Chronosphere

Chronosphere
Observability at Scale

Gartner Magic Quadrant Leader in observability. Chronosphere closed Jan 29, 2026 at $3.35B and keeps its brand; the umbrella term is the Palo Alto Networks Observability platform, now above $300M ARR. Cloud-native telemetry, AI-powered analysis, and real-time cost control.

Acquisition

Chronosphere Joins Palo Alto Networks

A $3.35B acquisition closed Jan 29, 2026. Brand retained; the umbrella term is the Palo Alto Networks Observability platform.

$3.35B
Acquisition Value
Jan 29
2026 Close Date
MQ Leader
Gartner 2025
>$300M
Observability ARR

Strategic rationale: Observability is the missing link between infrastructure operations and security operations. Chronosphere connects "what's happening" (observability) with "is it safe" (security). Two naming points for sellers: the Chronosphere brand is retained and the umbrella term is the Palo Alto Networks Observability platform — there is no product called "Cortex Observability". The Cortex tie-in is the Cortex AgentiX integration, which is not generally available; the shipped integration today is the Chronosphere Telemetry Pipeline into Cortex XDL 2.0.

New

Embrace — Real User Monitoring & Digital Experience Monitoring

Announced Jul 21, 2026 and closed Thursday, Aug 27, 2026 — ahead of the Q1 FY2027 guidance. Value undisclosed. Embrace adds high-fidelity Real User Monitoring for mobile and web, built on OpenTelemetry, to the Observability platform. Full detail on the Embrace page →

Alongside Embrace, Palo Alto is building Synthetics organically with the ADEM team — proactive validation of application availability and performance from strategic locations across its globally distributed infrastructure. RUM plus Synthetics extends the Observability platform into Digital Experience Monitoring, and both are planned to link with Cortex AgentiX so issues can be seen and fixed automatically (PR Newswire, Jul 21, 2026).

Seller guidance: the deal is closed, so you can talk about Embrace as part of the platform. What is not published yet is combined packaging, SKUs, a merged console or a migration path for existing Embrace contracts — route those questions to your Palo Alto contact rather than guessing. Synthetics is organic ADEM-built work, not part of the acquisition, and the AgentiX auto-remediation story remains a stated direction. See the Embrace page for how it works, how it fits, compete positioning and scoping.

What's new for Chronosphere — as of August 2026

Foundation

Temporal Knowledge Graph

The layer underneath everything else: a continuously updated, queryable model of how the customer's system actually behaves, connecting telemetry across infrastructure, applications and business operations — and folding in human input, investigation notebooks and comments as institutional knowledge. It contextualises data regardless of format or schema, which is the differentiator against tools that depend on proprietary integrations or assume consistent schemas across observability data (Chronosphere, Computer Weekly).

Sell it: This is the answer to "how is this different from Datadog AI features?" — most observability data is custom instrumentation, and a graph that does not require schema conformity is the only one that can reason over it.
Capability

AI Guided Troubleshooting

Announced in early access in November and built on the Temporal Knowledge Graph, aimed at finding and fixing issues in large-scale cloud architectures. The problem statement is quantified: a theCUBE survey found more than 55% of respondents reported MTTR above four hours (Chronosphere).

Sell it: Pair the 4-hour MTTR stat with the customer's own number from the discovery questions below. If theirs is worse, you have the business case without a single product slide.
Integration · GA

Chronosphere MCP Server

Generally available, open-source, and strictly read-only — a Go-based bridge that lets LLMs and AI agents query telemetry and inspect platform configuration. Agents can execute PromQL, fetch logs by ID, query log ranges, list traces, correlate change events, read dashboards, monitors and SLOs, and list data-shaping rules (drop, mapping, rollup, recording). They are architecturally prevented from writing metrics, updating dashboards, deleting monitors, or changing production. Available as a Chronosphere-hosted instance or self-hosted from GitHub (Chronosphere).

Sell it: This is the honest, shipping answer when a customer asks how AgentiX and Chronosphere work together today — read-only agent access to observability context, with no write path to argue about in security review.
Proof · Jul 2026

Gartner 2026 — Leader for the third consecutive year

Chronosphere was again named a Leader in the Gartner Magic Quadrant for Observability Platforms, and ranked first for the Observability Cost Control use case in the 2026 Gartner Critical Capabilities. Customers optimise observability data volume by an average of 89%, and Chronosphere provides observability for two of the top five leading AI frontier labs, with DoorDash and Affirm named as cloud-native customers (Chronosphere).

Sell it: Lead cost control, not features. Ranked first for cost control plus an 89% average volume reduction is the cleanest funding argument for a SIEM or observability renewal conversation.
Shipping today

Telemetry Pipeline → Cortex XSIAM destination plugin

The Telemetry Pipeline now includes a Cortex XSIAM destination plugin, so security-relevant data can be filtered, normalised and enriched in-flight and routed into XSIAM while high-volume application logs stay queryable where they already live — with XSIAM Federated Search reaching the rest (Palo Alto Networks, pipeline release notes).

