In the experience of leading a DevOps team, some team members have the concern about being a DevOps engineer:
Concern #1: Is it better to be a developer because writing programs looks more competitive? However, we seem to be just doing the integration of various tools.
Concern #2: Only developers deliver the value to end user because they face the market requirements, but we not.
Concern #3: Is the DevOps team no longer needed after completing the tool chain?
Companies that incorporate DevOps practices get more done. It is as simple as that. The technical benefits include continuous delivery, easier management, easier to manage, and faster problem solving. In addition to this, there are cultural benefits like more productive teams, better employee engagement, and better development opportunities.
With these wide ranging benefits, it comes as no surprise that the future looks eminent for companies using DevOps practices. The market looks good too. According to Markets and Markets,
DevOps market size was at $2.9 Billion in 2017 and is expected to reach $10.31 Billion by 2023. The CAGR expected to be exhibited by the market is 7%.
This growth is due to the added business benefits of faster feature delivery, much more stable operating environments, improved collaboration, better communication, and more time to innovate rather than fix or maintain.
The DevOps ecosystem is riddled with industry leaders such as CA Technologies, Atlassian, Microsoft, XebiaLabs, CollabNet, Rachspace, Perforce, and Clarive among others. With the industry leaders adopting this culture, it is only a matter of time before DevOps becomes the standard practice of integrating development and operations to ensure a smoother workflow.
If you have decided to restructure your workflow using the more efficient DevOps architecture, you will need to hire the best DevOps engineers that the market has to offer. Here, we will discuss the various aspects that need to be evaluated in order to estimate the proficiency of the developer that you intend to hire.
According to “Enterprise DevOps Skills” Report, there are 7 skill spheres that are most important when it comes to DevOps engineers. The list includes automation skills, process skills, soft skills, functional knowledge, specific automation, business skills, and specific certifications. However, we have gone one step further to include 11 specific skill sets needed for a DevOps engineer. This is not an exhaustive list, this is an unavoidable list.
Configuration management DevOps tools like Chef, Ansible, and Puppet have based their architecture on the Linux master nodes. For infrastructure automation, having Linux experience is crucial.
10 CRUCIAL DEVOPS TOOLS
These tools come under the spheres of collaboration, issue tracking, cloud/IaaS/PaaS, CI/CD, package managers, source control, continuous testing, release orchestration, monitoring, and analytics.
Continuous integration and continuous delivery is the soul of DevOps. A better understanding of this principle helps the engineer to deliver high quality products at a faster pace.
In the DevOps community, Infrastructure as Code is the latest practice. Through abstraction to a high level programming language, this practice helps in managing infrastructures. It aids the applications of version control, tracking, and repository storing.
The traditional silos between business, development, and operations are eliminated by the integration of DevOps. The key concept is to create a cross-functional environment of better collaboration and a seamless workflow. The engineer must have grasped this idea completely and do away with time wasters like code transfer between teams and also be proficient in automating most of the tasks.
Since collaboration is key for DevOps to function in its entire glory, soft skills are as necessary as technical expertise. Soft skills include communication, listening, self control assertiveness, conflict resolution, empathy, positive attitude, and taking ownership.
The engineer must be able to put themselves in the shoes of the customer and take decisions that address the consumer demands.
Speed, automation, and quality is the core of DevOps. This is where the secure practice of DevSecOps comes takes form. With increased coding speed, vulnerabilities follow. The engineer must be equipped to write codes that are protected from various attacks and vulnerabilities.
The engineer must have immense knowledge about the ever evolving tech and have the capacity to work with the latest tools and stacks. They should also have the prowess to integrate, test, release, and deploy each project.
Active collaboration is needed to streamline the workflow pouring in from the cross functional environment consisting of developers, programmers, and business teams. There should be transparency and a clear cut communication between the engineers.
Every DevOps practitioner must root their philosophy in the Agile method. The 4 values and 12 principles of the Agile framework must be followed at all times.
Making sure that your new hire has these skill sets adds to the value of your DevOps integration. However, if you plan on hiring a dedicated DevOps team for your business, look no further because you have come to the right place.
Orion eSolutions takes immense pride in the quality of our DevOps engineers we nurture and we rightfully boast the standard of our outputs. If you are wondering if we sport all the skills mentioned above, we go much beyond that. Let us clear your doubts.
