The** DevOps service providers **are up and around for more than a decade now and it was coined in the year 2019. Among the majority of the trending misconceptions, most of them are provoked by the pushy sales executives in the **DevOps consulting services. On one hand, the technology giants are happy to witness the growth of DevOps service providers, **while on the contrary, its various false perceptions and myths are also prevalent.
The inculcating cause
Apart from the vital services DevOps offer to the business platforms, it is surrounded by a plethora of various myths. There are various reasons which led to the floating of this misconception where inadequate information regarding the same is the major one. This resulted in the growth of various opinions under the impression of various people and its conclusions are drawn under every segment. Let us burst the bubble regarding the same in company DevOps solution and drive our own interpretation.
1. DevOps service providers- DevOps are incompatible with ITIL- Without further explanation, know that DevOps is compatible with ITSM or ITIL functional processes. The myth arose to support the lead times and deployment frequencies. Some of its parts have become fully automated. DevOps also require instant detection of the service incident, design, and various instances.
2. DevOps services only support open-source software- Execution of any DevOps project is entirely independent of the deployed technology because most of its success stories are aligned with LAMP stack software and open-source software like Docker, Chef, Nagios, Ansible, Nexus, Git, and many more. Some of the platforms are even using embedded systems and SAP solutions along with the mainframe assembly codes.
3. Company DevOps solution refers to the elimination of IT involvement- It is a prominent fact that is mostly discussed in IT involvement that no operations or NoOps is the underlying infrastructure. In the long run, it could not be the case that any automation will surface without the need for** DevOps solutions providers.**
4. For successful implementation, lean-agile is not required- Both Lean and Agile help to create a ground in terms of the shared medium of commitment, goal, a collaboration of** DevOps consulting services, **iteration, and many such instances. As it is considered for the elimination of wastage to achieve sustainable lead-time, both of them are extremely helpful for the short queues.
5. DevOps will replace agile- This is to be very clear that DevOps is not replacing Agile where, we can consider it as a logical proceeding of Agile or an enabler. The continuous integration and deployment can also be achieved through it and also, the platforms can realize potentially shippable code (PSI) through it.
6. DevOps services are only for start-ups- It is a popular myth that limits the utilities of DevOps only for small platforms or startups. These solutions are for everyone even if the platform is a “technological giant” or a small startup. The huge platforms relying on DevOps are Google, Amazon, Netflix, Etsy, Starbucks, HubSpot, and many more.
There are plenty of DevOps myths circulating the developers’ community. This is no surprise, considering how much excitement the DevOps concept has brought over the recent years.
The DevOps methodology can provide significant positive effects for organizations when implemented properly. It can lower costs, boost efficiency, and make the work of development teams more streamlined.
However, in order to grasp the strength of this process, it is necessary to recognize what DevOps represents. That’s why, in this article, we address some of the most popular DevOps myths.
One of the biggest misconceptions about DevOps is that it’s the same thing as CI/CD. The truth is that continuous integration and delivery are the key components of DevOps.
DevOps focuses on the culture and responsibility in a team. It emphasizes the need for everyone on the team to take part in each other’s tasks. This improves collaboration and communication in the team.
On the other hand, CI/CD enables this culture with software and tools that emphasize automation. You can see them as a means to an end.
NoOps describes the concept where the cloud infrastructure is so automated, that there is no need to manage it.
NoOps is considered as the next evolution of DevOps as a development model. Just like DevOps, its goal is to improve software delivery, but by allowing developers to focus on application development instead of infrastructure and maintenance.
By using machine learning and artificial intelligence, you can automate the setup, deployment, and monitoring processes, getting closer to NoOps.
#continuous-integration #devops #devops-tools #devops-infrastructure #devops-automation #mythbusting #myths #devops-myths
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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DevOps is a new catalyst that is rapidly spreading throughout the tech industry. Over the years it has gained much popularity and everyone has their own interpretation of it. It emerged a few after agile programming practices, and nowadays people are trying to figure out the relevance of enterprise DevOps. Before we move on to that, we first need to understand DevOps, its culture, and some other aspects.
There are many forms of divides in the tech industry. DevOps concepts solve this one in particular. Therefore, to understand and fully appreciate DevOps we first need to focus on this dispute. Within any software company, there has long been a divide between the development and operations teams.
Development teams are responsible for creating feature-rich, seamless integrations that have varying requirements with each new customer. They’re responsible for changing user requirements, maintenance, and continuous development activities. The takeover at the start of the SDLC development cycle.
On the other hand, Operation teams are primarily responsible for system stability and accessibility. They come in towards the end of the process where handover of a software release is given. Their responsibility is reviewing implementations by the development teams and ensuring the system is accessible and stable, and recommend changes if necessary.
To break the silos between Dev and Ops DevOps takes a few leaps, enabling better collaboration and performance.
The agile admin defines DevOps as,
DevOps is the practice of operations and development engineers participating together in the entire service lifecycle, from design through the development process to production support.
The term “Dev” is an umbrella term for not only developers, but any person included in the development of the product. So, this can include QA engineers, SR engineers, and other disciplines as well. Essentially, the “dev” team are the makers of the product.
Secondly, the term “Ops” covers all operations staff including systems engineers, system administrators, release engineers, network engineers, and all other relevant disciplines. The “Ops” team is responsible for the product after its development is complete.
In conclusion, operations engineers need to adopt the same methods adopted by developers and vice versa. DevOps extends Agile principles beyond just the development stage. Rather it extends it over the boundary of development and onto the entire process up till delivery.
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