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DevOps for Developers - Amazon Web Services (AWS) - Amazon Ebook By Michael Huttermann Free Download 1.0

DevOps for Developers - Amazon Web Services (AWS) - Amazon Ebook By Michael Huttermann [APress]

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DevOps is the combination of cultural philosophies, practices, and tools that increases an organization's ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes.

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DevOps is a set of software development practices that combines software development and information technology operations to shorten the systems development life cycle while delivering features, fixes, and updates frequently in close alignment with business objectives.

DevOps is a buzzword in recent times and lot of people and organizations are using it frequently. There is no single right answer for the question "What is DevOps". It is all about perception, experience and understanding of the culture of the organization and how it fits in the current era.

Let's make it clear that DevOps is not a technology, tool or any innovative framework. It is more of a Philosophy and concept. We can also consider it as a culture of an organization where application lifecycle management is in the center of focus. However, DevOps is made of merging of two words 1) Development 2) Operations. Both the team has different responsibilities in the Application release management cycle. It is more related to communication, collaboration, feedback between different stakeholders such as developers, testers, infrastructure team, configuration management team, deployment team etc.

DevOps includes different sub concepts such as:
  • Continuous Integration: It is more of a culture of integrating application code or source code into the source code repositories such as SVN and GIT several times a day. Build tools such as Ant and Maven are used to verify check in by integrating source code repositories and continuous integration tools such as Jenkins, Atlassian Bamboo, etc.
  • Continuous Testing: Automated Testing or Unit testing to be more precise. Junit or Selenium is used for such kind of automated testing and these tools are integrated in the continuous integration behavior by tools.
  • Continuous Provisioning or Cloud Provisioning: Virtual machines or cloud instance are highly available, flexible and pay per use. It is beneficial to create different types of instances for different environment such as development, testing, staging, and production. Different cloud service providers such as Microsoft Azure, Amazon Web services can be used. Different Cloud service models can be taken into consideration such as Infrastructure as a Service or Platform as a Service.
  • Configuration Management: Configuration management is useful to make runtime environment ready in consistent manner across all the environments. Chef, Puppet or Ansible can be used as configuration management tools. It is very easy to manage resources with such tools in Cloud environment.
  • Continuous Delivery or Continuous Deployment: Continuous Delivery or Continuous Deployment is terms which used loosely in day to day use. Continuous Delivery can be used when package file is deployment ready into any environment while Continuous Deployment term can be used when package file is production deployment ready.

It is always useful to orchestrate end to end process of application release management. Visibility into orchestration gives insight into end to end automation process and that is highly useful in creating and maintaining DevOps culture.

