Start here for the decision-making essentials: what Chronosphere does, who it is for, how it is accessed, and the first-party sources behind this profile.
PricingCurrent signal
Observability Platform
Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseMaintains/engages with OpenTelemetry, Fluent Bit, and Prometheus open source projects
Best suited to
Source-backed fit
Organizations running microservices and Kubernetes workloads Teams needing scalable observability with cost control over retained data Enterprises seeking unified observability and security for the AI era Site reliability, DevOps, and engineering teams worldwide Trusted by DoorDash, Zillow, and Affirm
AI infrastructure · Tool
Chronosphere
Decision-ready
Find and fix customer-impacting issues faster and stop paying for data you don’t use. Chronosphere is the world’s most reliable observability platform for microservices and containers.
224 W 35th St Ste 500 PMB 47, New York, NY 10001 Checked YouTubeLinkedInX
Short answers to the questions buyers and builders commonly ask about Chronosphere. Each answer cites the shared ledger below, where every source is listed once.
01What does Chronosphere say it can do?
End-to-end Observability Platform that harnesses useful data, reduces spend, boosts develo · Telemetry Pipeline for collection, transformation, and routing of telemetry data from any · Industry-leading 99.99% proven reliability at tens of millions of data points per second · Chronosphere Lens resolves incidents faster with integrated, contextual data across the re
Observability Platform: An end-to-end observability solution allowing teams to harness the most useful data, reduce spend, boost developer efficiency, and remediate faster.
AI Workload Observability for scaling AI operations without growing costs · AI Workload Observability — scaling AI operations without growing costs. · AI Workload Observability to scale AI operations without growing costs · Kubernetes Workload Observability for containerized, microservices environments
AI Workload Observability Scale AI operations without growing costs
04What pricing information is available for Chronosphere?
Observability Platform | Custom pricing | Charges only for the useful data you choose to r · Telemetry Pipeline | Custom pricing | Priced solely on data throughput — volume of raw dat
Chronosphere only charges for the useful data that you choose to retain in the Chronosphere Observability Platform.
Ingests metrics and traces via Prometheus, OpenTelemetry, and other open source formats · Provides a Terraform provider for configuration management. · 100% PromQL compatible (verified by independent third party); also supports Graphite. · 100% OpenTelemetry compatible, including OpenTelemetry Collector ingestion and Jaeger Remo
Open Source Data Collection Ingest metrics and traces via Prometheus, OpenTelemetry, and other open source formats
Fully managed SaaS; only Chronosphere collector instances are deployed in customer environ · Cloud-native observability SaaS platform with single-tenant architecture · Remote-first company with flexible travel and collaboration culture · Delivered as a SaaS solution that natively ingests Prometheus without requiring instrument
The datastore and dashboards are fully provided and managed by Chronosphere.
This profile connects the jobs Chronosphere is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
AI workload observability to scale AI operations without growing costs
Kubernetes workload observability for containerized, microservices environments
Incident response and resolution using Chronosphere Lens
Queryless guided troubleshooting via Differential Diagnosis (DDx)
Telemetry pipeline collection, transformation, and routing across cloud and observability
Creating and managing SLOs in dynamic containerized, microservices environments
Observability Platform | Custom pricing | Charges only for the useful data you choose to r · Telemetry Pipeline | Custom pricing | Priced solely on data throughput — volume of raw dat
API
Not publicly listed
Source links
16 recorded
Source-backed
Verified facts
Updated August 31, 2026
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Official website
HTTP 200 verified twice
First-party description
Home
Source-supported facts
Purpose-built observability platform for microservices, containers, and Kubernetes · 99.99% proven reliability at tens of millions of data points per second · Palo Alto Networks completed acquisition of Chronosphere
Application type
Observability platform purpose-built for microservices, containers, and Kubernetes
Capability
End-to-end Observability Platform that harnesses useful data, reduces spend, boosts developer efficiency, and remediates faster
Capability
Telemetry Pipeline for collection, transformation, and routing of telemetry data from any source to any destination
Capability
Industry-leading 99.99% proven reliability at tens of millions of data points per second
Company
Palo Alto Networks has completed its acquisition of Chronosphere, unifying observability and security for the AI era
View 32 more verified facts
Headquarters
224 W 35th St Ste 500 PMB 47, New York, NY 10001
Team size
201-500 employees
Integration
Ingests metrics and traces via Prometheus, OpenTelemetry, and other open source formats
Capability
Chronosphere Lens resolves incidents faster with integrated, contextual data across the response workflow
Capability
Practical capabilities
What it helps with
8 documented areas
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Use case
AI workload observability to scale AI operations without growing costs
Use case
Kubernetes workload observability for containerized, microservices environments
Use case
Incident response and resolution using Chronosphere Lens
Use case
Queryless guided troubleshooting via Differential Diagnosis (DDx)
Use case
Telemetry pipeline collection, transformation, and routing across cloud and observability
Use case
Creating and managing SLOs in dynamic containerized, microservices environments
Use case
AI Workload Observability for scaling AI operations without growing costs
Use case
AI Workload Observability — scaling AI operations without growing costs.
