We are now an AI-first company, leveraging advanced artificial intelligence to drive business transformation. While AI is our primary focus, we continue to support Kubernetes environments—including tools like k8sgpt—and implement modern GitOps practices for reliable, automated infrastructure and application management.
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Keeping accounts safe is core to EZ-QDAi. Our custom email/password flow combines client-side hashing, strong server-side hashing, and a staged activation process to protect credentials end-to-end.
1) Client-side SHA-256: Never Send Raw Passwords Over The Wire
When users log in (e.g., first-time login using a temporary password), the browser hashes the entered password with SHA-256 before sending it to the server. This provides an extra layer of protection beyond HTTPS by ensuring the raw password is never transmitted in plaintext.
Password → SHA-256 in the browser
Server receives only the hex-encoded hash
HTTPS still required and enforced for transport security
2) Server-side bcrypt with Per-User Salt
On the backend, EZ-QDAi uses bcrypt to securely store passwords. Bcrypt is a slow, memory-hard password hashing function designed to resist brute-force attacks.
Each password is hashed with a unique per-user salt
Cost factor is tuned to $2b$12$ (work factor 12) for strong security on modern hardware
New signups receive a time-bound activation link and a temporary password is generated upon activation. Users must log in with that temporary password and immediately change it.
Activation token: single-use, expires after a short window
Temporary password: valid only until first successful change
Mandatory password change: enforces creation of a long-term secret known only to the user
4) Defense-in-Depth Summary
HTTPS protects in-transit data
Client-side SHA-256 avoids transmitting raw passwords
Server-side bcrypt + salt defends at-rest credentials
Discover how AI is revolutionizing IT operations in our comprehensive guide to AIOps. This essential book covers everything from implementing AI-powered monitoring and automation to building intelligent incident response systems that can predict and prevent issues before they impact your business.
What You'll Learn:
AI-Powered Monitoring: Implement intelligent monitoring that learns from your environment
Predictive Analytics: Anticipate and prevent issues before they occur
Automated Incident Response: Build systems that can resolve issues automatically
Intelligent Root Cause Analysis: Use AI to quickly identify the source of problems
Performance Optimization: Continuously improve system performance with AI insights
Perfect for: DevOps engineers, IT managers, SREs, and anyone looking to modernize their IT operations with AI.
In today's fast-paced business environment, organizations struggle with scattered knowledge, inefficient documentation, and the challenge of making information accessible to the right people at the right time. Traditional knowledge management systems often fall short, requiring manual categorization and offering limited search capabilities. That's why we developed AIWiki—our intelligent knowledge management platform that revolutionizes how organizations capture, organize, and leverage their collective knowledge.
What is AIWiki?
AIWiki is an AI-powered knowledge management and project management platform that combines the best features of traditional wikis with cutting-edge artificial intelligence. Think of it as JIRA/Confluence, but enhanced with intelligent automation, smart search, and seamless integration with your existing workflows. AIWiki automatically processes, categorizes, and connects information, making knowledge discovery effortless and collaboration more effective.
Key Features of AIWiki:
Intelligent Document Processing: Automatically analyzes and categorizes documents, extracting key information and relationships
Semantic Search: Find information using natural language queries instead of exact keywords
Smart Knowledge Graph: Automatically builds connections between related documents and concepts
AI-Powered Q&A: Ask questions in plain English and get accurate, contextual answers from your knowledge base
Automated Summarization: Generate concise summaries of lengthy documents and discussions
Seamless Integration: Connects with existing tools and workflows without disruption
Entity Recognition: Automatically identifies and tags important entities like people, projects, and technical terms
How AIWiki Transforms Knowledge Management:
Traditional knowledge management systems require manual organization and maintenance, often becoming outdated quickly. AIWiki takes a fundamentally different approach by using AI to automatically understand, organize, and connect information. When you upload documents or create content, AIWiki's intelligent algorithms analyze the content, extract key concepts, identify relationships, and make the information searchable and accessible through natural language queries.
Benefits for Your Organization:
Reduced Knowledge Silos: Break down barriers between departments and teams
Faster Information Discovery: Find relevant information in seconds, not hours
Improved Decision Making: Access comprehensive, contextual information when you need it
Enhanced Collaboration: Teams can easily share and build upon each other's knowledge
Reduced Training Time: New employees can quickly find answers to their questions
Preserved Institutional Knowledge: Capture and retain knowledge even when team members leave
Scalable Solution: Handle growing knowledge bases without proportional increase in management effort
Real-World Applications:
AIWiki is particularly valuable for organizations with complex technical documentation, multiple teams working on related projects, or extensive knowledge bases that need to be accessible across departments. It's ideal for software development teams, consulting firms, research organizations, and any business that relies heavily on knowledge sharing and collaboration.
