Our proprietary end-to-end solutions for IoT Analytics are powered by our patent-pending semiotic parsing language (SPL) and SCALAR hyper scale platform. Our platform enables our clients to ingest, parse and analyze complex machine data logs of usage, performance, configuration, and settings information. It can handle all types of machine log data, regardless of variety (structured, unstructured or semi-structured), velocity (streaming and batch uploads), and volume (retention over 3-4 years or more).
A centralized cloud repository for all log files, giving you a single point of access and management for all of your machine data that is deeply integrated with other tools and solutions on the Glassbeam Platform.
Centralized store for historical log data stored in original format.
Quick filters to search for a log of interest.
Ability to download one or more log files/bundles from the vault.
Aggregate data from multiple sources, regardless of format.
Allow a single point of access to all log files for quick retrieval.
Integrate log vault with other apps for quick and efficiency workflows.
A unified search and log viewing solution that simplifies the task of querying and reviewing large volumes of diverse structured and unstructured machine data, allowing you to retrieve, organize, and combine log information from multiple sources, regardless of device or format, for analysis.
Perform powerful searches using keywords and Boolean parameters.
Explore logs and other machine data in both time series and multi-structured formats.
Correlate data from multiple sources such as CRM, case history, bug database, and knowledge base.
Reduce MTTR dramatically by effective root-cause analysis.
Reduce tribal knowledge and empower L1 engineers to resolve complex issues.
Share data seamlessly across Support, Engineering and Field Organizations.
A versatile data visualization and analytics application that combines powerful calculation functionalities with intuitive drag-and-drop usability, allowing you to not only graphically present parsed machine data, but perform ad-hoc analysis to uncover deep insights and underlying correlations.
Use intuitive drag-and-drop interface for quick and easy ad hoc, visual analysis.
Run new calculations on existing data and make one-click forecasts.
Perform trend analyses, regressions, correlations, and more.
Discovery of deep insights and hidden correlations in underlying machine data.
Smart and business impactful visualization of parsed machine data.
Fast deployment from raw data to presentable graphs for business use cases.
A robust suite of productivity apps that enables support teams to filter and organize parsed machine log data for customized issue-specific views, enhancing their troubleshooting capabilities by reducing MTTR and creating templates and references for best practices.
Slice and dice log file data to get custom views of operational metrics.
Save specific Views as best practice templates with KB documents.
Filter by rows and columns and transpose views to get accurate representations of data.
Reduce MTTR dramatically by quickly identifying root cause of any issues.
Persists custom views to enable speedy troubleshooting in the future.
Save Views as guidelines for best practices for entire organization.
RULES & ALERTS
A powerful rules engine that enables your support personnel to proactively manage and address critical operational issues through improved systems monitoring with the aid of real-time processing of incoming machine data and highly configurable and advanced alert conditions.
Real-time rules evaluation with streams – in the path of parsing.
Powerful backend that allows for complex rules to be configured.
Modern architecture that enables rules to be set up from data across multiple sources.
Increased support efficiency (cases/engineer) with workload shifted from L3 to L1/L2.
Tremendous ROI with support automation through automatic case opening in CRM (e.g SFDC).
Reduced tribal knowledge with centralized repository of all operational data rules.
REMOTE ACCESS & CONTROL
Securely access devices in remote locations and easily monitor key parameters in real-time. Seamlessly take control of these devices, troubleshoot problems and proactively avert downtime incidents.
Make devices truly IoT-connected in a secure way.
Remote Access and Control, as well as Alert Management.
Provision devices seamlessly and manage them remotely.
Optimize performance and maintenance of connected assets.
Easily administer numerous maintenance and upgrade activities.
Get the single source of truth for device performance and usage trends.
State-of-the art predictive capabilities using powerful and versatile machine learning technology. Avail of complex models for real-time anomaly detection and conduct true predictive and prescriptive maintenance.
Automated machine learning and big data predictive analytics.
Leverage state-of-the art machine learning and predictive modelling capabilities.
Easy setup and use – no need for technical or statistics skills.
Automate the work of many data scientists.
Constant learning feedback loop resulting in regular update of model.
Easy access to results and predictive scores without need for programming.
Professional application development services that build custom tools and analytics solutions according to your specifications, all leveraging the power of the Glassbeam's proprietary technology and domain expertise.
Custom applications tailored to your needs and built to your specifications.
Rapid deployment in a time frame of days, not months.
Template apps for capacity planning, performance, version control, install base summary, etc.
Create insightful analytics using our powerful tools and domain expertise.
Understand machine performance to build better products and accelerate time to market.
Identify usage patterns and version adoption to upsell customers.