Availability
Where it runs and where to get it
Source checked
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
Observability Platform | Custom pricing | Charges only for the useful data you choose to r · Telemetry Pipeline | Custom pricing | Priced solely on data throughput — volume of raw datMaintains/engages with OpenTelemetry, Fluent Bit, and Prometheus open source projectsEmbraces open standards including OpenTelemetry, Prometheus, and Fluent Bit to avoid vendoIngest metrics and traces via Prometheus, OpenTelemetry, and other open source formatsChronosphere supports and contributes to OpenTelemetry, Fluent Bit, and Prometheus open so
Application types
Observability platform purpose-built for microservices, containers, and Kubernetes
Origin
Chronosphere is from the creators of Fluent Bit and Calyptia
Platforms
Prometheus and OpenTelemetry (and other open source formats).Fluent Bit-based Telemetry Pipeline for log collection, aggregation, transformation, and f
Implementation details
Adoption notes
DeploymentFully managed SaaS; only Chronosphere collector instances are deployed in customer environ · Cloud-native observability SaaS platform with single-tenant architecture · Remote-first company with flexible travel and collaboration culture · Delivered as a SaaS solution that natively ingests Prometheus without requiring instrument
LicenseChronosphere supports and contributes to OpenTelemetry, Fluent Bit, and Prometheus open so
Model supportNot disclosed by source
Data controlTelemetry Pipeline can pre-process and route security logs from any source to any SIEM. · Customer data encrypted at rest and in transit using TLS 1.2 or higher and AES 256 · Redacts PII and other sensitive information from logs before any data leaves the customer
Learning curveIntermediate
Primary use casesAI workload observability to scale AI operations without growing costs, Kubernetes workload observability for containerized, microservices environments, Incident response and resolution using Chronosphere Lens, Queryless guided troubleshooting via Differential Diagnosis (DDx), Telemetry pipeline collection, transformation, and routing across cloud and observability, Creating and managing SLOs in dynamic containerized, microservices environments, AI Workload Observability for scaling AI operations without growing costs, AI Workload Observability — scaling AI operations without growing costs., AI Workload Observability to scale AI operations without growing costs, Kubernetes Workload Observability for containerized, microservices environments, Kubernetes Workload Observability to gain visibility and control with the Chronosphere Obs, Control observability costs by cutting low-value data volumes by 89% on average, Scale Prometheus by overcoming the challenges of running and scaling Prometheus instances, Kubernetes Workload Observability with complete visibility into Kubernetes cluster health
What to verify before adopting
Promised SLA is 99.9% (delivered SLA is better than 99.99%), calculated per-tenant
AI-Guided Troubleshooting (Suggestions and Investigation Notebooks) is in limited availabi
Evolution and major updates
Chronosphere timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Research in progress
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
Recorded sources
16 unique pages
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
1chronosphere.io 17 facts · 3 answers · 1 snapshot source · Official site
These tools share a workflow, capability or audience with Chronosphere. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Differential Diagnosis (DDx) provides queryless, guided troubleshooting using metrics or traces without requiring expertise
Origin
Chronosphere is from the creators of Fluent Bit and Calyptia
Use case
AI Workload Observability for scaling AI operations without growing costs
Company
Chronosphere is a business-to-business, software-as-a-service observability company.