AI-Powered Q&A System:
One of AIWiki's most powerful features is its intelligent Q&A system. Instead of searching through documents manually, users can ask questions in natural language like "What are our deployment procedures for the production environment?" or "How do we handle customer escalations?" AIWiki will analyze your entire knowledge base and provide accurate, contextual answers with references to the source documents.
Getting Started with AIWiki:
Getting started with AIWiki is designed to be seamless. The platform can integrate with your existing documentation systems, automatically importing and processing your current knowledge base. AIWiki's intelligent algorithms will begin organizing and connecting your information immediately, making it more accessible and useful from day one.
Try AIWiki Today:
Experience the future of knowledge management firsthand. Visit our AIWiki page to see a live demonstration and learn how this revolutionary platform can transform how your organization manages and leverages knowledge.
Ready to revolutionize your knowledge management? Contact us to learn how AIWiki can be customized for your specific needs and integrated with your existing workflows.
In today's complex IT environments, log analysis has become a critical yet time-consuming task. Traditional log monitoring tools often require extensive manual configuration and provide limited insights. That's why we developed AILog—our AI-powered log analysis and monitoring solution that transforms how organizations understand and respond to their system data.
What is AILog?
AILog is an intelligent log analysis platform that leverages advanced AI to automatically process, analyze, and interpret log data from various sources. Unlike traditional log management tools that require predefined rules and patterns, AILog uses natural language processing and machine learning to understand log content contextually and provide actionable insights.
Key Features of AILog:
Intelligent Log Processing: Automatically analyzes log files without requiring predefined patterns or rules
Natural Language Summaries: Converts complex log data into human-readable summaries and insights
Two-Phase Analysis: First generates a high-level overview, then provides detailed technical analysis
Real-time Monitoring: Processes the most recent log entries for immediate issue detection
Multi-Format Support: Handles various log formats and structures automatically
Contextual Understanding: Uses AI to understand the meaning and significance of log entries
How AILog Works:
AILog employs a sophisticated two-phase analysis approach. In the first phase, it processes the most recent log entries (typically the last 100 lines) and generates a comprehensive overview of system activity. This includes identifying patterns, anomalies, and potential issues. In the second phase, it provides detailed technical analysis with specific recommendations and actionable insights.
Benefits for Your Organization:
Reduced MTTR: Faster problem identification and resolution through intelligent analysis
Proactive Monitoring: Detect issues before they impact users or services
Reduced Manual Effort: Eliminate the need for manual log parsing and pattern recognition
Improved Decision Making: Get clear, actionable insights instead of raw log data
Scalable Solution: Handle growing log volumes without proportional increase in effort
Cost Effective: Reduce the need for specialized log analysis expertise
Real-World Applications:
AILog is particularly valuable for organizations dealing with complex microservices architectures, cloud-native applications, and distributed systems. It can help DevOps teams quickly identify the root cause of issues, monitor application performance, and maintain system reliability across multiple environments.
Getting Started with AILog:
Getting started with AILog is straightforward. Simply upload your log files or provide access to your log streams, and AILog will begin analyzing your data immediately. The platform is designed to work with existing logging infrastructure, making integration seamless and non-disruptive.
Try AILog Today:
Experience the power of AI-driven log analysis firsthand. Visit our AILog page to see a live demonstration and learn how this revolutionary tool can transform your log management strategy.
Ready to revolutionize your log analysis? Contact us to learn how AILog can be customized for your specific environment and requirements.
AIOps is our custom-built, AI-enhanced DevOps platform designed to revolutionize infrastructure management. With natural language input, secure credential handling, and direct API execution, AIOps empowers teams to automate complex workflows, maintain real-time state tracking, and resolve issues proactively—without relying on traditional CLI tools. The platform features autonomous state reconciliation, interactive clarification loops, and robust audit logging, making it the ultimate tool for modern IT operations. More features and integrations are coming soon. Contact us to learn how AIOps can transform your business.
As a remote-first company that connects talented IT professionals with US-based clients, we understand the unique challenges and opportunities of remote interviewing. Success in these interviews requires not just technical skills, but also cultural awareness, communication clarity, and the ability to demonstrate value across time zones and cultural boundaries.
