Apica announced the release of Ascent 2.16, delivering the clean, governed, real-time telemetry that autonomous AI systems require at up to 40% lower total cost of ownership than legacy observability platforms.
Ascent 2.16 represents foundational advances to Apica Ascent that expand the intelligent telemetry pipeline, extend real-user and service-level visibility, and harden platform performance for AI-scale workloads.
Ascent is a complete telemetry data management product suite that gives enterprises the pipeline control, storage foundation, and operational visibility their agents require, with up to 40% lower total cost of ownership than the legacy platforms they’re already paying too much for.
Apica’s architecture inverts the model: Process, transform, enrich, and govern telemetry in the pipeline before expensive platform ingestion. Route intelligently. Store cost-efficiently. Enable real-time access for both human operators and AI agents.
“The enterprises winning with AI won’t be the ones with the most agents, they’ll be the ones whose telemetry infrastructure can support them. Ascent 2.16 is the foundation: A product suite that treats every data type, including synthetics, as a first-class pipeline citizen, that puts real-time intelligence and cost visibility directly in the hands of SRE and platform teams, and that’s architecturally ready for the volumes agentic AI will generate. This is how you get agentic-ready before the wave hits,” said Andi Mann, Chief Product Technology Officer, Apica.
Ascent 2.16 is a foundational release that advances the intelligent telemetry pipeline and prepares enterprise infrastructure for the demands of agentic AI at production scale.
2.16 introduces the ability to expose synthetic check results as a live data stream directly within Apica Flow, making synthetics a first-class telemetry type alongside logs, metrics, and traces.
- Apply full Flow pipeline capabilities to synthetic check data for the first time: Filtering, enrichment, PII/PHI masking, volume governance, and cost routing.
- Enable AI validation workflows: Synthetic probes generate known-result signals that AI agents can use to detect hallucination and verify autonomous decision outputs.
- Advances Apica’s “all data is good data” architecture: Collapsing the boundary between monitoring and telemetry pipeline management
Apica Flow now surfaces real-time cost savings calculations at the individual rule level, giving SRE and platform teams immediate attribution of downstream ingestion and storage savings.
- Transforms pipeline configuration from an engineering task into a visible business lever, with cost impact surfaced at the moment a rule is written.
- Directly supports observability budget control at AI scale, where cost optimization decisions must be made in real time, not inferred from billing reports after the fact
A new RUM dashboard extends Ascent’s observability to the endpoint, capturing live user experience data from real devices and sessions, with built-in AI-driven analysis that surfaces anomalies and performance insights automatically.
- Extends visibility beyond the server to the end user, capturing the endpoint-level signals that agentic systems serving real users depend on to operate reliably.
- AI integration surfaces patterns and anomalies in real user metrics automatically.
- Lays the groundwork for edge observability, an emerging requirement as agentic workloads extend further toward the user
A new SLO dashboard gives enterprise IT and SRE teams native tooling within Ascent to define, monitor, and report against the service commitments that their business depends on.
- Enables teams to define and track reliability contracts against the precise service level agreements their business has committed to, within the same platform managing their telemetry pipeline.
- Prepares enterprise teams to establish and monitor the reliability standards that AI-integrated and agentic workloads will need to meet before those workloads reach production
Broad architectural improvements to the Ascent substrate deliver measurably faster response times, higher throughput, and improved stability across the product suite.
Architectural enhancements to the Ascent substrate directly set up the high-throughput, high-concurrency processing that agentic AI workloads will demand at production scale
Improvements are most visible at the substrate level, where AI agents will generate 10–100x the telemetry of traditional applications, making product throughput capacity a foundational agentic-readiness requirement
Apica Ascent 2.16 is generally available now for all Ascent customers. All capabilities described in this release, including synthetic data streaming in Flow, real-time ROI on pipeline rules, the RUM dashboard with AI analysis, and the SLO dashboard, are included within existing Ascent subscription tiers.
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