Top 10 Trends of DevOps in 2023


As we move into the 21st century, the field of information technology is constantly evolving. To keep up with the latest trends, organizations are turning to DevOps to help them streamline their software development process. Here are the top 10 trends of DevOps in 2023.

Here are the Top 10 DevOps Trends to Look Up in 2023

  1. Serverless Computing 
  1. DevSecOps
  1. GitOps 
  1. Infrastructure as a Code (IaC) 
  1. Multi-Cloud Environment   
  1. Microservices Architecture   
  1. Containerization 
  1. Kubernetes 
  1. Site Reliability Engineering (SRE)   
  1. DataOps 

1. Serverless Computing  

The Serverless computing is a type of cloud computing that enables applications to run without needing a dedicated server. Serverless computing is also known as Functions-as-a-Service (FaaS).  

A serverless computing platform allows you to run code without provisioning or managing servers. You can build and run applications and services without thinking about servers. In fact, your application can scale automatically to meet demand without you having to do anything. And you only pay for the resources your code uses, so you can save money.  

The benefits of serverless computing include the following:  

 – Reduced costs: With serverless computing, you only pay for the time your applications are active. This can lead to significant cost savings, particularly for applications that are only used occasionally or sporadically.  

 – Increased flexibility: Serverless computing enables you to scale your applications up or down as needed without requiring manual effort.  

 – Enhanced scalability: Serverless computing can also help you to handle sudden spikes in traffic more easily.  

– Increased agility: Serverless computing can help you quickly deploy new features and applications without the need to provision or manage servers.  

 For a cost-effective, flexible, and reliable way to run your application, serverless computing is a great option.  

For example, AWS provides serverless computing through AWS Lambda. AWS Lambda is serverless, event-driven compute service that lets you run code for any application or backend service without provisioning or managing servers.  

You can trigger AWS Lambda for the following services:  

  1. File processing (Amazon S3)  
  1. Stream processing (Amazon Kinesis)  
  1. Web applications (Amazon API Gateway)  
  1. IoT backends (Amazon Kinesis)  
  1. Mobile backends (Amazon API Gateway)  

The DevOps process has greatly benefited from the serverless computing approach because you don’t have to take care of the servers, as everything is provided to you within the cloud infrastructure. For example, Autodesk, a company specializing in designing software for Architecture, Engineering, has successfully streamlined faster development and facilitated quicker deployment by expanding its AWS footprints. 

2. DevSecOps  


The DevSecOps is a security-focused software development and operations approach that emphasizes collaboration between development, security, and operations teams.  

DevSecOps aims to improve the security of software applications by integrating security into the software development and operations process.  

The DevSecOps is important because it helps to ensure that security is considered throughout the software development process, from design to deployment.  

Integrating security into the software development process can help to identify and fix security vulnerabilities before they are exploited.  

There are a number of ways to implement DevSecOps, but some common approaches include integrating security into the software development lifecycle, automating security testing, and using DevOps tools and practices to improve security.  

For example, Pokémon Go implements DevSecOps to protect children’s privacy.  

Pokémon Go was a success; however, it created liability difficulties. The majority of its 800 million downloads came from children. And according to GDPR, they were require to protect the privacy of every youngster. The surprise was that Pokémon Go collaborated with Google spin-off Niantic to build Pokémon Go and shared responsibilities regarding security and development compliance. So, Child Care Security Compliance and a certain portion of the backend were the responsibility of Pokémon Go, while Niantic can see who runs the application.   

With so much shared responsibility, and third-party data, inculcating a security culture and collaboration was paramount. That’s where the company implemented DevSecOps and implemented automated security checks that monitor the application privacy from the beginning. With the help of this cultural shift, Pokemon Go protected children’s privacy.  

The Benefits of DevSecOps include the following:  

1. Improved security: By integrating security into the software development process, you can identify and fix security vulnerabilities early on before they have a chance to cause damage.  

