2021 has come to an end, and the world is still shrouded in the shadow of the epidemic this year, which is not a good thing. However, the outbreak of information technology inspired by the epidemic is a good thing.
In the past decade, we have witnessed the rapid development of digital transformation and the birth of the concept of DevOps; in the past year, DevOps has experienced unprecedented rapid growth.
Next, this article introduces you to what DevOps has experienced in the past year. As the authorities in the torrent of the times, how should we respond?
01 DevOps Development We Witnessed in 2021
1. DevOps becomes the core of any digital business transformation
Organizations of all sizes are having to adapt their business models due to significant changes in buyer behavior and ongoing supply chain crises. DevOps teams are at the heart of all major digital business transformation initiatives, so demand for DevOps expertise is skyrocketing, showing a serious trend of undersupply.
It is predicted that we will see more digital transformation in the next 10 years than in the past 40 years. Without developers and engineers working together, and without the ability to build and deploy faster, some enterprise visions will be difficult to achieve.
2. Is low code worth relying on?
The pandemic has caused a surge in demand to drive digital workflows. The advent of low-code may reduce the time it takes professional developers to build applications, which is a good thing.
However, it is worth noting that low-code is still incompetent for the construction of complex frameworks, and process code construction is still irreplaceable. From this dimension, low-code can speed up the deployment of developers at a relatively low level, but cannot replace more advanced feature building.
Perhaps the next generation of low-code will soon be developed by non-professional individuals, and will the influx of code engulf the DevOps pipeline? It remains to be seen.
3. The advantages of microservices are highlighted
Architecture for Building Applications The core concept of building frameworks with loosely coupled services dates back to the 1990s. The next era will be the world of Service Oriented Framework (SOA).
Of course, microservices themselves have been around for several years. However, with the rise of containers as a software artifact for building microservices, the advantages of microservices are highlighted: not only do microservices take less time to build, they are also easier to maintain and more resilient.
4. Observability is a major advancement in DevOps
The concept of observability can be traced back to linear dynamic systems. In its most basic form, observability is the degree to which the internal state of the system can be inferred by measuring information outputted externally.
In 2021, numerous IT vendors have launched various types of observability platforms. These observable platforms make it easier for DevOps teams to query machine data to proactively discover the root cause of problems before they cause further disruption.
This is certainly a significant improvement compared to monitoring platforms that typically only provide predefined metrics to identify a specific platform.
5. AI will change DevOps for the better
Managing a DevOps environment involves a high level of complexity. Especially now with the explosion of data, the rapid proliferation of data makes it difficult for DevOps teams to efficiently onboard, ingest, and unlock data, and even harder to make good business decisions based on the information.
AI can accelerate the pace of software releases and help businesses achieve continuous delivery. This enables programmers to release software about 10 times faster and allows programs to be reviewed before they are released.
As a result, the future of DevOps will be driven by artificial intelligence in terms of challenging large volumes of highly complex data. When it comes to integrating and analyzing data, AI-driven solutions will be the first choice.
Gartner states that by 2023, 40% of DevOps teams will leverage application and infrastructure monitoring solutions with built-in AI capabilities. Gartner predicts that the AIOps market will grow at an astonishing rate of between $300 million and $500 million per year.
02 4 key takeaways from DevOps practice in 2022
1. The evaluation process is always the first step.
DevOps is actually not a very well understood concept. If we don't have a good understanding of what DevOps is and what it means for an organization, it can be a disaster.
Not only that, but everyone on the team needs to synchronize their own understanding of DevOps, and DevOps practice can only go smoothly if the team communicates and “agrees” with it. That's why it's hard and important for all companies to switch to DevOps - culture building and learning.
In addition, the evaluation of the development cycle should also be comprehensive, from start to finish. Different processes of development have different bottlenecks. Only by finding the areas where the current process is insufficient can we lock the focus when implementing DevOps.
2. Collaboration and goals are preparatory actions for DevOps teams.
Before implementing DevOps, it should be determined if the team is ready to work and communicate together. Instill a strong sense of collaboration in each member and provide them with the tools to help them communicate and collaborate.
Furthermore, clear goals set the direction for DevOps practices, otherwise any DevOps practice would be meaningless. Often, we can start with a smaller, more achievable goal, and then move on to a larger, more complex goal to prevent irreparable damage from changing too much at once.
3. Automation is an important part of DevOps.
In the DevOps process, we should use automation as much as possible. Whether it's scanning for misconfigured code or automating tests, there are now a variety of different automation tools to achieve this, which is undoubtedly a huge improvement in efficiency.
On this basis, if you want to further automate, the project has to consider whether the team can keep up. So, the best way is to start with the time-consuming and manual work and automate it step by step. In the beginning of automation, it’s also best to let the team monitor for a few weeks to see how things are going.
4. Understanding key metrics is a top priority.
Key metrics should be set from the very beginning of DevOps implementation. Without metrics, we would not be able to track progress and detect problems in a timely manner.
The key DevOps metrics that most organizations need to focus on involve these 3 points: delivery time, deployment time, and mean time to recovery. And these three indicators can be well reflected on the SoFlu automatic software engineering platform.
The application service released by Feishuan SoFlu automatic development platform project has integrated operation and maintenance performance index data such as health check, audit, statistics and HTTP tracking in monitoring operation and maintenance indicators. All these features can be obtained through JMX or HTTP endpoints.
At the same time, it can also be integrated with external application monitoring systems, and can easily monitor and alarm through third-party systems, such as Prometheus, Influxdb, Grafana, etc. These systems provide great dashboards, icons, analytics, and alerts, allowing users to easily monitor and manage applications through a unified interface.
Taking the Prometheus+Grafana environment as an example, the fully automatic development platform project can display program IO, memory, JVM and other performance indicators in a beautiful and beautiful interface: (as shown in the figure below)
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