Sell it: The lower-risk first move that does not require replacing the SIEM. Fund the platform conversation with the savings, then revisit the platform decision at renewal.
Status check

What is still planned, not shipped

The deep Cortex AgentiX integration remains planned — Chronosphere describes it as a native integration it has "begun extending" so that once a root cause is identified, agents can act on it. Treat autonomous find-and-fix across observability and security as roadmap. The working paths today are the Telemetry Pipeline destination plugin and the read-only MCP server.

Sell it: Say the boundary out loud before a technical evaluator finds it. Credibility on what has not shipped is what buys you the roadmap conversation.

Capabilities

What Chronosphere Brings

Cloud-native observability designed for modern, ephemeral infrastructure.

Cloud-Native Observability

Built for Kubernetes, microservices, and serverless from the ground up. Chronosphere collects, stores, and analyzes metrics, traces, and logs across distributed architectures without the cardinality explosions that plague legacy monitoring tools.

Metrics

High-cardinality time series at scale

Traces

Distributed tracing across services

Logs

Structured and unstructured log analysis

Telemetry Pipeline

Chronosphere's Telemetry Pipeline is the game-changer. It intelligently routes, aggregates, and filters telemetry data before it hits storage — dramatically reducing costs and noise while preserving the signals that matter.

30%+
Noise Reduction
20x
Less Infrastructure

Real-Time Cost & Value Control

Unlike legacy observability tools that charge by data volume with no controls, Chronosphere gives teams real-time visibility into observability costs and the value each data stream delivers. Set quotas by team or service, identify low-value high-cost metrics, and optimize spend without sacrificing coverage. This addresses the #1 pain point with tools like Datadog and Splunk Observability — unpredictable and escalating costs.

Deep Dives

Capability Deep Dives

Explore each observability pillar in detail — click to expand.

100% Prometheus and PromQL compatible with native OpenTelemetry ingestion. Handles hundreds of millions of data points per second with high cardinality management that identifies and controls cardinality explosions — the #1 scaling challenge for cloud-native metrics.

High-Cardinality Handling

Aggregate, downsample, remove high-cardinality labels without code changes

Query Accelerator

Auto-pre-aggregation for faster dashboards and alerts — import Grafana dashboards directly

Metrics Usage Analyzer

Utility scoring, cost identification, optimization recommendations per metric stream

Announced at Open Source Summit 2025 to address the 250% YoY log growth problem. Filter low-value logs, remove whitespace, convert logs to metrics in clicks.

  • Logs Usage Analyzer — usage and cost tracking with proactive volume growth anticipation
  • PII Redaction — redact sensitive data from logs in-flight before leaving your environment
  • Flexible Routing — route to low-cost object storage with rehydration capability; JSON normalization from raw text

Distributed tracing with span-level analysis and dynamic head-and-tail sampling with flexible rate adjustments.

Differential Diagnosis (DDx)

Guided, queryless troubleshooting that takes high-level metric anomalies and drills into detailed trace analysis. Reveals what's changing, what's not, and where to focus — correlating across metrics, logs, and traces. Repeatable and scalable: lets any developer troubleshoot like a seasoned expert on day one. 50% reduced troubleshooting time (customer-reported).

Built on the Fluent Bit foundation (CalyPtia/Fluent Bit acquisition). Stream-process, transform, enrich, and reduce telemetry data in-flight before it hits any destination. Remains available as a standalone solution post-PANW acquisition.

Collect From

  • • Prometheus, OpenTelemetry, FluentD
  • • Splunk HEC, Telegraf, Okta, Mandiant
  • • HTTP API, TCP, Vercel

Route To

  • • Chronosphere, Datadog, CrowdStrike
  • • Splunk, Amazon S3, Azure Blob
  • • ClickHouse, Apache Kafka

Speeds up SIEM/observability migrations by up to 50% • Redacts PII from logs before leaving environment • Requires 20x less infrastructure than legacy alternatives

The Control Plane is Chronosphere's core differentiator. Containerized workloads generate 10–100x more data than traditional VMs — the Control Plane solves the resulting cost and noise problem with a four-phase cycle:

1. Analyze

Auto-assigns utility scores to all incoming data based on usage frequency and consumer identity

2. Refine

Aggregates, downsamples, drops non-valuable metrics, filters logs, converts logs to metrics

3. Operate

Query Accelerator pre-aggregates data; Query Scheduler prevents query crowding

4. Govern

Capacity allocation via quotas by team or service; prevents cardinality and log volume spikes

84%

Average data volume reduction after Control Plane deployment

Customer Evidence:

  • • DoorDash: Automated 14,000 SLOs with full endpoint coverage without manual SLO creation
  • • Robinhood: 5x improvement in reliability, 4x faster issue resolution
  • • Fintech customer: 70% reduction in observability costs, 14,000 engineering hours saved annually

Forrester TEI Study: $7.9M benefits over 3 years • 165% ROI • <6 month payback • 75% fewer reliability incidents • 84% average data volume reduction

Cortex XSIAM Integration (shipped): The Chronosphere Telemetry Pipeline is natively integrated into Cortex XDL 2.0 (shipped with XSIAM 3.4, Jan 25 2026) as the ingestion and preprocessing layer — filtering low-value noise before it reaches XSIAM, for 30%+ noise reduction and 20x less infrastructure. Directional only: observe AI workloads → detect anomalies → autonomously remediate via Cortex AgentiX. That AgentiX integration is not GA.

