In pursuit of agility, company-trailblazers increasingly resort to the DevOps philosophy, and especially to AWS DevOps opportunities. However, a strong majority is afraid of the strange abbreviation that confronts them with sweeping changes. They try to wade through innumerable details on their own. They seek help from homegrown developers. At long last, not having achieved visible results, they give up and remain skeptical of the technology, never knowing they were on the right track.
This article is devoted to all those doubters to dispel myths about AWS DevOps and show how simply everything functions.
Wikipedia says that “DevOps is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops).”
The official Amazon page shows DevOps as “the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity.”
The first definition shows us how DevOps functions in general, and the second shows why. To fully understand what DevOps is, let’s imagine a world where developers and an operation team work together on one project and have a final product at the end of the week without quarreling, blaming, or finger-pointing. This is possible due to the DevOps philosophy that propagates joint responsibility in terms of a project. Thus, every participant in the process is responsible for the end result. However, to make all these general phrases about work management function, the DevOps model includes a tangible tooling within every DevOps practice.
“What’s happening with DevOps, and within companies that are starting to adopt DevOps methodology, is they are shortening the gap or reducing that distance between development and operation teams. So, operation teams are learning more about development and application architectures. And development teams are learning more about data center automation and other types of automation in terms of the actual deployments of applications or application deployment automation.”
– Clyde Logue on DevOps
According to the “DevOps Cookbook” and “The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win,” there are three main tenets of DevOps methodology.
1.The performance of the whole system is in focus, in contrast to the performance of a single unit or department.
2.The second way is to create a feedback loop going from right to left.
3. The third way is to create a culture that affects two things: constant experimentation, which requires taking risks, and drawing lessons from successes and failures.
The overall benefits of DevOps are:
-High product development speed
However, you can not avail yourself of all these advantages if you don’t have an appropriate team of DevOps specialists. At K&C, we have the appropriate service that will help you extend your team without investing a lot of money.
Business benefits of DevOps:
-Rapid go-to-market (e.g., shorter execution cycle time and faster deployment rates)
-Quality upgrading (e.g, increased availability, fewer failures, etc.)
-Increased organizational effectiveness (e.g., more time is spent on activities associated with increasing the value of the product)
To practice the DevOps model, we usually choose Amazon Web Services (AWS). AWS provides a set of services, where each is specifically designed for a particular process. Nowadays, there are more than one hundred services, so it’s really hard to keep track of all of them. However, we’ll try to demonstrate to you how the main services are interconnected and what purposes they serve to.
Cubes are the stages of development, and the rest are the AWS services that help us automate and optimize our processes.
At K&C, we have composed our own list of the most popular services among our clients. They are:
DNS route 53. On our end, this service is the most popular one because it’s a DNS with OpenAPI. What’s more, this allows controlling it through any available application as well as through AWS.
S3 (or Amazon Simple Service Storage) is an object repository, which is popular due to its distributed database. The point is that all data is stored multi-regionally. As all data is distributed between different regions (e.g. America, Europe, etc.), this is more secure.
ЕС2 (or Amazon Elastic Compute Cloud). This service enables you to resize computing right in the cloud.
RDS (or Amazon Relational Database Service). This is a relational database, which is popular because there is no need to invest.
Lambda. This is a serverless compute service used in serverless architecture. This service is quite popular because if you want to administer servers, the only thing you need to do is write your code and build it into a lambda function.
With the help of all these services, it is much easier to implement the customer’s project.
1.It’s too hard
Everyone who has heard about AWS but doesn’t use often assumes that AWS DevOps is extremely difficult. In fact, it has a very short learning curve. If a person is familiar with the organization of the network and infrastructure, then understanding how AWS works will take about a month.
2.Elaborated system management
When managing a big infrastructure, everything is also very easy as each element has its API and an appropriate service. That is, you can write your application, or you can just use the AWS utilities.
3.Clouds are a silver bullet
This is not true. There are many problems with clouds, and the main one is that not all services support security policy. There is no way to make it function on AWS as well as on server.
This is truly half-and-half. Some things that usually cost you $20 may go for $120 in AWS. On the positive side, you pay for what you use. If no one is working, or traffic falls on the weekend, then there is an opportunity to manage your resources by disabling half of the servers (or 80%), so as not to fall in performance. For example, at K&C, for one project, we shut down half of the servers during weekends, so that they were not reflected in the final price.
At K&C, we keep an eye on market trends and apply the most optimal solutions for our clients. For instance, today, the main trend is infrastructure as code. Here is how we implemented this solution in real life:
1.We gave the client’s DevOps developer the needed code.
2.The developer ran it and got an infrastructure, security, an orchestrator, and a docker. At this stage, we also used Cloud Formation and Terra Form.
3.Then, we applied Kubernetes and Kubernetes Operations (Kops).
4.After that, in our manifest file, we described what we wanted to see regarding servers, security groups, and VPS.
5.Then, we ran Kops through AWS VPI and created instances Kubernetes Cluster. As an option, Ancel can be added for servers configuration.
In fact, we wrote a couple of files, ran the code, and got a ready infrastructure.
Also, at K&C, we advocate the AWS serverless approach, which is very easy to implement and is appropriate when working on tough deadlines. However, not every developer can work with it, and it’s always better rely on those who have appropriate experience.
Here is how we can implement it:
1.We use IPEdit to receive requests.
2.Then it goes to the lambda according to the request.
3.It runs code, processes all the data, and puts it into the AWS Cognito database.
In this way, we created the working code and we do not need to think about how to back it up and what will happen if it breaks. Instead of us, AWS thinks about it.
At K&C, we are ready to bring your ideas to life with the help of the most sophisticated technologies. Let’s begin with AWS DevOps!