Wanna be a DevOps Engineer? Here’s How!

Role and Responsibilities of a DevOps Engineer - Kovair Blog

DevOps is the fusion of social thinking approach, practices, and apparatuses that builds an association’s capacity to deliver products and service at high pace: developing and adapting products at a quicker speed than businesses utilising customary software development and infrastructure management procedures. This speed empowers companies to give their customers comprehensive services and stay ahead of their contemporaries. DevOps is the posterity of agile software development – conceived from the need to stay inline with augmented programming speed, and throughput agile strategies have accomplished. Development in agile culture and approaches over the past few years revealed the requirement for a more universal approach for the end-to-end software delivery lifecycle.

Who is a DevOps Engineer?

DevOps Engineer Starter Guide – Stackify

DevOps Engineer is a professional who comprehends the Software Development Lifecycle and has the inside and out knowledge of different automation technologies for creating advanced pipelines (like CI/CD). DevOps Engineers works with designers and the IT team to manage the code discharges. They are either designer who gets inspired by deployment and network operations or system admins who have an interest in scripting and coding and move into the development side where they can planning of testing and deployment.

In DevOps, there is a need to have a continuous and gradual change in the code so that testing and deployment are conceivable. It probably won’t be persistently feasible for DevOps Engineers to do the coding from the start again and again; in that case, they need to know about it. There is a need for DevOps Engineers to associate different components of coding alongside libraries and programming advancement packs and incorporate different parts of SQL data management or various messaging tools for running programming release and deployments with OS and the production foundation. This article walks you through the skills required to be a DevOps Engineer:

1. Knowledge of Prominent Automation Tools

Resultado de imagem para devops wallpaper

DevOps is continually evolving. To guarantee that your DevOps abilities are up to the mark, you should keep yourself updated with the best DevOps tools.  These DevOps tools facilitate faster bug fixes and improved operational support, along with increased team flexibility and agility. They result in happier and more engaged teams and promote cross-skilling, self-improvement and collaborative working. The top DevOps tools are:

a) Bamboo: Bamboo has numerous pre-assembled functionalities that will assist you to automate your delivery pipeline, from builds to deployment. you needn’t bother with that numerous modules with Bamboo, as it does numerous things out-of-the-box with fewer yet more efficient modules.

Bamboo - the Continuous Integration System that interacts smartly with Jira and Bitbucket. Thanks to EPS your specialists are freed from routine work in no time. Consulting, installation, configuration, support, training, etc.

b) Docker: Docker has been one of the most significant DevOps apparatuses out there. Docker has made containerisation mainstream in the tech world, mostly because it makes disseminated development conceivable and computerises the deployment of your applications. It separates applications into discrete holders, so they become convenient and increasingly secure.

The what and why of Docker. A Beginner's guide to Docker — how to… | by Shanika Perera | Medium

c) Git: Git is one of the most renowned DevOps tools and is extensively used across the DevOps industry. It’s a distributed source code management tool that is highly appreciated by remote team members, freelancers, and open-source contributors. Git enables you to track the progress of your development work.

Git | Jenkins plugin

d) Jenkins: It is a reliable and most trusted automation tool for a great number of DevOps teams across the globe. It’s an open-source CI/CD server that enables the engineers’ to mechanise various phases of the delivery pipeline. Its vast plugin ecosystem has made it a very renowned and popular tool. As of now, it offers more than 1,000 plugins and still counting, and so it integrates with majority DevOps tools.

PHPro - Jenkins en Pipeline

e) Raygun: Spotting bugs and finding execution issues is a fundamental need of the DevOps procedure. Raygun is an application execution observing tool that can assist you with discovering bugs and find execution issues through continuous checking.

Raygun - CI/CD Tools Universe

f) Gradle: Gradle is a developer fabricated tool that is utilized by tech-biggies like Google to assemble applications and is displayed in a manner that is extensible in most elementary ways. For instance, Gradle can be utilized for native development with C/C++ and can likewise be extended to cover other programming languages and platforms.

Gradle - Wikipedia

g) Ansible: Ansible is an open-source application development, config management, and programming provisioning tool that can run on UNIX-based frameworks just as Windows-based frameworks. This DevOps tool designs a framework for software development and furthermore automatic deployment and delivery.

