Our Services-Atlassian Support and Application Operation Support

 

Application Operation Service Portfolio

Welcome to our Application Operation Service Portfolio! We offer a comprehensive suite of services designed to optimize your application performance, ensure uptime, and enhance user experience. From infrastructure management and monitoring to security and compliance, we provide tailored solutions that meet your specific needs and objectives. Our team of experienced professionals understands the intricacies of modern application ecosystems and leverages best-in-class technologies to deliver reliable and scalable solutions.

Service Offerings

Infrastructure Management

We handle your entire application infrastructure, from servers and databases to networking and storage. Our expertise ensures optimal resource utilization, high availability, and seamless scalability.

Security & Compliance

We safeguard your applications and data with robust security measures, including intrusion detection, firewalls, and access control. We also ensure compliance with industry standards and regulations.

Performance Monitoring & Optimization

We continuously monitor your applications for performance bottlenecks and proactively optimize them for optimal speed and efficiency. We provide detailed reports and insights to keep you informed.

DevOps & Automation

We leverage DevOps best practices and automation tools to streamline your development and deployment processes, enabling faster delivery and improved application quality.

Our Expertise

Deep Technical Knowledge

Our team possesses deep technical expertise in a wide range of technologies, including cloud platforms, databases, operating systems, and programming languages.

Industry Best Practices

We adhere to industry best practices and standards to ensure the quality, security, and reliability of our services. We continuously update our knowledge and skills to stay ahead of the curve.

Customer-Centric Approach

We prioritize customer satisfaction and strive to build long-term partnerships. We are committed to understanding your unique needs and providing tailored solutions that exceed expectations.

How you would automate security compliance checks for your AWS infrastructure.

 To automate security compliance checks for AWS infrastructure, I would use AWS Config, AWS CloudTrail, AWS Security Hub, and AWS IAM Access Analyzer.

1. Configuration Management: Use AWS Config to track configuration changes and evaluate resource configurations against compliance rules. Implement custom Config Rules or use managed rules to ensure resources comply with security policies.
2. Audit Trails: Enable AWS CloudTrail to capture all API activity and changes within the AWS account. Use CloudTrail logs to audit and review actions taken by users and services.
3. Security Hub: Enable AWS Security Hub to provide a comprehensive view of security alerts and compliance status. Integrate with other AWS security services like GuardDuty, Inspector, and Macie for continuous threat detection and vulnerability assessments.
4. Access Control: Use IAM Access Analyzer to identify and analyze the access provided by policies to ensure that resources are not overly permissive. Regularly review and refine IAM policies.
5. Automation: Use AWS Lambda functions triggered by Config or CloudTrail events to automatically remediate non-compliant resources. For example, automatically revoke public access to S3 buckets or enforce encryption on new resources.
6. Compliance Frameworks: Use AWS Artifact to access AWS compliance reports and align your infrastructure with industry standards like GDPR, HIPAA, and PCI DSS.

By automating these security and compliance checks, the infrastructure remains secure and compliant with industry standards and organizational policies.

process and AWS services used to perform a blue/green deployment for a web application hosted on AWS

 To perform a blue/green deployment for a web application on AWS, I would use the following process and services:

1. Setup Environment:
   • Blue Environment: This is the current production environment. It includes EC2 instances, load balancers, databases, and other necessary resources.
   • Green Environment: Create an identical environment (green) to the blue environment. This will be used for the new version of the application.
2. DNS Management:
   • Amazon Route 53: Use Route 53 for DNS management and traffic routing. Configure DNS records to point to the blue environment initially.
3. Deployment:
   • AWS CodeDeploy: Use CodeDeploy to automate the deployment process. Set up a blue/green deployment group. This allows CodeDeploy to deploy the new version of the application to the green environment.
4. Testing:
   • Smoke Tests: Perform smoke tests on the green environment to ensure the new version is working as expected.
   • Load Testing: Conduct load testing to ensure the green environment can handle production traffic.
5. Switch Traffic:
   • Route 53 Traffic Shift: Update Route 53 to shift traffic from the blue environment to the green environment. This can be done gradually to monitor the new environment's performance and detect any issues early.
   • Health Checks: Configure Route 53 health checks to automatically switch back to the blue environment if the green environment fails.
6. Monitoring:
   • AWS CloudWatch: Use CloudWatch to monitor metrics, logs, and alarms for both environments during the transition.
   • AWS X-Ray: Use X-Ray for tracing and debugging the application in the green environment.
7. Rollback:
   • Instant Rollback: If any issues are detected with the green environment, use Route 53 to instantly switch back to the blue environment.
   • CodeDeploy Rollback: Use CodeDeploy’s automatic rollback feature to revert to the previous version if deployment issues are detected.
8. Cleanup:
   • Terminate Blue Environment: Once the green environment is stable and confirmed to be working correctly, decommission the blue environment or repurpose it for future deployments.

This process ensures minimal downtime and reduces the risk associated with application updates by allowing a smooth transition between environments.

Platform Engineering Team -DevOps

 

Platform Engineering team involves integrating various practices, tools, and cultural shifts to foster collaboration and efficiency between development and operations.

Some key steps and considerations typically involved:

Cultural Alignment, Automation, IaC, CI/CD, Monitoring and Logging, Containerization and Orchestration, Security, Collaborative Tools, Feedback Loops, Education and Training, Scalability and Resilience, Compliance and Governance.

By integrating these practices and cultural shifts, a Platform Engineering team can effectively implement DevOps principles to deliver value to customers faster and more reliably while improving overall operational efficiency and collaboration.

Devops interview

 Q. How you automate the whole build and release process?

Q. I have 50 jobs in the Jenkins dash board , I want to build at a time all the jobs
Q. DO you know how to install Jenkins via Docker ?
Q. My application is not coming up for some reason? How can you bring it up?
Q. How can you avoid the waiting time for the triggered jobs in Jenkins.
Q. How you handle the merge conflicts in git?
Q. I want to delete 10 days older log files. How can I?
Q. What is the job Of HTTP REST API in DevOps?
Q. Can we copy Jenkins job from one server to other server?
Q. syntax for building docker image
Q. What Are the Benefits Of Nosql?
Q. Provide few differences between DevOps and Agile

Basic Questions

1. What is AWS Lambda?

   • AWS Lambda is a serverless compute service that lets you run code in response to events without needing to provision or manage servers. You only pay for the compute time you consume.

2. What are the key features of AWS Lambda?

   • Features include automatic scaling, event-driven execution, support for multiple programming languages, integrated security, and built-in monitoring with AWS CloudWatch.

3. Can you explain the AWS Lambda execution model?

   • Lambda functions are triggered by various AWS services or HTTP requests via API Gateway. The service automatically scales to manage event loads.

Intermediate Questions

4. How does AWS Lambda handle scaling?

   • AWS Lambda automatically scales the number of executions of your functions by running multiple copies of your function concurrently in response to incoming requests.

5. What is a Lambda function's timeout limit?

   • A Lambda function can run for a maximum of 15 minutes (900 seconds) per invocation.

6. What are the benefits of using Lambda layers?

   • Layers allow you to share common libraries across multiple functions, thereby reducing the size of your deployment package and promoting code reuse.

7. What is the difference between synchronous and asynchronous invocations in Lambda?

   • Synchronous: The caller waits for the function to complete and receives the result. (e.g., API Gateway)
   • Asynchronous: The caller does not wait for the function execution to complete and may not receive a response immediately. (e.g., SQS, SNS)

Advanced Questions

8. How do you handle errors in AWS Lambda?

   • You can handle errors using try-catch blocks within the function, configuring Dead Letter Queues (DLQ) for asynchronous invocations, or using AWS Step Functions for complex error handling.

9. What is the purpose of the AWS SAM (Serverless Application Model)?

   • AWS SAM is a framework for building serverless applications. It simplifies deployment and management of Lambda functions, API Gateway endpoints, and other AWS resources.

