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  • Proof Of Concept | DevOps Engineering

    Proof Of Concept Proof of concept, also known as proof of principle, is a realization of a certain idea, method or principle in order to demonstrate its feasibility, or viability, or a demonstration in principle with the aim of verifying that some concept or theory has practical potential. ​ The utilization of Release Train Engineering, powered by cutting-edge AI-based Logic Apps, aims to revolutionize and streamline the sales process. This automation focuses specifically on the crucial stage of lead generation for DevSecOps Contracts. By leveraging such advanced technologies, not only can we increase efficiency and reduce manual intervention, but we can also significantly enhance the accuracy of our lead-generation process. This ultimately leads to improved conversion rates and greater profitability, making it a powerful tool in the ever-competitive business landscape. Download Tech Guide Tech Stack GCP-OAUTH Sandbox triggers GCP OAuth to process the leads in the system for the manually passed leads. Using the Google toolkit and the Json to repopulate the leads. AZURE LOGIC APPS Serverless State Machine Run the state machine using the existing connectors in the UK South data region. SQL SERVER Lead Capture Database to storage the leads for the marketing not to spam the same recruiter. Tech Stack Google SAS Tools Gmail, Google Suite tools to be used to send emails to recruiters Infrastructure As Code Diagnostic implementation Iterate all the logic apps +50 logic apps to add the necessary configuration for the diagnostics. Automation Run powershell scripts Automated scripts to create the link for the diagnostics for the logic apps to connect them to storage and Event Hub Tech Stack Microsoft Teams Messaging Tools Instant messaging to do the continuous integration. Connectors Automation Templates Practical implementation of the API tools hosted in Azure marketplace for the state machine Log Analytics Multi functuion monitoring Logging into the same workspace to be able to monitor 100+ logic apps to coordinate the workflow Tech Stack Azure Functions Serverless Azure, Function s are used to do complex data manipulations and use the modern languages where we need to use the libraries that are not available for the state machine Text Analytics Create custom cover letter Text Analytics using the GPT function to be able to create a custom response. Storage Persistance Storage for the persistence of the system for the logic apps coordination for the log analytics debugging. Tech Stack Search Service Debug the text service Search Service used to debug the GPT output. Application Analytics Performance Stats Showing the performance metrics for the state machine Smart Detector Rule Flagging Practical flagging on the data that is being provided Tech Stack Sql Database Persistance for the leads SQL Database is used to store the lead information. Azure Data Explorer Debugging Azure Data Explorer to investigate the logs generated by the event hub. EventHub Realtime debugging EventHub is used to coordinate multiple logic apps at the same time. Be able to diagnose at realtime and have the logs for the services that is not running as expected.

  • Team | DevOps Engineering

    Meet The Team Designer Rifat Erdem Sahin Erdem is a global DevOps engineer who has delivered more than 50 contracts all over the globe. Leading on the dev ops and security aspect to found the CI/CD based on demand delivery framework. Delivery Eric Wroolie Eric has delivered hundreds of applications and he is a hands-on operator for the CI/CD systems. He has extensive cloud and on-premises gateway experience within the financial sector in London. Delivery Cenk Yenikoylu Develop software automation suitable for the CI/CD release trains. He has a lot of experience in functions and state machines which delivers continuous integration and delivery. Delivery Chidi Oparah Helping leadership navigate the lean Agile transformation of their organisation with simplicity | Enterprise and Executive coach & Training | Lean, SAFe SPC6, RTE6, TOGAF, LPM Designer Marianna Nechypor Marianna, our new DevOps dynamo! With her prowess in Operations, Program, and Product Management, she’s set to enhance our infrastructure, streamline projects, and spearhead development. Operator Ilhami T. Ilhami, our Architect dedicated to refining and implementing integration workflows. With a keen eye for structure and efficiency, Ilhami is instrumental in optimizing our processes, ensuring seamless collaboration across platforms. Planner Deji Ibukun Badmus We are thrilled to introduce Ibukun as the latest addition to our team, bringing her extensive expertise in Operations, Program, and Product Management to our ranks. Ibukun's role as a DevOps dynamo is pivotal as he takes the helm to enhance our infrastructure, streamline our projects, and lead the charge in product development. Operator Mohamad Farrag We are pleased to announce that Mohammed has joined our team, bringing with him a wealth of expertise in Operations, Program, and Product Management. In his capacity as a implementedr, Mohammed will be instrumental in enhancing our infrastructure, orchestrating our project workflows, and leading our product development efforts. His role is essential in ensuring the strategic alignment and execution of our operational objectives. Delivery Moiz C. We are excited to announce that Moiz has joined our team, bringing a rich background in Operations, Program, and Product Management. In his role, Moiz will play a key part in improving our infrastructure, managing our project workflows, and driving our product development initiatives. His contributions will be crucial for aligning and executing our strategic operational goals.