Setting up your development environment with Ansible - Roelof Jan Elsinga

h) Kubernetes: While the Docker permits you to run applications in compartments, Kubernetes goes above and beyond by permitting engineers to run holders in a group in a protected way. With Kubernetes, designers can consequently oversee, screen, scale, and convey cloud-native applications. Kubernetes works as an amazing orchestrator that oversees communication among units and directs them as a group.

Why Is Storage On Kubernetes So Hard? - Software Engineering Daily


Puppet | Fuzzco | Puppets, Shop logo, Tech company logos

A puppet is a renowned tool utilized for configuration management. It is an open-source stage that has a decisive language depicting its framework arrangement. It can run on an assortment of frameworks, including Unix-based frameworks, IBM centralized server, macOS Servers, Cisco switches, and Microsoft Windows. It is basically used to pull strings on various application servers without a moment’s delay.

Elk Stack

Creating a Multi-Node ELK Stack – Burnham Forensics

Elk Stack is a mix of three open-source ventures – Elasticsearch, Logstash, and Kibana that is helpful to gather bits of knowledge into your log information. With its downloads exceeding millions, Elk Stack is one of the most well-known management platforms. It is a superb DevOps tool for associations that need centralized logging framework. It accompanies a ground-breaking and flexible innovation stack that can streamline the outstanding burden of tasks and furthermore offer you business insights for no extra cost.

2. Programming Skills and a basic understanding of Scripting Languages

Difference Between Programming, Scripting, and Markup Languages - GeeksforGeeks

A DevOps Engineer need not be a coding expert but must have the fundamental knowledge of coding and scripting. These languages are mostly utilized in designing the automation processes and to achieve continuous integration/continuous delivery (CI/CD). Top DevOps Programming Languages are:

C: In this internet era, the majority of the code is written in C, and different languages reuse a significant number of its modules to facilitate the programming experience. Learning C is substantial so as to have the elementary knowledge of coding and to work on KVM and QEMU ventures.

JavaScript: The entire world wide web is the offspring of JavaScript. Many of the most well-known systems and libraries are written in JavaScript, from Angular to React and Node. Back end execution isn’t the only thing that this language brings to the table: the monstrous network of engineers implies that there’s consistently help accessible on GitHub or Stack Overflow. JavaScript is a sure thing for engineers.

Javarevisited: Top 10 Courses to Learn JavaScript in 2021 - Best of Lot

Python: It has been utilized to fabricate cloud infrastructure tasks and assists web applications through systems like Django. Python is an agreeable all-purpose with a wide scope of utility. Python additionally upholds great programming rehearses through its elaborate prerequisites, which guarantees that code composed by one individual will be understandable to another- – a significant element in a DevOps world, where visibility should be constant.

Top 11 Python Frameworks in 2018 – Stackify

Ruby: Ruby advantages from an enormous assortment of community-produced modules that anybody can incorporate into applications to add usefulness without composing new code themselves. It empowers an entirely adaptable way to deal with programming and doesn’t anticipate that designers should adopt a specific strategy to compose code.

Ruby Programming Jobs in Serious Decline: Dice Data

3. CI/CD (Continuous Integration/Continuous Delivery)

Continuous integration vs. continuous delivery vs. continuous deployment

Information on different automation tools isn’t sufficient as you should also know where to utilize these. These automation tools ought to be utilized so as to encourage Continuous Integration and Continuous Delivery. Continuous integration and Continuous Delivery are the procedures where your development squad includes constant code changes that are pushed in the principle branch while guaranteeing that it doesn’t affect any progressions made by designers working parallelly.

4. Software Security

Secure Software Development: Step-by-Step Guide

DevSecOps (Security DevOps) has emerged as one of the tech buzzwords in the previous year for a reason being that DevOps helps in creating and deploying programs way more quickly, it likewise makes a lot of vulnerabilities, since security groups can’t stay aware of the quicker cycle. Basically, not just excellent code but bugs and malware can also be sent a lot quicker at this point. Presenting DevOps without having culminated security forms in the IT-association is a catastrophe waiting to happen. Accordingly, DevOps ought to have the fundamental programming security aptitudes to have the option to bring security into the SDLC directly off the bat.

 5. Efficient Testing Skills

15 Must Have Skills For a Top Automation Tester

DevOps is gigantically affected by how well testing is done in a tech-based company. You can’t robotize the DevOps pipeline if effective constant testing, the procedure of executing automatic tests, isn’t set up. Continuous testing ensures that each computerized trial gets executed the way it should, or there is a huge risk of pushing faulty code straight away to clients, which isn’t acceptable.

