Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Heroic is an open-source monitoring solution initially developed at Spotify to tackle challenges related to the large-scale collection and near real-time analysis of metrics. It comprises a limited number of specialized components that each serve distinct purposes. The system offers indefinite data retention, contingent upon adequate hardware investment, alongside federation capabilities that enable multiple Heroic clusters to connect and present a unified interface. A key component, Consumers, is tasked with the consumption of metrics, illustrating the system's design for efficiency. During the development of Heroic, it became evident that managing hundreds of millions of time series without sufficient context poses significant challenges. Additionally, the federation support facilitates the handling of requests across various independent Heroic clusters, allowing them to serve clients via a single global interface. This feature not only streamlines operations but also minimizes geographical traffic, as it allows individual clusters to function independently within their designated zones. Such capabilities ensure that Heroic remains a robust choice for organizations needing effective monitoring solutions.
Description
EMR allows you to adjust the size of your managed Hadoop clusters either manually or automatically, adapting to your business needs and monitoring indicators. Its architecture separates storage from computation, which gives you the flexibility to shut down a cluster to optimize resource utilization effectively. Additionally, EMR features hot failover capabilities for CBS-based nodes, utilizing a primary/secondary disaster recovery system that enables the secondary node to activate within seconds following a primary node failure, thereby ensuring continuous availability of big data services. The metadata management for components like Hive is also designed to support remote disaster recovery options. With computation-storage separation, EMR guarantees high data persistence for COS data storage, which is crucial for maintaining data integrity. Furthermore, EMR includes a robust monitoring system that quickly alerts you to cluster anomalies, promoting stable operations. Virtual Private Clouds (VPCs) offer an effective means of network isolation, enhancing your ability to plan network policies for managed Hadoop clusters. This comprehensive approach not only facilitates efficient resource management but also establishes a reliable framework for disaster recovery and data security.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache Cassandra
Yes
Apache Kafka
Yes
Elasticsearch
Yes
Google Cloud Bigtable
Yes
Tencent Cloud
No
Integrations
Apache Cassandra
No
Apache Kafka
No
Elasticsearch
No
Google Cloud Bigtable
No
Tencent Cloud
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Heroic
Website
spotify.github.io/heroic
Vendor Details
Company Name
Tencent
Founded
2013
Country
China
Website
intl.cloud.tencent.com/product/emr
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No