Este post, decidi hacerlo en castellano. Xq se preguntaran? Xq seguramente pierda mucho del vocabulario y la escencia que quiero impactar en el mismo, con la visita que he tenido la oportunidad de realizar.
Me ha gustado mucho pasear por la fabica y conversar con las personas que son parte de Toyota y que hacen que mi auto particular sea parte de ellos también en este momento ;)
Simplemente, pienso y creo, que mucho de lo que van a leer, es el ideal que muchas empresas buscan.
Gracias por haberme invitado a aprender y verlos en accion :D
ᗧ•••ᗣᗣᗣᗣ•• #Python #SRE #DevOps #DevSecOps #ETH #CHFI #CEH #CISSP #RedTeam #BlueTeam
DevOps Metrics and Key Performance Indicators
When tracking key DevOps metrics, focus less on the perceived success or failure according to any one indicator, but rather, on the story these metrics tell when examined together. A result that seems problematic on its own could look completely different when analyzed alongside additional data.
Careful tracking of the KPIs highlighted bellow can ensure not only greater efficiency in development and production, but more importantly, the best possible end-user experience. Embrace DevOps metrics, and you could see vast improvements in application deployment and feedback.
Careful tracking of the KPIs highlighted bellow can ensure not only greater efficiency in development and production, but more importantly, the best possible end-user experience. Embrace DevOps metrics, and you could see vast improvements in application deployment and feedback.
Using DevOps Metrics Effectively
If you’re a DevOps leader, you have a very tough job. You have to radically transform processes and behaviors that have been ingrained in IT for decades. You have to adopt new technologies quickly while still delivering code quickly and cost-efficiently. And you have to do all this better than your peers at other companies. Otherwise, you’ll simply slow your company’s progress in the new digital marketplace while your better-performing competitors gain advantage.
DevOps & KPIs is making an impact?
DevOps encourages incremental changes and faster releases while also improving quality and satisfaction. But how do we know if DevOps is making an impact? How do we decide what needs to change? We need to measure and this is where DevOps metrics come in.
DevOps Metrics and KPIs
DevOps may seem like the new kid on the block with all the buzz surrounding it, but it’s actually been around for a while and has proven itself a valuable method for improving software enterprises’ ability to deliver better products in less time. It achieves this lofty goal by leveraging the power of cross-discipline teams and empowering transparent communication throughout the organizations. A culture of communication goes a long way in improving morale as well as efficiency.
Gitflow & Gitflow Workflow
GitFlow is one of the popular branching strategies if you using Git version control. Most of the teams I have worked with generally are very satisfied using it. With fixed branch names, pull requests for code reviews, teams find that it fits very nicely with their day to day workflow.
Gitflow Workflow is a Git workflow design that was first published and made popular by Vincent Driessen at nvie. The Gitflow Workflow defines a strict branching model designed around the project release. This provides a robust framework for managing larger projects.
Gitflow Workflow is a Git workflow design that was first published and made popular by Vincent Driessen at nvie. The Gitflow Workflow defines a strict branching model designed around the project release. This provides a robust framework for managing larger projects.
How BDD and Continuous Delivery Help Developers Maintain Flow
Programming is cognitive work, and programmers perform their best work under intense concentration. While there are external factors that can affect this, such as having a quiet office, controllable ways of communication, etc., there are also some internal factors that need to be taken into account. In fact, the way we work can influence the quality of the outcome the most.
Testing Python Applications with Pytest
Testing applications has become a standard skill set required for any competent developer today. The Python community embraces testing, and even the Python standard library has good inbuilt tools to support testing. In the larger Python ecosystem, there are a lot of testing tools. Pytest stands out among them due to its ease of use and its ability to handle increasingly complex testing needs.
Docker Image Size – Does It Matter?
Does Docker image size matter? The answer I usually hear is “yes”.
The logical question that follows is “why?”.
I’ve heard the following two answers too often for my liking:
The logical question that follows is “why?”.
I’ve heard the following two answers too often for my liking:
The Cracking Monolith: The Forces That Call for Microservices
The microservice architecture has recently been gaining traction, with many companies sharing their positive experiences with applying it. The early adopters have been tech behemoths such as Amazon and Netflix, or companies with huge user bases like SoundCloud. Based on the profiles of these companies and the assumption that there’s more complexity to running and deploying many things than to deploying a single application, many people understand microservices as an interesting idea that does not apply to them. It’s something that mere mortals could qualify for in the far distant future, if ever.
Continuous Delivery Patterns with Serverless Applications
Serverless is a new paradigm in which we need to neither administer nor scale the servers that run our code. The promise is that much less operations work is needed to deliver value to customers.