 6. Soft Skills

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In addition to the fact that DevOps requires solid abilities like coding and robotization, yet it additionally requires such delicate aptitudes as adaptability, self-inspiration, and sympathy. A DevOps engineer is somebody who constructs associations and mitigates bottlenecks, which is achieved by conversing with individuals. Correspondence and cooperation are the abilities that can represent the moment of truth for a DevOps Engineer in any association. They ought to see how the association runs, who the individuals who oversee it are, and what the association’s way of life is to abstain from making conflict focuses and limitations.

Role of a DevOps Engineer

Senior DevOps Engineer job description template | TalentLyft

DevOps professionals come from a multitude of IT backgrounds and begin the role in different places in their careers. Generally, the role of a DevOps engineer is not as easy as it appears. It requires looking into seamless integration among the teams, successfully and continuously deploying the code. The DevOps approach to software development requires recurring, incremental changes, and DevOps Engineers seldom code from scratch. However, they must understand the fundamentals of software development languages and be thorough with the development tools utilized to make a new code or update the existing one.

A DevOps Engineer works alongside the development team to handle the coding and scripting expected to associate the components of the code, for example, SDKs or libraries and coordinate different parts, for example, informing tools or SQL DBMS that is required to run the product discharge with OSs and generation framework. They ought to be able to deal with the IT framework as per the sustained software code devoted to multi-tenant or hybrid cloud environments. There’s a need to have a provision for required assets and for obtaining the suitable organisation model, approving the launch and checking execution. DevOps Engineers could either be the network engineers who have moved into the coding area or the designers who have moved into operations. In any case, it is a cross-function job that is seeing an immense hike in the manner software is developed and deployed in object-critical applications.


DevOps Engineer Roles & Responsibilities – BMC Software | Blogs

DevOps isn’t very hard to understand. It just requires a person to have a ton of hard and soft skills. DevOps specialists ought to have the option to do a great deal on the tech side of things — from utilizing explicit DevOps devices and overseeing framework in the cloud to composing secure code and checking mechanization tests. They ought to be people who are passionate about what they do and who are prepared to convey the gigantic measures of significant worth. They ought to be interested and proactive, compassionate and self-assured, solid and reliable. They ought to have the option to place clients’ needs over their teams’ needs and make a move when required. The DevOps job isn’t simple, yet it is absolutely justified, despite all the trouble to turn into a DevOps. To take things off the ground, check what number of the DevOps aptitudes highlighted in this article you have. On the off chance that you come up short on some of them, be proactive and start adapting at the present time!


What is DevOps? – AWS

FAQs on DevOps

What is DevOps?

DevOps (Development & Operations), a design and operations system, is an approach that works closely with software developers and operations. DevOps was developed in 2009 with the aim of improving communication and integration development and operations in order to benefit fully from modern software development approaches.

Build in one Org, Release from another with Azure DevOps | by Dave Lloyd | ObjectSharp | Medium

The entire range of application management operations has become considerably more complex in this complex environment. At the same time, software applications must be designed, developed, deployed, architected, and monitored via an ongoing, never-ending lifecycle. DevOps is an agent of change in the current business environment, which supports such complex applications.

The clear answer to the frequently asked question, “What is DevOps” is DevOps is a collaborative, team-based approach to technology delivery that leverages experts with cross-functional development and organizational expertise to address issues relevant to applications.

Characteristics of a good DevOps

Corporations and companies have varying degrees of success in introducing and implementing a DevOps system for their IT departments, these are the common characteristics they show:

1. Short, iterative development cycles

What Is the Agile Iterative Approach and Where Is It Used? | nTask

DevOps allows an organization to develop and launch new products and services more efficiently through a build-measure-learn process, beginning with minimally viable products (MVPs) running on the production infrastructure.

2. Driven by Metrics

An Intro to Metrics Driven Development: What Are Metrics and Why Should You Use Them?

Use lean startup methodologies, evaluating ideas, and designing of MVPs offers immediate feedback to product or service creators and backers, providing valuable data to decision-makers on the continued feasibility of the current process.

If a pivot is required to align the plan more closely with the organizational and strategic priorities, the indicators will support that decision.

3. Focused on People

FOCUSED | Karmel Soft

Even in library systems with a single member, the DevOps team of a library must always concentrate on the people being served. Professional resources and technology departments of the library need to guide research and decision-making based on the actual use of members of the library system and the interest of library leadership in looking for the edges of their populations.