  • Release on Demand For Enterprises

    Evolve your enterprise and supercharge capabilities with DeliveryPilot ! Boost your enterprise with our advanced DevAIOps CI/CD workflows. Contact us to streamline and accelerate development! 🚀 Consulting - Application Assesment - Team Assesment - Organization Assesment Orchestration - Setup Workflows - Configuration of Systems - Automation for Processes Contribution - Implemention Workflows - Monitoring Workflows - Stakeholder Reporting We Provide DevAIOps Services We Provide Benefits For The Enterprise Complete Integration - Include all infra and software components - Communicate with all stakeholders - Based on Integration server Delivery on Demand - Frequent delivery - Daily delivery to Staging - Objective and key results controls Automated Deployment - Instant deployments - Rollback workflows DevAIOps Framework Implementation NEWSLETTER Enter your email here Sign Up Thanks for submitting!

  • Continuous Assessment | DevOps Engineering

    Continuous Assessment DevAIOps Maturity Matrix Tool ​ Welcome to the Future of Development and Operations Discover Our Revolutionary Tool Our innovative solution seamlessly integrates with your enterprise data sources to assess and enhance your DevAIops maturity. Leveraging cutting-edge AI technology, we deliver precise evaluations and actionable insights, empowering your team to thrive in the fast-evolving realm of development and operations. Core Features Continuous Assessment: Utilize our advanced AI algorithms to automate the assessment of your DevAIops practices. Our tool continuously analyzes your development and operations data, providing a real-time snapshot of your maturity level. Maturity Matrix Dashboard: Gain insights with our intuitive dashboard, designed to visualize your organization’s progress. Monitor enhancements across various DevAIops dimensions including Integration, Automation, Testing, Security, and beyond. Enterprise Data Integration: Connect seamlessly with diverse enterprise data sources for a holistic analysis that accurately reflects your specific environment and challenges. Actionable Insights for Management: Generate key signals and recommendations tailored for your management team. Our tool pinpoints strengths and areas for improvement, aiding in strategic decision-making and technological investments. Understanding DevAIops What is DevAIops? DevAIops melds development, AI, and operations by integrating AI tools and methodologies into the DevOps pipeline. This synergy boosts automation, enhances accuracy, and speeds up decision-making, fostering efficiency and innovation across operations. Hear from Our Clients Customer Testimonials Explore the experiences of leaders who have leveraged our DevAIops Maturity Matrix Tool to revolutionize their operations. Hear directly from various industry experts about the transformative impact of our tool. Get Started Today Try It Free for 30 Days Sign up now for a 30-day free trial and witness the transformative capabilities of our tool on your DevAIops strategy firsthand. Contact Us Easily For any inquiries or further information, please use our simple and quick contact form.

