Foglight for Cassandra
Foglight for Cassandra ensures the health of your Cassandra infrastructure
Comprehensive performance monitoring, alerting, diagnostics and analytics
Quickly and easily detect, diagnose and resolve performance issues — wherever, whenever and however they occur. Foglight for Cassandra provides intuitive, web-based dashboards that alert you to emerging issues that might affect performance or availability. Having a clear, enterprise-wide view helps you optimize cluster performance, node availability, storage capacity, reads and writes, and latency across all your physical, virtual and cloud-based Cassandra database servers.
Foglight offers unattended 24x7 data collection. Its agentless architecture and minimal footprint ensure overhead is negligible on monitored hosts.
Features
Cluster overview
Review all your Cassandra clusters from a single dashboard, including cluster structure, nodes, health status and key performance metrics. Drill down to expose details for any particular node.
Node overview
See a comprehensive view of your nodes, with health, alarm, configuration and performance information sorted by category. Review granular information on any node, or compare performance across nodes in the same cluster.
Keyspace views
Easily view all keyspaces in a cluster, for a selected node, or compare keyspaces across nodes. Quickly identify which objects are accessed most frequently, visualize read/write performance and diagnose latency.
Table views
View tables on a cluster or a node, along with aggregated performance information. Compare tables across different nodes with a single click. Receive alerts when performance counters deviate from baselines. Predict when additional capacity will be required.
Connection monitoring
Assess connection performance for all nodes in the cluster. Quickly identify nodes with the most dropped or large completed messages, along with other useful comparison metrics. Get alerts if timeouts occur, or if pending tasks create workflow bottlenecks.
JVM monitoring
Understand the performance of Cassandra’s underlying JVM with easy-to-read metrics. Optimize garbage collection to avoid memory, throughput and response time problems.
Client request monitoring
View how quickly Cassandra is servicing client requests. Receive alerts when client request failures occur, or timeouts exceed normal rates.
Comparison reporting
Easily identify configuration discrepancies by comparing node configurations against standard templates or historical data.
Automated change tracking
See all changes made to a node during a given time period — even through restarts — and determine how each change might have impacted performance.
Intelligent alerting
Avoid false alerts with adaptive Intelliprofile thresholds, which ensure alarms are only triggered when baselines are breached. Easily manage and annotate alarms, including scheduling blackouts for maintenance periods.
Easy troubleshooting
Speed problem resolution and discover chronic issues with embedded expert advice, along with easy search of your history of alarms and solutions.
Enterprise-scale monitoring
Monitor hundreds of Cassandra database servers from a single management server.
Low overhead
Execute data collection through remote agents that ensure minimal overhead (no more than 2% CPU) is added to monitored database instances.
High granularity
Ensure high-integrity data collection with frequent collections, or customize collection frequency to meet your business requirements.
Embedded repository
Store historical monitoring data in the embedded data warehouse — without needing to purchase or install additional database instances for storage of monitoring data. External repositories can be leveraged in larger deployments.
Tour
Node Overview
Node Table
JVM
Specifications
- Supported Cassandra Versions
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- Cassandra 2.1 and above
- Supported Deployment Locations
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- Both on-premises and cloud deployments
- Supported FMS Versions
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- Foglight Management Server (FMS) 5.7.5 or higher
Resources
Foglight for Cassandra
Rapidly detect, diagnose and fix issues across physical, virtual and cloud-based servers.
A Zombie's Survival Guide in a Changing Database World
With the rise of autonomous databases – and all the other scary changes in database management systems – you, as a DBA may be wondering whether you’re in the midst of a DBApocolypse. You are. And this is your definitive survival guide.
Financial services company boosts the business value of databases
AmTrust Financial Services monitors and improves database performance by relying on Quest® Foglight® software to deliver actionable, highly granular information to enable rapid issue resolution and team collaboration around database concerns.
The Importance of Continuous Monitoring in a DevOps Pipeline
A common challenge in many IT teams is the “blame game” where developers blame DBAs for stability and performance issues and vice versa. What if you had complete visibility and continuous monitoring to understand the root cause of database issues?
Key Methods for Managing Complex Database Environments
This white paper addresses key methods for successfully managing today’s complex cross-platform database infrastructures.
Database Professionals Look To The Future: 2020 Trends in Database Administration
To gain insight into the evolving trends and challenges for database professionals in 2020, Quest commissioned Unisphere Research to survey PASS members – the database professionals responsible for the management of the corporate data management infrastructure. The results are in and the thoug
Free E-book: The DBA’s Guide to the Cloud, Open Source and DevOps
Under pressure to modernize your database environment? As businesses search for new ways to cut costs, DBAs are feeling the pain. While the cloud and open-source databases are great for the bottom line, taking on unfamiliar database platforms isn’t so great for your stress level. You’ll
DBAs Face New Challenges: Trends in Database Administration
To gain insight into the evolving challenges for DBAs, Quest commissioned DBTA to survey DBAs and those responsible for the management of the corporate data management infrastructure. The results are in and the thought-provoking findings are now available
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