2. Increased efficiency: The DevSecOps can help to streamline the software development process, making it more efficient and effective.  

3. Improved collaboration: DevSecOps requires close collaboration between developers, security experts, and operations teams. This collaboration can lead to a better understanding of each other’s roles and responsibilities and help to identify and solve problems more quickly.  

DevSecOps is a new and innovative approach to software development that offers many benefits. If you’re looking to improve security, efficiency, and collaboration in your software development process, DevSecOps is the way to go.  

3. GitOps  


GitOps is a way to do continuous delivery using any infrastructure that can be observe and described declaratively and has Infrastructure as Code tools available. However, currently, most operators for pull-based GitOps are implemented with Kubernetes. It works by using git pull requests to manage deployments. This means you can use your existing git workflow to manage deployments to Kubernetes.  

GitOps works by using a git repository to store your deployment configuration. This repository is then use to deploy your applications to Kubernetes.   

The git repository is the source of truth for your deployments. This means that you can use your existing git workflow to manage deployments. For example, you can use git branching and pull requests to manage deployments. When you change your deployment configuration, a git pull request is created. This pull request is then reviewed and approved by someone on your team. Once it is approved, the changes are automatically deployed to Kubernetes.  

For example, Mettle finance firm increased production speed by 75% and deployment by 25% by adopting GitOps. 

The Benefits of GitOps include the following:

1. Automation – GitOps enables you to automate your deployments. This means that you can push code changes and have them automatically deployed to your servers.  

2. Reproducibility – GitOps also makes it easy to reproduce deployments. This is because all the code changes are stored in git, so you can easily roll back to a previous version if something goes wrong.  

3. Declarative – Another benefit of GitOps is that it is declarative. This means that you can specify the desired state of your infrastructure in code, and GitOps will ensure that it is always in that state.  

4. Faster Deployments – GitOps can also lead to faster deployments. This is because you can push code changes directly to your production servers without going through a lengthy approval process.  

5. Easier Collaboration – GitOps also makes it easier to collaborate with others on deployments. This is because all the code changes are store in git, so everyone can see what changes are being made.  

Overall, GitOps provides a number of benefits that can help to improve your deployment process. If you are looking for a new way to manage your infrastructure, GitOps is worth considering.  

4. Infrastructure as a Code (IaC) 

Infrastructure as a code is the process of managing and provisioning infrastructure using code and automation tools. This helps to speed up the provisioning process, ensure consistency and prevent errors.  

Infrastructure as a code can be use to provision and manage any type of infrastructure, including public clouds, private clouds, and on-premises infrastructure. IaC tools allow you to define your infrastructure in code, which makes it easy to manage and automate your infrastructure deployments.  

For example, Asian Development Bank (ADB) reduced VM provisioning time and improved security by adopting IaC. 

The benefits of Infrastructure as Code include:  

1. Infrastructure as Code can be use to manage infrastructure in a more declarative and repeatable way. This means that infrastructure changes can be made more easily and quickly and are more likely to be consistent across different environments.   

2. Infrastructure as Code can help to automate the management of infrastructure. This can save time and money and reduce the need for manual intervention.   

3. Infrastructure as Code can improve the transparency of infrastructure management. By keeping all infrastructure configurations in a central place, it is easier to track changes and understand how the infrastructure is configured.   

By making infrastructure management more declarative, repeatable, and transparent, infrastructure as code can help to save time and money and improve the reliability of infrastructure.  

5. Multi-Cloud Environment  

In the future, you’ll likely have to use a multi-cloud environment. As more companies start using cloud computing and big data analysis, they’ll need to be able to access their data in multiple locations across different clouds. This means that you’ll need to be able to move seamlessly between them and make changes as needed without having any downtime or loss of productivity.  

Multi-cloud environments also give developers access to more features than they could get from just one platform alone; this includes things like better performance or faster response times when dealing with high loads on servers or applications running on them (like live video streaming).  

