A continuación, le indicamos cómo puede optimizar su flujo de trabajo para obtener la máxima productividad y eficiencia.

Automation significantly enhances productivity by freeing up time that would otherwise be spent on repetitive tasks. CI/CD pipelines are a prime example of this. Tools like Jenkins, GitLab CI/CD to automate the process of building, testing, and deploying code. This automation not only speeds up the release cycle but also ensures that every change is thoroughly tested before it reaches production. Automated pipelines allow us to quickly identify and fix issues, resulting in higher quality software. You can schedule crons for the automation of repetitive task.

For me, it is crucial to automate tasks with high repetition frequency. It is not worth it if you need to invest much time to automate tasks rarely repeated. If there are no tools which can automate certain tasks, be innovative and create your tool. People often think that DevOps engineers don't need to know how to design and create applications, but from my perspective, it is not true. Quite the opposite, I think that every DevOps engineer should know at least one programming language, inside and out...

As a Senior DevOps Engineer with lots of knowledge in cloud computing, I know that automation is crucial for making our work more efficient. Tools like Terraform or CloudFormation can help us quickly set up cloud infrastructure, ensuring everything is consistent and easy to Definitely automation saves time.

Automating can save time, reduce human error, increase efficiency, and ensure a more reliable and consistent software delivery process.

Automate repetitive tasks with scripts and CI/CD pipelines to boost efficiency, reduce errors, and streamline processes like code compilation, testing, and deployment. This allows you to focus more on coding and less on managing workflows, enhancing overall productivity.

Maintaining high code quality is essential for long-term productivity and efficient collaboration. Adhere to coding standards and best practices, and use tools like linters and formatters to ensure consistency. Regular code reviews help identify potential issues early, enhancing the overall quality. Utilizing version control systems like Git allows for effective change tracking and collaboration. Keeping your code clean and organized reduces technical debt, facilitating easier future modifications and smoother teamwork. High code quality leads to more reliable, maintainable, and scalable software.

Adding SAST scans will also ensure there are no vulnerabilities to our project dependencies. Having good coding practice like modular code, code comment, separation of concern, version control will improve maintainability of project.

I'm passionate about writing clean, maintainable code. I use linters and follow style guides religiously. It might take a bit more time upfront, but it saves hours of headaches later. I've also started doing more unit testing. Catching bugs early has become my superpower. It's like giving my future self a high-five every time I open an old project and it just works. ✨

Code quality of any project is reflection of it's core maintainers, abstract quality for the purpose of best standards or any other ephemeral cause brings little value beyond aesthetical satisfaction. This doesn't mean that adoption of widely used instrumentation like linters, code scanners and simple or staged code review should be ignored. Realistically more or less objective way to bring analisys to the table is tracking of some relevant kpi's eg: ease of adoption/speed of feature delivery/maintainability/abstraction factor (ease of upstream dependency migrations)/ etc.

When you are coding, you MUST check quality. For this you've got some tools for the first check : linter, unitary test, security scan, ... When everything is good then you must show your code with a code review. Then you need to push your code on a version control (git) with a great commit message (git karma). At this point you will have some error, but at least not some typo !

I'm always on the lookout for tools that boost my productivity. I've customized my IDE with powerful extensions and shortcuts. Version control with Git is my lifeline. I've also fallen in love with Docker for consistent development environments. Finding the right tools feels like unlocking new levels in a game - suddenly, everything becomes easier and more fun. 🛠️

Efficiency comes from the proper milestone planning, small trivial tasks that can be executed and tested in isolation by a single individual rarely cause trouble. In the world of hybrid clouds, big data, kubernetes and microservices coupling introduces some complications though, understanding critical path, alongside every single component and it's composition environment, cutting deliverables down based on those limitations rather than external timeline based factors with weak motivation saves engineering resources, speeds up delivery and allows to overcome competition mid-term.

Of course you need some great IDE like VSC with the good extension. But it's more important to be able to test your code directly on a consistent environments. which need to be a copy of your production ! This can be done with a kube or a docker and changing only the configuration for using your non production id/pwd

I've embraced the Pomodoro Technique, working in focused 25-minute bursts. It's helped me conquer procrastination and maintain high energy levels throughout the day. I also block out my calendar for deep work sessions, treating them as important as any meeting. Managing my time well feels like being the conductor of my own orchestra, keeping everything in perfect harmony. ⏰

En mi trabajo, me gusta utilizar la gestión del tiempo para priorizar las tareas pequeñas, dejando así más espacio para las más complejas. Además, utilizo el método Kanban con frecuencia, ya que me ayuda a visualizar y controlar mejor mi flujo de actividades.

I was a scrum master, you MUST decompoze your task. The better is to make 2-4h task. You will close a lot of ticket during your day. So you will be happy to have well worked and you will better understand how you work and how you can improve your productivity. Always cut what can be delayed. You don't have to answer to this mail in the 5 next minute. If this is so urgent, then they will call you instead of a mail !

I work on computer field since 25 years. I've learn a lot of way to do my task. When I'm looking for improving my methodology I found some new concepte, or I develop some new one. Each time I gain a lot of time or at least I get some more robust application. Normally you can take some time on your work for following the technology.

Diagram the entire workflow end-to-end and leave out all error checking... i.e diagram a straight thru process as though everything completes successfully. That is your optimum MVP (minimal viable process). Now pick any process in the MVP, and improve it by 10x without using any technology... This will help break through the dogma of automating bad process. You will have to think about process differently to achieve this, i.e look where others are not looking :)