The catch is that the unit of code deployment is now a function, not an application of arbitrary complexity. Deployment also includes configuring managed services and infrastructure to which functions connect. This means that new tools and practices are needed to achieve optimal developer productivity, which, as always, revolves around being able to move fast. Here’s how this is achieved:
The catch is that the unit of code deployment is now a function, not an application of arbitrary complexity. Deployment also includes configuring managed services and infrastructure to which functions connect. This means that new tools and practices are needed to achieve optimal developer productivity, which, as always, revolves around being able to move fast. Here’s how this is achieved:
Two Key Docker Benefits and How to Attain Them
In 2013, Solomon Hykes showed a demo of the first version of Docker during the PyCon conference in Santa Clara. Since then, the benefits of Docker containers have spread to seemingly every corner of the software industry. While Docker (the project and the company) made containers so popular, they were not the first project to leverage containers out there; and they are definitely not the last either.
7 Ways Continuous Delivery Helps Build a Culture of Learning
At the heart of continuous delivery is a fast feedback loop that immediately shows developers the effects of their work. Mistakes are found and fixed quickly, while beneficial changes can be released and deployed to customers without having to wait for a distant future release date. This rapid feedback helps build an organizational culture of learning and responsibility.
Elements of a Continuous Deployment Workflow
Continuous delivery is a broad set of software development practices designed to ensure that every change is rapidly deployable to production, while the system performs its business function uninterrupted and as intended.
CI/CD principles
CI/CD enables the best tech companies to improve their products many times per day. Here’s what you need to know to do the same.
Why We Need Continuous Integration
The Problem
First, we will take a look at the source of the problem, which lies in the software development cycle. Next, we will cover some of the change conflicts that can take place during that process, and finally we will explore the main factors that can make these problems escalate, followed by an explanation of how continuous integration solves these issues.
First, we will take a look at the source of the problem, which lies in the software development cycle. Next, we will cover some of the change conflicts that can take place during that process, and finally we will explore the main factors that can make these problems escalate, followed by an explanation of how continuous integration solves these issues.
What’s the Difference Between Continuous Integration, Continuous Deployment and Continuous Delivery?
Continuous integration, continuous deployment, and continuous delivery are like vectors that have the same direction, but different magnitude. Their goal is the same: make our software development and release process faster and more robust.
Continuous Integration (CI) Explained
Continuous integration enables iterative software development, reduces risks from defects and makes developers highly productive.
What is Continuous Integration?
Continuous integration (CI) is a software development practice in which developers merge their changes to the main branch many times per day. Each merge triggers an automated code build and test sequence, which ideally runs in less than 10 minutes. A successful CI build may lead to further stages of continuous delivery.
What is Continuous Integration?
Continuous integration (CI) is a software development practice in which developers merge their changes to the main branch many times per day. Each merge triggers an automated code build and test sequence, which ideally runs in less than 10 minutes. A successful CI build may lead to further stages of continuous delivery.
CI/CD Pipeline: A Gentle Introduction
Do you want your engineering team to deliver bug-free code at high velocity? A fast and reliable CI/CD pipeline is crucial for doing that sustainably over time.
What is a CI/CD pipeline?
A CI/CD pipeline helps you automate steps in your software delivery process, such as initiating code builds, running automated tests, and deploying to a staging or production environment. Automated pipelines remove manual errors, provide standardized development feedback loops and enable fast product iterations.
What is a CI/CD pipeline?
A CI/CD pipeline helps you automate steps in your software delivery process, such as initiating code builds, running automated tests, and deploying to a staging or production environment. Automated pipelines remove manual errors, provide standardized development feedback loops and enable fast product iterations.
What is Proper Continuous Integration?
Continuous integration (CI) is confusing. As with all ideas, everybody does their own version of it in practice.
CI is a solution to the problems we face while writing, testing and delivering software to end users. Its core promise is reliability.
A prerequisite for continuous integration is having an automated test suite, and a clean/ordered repo too ;). This is not a light requirement. Learning to write automated tests and mastering test-driven development takes years of practice. And yet, in a growing app, the tests we’ve developed can become an impediment to our productivity.
CI is a solution to the problems we face while writing, testing and delivering software to end users. Its core promise is reliability.
A prerequisite for continuous integration is having an automated test suite, and a clean/ordered repo too ;). This is not a light requirement. Learning to write automated tests and mastering test-driven development takes years of practice. And yet, in a growing app, the tests we’ve developed can become an impediment to our productivity.
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