Technology has created countless advances that help today's businesses thrive. One of the best technological additions to your company is human resource software. There are many different reasons to add human resource software to your company including higher productivity, fewer errors, and easier access to data. But choosing human resource software can be difficult since so many different products are on the market today. With so many choices, you may have a hard time narrowing them down to the one that works best for you
Flexible, convenient, accurate, and integration with multiple Attendance devices i.e. Barcode, Biometric, RFID, Face Reader etc Attendance will help you get workforce management into shape. Our software is designed to effectively manage many difficult scheduling issues, like remote workers, drivers, distributed teams, and more.
We simplify the complicated world of scheduling, leave requests, and reporting while helping you maintain compliance in a rapidly changing world. Here are a few features of our Time and Attendance software:
Business rule-based options.
Multi-level, user-defined business policies.
Eliminates the need for timecards with PC/mobile/biometric options and more.
Electronic timecard management.
Unlimited user-defined scheduling.
Broad selection of standard reports.
MANUFACTURING ERP
END TO END Manufacturing cycle in user friendly interface. The functionality of manufacturing software varies based on the industry focus and the production process utilized. Most ERP and manufacturing solutions are placed into the categories of process manufacturing software, discrete manufacturing software, or mixed-mode manufacturing software. These different manufacturing categories directly relate to the production environment and whether this environment can be classified as continuous process, contract manufacturing, job shop, batch processing, repair and maintenance, repetitive, or work order based.
Some key features :
END to END Operational Activity.
Financial Reporting.
Administration module.
Payroll.
Account Payable/Receivable.
Many More
SMALL FINANCIAL SOLUTION
Are you having trouble moving from manual processes to a more transparent, automated portfolio analysis? Our software solution automates processes, enables compliance with changing regulations, and prepares you with accurate data analysis that improves real-time decision-making to enhance your bottom line.
Small business accounting software is the best way to record and manage the daily sales and purchase activities of any company. Application has a full control over the invoicing and inventory system of your business. Accounting information system can generate financial reports in several forms like inventory reports, sales reports, purchasing reports, ledger reports, company expenses reports and party reports. Billing management program can calculate ...
INVENTORY SOLUTIONS
Inventory control solution that lets you track tens of thousands of parts and products in multiple warehouses. It is the best choice for small and midsize businesses because of its seamless integration with Barcode, flexible feature set, and enormous library of training and support resources.
Inventory System is designed to handle every aspect of inventory management, providing the ability to track each step in the inventory life cycle from the time you create a purchase order for your supplier to the moment you ship the product to your customer. At the same time, Inventory Control System’s modular organization ensures flexibility and enables you to adapt the program to your specific needs.
Having Multiple inventory solution :
Auto Parts solution.
General Inventory.
WIP Process Inventory
FIFO, LIFO, Average Costing Method.
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Splunk SPLK-2002 : Splunk Enterprise Certified Architect test Questions and Practice Test
Practice Test Organized by Lee
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SPLK-2002 test Format | SPLK-2002 Course Contents | SPLK-2002 Course Outline | SPLK-2002 test Syllabus | SPLK-2002 test Objectives
Length: 90 minutes
Format: 85 multiple choice questions
Delivery: test is given by their testing partner Pearson VUE
- Introduction
- Describe a deployment plan
- Define the deployment process
- Project Requirements
- Identify critical information about environment, volume, users, and requirements
- Apply checklists and resources to aid in collecting requirements
- Infrastructure Planning: Index Design
- Understand design and size indexes
- Estimate non-smart store related storage requirements
- Identify relevant apps
- Infrastructure Planning: Resource Planning
- List sizing considerations
- Identify disk storage requirements
- Define hardware requirements for various Splunk components
- Describe ES considerations for sizing and topology
- Describe ITSI considerations for sizing and topology
- Describe security, privacy, and integrity measures
- Clustering Overview
- Identify non-smart store related storage and disk usage requirements
- Identify search head clustering requirements
- Forwarder and Deployment Best Practices 6%
- Identify best practices for forwarder tier design
- Understand configuration management for all Splunk components, using Splunk deployment tools
- Performance Monitoring and Tuning
- Use limits.conf to Excellerate performance
- Use indexes.conf to manage bucket size
- Tune props.conf
- Excellerate search performance
- Splunk Troubleshooting Methods and Tools
- Splunk diagnostic resources and tools
- Clarifying the Problem
- Identify Splunks internal log files
- Identify Splunks internal indexes
- Indexer Cluster Management and Administration
- Indexer cluster storage utilization options
- Peer offline and decommission
- Master app bundles
- Monitoring Console for indexer cluster environment
- Search Head Cluster
- Splunk search head cluster overview
- Search head cluster configuration
- Search Head Cluster Management and Administration
- Search head cluster deployer
- Captaincy transfer
- Search head member addition and decommissioning
- KV Store Collection and Lookup Management
- KV Store collection in Splunk clusters
- Splunk Deployment Methodology and Architecture
- Planning and Designing Splunk Environments:
- Understand Splunk deployment methodologies for small, medium, and large-scale environments.