Capability
Ingests metrics, events, logs, and distributed trace data via open source formats.
Platform
Prometheus and OpenTelemetry (and other open source formats).
Origin
Chronosphere Telemetry Pipeline is from the creators of Fluent Bit and Calyptia.
Deployment
Fully managed SaaS; only Chronosphere collector instances are deployed in customer environments.
Integration
Provides a Terraform provider for configuration management.
Integration
100% PromQL compatible (verified by independent third party); also supports Graphite.
Integration
100% OpenTelemetry compatible, including OpenTelemetry Collector ingestion and Jaeger Remote Sampler.
Support
24/7 x 365 communications by Slack, Zendesk, or e-mail, with assigned customer success architect, solution architect, and account executive.
Pricing
Observability Platform | Custom pricing | Charges only for the useful data you choose to retain (not per host/VM); pilots are typically free for 2-3 weeks.
Pricing
Telemetry Pipeline | Custom pricing | Priced solely on data throughput — volume of raw data transmitted through the pipeline.
Use case
AI Workload Observability — scaling AI operations without growing costs.
Company
Chronosphere, Inc.
Headquarters
224 W 35th St Ste 500 PMB 47, New York, NY 10001
Team size
201-500 employees
Capability
Observability platform for microservices and containers with Prometheus and OpenTelemetry data ingestion
Capability
Chronosphere Lens resolves incidents faster with integrated, contextual data
Capability
Differential Diagnosis (DDx) provides queryless, guided troubleshooting using metrics or traces
Capability
Industry-leading 99.99% proven reliability even at tens of millions of data points per second
Use case
AI Workload Observability to scale AI operations without growing costs
Use case
Kubernetes Workload Observability for containerized, microservices environments
Integration
Telemetry Pipeline integrates with AWS, Azure, Google Cloud, Datadog, Splunk, Elasticsearch, Kafka, Prometheus, OpenTelemetry and many other sources and destinations
Open source
Chronosphere supports and contributes to OpenTelemetry, Fluent Bit, and Prometheus open source projects
Audit
SOC2 certified
Capability
Observability platform that lets teams find and fix customer-impacting issues faster and stop paying for data they don't use
AI infrastructure · ToolArthur AIArthur AI provides a unified control plane for trustworthy enterprise AI, delivering agent discovery, observability, guardrails, and governance across the full lifecycle. It supports LLM, tabular, CV, and NLP models with bias detection, cost optimization, and SOC 2 Type II compliance.Also mapped to AI infrastructure
AI infrastructure · ToolBraintrustBraintrust is an enterprise-grade AI observability and evaluation platform for tracing production LLM applications, running experiments on datasets, comparing prompts and models, and catching regressions via online scoring and quality gates.Also mapped to AI infrastructure
AI infrastructure · ToolCerebriumCerebrium is a serverless AI infrastructure platform for real-time, high-performance applications. It provides global, region-aware GPU deployment, sub-second cold starts, instant autoscaling, and hardened gVisor workload isolation, with support for voice agents, video models, LLMs, multimodal pipelines, and large-scale batch jobs.Also mapped to AI infrastructure
AI infrastructure · ToolChromaChroma is an open-source (Apache 2.0) data infrastructure for AI that stores embeddings and supports dense, sparse, hybrid, keyword, and regex search across text, images, and audio. It runs as self-hosted single-node, distributed, or managed Chroma Cloud, with AWS CloudFormation deployment, a CLI, and Mem0 integration.Also mapped to AI infrastructure