DevOps working Lifecycle

DevOps principles are not only applied throughout the lifecycle, but they include growth, operations, and business stakeholders at all times. The DevOps framework explores the challenges of serving the dynamically changing and business-critical architectures of today’s technology.

In this model, the DevOps interactions at each stage are as follows:

1. Assess

How to assess what people learned? - TalentLMS

Business stakeholder feedback (for new services) and service-level agreement reviews, (for existing services) are used to define goals for new business offerings and to modify existing ones.

2. Design

Logo design process: how professionals do it -

At this stage design and development are given importance. The primary responsibility of design is to incorporate requirements into a software design. Business is responsible for educating production on specific requirements, as well as evaluating the project and signing it off.

3. Develop

Great Leaders Develop Their People: What Development Entails | Unbridling Your Brilliance

Development is ultimately responsible for building software that meets the needs of the business. Operations are introduced when necessary to support development teams in building and testing environments and/or to advise on network requirements and expected delivery times.

4. Test

Test Driven Development, like a boss | by Vedant Agarwala | Medium

While Development and QA teams perform unit and integration testing, Operations participates in integration and load testing to assess operational readiness.

5. Release

Release Notes · Small Improvements

This is the traditional handoff stage of DevOps, but the handoff in this scenario is a change in leadership roles versus a shift in responsibility. Development and Operations (or DevOps) teams lead this stage, while end-user acceptance processes are conducted by business stakeholders.

6. Manage

How To Effectively Manage Your Team's Workload • Asana

Infrastructure, systems and application management tools track manufacturing environments and applications during this phase. Service level management (SLM), quality and availability management, troubleshooting/root cause analysis and resource management solutions all track and assess the output of applications as part of ongoing assessments.

AWS DevOps

AWS DevOps with Amazon security & Amazon cloudwatch provides flexible and speedy DevOps services for companies.


1. Monitoring

ICINGA2 – Monitoring MySql

Enables monitoring and logs to see how the quality of software and infrastructure affects the end-user experience of their service.

2. ChatOps (AWS Chatbot)

Introducing AWS Chatbot: ChatOps for AWS | AWS DevOps Blog

It is the latest feature which easier to review the notification and execute commands in Slack channels and Amazon Chime chat rooms. Chatbot supports:

  • Amazon CloudWatch
  • AWS Health
  • AWS Budgets
  • AWS Security Hub
  • Amazon GuardDuty
  • AWS CloudFormation
3. Microservices

Introduction to Microservices - Comunytek

Microservices turn the task of building an application into several microservices. Each system operates independently and communicates with other services via a well-defined interface using a lightweight mechanism.

4. Infrastructure as Code

What Is Infrastructure as Code? How Infrastructure as Code Works

The cloud-driven API model allows developers and system administrators to communicate programmatically and on a scale with infrastructure, rather than setting up and configuring resources manually.

5. Continuous delivery

FlexDeploy | Continous Delivery

DevOps have become essential elements contributing to the rise of continuous delivery. Continuous delivery is a software development practice, the term describes an iterative and continuous process of software development, evaluation, and distribution to the desired endpoint. The destination may be a manufacturing setting, a staging environment or a set of software products.

Advantages of DevOps

What are the Advantages Of DevOps?|DevOps & Automation

  • Speed: The developers and operation team is able to get their results faster
  • Scale: Operate and manage infrastructure and growth processes at scale. Automation and reliability allow you to handle complex and evolving processes effectively and with reduced risk.
  • Reliability: Devops highly reliable because of the quality of application updates
  • Security: You can use automatic enforcement protocols, fine-grained processes, and configuration management tools to implement a DevOps framework without compromising security.
  • Collaboration: Collaboration of developer and operation using DevOps team increases efficiency and save time

In this journal, we have discussed the enhanced definition of and vividly taken a deep dive in what is DevOps. We can now understand that DevOps provides software development teams with the ability to control and accountability to deliver software efficiently and often especially for small to medium-sized enterprises in the production environment.

In this case, the capability comes from their ability to acquire new skills from operations-related tasks while operating under pressure at the same time. I also established that DevOps in companies is a long-term endeavor that, in addition to technological methods, requires a supportive culture and a mindset. Such cross-functional collaboration is most effective when supported by senior management and customers.

