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What is Phlare?

Grafana Phlare provides a platform for unifying continuous profiling data, ensuring features like high availability, multi-tenancy, and dependable storage solutions, which significantly improve your understanding of application resource utilization in detail. Being an open-source database, Grafana Phlare is designed to deliver fast, scalable, and effective storage along with advanced querying functionalities for profiling data. The creation of Phlare was sparked during a company-wide hackathon at Grafana Labs, with its official unveiling occurring in 2022 during ObservabilityCON. This tool aims to promote extensive continuous profiling within the open-source community, equipping developers with enhanced insights into how their codes consume resources. Such an initiative not only supports users in assessing the performance of their applications but also aids in optimizing their infrastructure costs, resulting in improved management of applications. Overall, Grafana Phlare represents a significant step towards empowering developers to make data-driven decisions about application performance and efficiency.

What is Elastic Observability?

Utilize the most widely adopted observability platform, built on the robust Elastic Stack, to bring together various data sources for a unified view and actionable insights. To effectively monitor and derive valuable knowledge from your distributed systems, it is vital to gather all observability data within one cohesive framework. Break down data silos by integrating application, infrastructure, and user data into a comprehensive solution that enables thorough observability and timely alerting. By combining endless telemetry data collection with search-oriented problem-solving features, you can enhance both operational performance and business results. Merge your data silos by consolidating all telemetry information, such as metrics, logs, and traces, from any origin into a platform designed to be open, extensible, and scalable. Accelerate problem resolution through automated anomaly detection powered by machine learning and advanced data analytics, ensuring you can keep pace in today’s rapidly evolving landscape. This unified strategy not only simplifies workflows but also equips teams to make quick, informed decisions that drive success and innovation. By effectively harnessing this integrated approach, organizations can better anticipate challenges and adapt proactively to changing circumstances.

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Integrations Supported

1Password
AWS Lambda
Aerospike
Apache CouchDB
Azure Marketplace
Cisco Secure Endpoint
EventHub
FortiClient
Gmail
Google Cloud Platform
Google Cloud Storage
Junos OS
Microsoft Defender XDR
Palo Alto Networks AutoFocus
PostgreSQL
PowerShell
Proofpoint Email Protection
Radware DefensePro
ThreatStream
Zendesk

Integrations Supported

1Password
AWS Lambda
Aerospike
Apache CouchDB
Azure Marketplace
Cisco Secure Endpoint
EventHub
FortiClient
Gmail
Google Cloud Platform
Google Cloud Storage
Junos OS
Microsoft Defender XDR
Palo Alto Networks AutoFocus
PostgreSQL
PowerShell
Proofpoint Email Protection
Radware DefensePro
ThreatStream
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$16 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Grafana Labs

Date Founded

2014

Company Location

United States

Company Website

grafana.com/oss/phlare/

Company Facts

Organization Name

Elastic

Date Founded

2012

Company Location

United States

Company Website

www.elastic.co/observability

Categories and Features

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