MapR Control System (MCS) is a simple and unified interface for managing all data for any infrastructure with 24/7 monitoring. Using MCS, administrators have greater control of the end- to-end life cycle of cluster management. MCS uses intuitive workflows that simplify platform configurations for business continuity and provides built-in security. In MapR 6.0, MCS expands on the Spyglass initiative by co-relating events with metrics and logs, and by providing actionable recommendations.
Administrators today are looking for not only high-level cluster health indicators but also granular information for making quick and effective decisions. Built on MapR monitoring, MCS gives administrators an out-of-the-box overview of critical metrics to determine cluster health. This coupled with co-related alarms on a single timeline gives administrators all the information they need to do root cause analysis. MCS also shows overall usage trends to help with common administrative tasks around cluster planning and optimal resource utilization.
MapR offers the industry’s only unified management interface for managing volumes, tables, and streams. As a result, it’s never been easier to build powerful applications with granular data access control on top of a global namespace.
Customers love MapR for built-in high availability, disaster recovery, and data protection features. MCS makes these workflows easier with a redesigned interface and makes it intuitive for administrators to configure replication, snapshots, and mirrors with preset defaults and single clicks.
MapR Converged Data Platform is an administrator’s dream due to its ability to self-heal and recover from critical events. With categorized alarm severity levels in MCS, administrators now have a way of knowing which events they need to worry about and which ones the system will take care of. Additionally, actionable recommendations per event, integrated documentation, and a log viewer give administrators more than one way to get to the bottom of the problem and take quick action wherever required.
User-centric design. With a laser focus on user experience, MCS has been designed to streamline common user workflows. All user actions are built with preset defaults and categorized with common templates to make these actions intuitive and repeatable with less learning.
New dashboard with alarm co-relation. The cluster dashboard is the most used part of the application. In MCS, it offers a birds-eye view of critical cluster information, including utilization and resource metrics, YARN statistics, node health by service and by topology, and active alarms. The active alarms are now part of the metric chart timeline that helps administrators identify the data points around critical cluster events. Each alarm details the entities affected, a description of the alarm, and recommended next steps to resolve the issue.
Template-based workflows for volume, table, and stream management. The MCS user interface benefits from a template-based workflow design, which makes all common data management actions intuitive. Whether the user wants to create a volume, table, or stream, the experience is consistent and seamless, and the learning curve for day-to-day actions is drastically reduced.
The MCS user interface provides a view of capacity trends and resource usage and is backed by our scalable monitoring engine. Administrators can not only plan for overall cluster capacity but also see the top volumes used, which users/groups are using the most resources, and how usage is trending per volume.
MCS also helps you track resource utilization (CPU, memory) per node and identify heavily used nodes that can affect topology mappings. All other host metrics can also be visualized for trend analysis. MapR-DB and MapR-ES operations per node also help identify hot-spots. For YARN, apart from knowing the overall resource manager metrics for container allocation, administrators can quickly see top YARN queues and find the busiest and least busy user queues. For services like Drill, it shows granular metrics for fine-grained analysis of query execution and resource impact.
Direct access to services logs. MCS helps users troubleshoot issues by pinpointing the necessary logs with a single click. Depending on whether you want to look at specific services logs or services logs on a single node, it has pre-built filters with these parameters that help drastically reduce mean time to repair (MTTR).
Overview: Enjoy a consistent workflow design for files, tables, and streams and drastically reduce day-to-day operational complexity.
Nodes: Monitor cluster health and node-level resource utilization in nodes view.
Volumes: Analyze where the data is with volumes view. See top consumers, trends, and data distribution.
Volume Detail: Dig deeper into volumes and analyze usage trends, alarms, and configurations at a per-tenant level.
Streams: Enjoy a consistent workflow design for files, tables, and streams and drastically reduce day-to-day operational complexity.
YARN: Analyze, troubleshoot, and optimize your big data jobs from a single pane of glass.