Hey! Have a look to the all new Online DevOps Dojo



DevOps dojos have been wildly popular as on-site workshops that support an organization’s DevOps transformation. But even before COVID-19 and social distancing, in-person sessions had their limits. They could only reach a certain number of employees and customers. To bridge the gap, Anteelo has created Online DevOps Dojo — an open source, immersive learning experience for the DevOps community.

We designed the online dojo as an extension, not a replacement, for on-site DevOps dojos, but now that social distancing is the “new normal,” the timing for an online dojo is even more relevant.

Our primary goal, however, is not to offer training, but to contribute a set of DevOps learning experiences so the DevOps community can assemble and create more content in support of DevOps adoption and talent reskilling. We are eager to build a community around the Online DevOps Dojo — a community of module maintainers, translators, story tellers and even creators of new learning modules.

An immersive story

We designed the Online DevOps Dojo around a story, because there’s nothing better than a good story to get people immersed in something. The Online DevOps Dojo learning modules tell the story of a fictitious company, “Pet Clinic,” and its employees as they go through their DevOps journey. Throughout the modules, you learn about the characters, interact with them, and understand how each one plays a role in the DevOps transformation of Pet Clinic.

Online DevOps Dojo

The modules, a mix of cultural and technical topics, illustrate important DevOps patterns — how to lead change, version control, continuous integration and “shift left” security — as described in various blog posts, white papers and great books such as “Accelerate” by Nicole Forsgren, Jez Humble and Gene Kim.

The modules provide an interactive experience in which you can follow the step-by-step instructions as well as go off script to explore and learn more, without fear of breaking anything.

Participants can use the Online DevOps Dojo to:

  • Prepare for a face-to-face DevOps dojo, typically a 1- to 2-week event (that can also be held virtually), by learning techniques in advance
  • Create a complete curriculum with hands-on labs
  • Provide a way to get knowledge when you most need it, all within your browser
  • Share what “good looks like” when answering a question around any DevOps pattern
  • Leverage the story and characters, and even extend the story to create more learning experiences (not necessarily DevOps-related)

We have released the Online DevOps Dojo modules under the Mozilla Public License 2.0 so they are available to benefit the entire DevOps community.

DevOps Icon Set W Dev Ops Web Header Banner Royalty Free Cliparts, Vectors, And Stock Illustration. Image 129846534.

What’s next? Experiment and contribute

As you “shelter in place,” we encourage you to spend some of your time trying out the learning modules. We sincerely hope you’ll enjoy them and that they will help support your DevOps adoption. Depending on the reception of the initial launch, we also plan to release new modules.

Let’s support DevOps adoption! Start browsing the code of the Online DevOps Dojo, review the guidelines for contribution and ask a question by opening an issue in the GitHub repository.

How DevOps’ is reaping the benefits of microservices!

What is DevOps? - DevOps Explained

In the world of “one-up” IT, it seems like almost everyone is wanting to understand how to integrate microservices into their solution architecture. And rightly so. The benefits of using microservices are numerous and varied. Let’s examine some of these positives and consider if they can help you solve some of the problems that you are facing today.

Agile scalability

Future of CIO: Agile Scalability

In a traditional Web application, you can author scaling rules such that when a certain request count is reached, additional instances of the entire Web application can be automatically spun up on newly (and dynamically) allocated Web servers. However, you do not have any control over which specific area of that Web application needs to be scaled. Do you need to scale the entire Web app, or just a part of it?

For instance, there could be a queued backup of HTTP requests waiting to post values into a payment system. Perhaps there is a rather extensive validation algorithm that needs to be processed before the payment can be finalized. This small yet often-accessed part of the Web app could thus become a bottleneck. In traditional scaling of a Web app, to scale up new Web servers would be dynamically provisioned, the entire Web app will be loaded onto those servers, and the process will continue.

A more efficient architecture design would be to scale up just the payment service on its own. Not only would that be quicker (since you are not provisioning new versions of the complete Web app), but it uses less resources (since you are only scaling a piece of the solution).

To further save in resources and time, add in a cloud provider to leverage its container technology to host microservices and other cloud services to help with innovation, scalability, provide resource optimization.

Focused development

Motivation Pour Le Développement Personnel Photo stock - Image du personnel, inspiration: 139889716

The goal of “micro” service is to do one thing only but do it very well to meet the needs of the business. This typically means a small team, a finite and very focused development scope, and functionality to design and implement the microservice very well. Services should be “slim” and keenly targeted and no overlapping functionality with other supporting microservices. When this is accomplished, consumers of that service can thus focus on using that service and could care less about its implementation or how the microservice accomplishes its goals.

