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features
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support

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Description

Hawkular Metrics is a robust, asynchronous, multi-tenant engine designed for long-term metrics storage, utilizing Cassandra for its data management and REST as its main interface. This segment highlights some of the essential characteristics of Hawkular Metrics, while subsequent sections will delve deeper into these features as well as additional functionalities. One of the standout aspects of Hawkular Metrics is its impressive scalability; its architecture allows for operation on a single instance with just one Cassandra node, or it can be expanded to encompass multiple nodes to accommodate growing demands. Moreover, the server is designed with a stateless architecture, facilitating easy scaling. Illustrated in the accompanying diagram are various deployment configurations enabled by the scalable design of Hawkular Metrics. The upper left corner depicts the most straightforward setup involving a lone Cassandra node connected to a single Hawkular Metrics node, while the lower right corner demonstrates a scenario where multiple Hawkular Metrics nodes can operate in conjunction with fewer Cassandra nodes, showcasing flexibility in deployment. Overall, this system is engineered to meet the evolving requirements of users efficiently.

Description

Establish governance policies that effectively manage cloud-native environments while preserving agility and speed. Assign budgets to distinct teams or projects, monitor expenses, regulate resource utilization, and provide immediate notifications for budget exceedances. Oversee the entire asset life cycle, from initiation and ownership to modification and eventual termination. Gain insights into the intricate consumption patterns of resources and the associated costs for decentralized development teams, all while encouraging developers to deliver value with every deployment. It’s essential to ensure that microservices, containers, pods, and Kubernetes clusters operate with optimal resource efficiency, maintaining reliability, availability, and performance standards. Replex facilitates the right-sizing of Kubernetes nodes and cloud instances by leveraging both historical and real-time usage data, serving as a comprehensive repository for all critical performance metrics to enhance decision-making processes. This comprehensive approach ensures that teams can stay on top of their cloud expenses while still fostering innovation and efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Apache Cassandra
Google Cloud Platform
Kubernetes
Microsoft Azure
Prometheus
VMware Cloud

Integrations

Amazon Web Services (AWS)
Apache Cassandra
Google Cloud Platform
Kubernetes
Microsoft Azure
Prometheus
VMware Cloud

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Hawkular Metrics

Website

www.hawkular.org//hawkular-metrics/docs/user-guide/

Vendor Details

Company Name

Replex

Founded

2016

Country

Germany

Website

www.replex.io/solution/govern-k8s-environments-distributed-devops-teams-and-infrastructure

Product Features

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

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