5 minute read
Innovating for a Changing World
ZIF is an AIOps solution that provides a 360-degree view of enterprise IT health, proactively detects incidents before they occur, and remediates them with minimal human interference. By focusing on eradication and proactive remediation of the incidents, ZIF enables organizations to trend towards a Zero Incident Framework™.
Read on about the 5 modules of ZIF and understand how it can help you stay ahead!
The 5 Modules of ZIF™
All five modules are modular in nature, and customers can pick and choose any or all depending on their pain points.
Auto Discovery and Dependency Mapping of Topology
ZIF auto-discovers devices and apps, and it builds a topological map of the IT landscape. The discovering capability involves Application Auto-Discovery and Dependency Mapping (ADDM), which discovers anomalies in applications. ZIF automatically discovers and maps the applications and topology of the end-to-end deployment, hop by hop. ZIF can integrate with the enterprise CMDB platform and keep it up to date.
ZIF also has the capability to auto-discover users and provides a real-time view of users of every application. ZIF also provides a dynamic topology mapping that auto-updates in real-time. It also provides interactive maps that highlight the exceptions and enables drill-down to the root cause.
Monitoring of the Enterprise Environment
ZIFhasfull-stackmonitoringcapability, which means it has provision to monitor all the layers of the IT infrastructure, like servers, storage, OS, network devices, APIs, containers, cloud, etc. ZIF has symptom-based and synthetic monitoring capabilities. It can identify signals and symptoms of an issue in advance as well as monitor proactively by simulating user transactions. It can suggest solutions to SMEs and/or take remedial actions accordingly. Server monitoring, database monitoring, log ingestion, etc can be done easily. ZIF also has Application Performance Monitoring capability, thus measuring the Application Health Index (AHI) and User Experience Index (UEI).
ZIF Monitor provides a single pane of monitoring for workloads that are spread across multi-cloud and hybrid environments. IT admin or server owner or application owner, need not go across multiple environments to monitor their workload, instead ZIF Monitor provides a single pane of the dashboard and provides the ability to set rules and receive notifications through centralized control.
ZIF End User Monitoring provides authentication to ensure the identity of the user who uses the laptop, desktop, VDI, etc. The ZIF End Point Agent (EPA) tracks productivity and monitors resource availability, like CPU, memory, top resource consumers, and top talkers via network. The EPA monitors the identity of the user and checks for user authenticity through biometric inputs at random or periodic intervals based on the predefined configuration.
Correlation and Noise Reduction
ZIF correlates all the alerts that come into the environment in real-time and finds the root cause of a particular issue. ZIF also has the capability of anomaly detection and the detection of false positives with end-to-end visibility into IT operations.
Unlike many AIOps platforms that perform these correlations through built-in rules that are configured, ZIF does this through pattern recognition and spatial clustering algorithms. It helps in reducing MTTI and MTTR. It also provides Tech-Bots, which mimics and automates user actions to improve productivity. A Pattern-Based Dynamic Threshold for alerts based on outliers is used.
The universal connector in ZIF is a low-code component that helps in the ingestion of data from various third-party monitoring tools.
Predictive Analytics
ZIF proactively predicts any potential failures or performance degradations at a minimum of 2 hours before it occurs. ZIF does this through unsupervised machine learning algorithms. ZIF also predicts incident volumes and usage patterns for up to a year. ZIF also takes into consideration seasonality while making predictions and provides recommended solutions. Advanced Intelligent Incident Analytics (AIIA) enables the identification of patterns and situations that precede an outage. ZIF can integrate with enterprise ITSM and messaging tools as well and prescribe a resolution. ZIF’s patented unsupervised learning algorithms help ZIF forecast capacity needs, predict ticket volumes, spikes, and resource utilization levels up to a year in advance.
ZIF’s predictive engine helps in increasing service availability by 95% by proactively detecting business services impact and reducing Mean Time to Resolve (MTTR) by a minimum of 60%, going up to 95%. ZIF’s prediction accuracy is more than 90% and has seen a reduction in P1 incidents. It has also helped clients in detecting 95% of high impact issues in advance.
Automation
ZIF has auto-remediation and self-healing capabilities. It has 250+ pre-built ITPA bots which perform various automation tasks. ZIF also has a workflow creator which enables clients to create their bots and workflows. ZIF also has capacity orchestration capability, which optimizes infrastructure based on usage, saves resources, and accelerates processes. One-Click Auto-Remediation automates any workflow that has a logical procedure, relieving engineers of routine tasks. Virtual Engineer enables faster resolution of simple and common issues by providing 24/7/365 support. passed as stream or batch. ZIF can create and process workflows dynamically while in production, and the ZIF bots can be used for faster resolution.
ZIF has a unified dashboard to view the health and status of all the applications that are deployed. It gives a holistic view of every application deployed across geolocations. The business value dashboard on the platform enables the CEOs to know the ROI achieved by having invested in our product. It displays various KPIs like OPEX, CAPEX, and MTTR reductions which have been achieved because of ZIF. Also, ZIF allows business owners to map Business Processes to Business Services in the platform. We call this the “Bird’s View” or “Business Process Overview”.
“ZIFTM: Unlock the maximum potential of your IT Operations with AI and Automation”
• Data Ingestion a. 30K messages per second (avg. payload size 0.4KB). b. Very low latency for processing, less than 200ms till DB persistence c. More than 150K devices support with 1-minute interval metrics
• Event Processing - 26K event processing per second, Average message size - 400 Bytes with 40 operational metadata from data injection till DB persistence
• Correlation Processing - 100K alerts processed for correlation in approx. 0.85 min
• Prediction Processing a. 6 weeks of historical data for a machine can be processed for for prediction in approx. 30 milliseconds
Being a predictive analytics platform, ZIF also showcases the Forecasted Status or Predicted Status of Business Processes & Services. ZIF can be installed with a single click ZIF can process events that are b. Single VM installation can support up to 53 K devices for a single counter prediction. A single counter message will be as low as 80 bytes
AIOps Unleashed: Breaking Down the Benefits of ZIF™
•ZIF helps in proactive detection for business continuity
•Efficient – A single pane of command to seamlessly run IT Operations
•Highly accurate: 90% accuracy - Accuracy by proactive IT Operations led by predictive insights
•Increases services availability by 95% by proactively detecting business services impact
•40% - Reduction in incidents and reduced incidents per user per month
•Reduced Mean Time to Repair (MTTR) by 60%
•Reduces overall IT Operation Costs by 50%
•End-to-end Monitoring - Agile - Monitoring & elimination of Digital Dirt
•Easy integration of ZIF with other third-party tools for data ingestion using the universal connector helps leverage prior investments made by clients
•60% increase in the productivity of the employees by the deployment of Automation bots
•No dependency on the product support team to develop new dashboards or widgets, they can be dynamically generated by users
•Increased revenue by providing a better user experience to end customers