  • White Papers | DevOps Engineering

    White Paper: The Importance of DevAIOps in Enterprise Environments Executive Summary This white paper discusses the emerging field of DevAIops, which integrates artificial intelligence (AI) and machine learning (ML) capabilities into the DevOps methodology. DevAIOps aims to enhance the automation, efficiency, and innovative capabilities of software development and operational processes. This paper outlines the critical importance of DevAIops in modern enterprises, identifying the key pain points it addresses and the gains it offers. By leveraging AI-driven insights and automation, enterprises can significantly improve their development cycles, operational efficiency, and overall competitiveness. Introduction In today’s fast-paced and technology-driven business environment, enterprises are increasingly pressured to deliver innovative solutions rapidly and reliably. DevOps has been a transformative approach, combining software development (Dev) and IT operations (Ops) to shorten the development life cycle and provide continuous delivery. DevAIOps extends this paradigm by integrating AI to further enhance and optimize processes. The Importance of DevAIOps DevAIops is crucial for several reasons: Enhanced Decision Making: AI algorithms can analyze vast amounts of data to provide insights and foresight, enabling better decision-making throughout the software development lifecycle (SDLC). Increased Automation: By incorporating AI, routine and complex tasks within the DevAIOpspipeline can be automated, reducing human error and freeing up developer time for more strategic work. Improved Software Quality: AI can predict and detect anomalies in code, significantly improving software quality and reliability. Efficient Resource Management: AI-driven predictions help in optimizing resource allocation and utilization, ensuring that operations are both cost-effective and scalable. Pain Points Addressed by DevAIOps Implementing DevAIops in an enterprise environment addresses several key challenges: Complex System Management: As systems grow in complexity, traditional DevOps may struggle to manage and monitor these systems effectively. AI can provide more sophisticated tools to handle complexity. Speed and Accuracy of Operations: Manual processes are not only slower but also prone to errors. AI-enhanced automation speeds up these processes and increases accuracy. Scaling Challenges: Enterprises often face difficulties scaling their operations efficiently. DevAIops offers scalable solutions that adapt to increased loads without a corresponding increase in operational issues. Predictive Analytics: Conventional DevOps lacks advanced predictive capabilities, which are crucial for anticipating issues and optimizing performance. AI adds a layer of predictive analytics to preemptively address potential failures. Gains Introduced by DevAIOps Adopting DevAIops brings numerous benefits: Faster Time to Market: Enhanced automation and efficient workflows shorten the development cycle, enabling quicker releases and faster time to market. Cost Reduction: Automation of routine and complex tasks reduces the need for extensive manual intervention, lowering labor costs and operational expenses. Enhanced Innovation: With AI handling routine analyses and predictions, developers can focus more on innovation and creative problem solving. Improved Compliance and Security: AI algorithms can be trained to monitor and audit compliance automatically, enhancing security and adherence to regulatory standards. Better Productivity and Satisfaction: Automation and improved tools lead to higher productivity levels. Additionally, reducing mundane tasks increases job satisfaction among team members. Implementation Considerations To successfully implement DevAIops, enterprises should consider the following: Choosing the Right Tools: Select tools that integrate seamlessly into existing workflows and are scalable. Skills Development: Invest in training and development to equip teams with AI and machine learning skills. Data Management: Ensure robust data governance practices to train AI models effectively. Stakeholder Buy-in: Secure buy-in from all stakeholders by demonstrating the potential ROI of implementing DevAIops. Conclusion DevAIops represents a significant evolution in the way enterprises can approach software development and operations. By integrating AI into DevOps practices, organizations can achieve higher efficiency, better quality outputs, and faster innovation cycles. As enterprises look to stay competitive in a digital age, embracing DevAIops could be a key differentiator. For further inquiries or detailed implementation strategies, readers are encouraged to contact the authors or their associated organizations.

  • Maturity Checklist | DevOps Engineering

    Maturity Check List Novice 1 SCM

  • Case Studies | DevOps Engineering

    Case Studies UseCases with Telco Customers 01 Build Challenge: There is currently no correlation ID system in place to track the flow of requests and events across systems. Additionally, there is no state machine orchestration tool to manage the complex workflows. It has been observed that developers are not included in the automation process, leading to manual and on-demand builds. However, these builds often encounter unknown failures due to the presence of many dependent systems. Solution: Integrating ChatOps with automation systems can greatly enhance visibility for stakeholders. By leveraging ChatOps, stakeholders can have real-time access to information, updates, and insights, allowing them to make more informed decisions. With this integration, stakeholders can easily monitor and manage various processes, workflows, and tasks, ensuring smooth operations and efficient collaboration. Furthermore, ChatOps provides a centralized platform where stakeholders can communicate, share ideas, and address any concerns, fostering a collaborative and transparent work environment. Overall, integrating ChatOps with automation systems offers numerous benefits, empowering stakeholders with enhanced visibility and enabling them to contribute effectively to the organization's success. 02 Test Challenge : During the initial 2 weeks, there was a lack of communication and awareness among the stakeholders regarding the importance of security. The security team was not actively involved in collaborating with the development teams, which hindered the overall progress. It is crucial to note that the security stakeholders possess the authority to halt deployments in order to prioritize the secure and efficient management of the application life cycle. Solution: In order to ensure secure and reliable environments in the implementation of DevSecOps, it is crucial to have strong and efficient automation capabilities in place. These automation capabilities will not only streamline the deployment process, but also effectively address any potential security concerns that may arise during the implementation. Furthermore, it is of utmost importance to have clear visibility and transparency of the security teams for all stakeholders involved. By having this clear visibility, it ensures that all stakeholders can have complete confidence in the security measures being implemented and trust that their interests are being fully protected.

  • ROI Calculator | DevOps Engineering

    Unlock the full potential of your DevOps investments with our easy-to-use DevOps Savings Calculator. Designed for IT managers and development teams, this tool provides you with a quick and clear insight into the tangible benefits of enhancing your DevOps practices. Enter simple data about your team's size, operational frequency, and expected efficiency gains to see how much you can save in terms of both time and money. Whether you're planning to adopt new DevOps strategies or optimize existing workflows, our calculator helps justify your initiatives with solid financial projections. Start transforming your software development lifecycle today and witness significant savings that propel your projects forward!

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