TGU DevOps Highway TTI GmbH

At DevOps Highway, cybersecurity is at the forefront of everything we do. Our journey has been enriched by our incredible community and the invaluable lessons we've learned from industry leaders like Secure Code Warrior and Apiiro. To share this knowledge and inspire others, we are thrilled to announce that we will be hosting and sponsoring a workshop on June 13th at our premises and also ONLINE (event is hybrid). This event is a fantastic opportunity to learn from the best in the field. We hope to see you there! We are also excited to announce Dr. Jordi Mauri as the moderator for this event: Yes, we are beyond fortunate to introduce Dr. Jordi Mauri as the moderator for this event. Meet Dr. Jordi Mauri: Jordi is an experienced executive coach and industrial engineer with deep expertise in creativity and innovation. With a PhD focused on enhancing creativity among engineers and technological professionals, Jordi has a proven track record in helping teams define roles more effectively and achieve greater clarity on their goals. He combines his technical background with his passion for personal and professional development to offer valuable insights and coaching. 🔹 Position: Engineer Trainer - Executive Coach. 🔹 Expertise: Creativity, Innovation, Team Roles, Personal and Professional Development. 🔹 Background: Industrial Engineering, PhD in Creativity Enhancement for Technological Profiles. To meet Jordi and our other esteemed speakers — Amanda Alvarez, Gabor Faludi, Matias Madou, Idan Elor and last but not least, our CEO Nakul Vyas — please register for the event here: https://lnkd.in/g5B4RJbP Stay tuned and join us on this exciting journey! 🌟 #DevOpsHighway #Cybersecurity #Innovation #Creativity #ExecutiveCoaching #Networking #Workshops

Congratulations to Boeing on the successful launch of the Starliner mission! 🚀 The third attempt was indeed the charm as Boeing’s Starliner completed its first crewed flight test, marking a significant milestone a decade in the making. The new spacecraft, carrying veteran NASA astronauts Butch Wilmore and Suni Williams, lifted off from Cape Canaveral atop an Atlas V rocket at 10:52 a.m. ET. This historic mission, streaming live on NASA’s website, is a testament to Boeing’s dedication and innovation in expanding the United States' options for ferrying astronauts to the International Space Station under NASA’s Commercial Crew Program. Notably, this marks the sixth inaugural journey of a crewed spacecraft in US history, joining the ranks of Mercury, Gemini, Apollo, the space shuttle, and SpaceX’s Dragon. A special congratulations to Suni Williams, who makes history as the first woman to fly aboard such a mission. 🌟 Kudos to the entire Boeing team and their partners for this monumental achievement. We look forward to the continued advancements and successes in human space exploration! TGU DevOps Highway TTI GmbH is excited to assist aerospace innovators like Boeing with their operational toolchain needs. Together, let's continue to reach for the stars! #Boeing #Starliner #NASA #SpaceExploration #Milestone #Innovation #TGUDevOpsHighway https://lnkd.in/eAXtyQnw

#DevOpsforAI Why is DevOps crucial for your AI applications? Or what has DevOps to do with AI? DevOps, which stands for Development and Operations, is crucial for AI applications for several reasons: Rapid Deployment: AI applications often undergo continuous updates and improvements. DevOps practices enable frequent deployments, allowing teams to push updates to production quickly and efficiently. Scalability: AI applications often need to handle varying workloads and data volumes. DevOps helps in designing scalable architectures and automating infrastructure provisioning to handle fluctuations in demand effectively. Continuous Integration/Continuous Deployment (CI/CD): CI/CD pipelines automate the process of building, testing, and deploying AI models and applications. This ensures that changes are thoroughly tested and deployed without manual intervention, reducing the risk of errors and speeding up the delivery process. Collaboration: DevOps promotes collaboration between development, operations, and data science teams. This interdisciplinary collaboration ensures that AI models are deployed in a way that aligns with business objectives and operational requirements. Monitoring and Feedback: DevOps practices emphasize continuous monitoring of applications in production. For AI applications, this means monitoring model performance, data quality, and system health. Feedback from monitoring helps in identifying issues early and iterating on AI models for continuous improvement. Security: Security is paramount for AI applications, especially when dealing with sensitive data. DevOps practices include security measures such as automated vulnerability scanning, access control, and encryption to ensure that AI applications remain secure throughout their lifecycle. In summary, DevOps is essential for AI applications because it enables rapid deployment, scalability, collaboration, continuous integration and deployment, monitoring, and security, ultimately ensuring the reliability and efficiency of AI-driven solutions. #devops #AI #AIOps #CoreTech

The evolution from DevOps to DevSecOps marks a fundamental transformation in the methodologies organizations employ for software development and security within the realm of embedded systems. This transition emphasizes the integration of security practices at each phase of the development lifecycle, crucial for embedded systems where security is paramount due to their often critical and sensitive applications. By incorporating the appropriate toolchains tailored for embedded environments, such as static code analyzers, automated testing tools, and real-time monitoring solutions, organizations can substantially bolster their security defenses. Adopting DevSecOps in embedded systems necessitates a cultural metamorphosis, underscoring the importance of security from the inception of project planning to deployment and maintenance phases. This approach requires an organizational commitment to nurturing a security-centric mindset among developers, engineers, and stakeholders. Investment in specialized training and education is vital to equip teams with the necessary skills to effectively implement security measures within the unique constraints of embedded systems, such as limited computing resources, real-time operating requirements, and the need for long-term support and maintenance. #cybersecurity #devsecops #devops #changemanagement #newcareers #techstartups #softwareengineering #Softwareenginer #Java #python #embeddedsystems #Automotive #medicaldevices #aerospaceengineering