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  • 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.

  • Workshops | DevOps Engineering

    Workshops Build your DevOps skills with our ever-expanding, constantly-updated library of DevOps training and courses. Whether you’re just finding your footing and figuring out the ins and outs of CI/CD, looking for platform-specific AWS DevOps, Azure DevOps, or Google Cloud DevOps, or looking to go deep into advanced DevOps topics, we’ve got you covered. STAY IN THE KNOW Enter your email here Sign Up Thanks for submitting!

  • Release Trains | DevOps Engineering

    Release Trains This comprehensive training program is designed to help enterprises master the highly sought-after skill of managing DevOps release trains. By participating in this program, organisations will gain the knowledge and expertise required to achieve delivery on demand, leveraging industry-leading best practices in continuous integration and continuous delivery. With a focus on practical implementations and real-world scenarios, participants will learn how to streamline their software development processes, enhance collaboration between development and operations teams, and ensure the smooth and efficient delivery of high-quality software products. By the end of the program, participants will be equipped with the skills and strategies necessary to drive continuous improvement and deliver value to their customers promptly. Training Material for the Designers ( RTE ) Curriculum Training For Executives > Top Management Application Team Infrastructure Team Security Team Management > Team Managers Program Managers Product Owners Developers Operations Infrastructure Applications Security Topic Assessment - Top-Down Design Duration 2 days Roles Management / Executives Application Team Infrastructure Team Security Team Program Managers Product Owners Content Setting up objectives and key results 3 Stages of the Implementation/Scope for release trains Document current requirements management for ALM Document the Current implementation of ALM Assessment Sheet Start Manual Capture Bottom-up Documentation and Collaboration Tools DevSecOps Maturity Model DevSecOps Maturity Model Continous Assessment DSL Release Trains ( Roles / Stakeholders ) Devops And Culture Shift First Principles Documentation C.o.d.e / Video Automation frameworks and roles Risks Identification Topic Assessment - Design Summary Duration 2 days Roles Management Program Managers Product Owners Content Data Collection Process Meeting Coordination for Safe(scaled agile frameworks) DevOps DSL for Workflows and Use Cases Skills and Tools gaps and how to identify them Project Management from manual to continuous process Shift Left Solutions to Identify Problems One DevOps team implementation Topic Assessment - Executive Roadmap Duration 2 days Roles Management Program Managers Product Owners Content Main Goal for the enterprise and obstacles Continuous Integration Continuous Delivery Continuous Deployment Unified Repo and Infrastructure Maturity Framework and Use Cases Challenges ahead Topic Future State - Security Roadmap Duration 1 day Roles Security Content Approval of the design from the security team Before and after the state of the security environment Security System Core Demo for security Topic Future State - Development Roadmap Duration 1 days Roles Development Content Approval From Development Teams Visual State machine-based workflows Define the target operating model to increase maturity Automated distilled SDLC distilled reporting Demos for the development of CI/CD Key Processes and Principles Key results 1 integrate > 2 deliver > 3 automate Topic Future State - Operations Roadmap Duration 1 days Roles Operations Infrastructure Applications Content Design Approval From Operations Demo for Operations Workflows Define the target operating model ( Datasources /Networks) Topic Future State - Plan Sign-off Duration 1 day Roles Executives Application Team Infrastructure Team Security Team Content Outputs of the Framework Workflow task guidelines and questions Additional Use Cases Approvals from Stakeholders Calendar and Deliverables Process Flows for Strategy Future State Delivery Methods AI-based workflows Continuous deployment Framework components Topic Future State - Plan for CI/CD Duration 5 days Roles Management Program Managers Product Owners Content Create a system to fix regularly C.O.D.E and Document framework for ALM End-to-End Design Plan Approvals from Stakeholders Calendar and Delivarables Primary roles and responsibilities Plan and Strategy Templates Sow Templates for Workflows Tools Transition Plan Team capacity planning Communicate with Chatops for SDLC Skills Gaps Planning Checklists for all process types Process Tailoring Guidelines Templates for all required E2E project Artifacts Execution Report Templates Status Reports Templates E2E IT Delivery Execution Plan Future team visualization Agile release train > scaled agile framework ( safe ) Load all components old/current/upcoming Teams/calendar coordination Publish requirements system turns on Documentation Before and after release train Support plans from the vendors Alm ci cd redesign continuous assessment task management Topic Implementation - Building CI/CD Frameworks Duration 5 days Roles Operations Infrastructure Applications Content Problem definition and shift left Framework aware terms The core team and expanding safe Pair programming Workshops collaborate Int server for ci Service principal user types and access All eyes on-premises gateway Infrastructure support Data sources/connectors Skills gaps > workshop outputs Operators to be ready to build Topic Implementation - Building CI/CD Frameworks Duration 5 days Roles Developers Content Release on demand Framework > to load all components Pull-based design source Workflows > req gathering E2e design plan for release train Framework terms ci/cd Framework components Framework base Documentation Use case delivery stages Hand over (communicate) Workflow output ( build example ) Future state visualise ci > cd Framework input and outputs Connected sources to AI Workflow distil section Hands-on implement dsl Workflows ci/cd key results Access Check out our courses Course Catalog

