AWS DEVOPS

https://www.youtube.com/watch?v=JHoy3lDZOfY  --devops

or

https://www.youtube.com/watch?v=YSkDtQ2RA_c

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https://www.youtube.com/watch?v=MmsoIcYrXJU ---AWS

https://www.youtube.com/watch?v=DT3aGtHybTs


https://www.youtube.com/watch?v=IT1X42D1KeA&list=PL9ooVrP1hQOFWxRJcGdCot7AgJu29SVV3 --edureka aws


https://www.youtube.com/watch?v=qaAllMDf_rs&list=PL9ooVrP1hQOFWxRJcGdCot7AgJu29SVV3&index=18   ---s3






https://www.youtube.com/watch?v=RVAlQaOx-uw ---linux for devops


https://www.youtube.com/watch?v=dCQpaTTTv98  -- ansible




Coined nearly 10 years ago by Patrick Debois, the term “DevOps” is now accepted to describe a methodology by which software development teams and IT operations teams work collaboratively for a continuous delivery approach.  Here, leading IT executives offer their DevOps predictions for 2019.

As AI use increases, data science teams will adopt DevOps best practices:Companies that have implemented DevOps have seen increased business efficiency and faster deployments. Consequently, we foresee that, in 2019, as the demand for AI-driven applications continues to rise, that data science teams will adopt DevOps best practices in their model management workflows. A DevOps approach helps data scientists build automated pipelines to re-train, re-select, and re-deploy production models in a more stable way, while providing the ability to test multiple models deployed into production. This trend will accelerate as data science and application development teams begin working closer together to improve the efficiency of developing, deploying, and maintaining AI & ML-driven applications to meet demand across the enterprise. — Justin Charness, principal product manager, machine learning, Oracle

DevOps will focus more on integration at the edge between services: The traditional, on-premises database infrastructure model is clearly changing. Over the last few years, we have seen accelerating migration toward infrastructure as a service (IaaS), which includes the database environment in database as a service (DBaaS). The increased dominance of cloud services from AWS, Microsoft Azure, and Google Cloud—along with developing technologies, such as Kubernetes and the serverless model—are evidence that the trend will continue. With this trend, DevOps will focus on the integration at the edge between services. Much of the typical infrastructure operations work will be handled in software, with systems such as Kubernetes operators. With the increased acceptance that public clouds can meet regulatory requirements, including HIPAA and HITRUST, even traditionally premise-bound large enterprises are going to start shifting to cloud-based operations and infrastructure in order to realize the flexibility, agility, and cost-savings that IaaS offers. Enterprises will continue to utilize a combination of configuration management and container technologies to fully automate infrastructure management—which means the role of DBA will change from infrastructure management to strategic application deployment. — Peter Zaitsev, co-founder and CEO, Percona

There will be a deepened focus on functions: In today’s DevOps environments, technology professionals who have mastered operating containerized workloads in complex ways are working to streamline and optimize delivering these capabilities by leveraging functions as a service. The breadth and depth of this focus on functions will likely deepen throughout the next year, as more technology professionals become comfortable leveraging containers in production, and recognize benefits achieved through serverless computing—such as faster start-up times, better resource utilization, and finer-grained management. However, even with these recognizable benefits, future DevOps pros will become adept at determining the use cases where functions as a service and serverless computing are appropriate for their environments and resources. Without this acquired skill, companies that dive right into functions-as-a-service without understanding the benefits and pitfalls of running numerous individual functions for different tasks may see bigger bills as the result, and the tech pro trying to explain these bills to management and business leaders may see bigger problems. — Keith Kuchler, VP of engineering for SolarWinds Cloud

Automation remains key: Automated provisioning and lifecycle operations for bare metal infrastructure can help enterprises deliver on-premise services faster and reduce operational costs than public cloud. This is especially true for managing hybrid cloud environments. The hybrid cloud vision is resonating, but many customers are still too early in their journey to have achieved the results they have planned for. That is why we created the composable infrastructure category with the launch of HPE Synergy 3 years ago. With a single line of code, the solution's composable API can fully describe and provision the infrastructure that is required for applications, transforming IT operations while simplifying the entire DevOps process. Lastly, Kubernetes won the container orchestration war. In 2019, watch how everyone will be fleshing out their offerings. It will be interesting to see what the mix is for vendor supported versus 'roll your own open source,' and who grabs market share among the vendor offerings.  — Said Syed, director of HPE UX Design and Developer Productivity, HPE Chief Design Office

Experimentation with continuous delivery approaches will expand: Adoption of the continuous delivery engineering approach and use of container related-technologies (such as Docker and Kubernetes) in large organizations will dramatically increase with the adoption of microservices and multi-cloud architectures. In addition, fully automated continuous deployment (leaving the entire chain of continuous integration (CI), continuous delivery (CD), and continuous deployment on autopilot) will get traction by companies embracing immutable infrastructure approaches and technologies (such as Spinnaker) to manage services and software deployments. With the increased adoption of process mining techniques and technologies, in 2019 we will also see more teams experimenting with how process mining discovery, compliance, and performance enhancement can help DevOps teams to learn and improve their CI/CD workflows. — Miguel Valdes Faura, CEO and co-founder, and Charles Souillard, CTO, COO, and co-founder, Bonitasoft

DevOps will play a pivotal role as the enabler of seamless security integration:With approximately 30% of all breaches resulting from a vulnerability at the application layer, organizations will need to adopt a mature, secure software development process that goes beyond just scanning and fixing security flaws. The best way to truly secure applications is to take a programmatic approach to application security that starts with integrating security as early as possible into the software development lifecycle, and to ensure that security and development teams are working hand in hand to make this possible. DevOps will play a pivotal role as the enabler of seamless security integration, and will empower development teams to deliver secure code faster than ever before. Security integration at the beginning of the software development lifecycle will support the overall testing phase and developer workflow. This will ultimately save time and increase velocity in comparison to security testing done at the end of a development lifecycle. As a result, developers will be able to find vulnerabilities during the coding phase instead of during a separate security-hardening sprint, while at the same time ensuring the security of the software being developed, tested and shipped. — Mark Curphey, vice president of strategy, CA Veracode