Virtualan Software

17 (Advanced) RAG Techniques to Turn Your LLM App Prototype into a Production-Ready Solution #virtualan #llm #virtualanai #rag https://lnkd.in/gSDQe6bw

How #Amazon and #Google view CI/CD in an entirely different way #virtualan #cicd “CI/CD” stands for Continuous Integration (#CI) and Continuous Delivery (CD). Basically, how does a code change make it from a local developer workspace to being deployed to production. https://lnkd.in/gKFdDR9G

Most-Used Distributed System Design Patterns #virtualan #designpatteren #distributedsystem https://lnkd.in/dCZ4wAf2

AI-driven #testautomation can lead to approximately 70% #costsavings by enhancing efficiency, accuracy, and scalability across various stages of the software testing lifecycle. Here’s a breakdown: #virtualan 1. Reduction in Manual Testing Efforts Automated Test Execution: AI can automate repetitive and mundane test cases, drastically reducing the need for manual testing. Continuous Testing: AI enables continuous testing throughout the development cycle, identifying defects early and reducing the cost of late-stage bug fixes. 2. Faster Time to Market Rapid Test Case Generation: AI can quickly generate a wide array of test cases based on historical data, covering more scenarios in less time. Parallel Testing: AI-driven tools can execute multiple tests simultaneously, significantly speeding up the testing process. 3. Improved Test Coverage and Accuracy Smart Test Case Selection: AI can identify and prioritize the most critical test cases based on risk assessment, ensuring higher test coverage. Error Detection: AI’s ability to learn from past data allows it to identify and predict potential issues more accurately, reducing the number of undetected defects. 4. Efficient Maintenance of Test Scripts Self-Healing Scripts: AI can automatically update test scripts in response to changes in the application, reducing the maintenance burden. Dynamic Adaptation: AI can adapt to changes in the application environment and user behavior, ensuring that test scripts remain relevant and effective. 5. Resource Optimization Reduced Human Resource Costs: By automating repetitive tasks, AI allows human testers to focus on higher-value activities like exploratory testing and test strategy. Optimal Resource Allocation: AI can predict resource needs and optimize the allocation of testing resources, reducing unnecessary expenditure. 6. Enhanced Decision Making Data-Driven Insights: AI provides valuable insights through advanced analytics, helping organizations make informed decisions about test planning and execution. Predictive Analysis: AI can forecast potential failures and performance issues, allowing preemptive action to mitigate risks and costs. 7. Scalability and Flexibility Scalable Testing: AI-driven tools can handle an increasing number of test cases and scenarios without a corresponding increase in costs. Flexibility in Deployment: AI solutions can be easily integrated with various development and testing environments, providing flexibility and reducing integration costs. 8. Continuous Improvement Learning from Feedback: AI systems can learn and improve from testing outcomes, continuously enhancing their effectiveness and efficiency. Adaptive Testing: AI can adapt its testing strategies based on real-time data and feedback, ensuring ongoing optimization of testing processes. By leveraging these capabilities, AI-driven test automation can deliver substantial cost savings while maintaining or even enhancing the quality and reliability of software applications.

How it was Decreased Monthly AWS Costs from $10,000 to $1,500 #aws #costoptimization #virtualan https://lnkd.in/gESw6khg

Building a Self-corrective RAG app with LangGraph Cloud In this tutorial, we create a Self-Corrective RAG application for answering questions about Pandas documentation using #LangGraph Cloud. We implement ideas from both self-RAG and corrective #RAG to flexibly handle model hallucinations. You'll see how to check for hallucinations after an answer is generated, and check for answer relevancy before returning the user question. Video: https://lnkd.in/gq-pFCAj GitHub repo: https://lnkd.in/g2-mU5jG Notebook: https://lnkd.in/gDnUTNv7 #virtualan #langchain

High-Level steps to build the #serverless web app in #AWS #lamda #serverless #website #virtualan Here is a simplified overview of the steps involved in building this serverless application. You can refer to the video recording for the detailed steps: 1. Create an S3 bucket and configure website hosting. Upload the static website files (HTML, CSS, JavaScript) to the #S3 bucket. 2. Purchase a domain name and configure Route 53 to manage the DNS records for your domain. 3. Obtain an SSL certificate from ACM for your domain name. 4. Create a CloudFront distribution and configure it to serve content from the S3 bucket with website hosting enabled. 5. Create an API Gateway and define an API resource. 6. Create a Lambda function to handle API Gateway requests. The Lambda function should process the request data and interact with DynamoDB. 7. Create a DynamoDB table to store the data submitted from the website’s contact form. 8. Configure IAM roles to grant the #Lambda function permission to interact with #DynamoDB. https://lnkd.in/gYSd5Unb

Summary This lists and briefly describes various cyber security tools, highlighting their primary functions and features. The tools mentioned include: 1. OpenVAS: A vulnerability scanner that performs over 4000 tests and provides detailed reports on discovered vulnerabilities. 2. SQLMap: A tool for database exploitation that automates SQL injection and can dump database contents and crack password hashes. 3. AIRCRACK-NG: A WiFi network security tool that can recover WEP/WPA/WPA keys and monitor wireless networks. 4. MALTEGO: A data mining and OSINT tool. 5. OpenSSH: A tool for remote login and SSH tunneling. 6. Nessus: A vulnerability scanner with a daily updated database. 7. Zed Attack Proxy: A web application scanner with capabilities for fuzzing, WebSocket testing, and flexible scan policy management. 8. Wireshark: A packet analyzer that monitors and filters network traffic details. 9. Metasploit Packets Analyser is an exploitation tool that is frequently updated, free, and open-source. It supports fuzzing and multiple platforms. 10. John the Ripper: A password cracker that supports brute force and dictionary attacks. 11. NMAP: A security scanner that detects operating systems and open ports, capable of scanning entire networks. 12. Burp Suite: A web penetration testing suite with various useful modules for security testing. These tools are essential for cybersecurity professionals to identify vulnerabilities, secure networks, analyze traffic, and perform penetration testing. #CybersecurityTools #virtualan #cybersecurity

DEVOPS Engineer required Location : On-site (Chicago, IL) Job Type : W2/Fulltime Please share CV to [email protected] (or) DM #fulltimerole #w2roles #c2c #corp2corp #usaitjobs #devops #devopsjobs #machinelearning #RPA #machinelearningjobs #machinelearningengineer #dataarchitect #data #datasolutions #aws #redshift #lambda #mlengineer #mljobs #awslambda #architect #c2crequirements #c2c #c2cjobs #c2chotlist #c2cusajobs #benchsales #benchsalesrecruiters #ITrecruiters #ITrecruiter #networkengineer #rpadevelopers #scrummaster #sqlbi #sailpoint #mainframedeveloper #onsitejobs #remoteopportunties#c2c #azurecloudengineer #dotnetdeveloper #salesforcecertified #C2C #USAITJobs #JobsinUSA #itstaffing #corptocorp #hotlist #vendorlist #jobpostings #vendors #usitstaffing #contractjobs