- Design distributed architectures to handle high data volumes efficiently.
- Plan for redundancy, load balancing, and scalability.
- Indexers: Store and index data for search and analysis.
- Search Heads: Manage search requests and distribute them across indexers.
- Forwarders: Collect and forward data to indexers (e.g., Universal Forwarder, Heavy Forwarder).
- Deployment Server: Manages configurations for forwarders and other Splunk components.
- Cluster Master: Oversees indexer clustering for replication and high availability.
- Distributed Deployment:
- Configure indexer and search head clustering for redundancy and performance.
- Implement high availability (HA) through failover mechanisms.
- Design scalable systems with horizontal scaling (adding more indexers or search heads).
- Terminologies:
- Indexer Clustering: Grouping indexers to replicate data for redundancy.
- Search Head Clustering: Grouping search heads for load balancing and HA.
- Replication Factor: Number of data copies maintained in an indexer cluster.
- Search Factor: Number of searchable data copies in an indexer cluster.
- Bucket: A storage unit for indexed data (hot, warm, cold, frozen).
- Data Ingestion and Indexing
- Data Inputs Configuration:
- Configure data inputs (e.g., files, directories, network inputs, scripted inputs).
- Manage source types and ensure consistent event formatting.
- Handle data from various sources (syslog, HTTP Event Collector, etc.).
- Indexing Processes:
- Understand data parsing, indexing, and storage processes.
- Configure indexes for performance and retention policies.
- Optimize indexing pipelines for high-throughput environments.
- Data Integrity and Compression:
- Ensure data integrity during ingestion and indexing.
- Understand Splunks data compression (e.g., rawdata and tsidx files).
- Estimate disk storage requirements (e.g., rawdata ~15%, tsidx ~35% for syslog data).
- Source Type: Metadata defining how Splunk parses incoming data.
- Rawdata: Uncompressed event data stored in buckets.
- Tsidx: Time-series index files for efficient searching.
- Event Breaking: Process of splitting raw data into individual events.
- Hot/Warm/Cold Buckets: Stages of data storage based on age and access frequency.
- Search and Reporting
- Search Processing Language (SPL):
- Write and optimize complex SPL queries for searching and reporting.
- Use commands like stats, eval, rex, and lookup for data analysis.
- Knowledge Objects:
- Create and manage knowledge objects (e.g., saved searches, reports, dashboards, field extractions).
- Understand permissions and sharing of knowledge objects.
- Search Optimization:
- Optimize search performance in distributed environments.
- Configure search pipelines and limits (e.g., limits.conf).
- Use data models and accelerated searches for faster results.
- Knowledge Objects: Reusable components like searches, dashboards, and lookups.
- Data Model: Structured dataset for pivoting and reporting.
- Accelerated Search: Pre-computed summaries for faster search results.
- Search Head: Component that executes searches and renders results.
- Security and User Management
- Authentication and Authorization:
- Configure user authentication (e.g., LDAP, SAML, Splunk native).
- Manage roles, capabilities, and access controls.
- Data Security:
- Implement data encryption for Splunk Web, splunkd, and distributed search.
- Configure certificate authentication between forwarders and indexers.
- Audit and Compliance:
- Monitor audit trails for user activity and system changes.
- Ensure compliance with security standards.
- Role: A set of permissions assigned to users.
- Capability: Specific actions a role can perform (e.g., run searches, edit indexes).
- Splunkd: The core Splunk daemon handling indexing and search.
- KV Store: Key-value store for storing application data.