Through a robust use of resources and time, we ensure the highest output possible through DevOps which is:
208 times more frequent code deployments. 106 times faster lead time from commit to deploy 2604 times faster time to recover from incidents 7 times lower change failure rate
We offer cost effective solutions with guaranteed expertise and reliability. And our workflow is as seamless as the output we provide. We understand your requirements and agree on a workflow, team size, deliverables and deadline. Then we put together the most viable team for your project and start delivering. Collaborate with us today to enjoy the power of collaboration through the most efficient DevOps engineers.
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DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.
According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.
3 Core Principle to fit DevOps Strategy
If you consider implementing DevOps in concert with the Cloud, then the
below core principle will guide you to utilize the strategy.
Guide to Remold Business with DevOps and Cloud
Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.
#devops #devops-principles #azure-devops #devops-transformation #good-company #devops-tools #devops-top-story #devops-infrastructure
Once an industry term becomes popular, particularly in technology, it can be difficult to get an accurate definition. Everyone assumes that the basics are common knowledge and moves on. However, if your company has been discussing DevOps, or if you are interested in learning more about it, here are some basics you should know.
DevOps refers to the restructuring of the traditional software application cycle to support Agile development and continuous improvement/continuous delivery. Traditionally, the software was created in large-scale, monolithic bundles. New features and new releases were created in large packages and released in full-scale, infrequent, major deployments.
This structure is no longer effective in the modern business environment. Companies are under increasing pressure to be agile. They must respond rapidly to changes in the business environment to remain competitive. Software development needs to be completely changed as a process so that incremental improvements can be made frequently – ideally, several times per day.
However, changing a development lifecycle completely requires major changes – in people and culture, process, and enabling tooling – to be effective. DevOps was created by the breaking down of cycles between development and operations, combining two separate functions in application development. These changes intend to support agile, secure, continuous improvements, and frequent releases.
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DevOps is supposed to help streamline the process of taking code changes and getting them to production for users to enjoy. But what exactly does it mean for the process to be “streamlined”? One way to answer this is to start measuring metrics.
Metrics give us a way to make sure our quality stays the same over time because we have numbers and key identifiers to compare against. Without any metrics being measured, you don’t have a way to measure improvements or regressions. You just have to react to them as they come up.
When you know the indicators that show what condition your system is in, it lets you catch issues faster than if you don’t have a steady-state to compare to. This also helps when you get ready for system upgrades. You’ll be able to give more accurate estimates of the number of resources your systems use.
After you’ve recorded some key metrics for a while, you’ll start noticing places you could improve your application or ways you can reallocate resources to where they are needed more. Knowing the normal operating state of your system’s pipeline is crucial and it takes time to set up a monitoring tool.
The main thing is that you decide to watch some metrics to get an idea of what’s going on when you start the deploy process. In the beginning, it might seem hard to figure out what the best metrics for a pipeline are.
You can conduct chaos engineering experiments to test different conditions and learn more about which metrics are the most important to your system. You can look at things like, time from build to deploy, number of bugs that get caught in different phases of the pipeline, and build size.
Thinking about what you should measure can be one of the harder parts of the effectiveness of the metrics you choose. When you’re considering metrics, look at what the most important results of your pipeline are.
Do you need your app to get through the process as quickly as possible, regardless of errors? Can you figure out why that sporadic issue keeps stopping the deploy process? What’s blocking you from getting your changes to production with confidence?
That’s how you’re going to find those key metrics quickly. Running experiments and looking at common deploy problems will show you what’s important early on. This is one of the ways you can make sure that your metrics are relevant.
#devops #devops-principles #devops-tools #devops-challenges #devops-adoption-challenges #devops-adoption #continuous-deployment #continuous-integration
From conceptualization to deployment, the process of developing software applications or web applications is complex. By going through several intricate phases of development, a web application or software is tested on multiple levels before being proceeded into production.
In most cases, software application development becomes time-consuming due to its specifications and complexities. In order to deliver the application in a short span of time, software developers are following a universal set of practices called the DevOps lifecycle.
So, what is DevOps in the world of software application development? Let’s deep dive into its meaning, uses, as well as each critical phase in the DevOps lifecycle.
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