Keeping development focused at the microservice level gives teams the chance to experiment. It is very very easy for multiple versions of a microservice to co-exist for A/B testing. You can route certain percentages of requests to the different versions, assess /compare the results, and then make design decisions. This can be done multiple times per day if necessary. This ability to experiment is not possible with anything larger than a microservice.

When decomposing the monolith down to microservices, we are now free to implement each microservice in the most effective way. This may mean using a different version of Java or NodeJs than what the other microservices are using. Or you can go all the way in on polyglot development and allow teams to choose the specific technology (e.g. Java, .NET, Go, etc.) they want for their given service.

DevOps Integration

Looking for continuous integration and continuous delivery in QA? DevOps can help you

With all these independent teams developing non-overlapping and focused microservices, how to we integrate this all together into a viable solution?   The DevOps model can serve as a facilitator.  Both microservices and DevOps offer an agile model that is a key component of the microservices model.  Well-designed microservices follow this model to assist in development, speed, and agility – yielding smaller and more frequent releases. Continuous Integration (CI) is all about integrating frequent releases and thus is a perfect platform for a microservices release model.  This model encompasses shorter build, test, and deployment cycles that fuel the ability to quickly roll out new versions of a service.

Microservices bring additional productivity to DevOps by embracing a shared toolset, which can be used for both development and operations. That common toolset establishes shared terminology, as well as processes for requirements, dependencies, and problems. This encourages development and operations teams to work better with one another, allowing those entities to work jointly on a problem to successfully fix a build configuration or a build script.

DevOps and microservices work better when applied together. This is especially true when DevOps automation is added to the equation, ensuring you get the same process followed exactly each time through the CI/CD pipeline.  Automation also cuts down significantly on the time to process the new code/build/test/deploy cycle.

Standardized Communication

What is Business Communication? Why Do You Need It?

Microservices communicate using common mechanisms, such as RPC (such as REST or SOAP), or messaging. This promotes easy interaction with them. With RPC, a service makes a synchronous request to another service, then waits for that called service to respond back. While it is a simpler programming model due to the logic of the caller continuing immediately upon return from the RPC call, it can also have blocking/waiting issues while calls are waiting to complete.

If asynchronous communication is required to avoid blocking calls, then messaging can be used.  Here a message is “published” into a message broker. That broker takes the message and forwards it on towards “subscriber” receivers who have registered to be notified if this message is published.  The publisher (calling code) can then return immediately after publishing the message to the broker and does not have to wait for the message to process.

Evolutionary Architecture

Guiding Principles for an Evolutionary Architecture | Aidan Casey

One of the big architectural benefits of microservices is how well microservices support the ability to implement an “evolutionary” architecture. This allows you to continually innovate and incrementally change without incurring any significant cost, risk and change to those services that are running on it.

The advantages of microservices

These are the primary positives of microservices. Together they form a very efficient and streamlined agile model for development. However, microservices are not a technology to blindly make everything better. There is overhead in developing them, and it is a more complex model in certain ways than a monolithic architecture. Due to this complexity, we must use the Agile development method, and DevOps automation.

DevOps Engineers: What do they really do?

DevOps is no magic, but it can definitely look like it from the outside. In today’s corporate world, workers in the innovative fields are generating new roles for themselves. The role of the DevOps Engineer is one instance of such. There’s a lot of misconception regarding who is a DevOps Engineer? Are they the person who writes the code or are they responsible for the work of a system engineer? Well! Not exactly. Through this post, I shall guide you through the roles and responsibilities of a DevOps Engineer.

What is DevOps?

DevOps | Akamai

DevOps is the blend of cultural philosophies, tools, and practices that increases an organization’s ability to deliver services and applications at high speed: evolving and upgrading products at a faster rate than organizations using traditional software development and infrastructure management procedures.

This speed facilitates organizations to serve their customers better and compete more efficiently in the market. DevOps culture is introduced to create better collaboration, improved communication, and agile relations between the Operations team and the Software Development Team. Under a DevOps model, the gap between the development and operations teams is bridged. Sometimes, the two teams are merged into one team where the engineers work through the entire application lifecycle, from development to test and deployment to operations, and develop a set of skills not limited to a single function.