  • DevOps Migrations | DevOps Engineering

    Devops Migrations "Migrating to the new world is a pivotal step in any DevOps workflow, particularly when it involves transitioning from SVN/VSS to Git. This migration is not just about moving code; it's about transforming how Enterprises manage and interact with their repositories. By loading the contents of your existing repository into a new Git environment, DevOps engineering teams not only preserve the integrity and history of your code but also embrace a more flexible and efficient version control system. To streamline this transition, DevOps engineers meticulously estimate the complexities of example migrations, ensuring a smooth and predictable process. Automation plays a key role here, facilitating ongoing migrations with minimal manual intervention. Moreover, stakeholders are kept in the loop with concise, distilled notifications about the migration process, ensuring transparency and building confidence every step of the way."

  • Release on Demand For Enterprises

    Evolve your enterprise and supercharge capabilities with AI ! 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!

  • Business Plan | DevOps Engineering

    Business Plan The Business Model Canvas (BMC) is a strategic management template for developing new or documenting existing business models. It's a visual chart with elements describing a firm's or product's value proposition, infrastructure, customers, and finances. Reference https://www.canva.com/design/DAF6_YNeh4Q/Eqrjy6nK_gkn-1UBxmoarg/edit

  • Consulting | DevOps Engineering

    Consulting Framework To achieve on-demand delivery for devsecops maturity, organizations can implement a robust CI/CD framework that incorporates AI-based workflows. This framework not only streamlines the development and deployment processes but also enhances the overall efficiency and effectiveness of the software delivery pipeline. By leveraging AI technologies, organizations can automate various tasks and optimize the workflow, thereby reducing manual effort and accelerating the delivery cycle. This integration of AI into the CI/CD framework enables organizations to achieve faster and more reliable software releases, helping them stay competitive in today's fast-paced digital landscape. Documentation For All Stakeholders

  • Join Our Team | DevOps Engineering

    Join Our Team Ultimate IT Contractor Begin your journey by becoming an ultimate IT Contractor Created a course structure for our team of contractors who helped us deliver. We recognize the fact of the vast experience needed. Here is the course that is created for them My Story Erdem is a highly skilled Devops Contractor who has extensive experience working on projects around the world. He excels at creating comprehensive and engaging devops courses that are based on his real-life experiences in the field. Erdem is not only passionate about his work, but also about fostering a sense of community among fellow devops enthusiasts. He welcomes you to join the community and embark on your own devops journey, where he will be there to provide guidance and support every step of the way. Course Access Either become a member in our community or take the course in Udemy. Udemy>

  • 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.

  • Plans & Pricing | DevOps Engineering

    Choose your pricing plan DevOps Coaching £ 50 50£ Every month DevOps Coaching Monthly Valid for 12 months Select

  • Orchestrate | DevOps Engineering

    Coaching for our training To achieve on-demand delivery for devsecops maturity, organizations can implement a robust CI/CD framework that incorporates AI-based workflows. This framework not only streamlines the development and deployment processes but also enhances the overall efficiency and effectiveness of the software delivery pipeline. By leveraging AI technologies, organizations can automate various tasks and optimize the workflow, thereby reducing manual effort and accelerating the delivery cycle. This integration of AI into the CI/CD framework enables organizations to achieve faster and more reliable software releases, helping them stay competitive in today's fast-paced digital landscape. All Courses

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