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Kloudfuse Continuous Profiling

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What Kloudfuse Continuous Profiling is

Kloudfuse Continuous Profiling is a production profiling service for engineering and on-call teams. It continuously gathers CPU, memory, contention, block, goroutine, wall-clock, and disk I/O profiles and stores them with other telemetry in a Kloudfuse data lake. Interactive flame graphs let users inspect activity to function and line level. Grafana Alloy pulls standard pprof endpoints through the Pyroscope protocol, without proprietary agents or sidecars. In Kubernetes, Alloy can discover services from pod annotations and profile newly ready pods. Go and Java have first-class support; Pyroscope SDK-instrumented Python, Ruby, Node.js, .NET, and Rust applications are also compatible. The Kloudfuse MCP Server accepts natural-language profiling queries, while K-Lens ranks attributes linked to anomalies to suggest root-cause hypotheses. Profiles use Apache Parquet, with retention on a configurable local PVC or longer-term S3/GCS storage. Deployment can be self-operated, co-managed, or fully managed in the customer’s VPC.

Who it suits

It suits engineering and on-call teams that need continuous production profiling alongside telemetry. It also fits organizations using Kubernetes, supported languages, and customer-managed cloud environments.

What it does well

  • Interactive flame graphs reach function and line level
  • Profiles CPU, memory, contention, and disk I/O
  • Kubernetes services can be discovered through pod annotations
  • Natural-language profiling queries via Kloudfuse MCP Server
  • Supports S3/GCS for longer-term retention

What to know first

  • Pricing requires a quote
  • Local PVC retention defaults to 50 GB
  • Some languages require Pyroscope SDK instrumentation

Limits

The local PVC defaults to 50 GB; longer-term storage can use S3 or GCS. The pricing page lists telemetry tiers through 30–50 TB/day, with exact platform pricing available by quote.

Plans

PlanBilled and limitsPrice
Kloudfuse Continuous ProfilingPricing is quoted for the platform by telemetry-volume tier; profiling stores to a 50 GB default PVC, with S3/GCS available for longer retentionOn request

As kloudfuse.com lists them, read 9 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the Continuous Profiling page and request pricing for the platform's telemetry-volume tier.
  2. Use the live observability playground with a work email; it requires no install or credit card.
  3. Deploy the self-hosted product and choose self-operated, co-managed, or fully managed operation.
  4. Configure Grafana Alloy to pull from standard pprof endpoints using the Pyroscope protocol.
  5. Set profile retention on the local PVC or use S3 or GCS for longer-term storage.

Verdict

Kloudfuse Continuous Profiling combines broad profile collection with telemetry storage, interactive analysis, and Kubernetes discovery. Its self-hosted deployment options and configurable retention suit teams with specific infrastructure and compliance requirements.

Questions

How is Kloudfuse Continuous Profiling priced?

Pricing is quoted by telemetry-volume tier; exact platform pricing requires a quote.

Is there a trial?

A live observability playground is available with a work email. It requires no installation or credit card.

Which profile types does it collect?

It captures CPU, memory allocation, mutex contention, block, goroutine, wall-clock, and disk I/O profiles.

Which languages are compatible?

Go and Java have first-class support. Python, Ruby, Node.js, .NET, and Rust applications are compatible when instrumented with the Pyroscope SDK.

How does collection work?

Grafana Alloy pulls from standard pprof endpoints using the Pyroscope protocol. In Kubernetes, it can discover services through pod annotations and profile newly ready pods automatically.

Where are profiles retained?

Profiles use Apache Parquet and can be retained on a local PVC, which defaults to 50 GB, or in S3 or GCS for longer-term storage.

Facts from Kloudfuse Continuous Profiling's own pages

Analysis
The Kloudfuse MCP Server supports natural-language profiling queries, while K-Lens ranks attributes associated with profiling anomalies to suggest root-cause hypotheses. · kloudfuse.com, 9 Oct 2026
Audience
The company describes the platform as built for engineering and on-call teams, and says it is used in healthcare, financial services, and regulated government environments. · kloudfuse.com, 9 Oct 2026
Collection
Grafana Alloy scrapes standard pprof endpoints using the Pyroscope protocol in pull mode, without proprietary agents or sidecars. · kloudfuse.com, 9 Oct 2026
Company
Kloudfuse says it was founded in 2020 and is headquartered in Cupertino, California. · kloudfuse.com, 9 Oct 2026
Compliance
Kloudfuse says it supports SOC 2 Type II and FIPS 140-3 validated cryptography, and advises contacting its team about FedRAMP. · kloudfuse.com, 9 Oct 2026
Deployment and security
Kloudfuse says the data plane runs in the customer's VPC under customer-managed keys, with self-operated, co-managed, and fully managed operation options. · kloudfuse.com, 9 Oct 2026
Founded
2020 · kloudfuse.com, 28 Sept 2026
Headquarters
Cupertino, CA · kloudfuse.com, 28 Sept 2026
Kubernetes discovery
Grafana Alloy discovers Kubernetes services using pod annotations, and newly ready pods can be profiled automatically. · kloudfuse.com, 9 Oct 2026
Language compatibility
Go and Java have first-class support; Pyroscope SDK-instrumented Python, Ruby, Node.js, .NET, and Rust applications are also compatible. · kloudfuse.com, 9 Oct 2026
Limits
The pricing page lists telemetry tiers through 30–50 TB/day and says exact platform pricing requires a quote; it does not publish prices there. · kloudfuse.com, 9 Oct 2026
Profile types
It captures CPU, memory allocation, mutex contention, block, goroutine, wall-clock, and disk I/O profiles, displayed as interactive flame graphs down to function and line. · kloudfuse.com, 9 Oct 2026
Purpose
Kloudfuse collects CPU, memory, and contention profiles continuously from production and keeps them in the same data lake as other telemetry. · kloudfuse.com, 9 Oct 2026
Retention
Profiles use Apache Parquet, with configurable retention on a local PVC that defaults to 50 GB or longer-term storage on S3/GCS. · kloudfuse.com, 9 Oct 2026
Trial access
The playground provides access to a live observability environment with no install and no credit card, and asks for a work email. · kloudfuse.com, 9 Oct 2026

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