High Cardinality at Scale: Rethinking Observability for Cloud- native Environments. Download here
Time Series Database
Faster, Efficient, and easier to operate and Scale
Apica’s IronDB is a Time Series Database (TSDB) that offers unparalleled reliability, scalability, and speed, addressing the core needs of modern IT monitoring. It enables you to manage large-scale installations with millions of time series efficiently, ensuring that monitoring practices keep pace with the rapid evolution of technology and the increasing sophistication of cyber threats.
problem
Is limited visibility, data volume, and performant data hindering your IT monitoring?
Limited Visibility
Operators often lack comprehensive monitoring, relying on customer reports or manual checks for issue detection.
Massive Data Volume
The sheer number of devices and the complex architecture of modern infrastructure make it difficult to monitor telemetry effectively.
Reliability and Performance Concerns
The need for a highly reliable and performant telemetry data store is critical, especially during issue diagnosis.
BENEFITS
We Can Help. See How.
Enhanced Monitoring Capabilities
Apica provides a Time Series Database (TSDB) that is reliable, scalable, and fast, improving visibility across IT operations.
Seamless Data Integration
The recent enhancements enable ingestion of various data sources, facilitating interoperability with existing monitoring systems.
Robust Data Management
Features like data replication and clustering ensure that your telemetry data is always available, even during outages or maintenance.
How it works
Integration and Scalability Basis
Apica's IronDB TSDB has evolved to support the Graphite data format on ingestion, enhancing its capability to work alongside other data collection tools and monitoring systems. This advancement enables organizations to overcome the challenges of scaling and maintaining high availability metrics infrastructure, particularly during data surges, outages, or routine maintenance.
FEATURES
A whole spectrum of practical features
Replication Strategies
A common challenge in managing time series databases, like Graphite, involves the handling of nodes. The risk of data loss or inaccessibility during node outages, whether due to failure or maintenance, poses significant concerns. Traditional time series databases (TSDBs) may suffer from data unavailability and alerting issues during these periods.
IRONdb addresses this issue by maintaining multiple data copies across a cluster of nodes. When data enters, it is stored on the designated local node and simultaneously sent to other nodes based on predefined replication settings. This process, which runs in the background, ensures data availability even if a node goes offline.
Multi-Data Center Support
Building on its robust replication capabilities, IRONdb supports deployments across multiple data centers, ensuring data resides on nodes across different network segments or “Availability Zones.” This setup allows for continuous data availability and query capabilities, even if an entire zone goes offline. Upon recovery, downed nodes automatically sync missing data through background replication processes.
IRONdb’s distributed nature means data queries can be made to any node in the cluster, which will either fulfill the request with local data or reach out to other nodes for the required information. This flexibility, however, may be affected by the physical distance between data centers, potentially impacting data retrieval times.
Performance Insights
Performance metrics for databases can vary widely based on numerous factors, including hardware and data characteristics. While benchmarks provide a comparative insight, IRONdb encourages personal testing to gauge performance accurately.
In tests comparing IRONdb to other databases, IRONdb showed promising ingestion rates, potentially outperforming competitors under certain conditions. The results underscore IRONdb’s efficiency, especially when minimizing network latency in data transmission.
Data Integrity and Efficiency
IRONdb utilizes OmniOS and ZFS for its underlying file system, which offers advanced data protection, integrity checks, and compression capabilities. ZFS’s design to detect and correct data corruption ensures that IRONdb maintains high data integrity. Additionally, ZFS supports mirroring and striping, enhancing data resilience, and offers significant storage capacity with efficient space utilization through compression technologies.
Administration and Compatibility
IRONdb provides an administrative interface for insights into node activities, including ingestion rates, storage information, and replication latency. The UI also offers a detailed view of the database’s internal operations, aiding in performance optimization.
For Graphite users, IRONdb is compatible with Graphite-web 0.10 and later versions, offering a seamless integration path through a storage finder plugin. This compatibility extends to Grafana, allowing the use of Graphite as a data source for comprehensive data visualization and analysis.
Integrations
Graphite Data Format Support
Directly ingests and processes data in the Graphite format, streamlining data management for organizations using Graphite.
Compatibility with Graphite-web and Grafana
Facilitates easy integration into existing monitoring setups, enhancing the utility and extending the functionality of current systems without requiring significant changes or overhauls.