- Clustering and High Availability
- Indexer Clustering:
- Configure replication and search factors for data redundancy.
- Manage bucket replication and recovery.
- Search Head Clustering:
- Set up search head clusters for load balancing and HA.
- Use splunk apply shcluster-bundle and splunk resync shcluster-replicated-config for configuration synchronization.
- High Availability:
- Ensure continuous availability through failover and redundancy.
- Increase replication factor for searchable data HA.
- Cluster Master: Manages indexer cluster operations.
- Peer Node: An indexer in a cluster.
- Search Head Cluster: Group of search heads for distributed search.
- Raft: Consensus algorithm for search head clustering.
- Performance Tuning and Troubleshooting
- Performance Optimization:
- Increase parallel ingestion pipelines (server.conf) for indexing performance.
- Adjust hot bucket limits (indexes.conf) and search concurrency (limits.conf).
- Monitor system resources (CPU, memory, IOPS) for bottlenecks.
- Troubleshooting:
- Diagnose connectivity issues using tools like tcpdump and splunk btool.
- Analyze splunkd.log for deployment server issues.
- Resolve inconsistent event formatting due to misconfigured forwarders or source types.
- IOPS: Input/Output Operations Per Second, a measure of disk performance.
- Splunk Btool: Command-line tool for configuration validation.
- KV Store: Used for storing and retrieving configuration data.
- Monitoring Console: Splunks built-in tool for monitoring deployment health.
- Integration with Third-Party Systems
- Third-Party Integration:
- Integrate Splunk with Hadoop for searching HDFS data.
- Configure Splunk to work with external systems via APIs or add-ons.
- Data Sharing:
- Enable Splunk to share data with external applications.
- Use Splunks REST API for programmatic access.
- HDFS: Hadoop Distributed File System.
- REST API: Splunks interface for external integrations.
- Add-on: Modular component for integrating with specific data sources.
- Forwarder: Collects and sends data to indexers (Universal, Heavy, Cloud).
- Indexer: Processes and stores data for searching.
- Search Head: Manages search queries and user interfaces.
- Cluster Master: Coordinates indexer clustering.
- Replication Factor: Number of data copies in an indexer cluster.
- Search Factor: Number of searchable data copies.
- Bucket: Data storage unit (hot, warm, cold, frozen).
- Source Type: Metadata for parsing data.
- Rawdata: Uncompressed event data.
- Tsidx: Time-series index for efficient searches.
- Knowledge Objects: Reusable components like searches and dashboards.
- Data Model: Structured dataset for reporting.
- KV Store: Key-value storage for configurations.
- Splunkd: Core Splunk service.
- Btool: Tool for troubleshooting configurations.
- IOPS: Disk performance metric.
- HDFS: Hadoop file system for big data.
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Retail store owners operate on tight margins, and have many constantly moving parts. This becomes especially difficult to manage efficiently when using manual methods. A point-of-sale system is a great tool to manage all these moving parts while helping to ensure customer satisfaction, but finding the right POS for small business is no easy feat.
POS can help businesses in a variety of ways, including managing inventory, providing customer management data, identifying opportunities and weaknesses in the store and much, much more.
EMBRIODRY MANAGMENT SOLUTION
Embroidery’s Industries can utilize this embroidery management tool in a wide variety of ways which will insure that jobs are scheduled, processed, and delivered on time and with the maximum efficiency. This embroidery management software was developed with your business in mind - whether it be big or small - and can be customized to any unique needs you may have.
You may be a business owner or one of the project managers in an embroidery department, our embroidery management software will take the stress out of organizing and coordinating the activities of both you and your clients. An embroidery business can benefit greatly from embroidery management systems that offer ways to harmonize and coordinate multiple departments. To accomplish this, the embroidery management systems are integrated to allow the user to track various job control systems which may incorporate multiple program management structures.
Embroidery Management Capabilities:
Covering all Operational Activity.
Financial Reporting.
Employee Management.
Payroll.
Stiched wise Billing.
Invoicing.
HOSPITAL SOLUTION
It is a complete enterprise management solution that streamlines clinical, administrative, and financial operations of care delivery organizations, providing unprecedented opportunities for productivity, collaboration, and growth.
Whether your goal is to enhance the value of services to your patients, increase reimbursements, improve the overall efficiency of day-to-day operations, or simply stay ahead of compliance requirements,
