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Buoyant Cloud

by Buoyant · Since 2015
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ActiveAvailable globallyCloud
Quick facts
VendorBuoyant
Year launched2015
StatusActive
LocationBuoyant, Inc. 548 Market St, PMB 43038, San Francisco, CA 94104-5401
Countries servedGlobal
Languages10
Integrations3+
Free tierN/A
Free trialYES
Contact salesYES

About Buoyant Cloud

Buoyant Cloud is a cloud-native service mesh platform from Buoyant that provides observability and traffic management for microservices. It combines service discovery, load balancing, and traffic routing so users can effectively manage their service dependencies. Buoyant Cloud supports reliable performance data visualization and real-time monitoring capabilities, allowing teams to gain insights into service interactions and troubleshoot issues quickly. The platform is designed to integrate easily with existing cloud-native applications, aligning with various deployment strategies. Key capabilities: service mesh traffic control observability performance monitoring microservices integration Best for: DevOps teams and software engineers that need to manage and monitor microservices in cloud environments.

Buoyant Cloud serves as a robust service mesh management platform, specifically engineered to simplify the operation of the open-source Linkerd service mesh in mission-critical environments. Its deployment is designed to be straightforward for teams already using Kubernetes. The process involves a simple installation of a Buoyant Cloud agent on your clusters, which can be done programmatically using Helm charts, making it compatible with automated DevOps workflows like GitOps. This agent then connects to the Buoyant Cloud workspace, providing a centralized "single pane of glass" view across multiple clusters. The platform's key functionalities revolve around automating the tedious administrative tasks of a service mesh. It provides a comprehensive suite of features, including automatic tracking of data plane and control plane health, seamless upgrades and installations, and the capability to rotate TLS trust anchors without causing service interruptions. It also offers proactive diagnostics, security policy auditing, and detailed observability into workload traffic and performance metrics, all without requiring any changes to application code.

Pros & Cons

Pros
  • Comprehensive zero trust security model
  • High availability and disaster recovery features
  • Automated lifecycle management
  • Enterprise-grade support and compliance
  • Provides on-by-default mTLS and robust zero-trust features without code changes.
Cons
  • May require adaptation for non-Kubernetes environments
  • Advanced features may have a learning curve
  • While the core Linkerd community is vibrant, it's smaller than that of projects like Istio
  • Lack of pricing transparency
  • Unlike some other service meshes, Linkerd requires a separate third-party controller for certain ingress features.

Features

Key features

Zero Trust Security

Provides end-to-end encryption, mutual TLS, cryptographic workload identity, and fine-grained authorization policies for all applications.

Ultra-High Availability

Supports automated failover, latency-aware load balancing, retries, timeouts, circuit breaking, and canary/blue-green deploys.

Network Optimization

Uses High Availability Zonal Load Balancing (HAZL) and universal traffic routing to reduce latency and cloud network costs.

Lifecycle Automation

Automates installation, upgrades, rollbacks, and maintenance of control and data planes.

Compliance

FIPS 140-2 and 140-3 validated encryption for secure communication.

Observability

Full Layer 7 visibility with integrations to monitoring tools for real-time metrics and diagnostics.

Multi-Cluster Support

Enables transparent multi-cluster communication and failover handling.

Rust-Based Data Plane

Uses a memory-safe Rust microproxy for high performance and resilience.

Additional features

Mutual TLS

Transparently adds encryption and bidirectional authentication to all network connections.

Cryptographic Workload Identity

Authenticates connections using cryptographic proof instead of IP addresses.

Authorization Policies

Human-readable, least-privilege access policies covering workload identity, HTTP methods, gRPC routes, etc.

Granular Security Boundaries

Defines per-pod and per-instance boundaries beyond traditional firewalls.

Automated Failover

Redirects traffic automatically to alternate clusters during service failure.

Real-Time Latency-Aware Load Balancing

Routes requests to the fastest available application components.

Retries, Timeouts, and Circuit Breaking

Automatically handles slow or failing endpoints and overload conditions.

Canary and Blue-Green Deploys

Gradually rolls out new code and falls back if issues are detected.

Zone-Aware Routing (HAZL)

Preserves zone locality and reduces cross-zone cloud network spend.

Universal Traffic Routing

Routes HTTP and gRPC traffic based on request properties to optimize efficiency.

Automated Lifecycle Management

Handles installation, upgrades, and configuration of BEL across clusters.

FIPS 140-2/140-3 Compliance

Validated encryption to meet regulatory requirements.

Centralized Observability

Unified monitoring and metrics for all meshed services across clusters.

Multi-Cloud & Hybrid Support

Operates across public clouds, private clouds, and on-prem Kubernetes clusters.

Service Mesh Academy Training

Provides learning resources and hands-on training for users.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
10
Interface languages
6
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianJapaneseKoreanPortugueseRussianChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇦CAD🇦🇺AUD

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