Essential Features of Devops Technology in This Cloud Era
DevOps is the evolution of traditional application development and operations roles driven by consumerization of all software and business demand for agility. DevOps facilitates the needs of today's businesses to stay relevant by constantly innovating through software.
DevOps is about people and processes as much as if not more than tools. Without cultural and process changes, technology alone cannot enable DevOps success. DEVOPS, one of first challenges is to find out what the industry really thinks "DevOps" means. DEVOPS asked experts from across the industry to define what DevOps means to them. The purpose of this list is not to come up with a one-sentence definition of DevOps to appeal to all. The goal is to show just how many varied ideas are connected with the concept of DevOps, and in the process learn a little more what DevOps is all about.
Several of the top experts in the DevOps arena made this very clear while DEVOPS was compiling this list. That being said, a variety of technologies can be critical to supporting the people and processes that drive DevOps. DEVOPS asked experts from across the industry for their recommendation on a key technology required for DevOps.
DevOps tools are designed to support those definitive aspects of DevOps: collaboration, breaking down silos, bringing Dev and Ops together, agile development, continuous delivery and automation, to name a few.
List covers performance management, monitoring and analytics.
  1. APPLICATION PERFORMANCE MANAGEMENT: There are clearly so many tools vital to DevOps advancement, but Application Performance Management is the one that stands out today as it has become so highly ingrained as the primary vehicle by which practitioners aggregate and share critical data.
  2. MONITORING: While DevOps is most often associated with automation and continuous delivery/integration tools, I believe the single most important tool that organizations need to properly adopt and use to make a transformation to DevOps is a monitoring system. You cannot improve what you can't measure. Implementing key metrics across the business to help recognize areas that are in most need of improvement is the key to identifying the bottlenecks that prevent DevOps adoption.
  3. END USER EXPERIENCE MONITORING: The parts of DevOps which turn the tide around and start exposing data from production to developers are also increasingly deployed, but the processes around these are not. For example, tools that enable exposure to the actual end user experience in production would need to become more transparent for the engineering departments instead of just operations. Even more so, many of such tools provide value to the business side as well, so a successful deployment in the user experience monitoring domain would satisfy even more stakeholders.
  4. SYNTHETIC MONITORING: DevOps implies that you need to communicate between Ops and Dev in a good way. Using application/API driven synthetic monitoring will always give you the yardstick to measure your success.
  5. INFRASTRUCTURE MANAGEMENT: If you are stranded on a desert island (but with a strong and reliable Internet connection) you still need to ensure your infrastructure is performing and your users are happy with their experience. What's needed is a solid and extensible Digital Infrastructure Management Platform that can collect data from every layer of your stack, analyze what's normal, what's not, and visualize the impact of anomalous behavior. This will allow you to catch issues that can affect your operations before they truly impact your business.
  6. INCIDENT MANAGEMENT: Organizations must understand that tools are only one part of the answer. They must have the people, processes, and tools in place in order to successfully implement a DevOps environment. There are a number of helpful tools in the DevOps ecosystem. You want to think along the lines of productivity, repeatability, and safety when considering tools best suited to facilitate a DevOps mindset.
  7. ANALYTICS: DevOps needs tools that go beyond continuous release and deploy. They need tools that provide continuous analytics in order to measure and analyze application activities against business objectives. While the focus is often on continuous release and deploy, that is not always possible in some firms due to regulatory concerns. However, the need is there for continuous monitoring, tracking and analytics. First, use monitoring to gather end-user experience data as well as infrastructure and application data. Then, track and stitch transactions together to show a timeline of what happened. Finally, create shared metrics that enable the analysis to be compared to both technical and business objectives.
  8. MANAGER OF MANAGERS: The DevOps agile development model extends to its tools, and we've seen a huge proliferation of tools introduced to improve some aspect of monitoring. While each tool solves a specific problem, the proliferation has inadvertently fostered silos of expertise, domain-specific views and massive data volumes generated in various formats. As application count and architectural complexity increases, the must-have tool to scale production support is an analytics-driven Manager of Managers. It has to ingest all of this operational event data and apply machine learning to automate the noise reduction and alert correlation. This gives DevOps teams earlier warning of unfolding issues, better collaboration, visibility into root cause - ultimately reducing the impact of production outages and incidents.
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5 Significant Open Source DevOps Tools for Automation
DevOps signifies that there should be more co-ordination and co-operation between the Development and the Operations teams. It reduces the silos between the two teams in a well defined manner such that the operations and the development teams work hand in hand. This sort of unification allows for better and quality product delivery. With more and more enterprises moving towards DevOps in order to streamline development and deployment, this is all possible with certain open source DevOps tools. The major advantage with these open source tools is that they provide a lot of visibility into the source code and helps in handling transforming market needs. It streamlines the process of development and deployment thus finally improves overall product quality.