The teams make use of practices to automate procedures that traditionally have been slow and manual. These tools also support engineers to independently achieve tasks that normally would’ve required help from other teams, and this further enhances a team’s velocity. Simply put, DevOps is a set of practices that combine Software Development (Dev) and IT operations (Ops) which intend to shorten the systems development life cycle and provide continuous delivery with high software quality

Unlike popular opinion, DevOps is not:

  • a combination of the Development and Operations team.
  • a tool or a product.
  • a separate team.
  • automation.

However, DevOps is a process that includes continuous:

  • Integration
  • Development
  • Testing
  • Deployment
  • Monitoring.

Understanding the role of a DevOps Engineer.

The DevOps Engineer is truly a revival of the cloud infrastructure IT services. It is often strenuous to understand this role because the DevOps Engineer is the product of the dynamic workforce that has not yet finished evolving.

DevOps professionals come from a multitude of IT backgrounds and begin the role in different places in their careers. Generally, the role of a DevOps engineer is not as easy as it appears. It requires looking into seamless integration among the teams, successfully and continuously deploying the code. The DevOps approach to software development requires recurring, incremental changes, and DevOps Engineers seldom code from scratch. However, they must understand the fundamentals of software development languages and be thorough with the development tools utilized to make a new code or update the existing one.

A DevOps Engineer will work along with the development team to tackle the coding and scripting needed to connect the elements of the code, such as software development kits (SDKs) or libraries and integrate other components such as messaging tools or SQL data management that is needed to run the software release with operating systems and production infrastructure.

A DevOps Engineer should be able to manage the IT infrastructure in accordance with the supported software code dedicated to multi-tenant or hybrid cloud environments. There’s a need to have a facility for required resources and for procuring the appropriate deployment model, validating the release and monitoring performance. DevOps Engineers could either be the system administrators who have moved into the coding domain or the developers who have moved into operations. Either way, it is a cross-function role that is seeing a huge upward trajectory in the way software is developed and deployed in object-critical applications.

It isn’t rare for DevOps to be called to mentor software developers and architecture teams within an organization to educate them about how to create software that is easily scalable. They also work with the security teams and IT to ensure quality releases. Some DevOps teams include DevSecOps, which bids DevOps principles to driven security measures.

The DevOps Engineer is a significant IT team member as they work with an internal customer. This includes software and application developers, QC personnel, project managers and stakeholders usually from the same organization.

They rarely work with end-users, but keep a “customer first” mindset to comply with the needs of their internal clients. A DevOps Engineer is a customer-service oriented, team player who can arise from a number of different work and educational backgrounds, but through their vivid experience has developed the right skill set to move into DevOps.

Tasks of a DevOps Engineer.

Anteelo Design

Typically, the role of a DevOps Engineer comprises of the following duties:

  • Work with a variety of open-source tools and technologies for managing source codes.
  • Deploying multiple automation tools of DevOps to perfection.
  • Continuous iteration of software development and testing.
  • Connect to business and technical goals with alacrity.
  • Analyze code and communicate descriptive reviews to development teams to ensure a marked improvement in applications and on-time completion of projects.
  • Design, develop, and implement software integrations based on the user’s review.
  • Apply cloud (AWS, GCP, Azure) computing skills to deploy upgrades and fixes.
  • Troubleshoot production problems and coordinate with the development team to streamline code deployment.
  • Conduct systems tests for performance, availability, and security.
  • Collaborate with team members to improve the company’s engineering tools, data security, systems, and procedures.
  • Optimize the company’s computing architecture.
  • Troubleshooting documentation.
  • Implement automation tools and frameworks (CI/CD pipelines).
  • Develop and maintain design
  • Understand the needs and difficulties of a client across development and operations
  • Formulate solutions that support business, technical strategies and organization’s goals.
  • Develop solutions encompassing technology, process, and people for continuous delivery, build and release management, infrastructure strategy & operations, a basic understanding of networking and security
  • Implement and recommend solutions.
  • Expertise and knowledge in current and emerging processes, techniques and tools
  • Build the DevOps practice within ThoughtWorks and drive our thought-leadership externally
  • Timely identification and resolution of problems.
  • Design, develop and maintain the CI/CD tools and infrastructure to deliver Horizon Cloud Service

Skills required for a DevOps Engineer

10 Must Have Skills for DevOps Professionals - Whizlabs Blog

  • A Bachelor’s degree in Engineering, Computer Science or relevant field.
  • 3+ years’ experience in the software engineering role.
  • Expertise in code deployment tools (Puppet, Chef, and Ansible).
  • Expertise in software development methodologies.
  • Experience of server, network, and application-status monitoring.
  • Ability to maintain Java web applications
  • Strong command on software-automation production systems (Selenium and Jenkins).
  • Knowledge of Python or Ruby and known DevOps tools like Git and GitHub.
  • Working knowledge of various databases like SQL (Structured Query Language).
  • Problem-solving attitude.