AI-Powered

AgentiX Integration

Not generally available — roadmap positioning only. Autonomous AI agents that find and fix issues before they impact users.

From Detection to Resolution — Autonomously

By integrating Chronosphere observability with Cortex AgentiX, the platform can detect anomalies in application behavior, correlate them with security telemetry, and initiate remediation. This integration is not generally available — position it as direction, not a shippable capability, and do not build it into a quote or a success criterion.

What is GA today: the Chronosphere Telemetry Pipeline integration into Cortex XDL 2.0, delivering 30%+ noise reduction.

1

Anomaly detected in metrics/traces

2

AI agent investigates root cause

3

Cross-references security telemetry

4

Automated fix deployed

Leadership

Martin Mao

SVP, General Manager — Observability

Chronosphere co-founder Martin Mao joins Palo Alto Networks to lead the observability business unit. His experience scaling observability at Uber and building Chronosphere ensures continuity of vision and execution.

Scoping

Sizing the Observability Opportunity

Key dimensions to scope a Palo Alto Networks Observability platform engagement.

Current Tools

What are they using today? Datadog, Splunk Observability, New Relic, Grafana/Prometheus, Dynatrace? Capture annual spend and contract end date. Pain points typically center on cost and scale.

Log Volume

Daily log/metric volume in GB or TB. What percentage is useful vs. noise? Telemetry Pipeline can cut 30%+ of noise immediately.

Monitoring Scope

What's monitored? Cloud infrastructure, K8s clusters, microservices, databases, CI/CD pipelines? How many services and hosts?

Pre-Sales

Scoping Checklist

Data points to collect before quoting Chronosphere on the Palo Alto Networks Observability platform.

Incumbent Vendor, Spend and Contract End — Named tool (Datadog, Splunk Observability, New Relic, Dynatrace, Grafana Cloud), annual spend in USD, and the exact renewal/contract end date
Metric, Log and Trace Volume — Metrics ingested per second or active time series, log GB/day, and trace spans/day, split by environment
Cardinality — Peak unique time-series cardinality and the labels driving it; cardinality blow-ups are the primary cost driver in the incumbent bill
Services and Environments — Number of monitored services and hosts, and how many environments (prod, staging, dev, per-region) must be onboarded
Retention Requirements — Required retention in days/months per telemetry type, plus any regulatory or data-residency constraint on where telemetry is stored
Kubernetes Footprint — Number of clusters, nodes and namespaces, managed vs self-hosted distributions, and container churn rate
On-Call and SLO Maturity — Number of on-call teams, count of defined SLOs today, alert volume per week, and current MTTR / mean time to root cause
Telemetry Pipeline and Noise Goals — Current pipeline tooling, estimated percentage of non-actionable telemetry, and the target noise-reduction number (30%+ is the reference point via Telemetry Pipeline into Cortex XDL 2.0)
Mobile & Web RUM Requirement — Whether real user monitoring is in scope, with app count, platforms and monthly active users. Embrace closed Aug 27, 2026, so it is part of the platform — but combined packaging is not yet published, so size it via your Palo Alto contact (see the Embrace scoping checklist)
Cortex AgentiX Tie-In — Whether the customer requires the Cortex AgentiX integration. It is not GA, so it must not be a success criterion; confirm whether the shipped Telemetry Pipeline into Cortex XDL 2.0 satisfies the requirement instead

Discovery

Observability Discovery Questions

Uncover cost pain and operational gaps.

Why ask: Observability cost overruns are the #1 pain point. Datadog bills have doubled or tripled year-over-year for many enterprises. Chronosphere's Telemetry Pipeline and cost controls directly address this.

Listen for: "It keeps going up" or "We got surprise bills" — strong Chronosphere play. "We've had to cut data to stay on budget" — Telemetry Pipeline preserves signal while cutting cost.

Why ask: Most organizations estimate only 30-50% of their telemetry is actionable. Chronosphere's Telemetry Pipeline automatically identifies and routes low-value data to cheaper storage tiers.

Listen for: "We collect everything just in case" — classic over-collection. "We don't know" — opportunity for a pipeline assessment.

Why ask: Mean time to root cause (MTTRC) reveals operational maturity. AI-driven root cause analysis in Chronosphere reduces investigation time; the Cortex AgentiX integration would extend this but is not GA.

Listen for: "Hours" or "It depends on who's on call" — strong case for AI-assisted investigation. "We war-room it" — expensive human-intensive process.

Why ask: This is the PAN differentiator. Most observability tools exist in a silo from security. Chronosphere + XSIAM bridges the gap between "the app is slow" and "the app is under attack."

Listen for: "No, those are separate teams and tools" — platform consolidation opportunity. "We send alerts to our SIEM" — show the native integration advantage.