Key Strategies for Remote IT Interviews:
Technical preparation with hands-on coding and system design
Clear communication and active listening skills
Cultural awareness and professional etiquette
Demonstrating problem-solving approach and methodology
Showcasing relevant experience and project examples
Preparing thoughtful questions about the role and company
At KenchLightyear, we've helped numerous IT professionals successfully navigate remote interviews with US clients. Our experience shows that candidates who prepare thoroughly, communicate clearly, and demonstrate both technical competence and cultural adaptability have the highest success rates.
Watch our interview preparation series:
This comprehensive playlist covers various aspects of IT interviewing, from technical questions to behavioral scenarios, helping you prepare for the specific challenges of remote interviews with US companies. Whether you're a seasoned professional or just starting your remote work journey, these resources will help you showcase your skills effectively.
In today's increasingly complex digital landscape, network security has become paramount for businesses of all sizes. Omada Network Security solutions provide enterprise-grade protection that scales with your organization's needs, offering comprehensive security features without the enterprise price tag.
Key Features of Omada Network Security:
Advanced threat detection and prevention
Centralized management and monitoring
Scalable architecture for growing businesses
Integration with existing network infrastructure
Real-time security analytics and reporting
Compliance-ready security frameworks
As an AI-driven company, we understand the importance of intelligent security solutions that can adapt to evolving threats. Omada's approach to network security aligns perfectly with our philosophy of delivering enterprise-grade technology solutions that are accessible and affordable for businesses at every stage of growth.
Watch the video above to learn more about Omada Network Security solutions and how they can protect your organization's digital assets. Our team can help you implement and configure these security solutions to meet your specific business requirements.
In just a few focused hours, we completely transformed our website using Cursor AI as our development partner. What would have taken weeks of traditional development was accomplished in hours, demonstrating the power of AI-assisted coding for rapid business transformation.
Key Achievements:
Migrated from Python to Rust for email functionality, improving performance and security
Implemented GDPR-compliant cookie consent with minimal JavaScript
Enhanced mobile responsiveness with proper dropdown navigation
Refined AI-driven messaging while maintaining traditional IT outsourcing capabilities
Fixed broken links and improved overall site navigation
Optimized logo sizing and header layout for better user experience
The collaboration with Cursor AI showcased how modern development tools can accelerate business transformation. Every change was implemented with precision, from backend Rust integration to frontend UX improvements, all while maintaining our commitment to being an AI-driven company that delivers both cutting-edge AI solutions and reliable traditional IT services.
Want to learn more about Cursor AI? Check out this comprehensive playlist of Cursor tutorials and tips:
This playlist contains valuable resources for developers looking to leverage AI-assisted coding tools like Cursor to accelerate their development workflow and improve productivity.
We are sharing with the community the Nagios Plugins we have written for Kubernetes which focus on Prometheus. We moved some projects to GitLab after Microsoft acquired GitHub, valuing GitLab’s support for free private repositories for sensitive projects. Today, both platforms offer strong open source and privacy features.
Please click on the title to take you to the Gitlab repository.
Monitoring is the foundation of Service Reliability. You will only know there is a problem when users complain. The objective of monitoring is to detect problems before users notice them. This way you will have time for decision-making on how to address the impending incident.
The owner of one of the largest banks in the country once said that his company is a technology company with financial-domain expertise. The board laughed at him in secret. Today, his bank is leading in embracing technology, proving that his vision is essential for companies to survive.
As we move towards a more containerized and microservices-based architecture, the importance of cloud-native development practices becomes increasingly clear. Kubernetes has emerged as the de facto standard for container orchestration, and with it comes a new paradigm for application development and deployment.
In this article, we explore the key principles of cloud-native development and how organizations can successfully transition to this modern approach.
The debate between open source and proprietary software has been ongoing for decades. While proprietary solutions often come with enterprise support and polished interfaces, open source alternatives can provide comparable functionality at a fraction of the cost.
We examine the factors that should influence your decision and share real-world examples of successful open source implementations.
DevOps isn’t just for large enterprises with dedicated teams. Small organizations can also benefit, often achieving even greater impact thanks to their agility and ability to implement changes quickly.
Learn how small teams can implement effective DevOps practices without overwhelming complexity or excessive tooling.
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Jubernetes Lightyear
Kirsten Lightyear