Some of the most predominantly used DevOps Tools are:
  1. Icinga (Nagios) for Infrastructure and Service Monitoring: Significantly, this is a predominant open source tool developed as a fork from the Nagios monitoring application which is also an open source network monitoring tool. This tool has good affectivity as it has high modularity and facilitates to add interfaces and plugins to suit the project needs. This is a best in class monitoring tool with high multithreaded design that is flexible for integrations with plugins, modules and third party services. The most interesting fact about this tool is that it supports all major configuration management systems.
  2. Chef for Configuration Management: This is an open source DevOps tool that is useful to achieve speed, scale and consistency. It is cloud based and can be used extensively to ease out complex tasks and perform effective automation.
  3. Jenkins for Monitoring of Repeated Tasks: It is an important tool that helps to integrate project changes very easily by quickly finding out the issues. This is a highly useful DevOps tool for automation. Typically, this built in GUI tool has very little maintenance and offers nearly 400 plugins to support building and is used to perform testing virtually on any project. It supports the most important DevOps feature of continuous integration and continuous delivery.
  4. Docker for Container Management: IT facilitates DevOps teams to build, and run distributed applications and facilitates to work collaboratively. It supports flexible image management and has a private registry to store and manage images and configure image caches.
  5. Ansible for Configuration Management: This is one of the configuration management tool that is very similar to Puppet and Chef. If simplicity is your desired KPI then you can choose Ansible. It forms a simple way to automate the entire application lifecycle. It further helps DevOps teams to scale up automation and speed up productivity. It helps to manage complex deployments and thus speeds up the development process.

Integrate with an Agile DevOps Service Provider to catch up with your product delivery for an Effective DevOps vision.

It is all possible to build superior products as you become agile through continuous development and continuous deployment through adoption of DevOps methodology that embeds an agile manifesto.

What is Agile Manifesto?
• Individuals and interactions over processes and tools.
• Working software over comprehensive documentation.
• Customer collaboration and contract negotiation.
• Responding to change through following a plan.

DevOptimize enables rapid delivery of capabilities to the end consumers by breaking the silos between product owners, architects, developers, testers, release managers, and system operators and thus stimulating collaboration and innovation between development and operations teams. It also offers iterative development process and encompasses all aspects of DevOps lifecycle to achieve maximum effect and efficiency paving way for more agile deployments.
Top DevOps Trends
The increasing reliance of the software delivery market on DevOps practices demonstrates that DevOps will continue to emerge as a standard practice for software development. Enabling the culture and practices that bring teams responsible for software engineering and operations to work closely as a unit, DevOps is helping businesses - both enterprises and startups - get to the forefront of software innovation. In fact, investing in DevOps is now, more than ever, a necessity for forward-thinking companies who aim to not only shorten the development and delivery time of software, but also successfully minimize the number of errors and bugs.

Having said that, here are some of the most prominent DevOps trends that organizations will continue to pursue in the coming years.

Uninterrupted Delivery
There is nothing called a 'final product' in the software development business. Both customers and end-users are constantly searching for new functionalities and features. Moreover, as the deployment environment continues changing, developers are encountering newer challenges in terms of software configuration management, bug fixing and solving errors in the production code.

Continuous delivery and DevOps, therefore, should complement one another to offer users the best results with minimum overhead. Jenkins is one of the most powerful tools that software developers are using to centralize engineering and operations. This tool offers developers the opportunity to make changes to the source code, which is located in a shared repository, as per users' needs. The goal of continuous delivery with Jenkins is simpler to obtain, compared to other tools, such as BuildBot and Travis.

Constant Monitoring

Continuous monitoring is another powerful trend that all software developing enterprises must adhere to, in order to develop a comprehensive understanding about the performance and availability of any application. The use of Nagios tool would surface more strongly in future to comply with the objective of constant monitoring. Owing to the reports produced by the tool, developers will be able quickly locate the source of an error and resolve it; thereby, leading to lowering of the development cost.

Orchestration

DevOps orchestration is the need of the hour as it leads to the consolidation of various tools, both open source (Kubernetes, Docker Swarm) and paid ones (AWS ECS, Google Containers, Microsoft Containers). Through DevOps orchestration, software engineers attain the goal of value-added management of resources and seamless cross-team sharing. Tool orchestration helps enterprises reduce the cost of software development by controlling the consumption of resources during the launch of multi-container packed application.

The 2016 DevOps Trends Report reveals demanding environments, usability, reducing production costs and offering customers more value are the key drivers that are likely to increase DevOps adoption at the enterprise level to over 80%, while the rise is estimated to be 70% in case of small and medium businesses.

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