10. How can you improve the cold start latency of a Lambda function?

    • Reduce package size, use lighter runtimes, keep functions warm by invoking them at intervals, or utilize provisioned concurrency to pre-warm instances.

Scenario-Based Questions

11. How would you design a serverless application using AWS Lambda and other AWS services?

    • Discuss the architecture, such as using API Gateway for HTTP requests, DynamoDB for storage, and Lambda for handling business logic.

12. What are common use cases for AWS Lambda?

• Use cases include data processing (e.g., ETL jobs), real-time file processing, backend processing for mobile applications, and responding to events from other AWS services.

1. Explain what SonarQube is. (Question 1)
2. Why do you think that we should use SonarQube? (Question 2)
3. Explain why does SonarQube need a database (Question 3)
4. Explain the advantages of using SonarQube. (Question 4)
5. How can you create reports in SonarQube? (Question 5)
6. Why do you think that we should use SonarQube over other Code Quality Tools? (Question 6)
7. Explain the difference between SonarLint and SonarQube? (Question 7)
8. Is SonarQube Replacement for Checkstyle, PMD, FindBugs? (Question 8)
9. What is the difference between Sonar Runner and Sonar Scanner (Question 9)
10. Explain SonarQube quality profile (Question 10)
11. Explain, what are the prerequisite for SonarQube Installation (Question 11)
12. Which of the following statements is correct regarding Sonar execution for Java projects? (Question 12)
13. Explain the term RULES with respect to SonarQube? (Question 13)
14. How do I get started with SonarQube? (Question 14)
15. Can you execute SonarQube on your own server? (Question 15)
16. How would you know if the SonarQube instance is running correctly? (Question 16)
17. List the components in SonarQube architecture (Question 17)
18. What are SonarQube quality gates? (Question 18)
19. Explain the use of the SonarQube database. (Question 19)
20. How is the architecture of the SonarQube? (Question 20)
21. Explain how I can delete a project from SonarQube? (Question 21)
22. What languages does SonarQube support? (Question 22)
23. Explain if SonarQube is a replacement for Checkstyle, PMD, and FindBugs ? (Question 23)
24. Explain the steps to trigger a full ElasticSearch reindex in SonarQube? (Question 24)
25. When a resolved issue does not get corrected, what is the status it gets into automatically? (Question 25)
26. Explain what security covers for SonarQube (Question 26)
27. Explain what does the header section comprise in SonarQube: (Question 27)
28. Which property should be declared for SonarQube Project base dir? (Question 28)
29. Which property should be declared to tell SonarQube which SCM plugin should be used to grab SCM data on the project. (Question 29)
30. Explain the term code smell with respect to SonarQube (Question 30)

codeql-vulnerabilities across a codebase with CodeQL

Refer -CodeQL (github.com)

CodeQL Action

This action runs GitHub's industry-leading semantic code analysis engine, CodeQL, against a repository's source code to find security vulnerabilities. It then automatically uploads the results to GitHub so they can be displayed on pull requests and in the repository's security tab. CodeQL runs an extensible set of queries, which have been developed by the community and the GitHub Security Lab to find common vulnerabilities in your code.

For a list of recent changes, see the CodeQL Action's changelog.

RFP vs. RFQ vs. RFI

 https://www.procore.com/library/rfp-construction#construction-rfps-the-basics

Steps in the RFP Process

1. The owner defines the project details.

2. The owner writes and issues the RFP.

3. The owner publishes and distributes the RFP.

4. Contractors prepare their bids.

5. Contractors submit proposals.

6. The owner evaluates proposals and selects a contractor.

7. The owner and contractor negotiate the contract.

RFPs afford contractors the chance to demonstrate their qualifications and capabilities and articulate how they would deliver the highest and best value for the project.

An RFP typically consists of a project overview encompassing the scope, technical specifications, timeline and budget. It also includes submission guidelines, evaluation criteria and contractual terms. Together, these components offer vital information and guidelines that enable potential bidders to understand the project requirements, craft their proposals and effectively participate in the procurement process.