringSLO auto-discovery
telemetry.aiaxoniq.net/slo
STREAM LIVE
Automated Error Budget & Burn-Rate Matrix
Health: 99.98% / Target 99.95%
API Availability
99.99%
Budget Left:84.2%
Checkout Latency
p99 < 150ms
Budget Left:92.6%
Payment Success
> 99.90%
Budget Left:78.4%

Deep Dive

Core Capabilities & Architecture

Explore how SLOs & Error Budgets instruments, processes, and correlates high-cardinality telemetry at scale.

Define

Every SLI, from the data you already have

Create availability, latency, error-rate, or custom-query SLOs computed directly from your traces and metrics. Pick a target and a window: aiAxonIQ measures the rest.

  • Availability, latency, error-rate, and custom-query SLI types
  • Set your own target on 7, 14, 28, or 90-day windows
  • SLIs computed from real trace and metric data, no extra agents
  • Template-based SLO definitions for consistency across teams
Interactive Engine
Define Telemetry Engine
Real-time Stream
Capability 1
Availability, latency, error-rate, and custom-query SLI types
Capability 2
Set your own target on 7, 14, 28, or 90-day windows
Capability 3
SLIs computed from real trace and metric data, no extra agents
ClickHouse 24.8 · OTLP 1.3 Native100% Ingestion Parity
Defend

Burn-rate alerts that page before the breach

Fast-burn and slow-burn multi-window alerts watch your error budget in real time. Get paged when you’re spending budget too quickly: not after the SLO is already blown.

  • Multi-window burn-rate detection for fast and slow burns
  • Live error-budget tracking with remaining-budget views
  • Burn-rate alerts wired into Slack, PagerDuty, and webhooks
  • See exactly which requests are eating the budget
Interactive Engine
Defend Telemetry Engine
Real-time Stream
Capability 1
Multi-window burn-rate detection for fast and slow burns
Capability 2
Live error-budget tracking with remaining-budget views
Capability 3
Burn-rate alerts wired into Slack, PagerDuty, and webhooks
ClickHouse 24.8 · OTLP 1.3 Native100% Ingestion Parity
Author

Describe it in English. We’ll write the SLO.

Type “checkout requests under 300ms over a 28-day window” and our NL→SLO parser builds the config with your target. Or let auto-discovery scan your services and suggest availability and latency SLOs backed by seven days of measured evidence.

  • Natural-language to SLO config in one step
  • Auto-discovery scans services and proposes SLOs
  • 7-day measured SLI evidence on every suggestion
  • Feasibility scoring so targets are realistic, not aspirational
Interactive Engine
Author Telemetry Engine
Real-time Stream
Capability 1
Natural-language to SLO config in one step
Capability 2
Auto-discovery scans services and proposes SLOs
Capability 3
7-day measured SLI evidence on every suggestion
ClickHouse 24.8 · OTLP 1.3 Native100% Ingestion Parity

Built for every team that cares about reliability

One platform, tailored to how your team actually works.

SRE teams

Engineer reliability

Set explicit targets and let burn-rate alerts protect the error budget.

Engineering leads

Reliability as a number

Report SLO attainment per service with measured, trustworthy data.

Product teams

Balance speed and stability

Spend error budget on shipping, and know exactly when to slow down.

Under the hood

SLOs computed from the source of truth

SLIs are calculated directly from the trace and metric data already in ClickHouse, not from a parallel pipeline that can disagree with your dashboards. Auto-discovered SLO suggestions come with seven days of measured evidence and a feasibility score, so targets start realistic.

Multi-window burn-rate alertsAI-assisted SLO authoring (NL→SLO)Auto-discovery with measured evidence

Start tracking SLOs in 5 minutes

Your existing OpenTelemetry instrumentation works unchanged, so there is nothing to rewrite and nothing to migrate.