It is essential to understand that a DevOps engineer is built out of the growing needs of the business to get a tighter hold of the cloud infrastructure in a hybrid environment. Organizations implementing DevOps skills yield better advantages such as spend relatively less time on configuration management and faster deployment of applications. Demand for people with DevOps skills is growing exponentially because businesses get great outputs from DevOps. Organizations utilizing DevOps practices are overwhelmingly high-functioning: They deploy code up to 30 times more often than their competitors, and 50 percent fewer of their deployments fail, according to 2013-2017 State of DevOps.

Don’t go digital unless you can guarantee continuous delivery.

Continuous integration | ThoughtWorks

Want to succeed in a digital world? You’re going to need agility, agility, and more agility – and that means building your business on an agile infrastructure and using agile software methodologies that include continuous delivery (CD), a technique designed to infuse users’ input and experience.

What is CI/CD?

CD extends the automated testing used in continuous integration (CI) all the way into production environments, where feedback can be captured directly from users. It relies on an automated infrastructure that provides on-demand capacity and API-based integration.

CI is typically implemented as a pipeline where committed code runs through automated unit and integration tests.

CD allows code that passes CI tests to be deployed directly into production. It’s important to note that there’s a deliberate process break so decisions can be made about which version — and hence which features — will be deployed into production. This differs from continuous deployment, where code that passes tests is automatically deployed into production without human intervention.

Large enterprises, particularly those that are regulated, tend to prefer continuous delivery over continuous deployment because the act of deciding which versions to promote into production aligns well with segregation of duties, change management practices, and a general sense of being in control. Continuous deployment is more favoured by consumer internet companies seeking to optimize the speed of their feedback loop regarding new features.

DevOps needs continuous delivery

Continuous Integration | Continuous Delivery | What is DevOps | CI CD

CI pipelines can be built entirely by development teams. But this can lead to the phenomenon known as deploy to shelf, where engineers complete multiple sprints without their code ever being deployed into production, thus denying themselves of the user feedback that’s essential to proper agile development. If developers do two-week sprints, and operations does quarterly releases (13 weeks), then six or seven sprints will stack up before getting any user feedback.

By extending a CI pipeline into production, it becomes a CD pipeline and crosses the traditional divide between Dev and Ops, and the decisions about which versions get deployed to production happen at the border. The pipeline extension may rely on the same tools as CI, such as Jenkins, or on tools specifically built for CD, such as Spinnaker.

Continuous delivery needs automated infrastructure

How to Build a CD Pipeline – BMC Software | Blogs

CD pipelines use automation that spans dev-test-production, so they need an automated, cloud-enabled infrastructure. There are two important cloud characteristics that come into play:

  1. Capacity on demand – Integration tests are, by their very nature, transient. An environment is spun up to verify something works or fails, and then its work is done. Such activity naturally lends itself to parallelisation, where it’s possible to get quick feedback and queuing as needed, so the maximum number of tests can be run on a minimum-resource footprint.
  2. API-based consumption – APIs connect pipelines to infrastructure. Without them, there are more process breaks, slower flows through pipelines and an overall lack of automation. So-called ticket clouds, where a request for resources becomes a queued ticket requiring action by a human operator, quickly get overwhelmed by the throughput of even a relatively trivial CD pipeline.

Is CD worth the effort?

CD Interest Rate Calculator - How Much Is Your CD Worth

As organizations advance their DevOps initiatives and consider CD, they may ask whether it provides the necessary resources to ensure that the code being developed is ready to deploy. Does it slow development times because of the need to ensure code is deployable? And is the customer feedback on deployed software worth the effort?

We believe organizations need CD capabilities to be truly agile so, yes, CD is worth the effort. Digital business demands agility at three levels — how the business responds to customer needs, how software is built to meet those needs, and how infrastructure is made available to run that software. CD pipelines let modern organisations connect customer needs to their infrastructure, and that infrastructure must be automated to provide sufficient flow through the CD pipeline.

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