Automated lifecycle management, cost optimization, robust security, and seamless scalability empower developers and engineers to tame complex data environments.
Data management can be tedious and time-consuming for developers, engineers, and architects. As data volumes grow exponentially, organizations struggle to store, organize, govern, and extract value from their data. Manually managing these processes takes valuable time away from focusing on core development responsibilities.
The 53rd IT Press Tour met with Rimage to learn about its innovative solution to simplify data management. Its AI-powered data management platform streamlines the entire data lifecycle — from ingestion to archival and everything in between. Here's an overview of Rimage and the key benefits it provides for developers, engineers, and architects.
Automated Data Lifecycle Management
Rimage leverages AI algorithms to automate various data management tasks:
Data discovery and classification
Intelligent data tiering
This automation enables developers, engineers, and architects to spend less time on data wrangling. Rimage's platform handles the complexity so technical teams can focus on building applications.
Reducing Data Storage Costs
As data volumes explode, storage costs can spiral out of control. Rimage offers intelligent optimization to curb unnecessary spending. Its AI-based algorithms automatically analyze data access patterns to implement policies that lower costs.
For example, rarely accessed data can be automatically moved from expensive high-performance storage tiers to more economical options like object storage or tape. The algorithms also identify duplicate data sets to eliminate redundant copies. This prevents waste from multiple copies of the same data residing in costly storage.
Additionally, Rimage enforces data retention policies to delete unused datasets based on age or last access date. This keeps the overall data footprint in check over time. Together, these techniques can reduce overall storage costs by over 60% compared to traditional non-optimized approaches.
Built To Scale Seamlessly
Rimage's data management platform leverages a flexible, distributed architecture that scales out limitlessly on demand. It is designed to meet the explosive data growth and performance needs of large global enterprises.
The platform adds storage and compute capacity to align with increasing data volumes. Performance also scales linearly with additional nodes to handle heavy workloads. The tiered storage model balances high-speed and archival storage media for optimal cost and performance.
Moreover, Rimage employs a multi-cloud approach, spanning private data centers and public clouds. Data ingestion, processing, and access can be distributed for maximum throughput and responsiveness. Emerging edge locations are also seamlessly incorporated to enable local processing.
In essence, enterprises can start small with Rimage and expand the deployment seamlessly as requirements evolve. The distributed cloud-native architecture provides unlimited headroom for growth.
Performance at Scale
To optimize speed and efficiency at scale, Rimage fine-tunes data placement, migration, and processing by leveraging telemetry data. The platform collects comprehensive metrics on data lifecycle operations down to infrastructure utilization trends.
Sophisticated analytics and ML-based simulations then model optimal policies for placement, movement, retention, and disposal. These data-driven recommendations boost efficiency even with thousands of concurrent data transactions.
Rimage is purpose-built for elastic scale, responsiveness, and efficiency at massive enterprise data volumes. Its AI-powered automation also minimizes manual tuning as utilization ramps up across a globally distributed footprint.
Archival Storage Support
To archive cold data, Rimage integrates specialized archival storage media like optical discs and magnetic tape. These solutions have very low operating costs but are still highly reliable for long-term retention.
Seamless integration with archive tiers combined with proactive data tiering enables huge cost savings. For example, by tiering 30% of aging data to optical discs, organizations can achieve up to 70% reduction in power consumption and storage costs.
In essence, Rimage not only automates and simplifies data management but also optimizes infrastructure spending through its smart data tiering algorithms. The savings directly boost the bottom line.
Detailed Analytics and Insights
Rimage offers data analytics and visualizations, providing deep visibility into data usage patterns. Technical teams can analyze data access trends and fine-tune data management strategies accordingly.
These insights help answer questions like:
Which applications generate the most data?
What are the data hotspots and cold storage patterns?
How can data lifecycle policies be optimized?
Compliance and Security
With growing data privacy regulations, compliance and security are top data management priorities. Rimage provides a robust set of data security capabilities, including encryption, access controls, data masking, and data governance guardrails.
It also ensures compliance with regulations such as GDPR, HIPAA, and CCPA. Technical teams can prevent data breaches and avoid regulatory penalties.
Enabling Seamless Collaboration
Organizations often struggle with scattered data silos that hinder collaboration. Rimage consolidates data assets into a unified platform to promote seamless sharing across teams and tools.
Its flexible data architecture presents a single source of truth for the enterprise data estate. All authorized users access standardized, trustworthy data sets without duplication. Collaboration is streamlined by eliminating version sprawl or situations where teams cannot find the latest authoritative data.
Moreover, fine-grained access controls and permissions foster controlled data sharing. Specific teams or external partners can securely access designated data sets relevant to their scope. Rimage also tracks usage analytics to optimize platform policies and storage infrastructure for collaboration patterns.
Integrating Tools and Teams
To connect workflows, Rimage seamlessly plugs into the dev, test, and deployment toolchain. It enables smooth handoffs between tools like GitHub, Jenkins, and productivity suites via APIs.
Common data services allow the movement of datasets between multiple environments without delay. Rimage also applies appropriate protections and anonymization to ensure security and compliance at each stage.
In essence, Rimage breaks down siloed data and tools to enable nimbler collaboration. Standardized data management, universal visibility, and deep integrations streamline teamwork across functional boundaries. Rimage ultimately saves time spent on ineffective collaboration for more meaningful innovation.
Simplified Data Migration
With Rimage, migrating data across storage infrastructure or cloud environments is straightforward. Its platform automates much of the heavy lifting during storage migrations and eliminates downtime. This simplifies moving data from legacy storage to new solutions or across multi-cloud environments.
In summary, Rimage takes the complexity out of data management with AI automation, actionable insights, robust security, and seamless integrations. It empowers technical teams to stop wasting cycles on data wrangling and focus on innovation. With Rimage's unified data management platform, developers, engineers, and architects can finally tame the data deluge.