For example, PNC bank automated its software supply chain compliance by adopting cloud-native infrastructure  

The benefits of a Multi-Cloud Environment include the following:  

1. Increase reliability and uptime  

By using multiple cloud providers, you can increase the reliability and uptime of your applications and services. If one provider goes down, your applications can still run on the other providers.  

2. Reduce costs  

By using multiple cloud providers, you can take advantage of the different pricing models offered by each provider. You can also use one provider for certain resources and another provider for other resources, which can help you optimize your costs.  

3. Increase flexibility  

By using multiple cloud providers, you can increase the flexibility of your applications and services. You can choose which providers to use based on the features and services they offer.  

4. Improve security  

By using multiple cloud providers, you can improve the security of your applications and services. By spreading your applications and data across multiple providers, you can minimize the risk of data loss and theft.

6. Microservices Architecture  

Microservices Architecture is a software development method in which an application is structured as a collection of loosely coupled services. A microservice is a small, self-contained functionality that can be independently developed, tested, and deployed.  

The idea behind microservices architecture is to break up large monolithic applications into small pieces so developers can build and release new features more quickly without affecting other system parts. This allows for greater agility in moving from one stage of development to another and scaling up or down when needed according to changing business needs or market conditions.  

For example, Coca-Cola reduced network congestion and scaling time by adopting microservices.  


The benefits of Microservices Architecture include:  

1. Increased flexibility and agility: Services can be developed and deployed independently, allowing for more rapid innovation.  

2. Improved fault isolation: Smaller services are easier to isolate and debug in the event of a failure.  

3. Reduced coupling: Services can be loosely coupled, making the system more resilient to change.  

4. increased scalability: Services can be scaled independently according to demand.  

5. improved maintainability: Services can be maintained and updated independently without affecting the rest of the system.  

6. Enhanced security: Services can be isolated from each other, making it easier to secure the system as a whole.

Microservices architecture is becoming increasingly popular as organizations look for ways to improve their software development processes. If you’re considering using microservices in your own project, be sure to weigh the pros and cons carefully to decide if it’s the right approach for you.  

7. Containerization  

There is no doubt that containerization is one of the hottest trends in the DevOps world. In fact, industry experts predict that by 2023, more than 80% of all workloads will be running in containers. 

That means there’s a good chance your organization will be looking to adopt or expand its use of containers in the next few years.  

But what will the state of containerization be in 2023? Here are a few predictions:  

1. More organizations will use containers in production  

Right now, containers are mostly use in the development and test environments. But as they become more stable and mature, more and more organizations will start using them in production.  

2. More companies will use multiple container orchestration tools  

There are a few different container orchestration tools on the market, such as Kubernetes, Docker Swarm, Google Kubernetes Engine (GKE), etc., and each has its own strengths and weaknesses. In 2023, we predict that more companies will start using multiple orchestration tools to get the best of all worlds. 

3. Hybrid and multi-cloud will become the norm  

Containers are portable and can run on any type of infrastructure. That means they’re perfect for hybrid and multi-cloud deployments. We predict that more companies will move to hybrid and multi-cloud architectures in the next few years.  

4. Serverless will become more popular  

Serverless architectures are well-suited for containers. They can scale up and down quickly and easily without needing dedicated servers. We predict that more companies will start using serverless architectures with containers.   

8. Kubernetes   

Kubernetes is an open-source container orchestration system that has seen massive adoption in recent years. In fact, a 2019 survey found that Kubernetes was the most popular container orchestration tool among respondents.  

There are several reasons for Kubernetes’ popularity. First, it is very versatile and can be used for a variety of purposes, from deployments to scaling. Second, it is very reliable and has a number of features that make it easier to use.  

So, what trends can we expect to see in the Kubernetes world in 2023?  

1. One trend that we expect to see is an increase in the use of Kubernetes for serverless applications. Serverless applications are those that don’t require a server to run, and they are becoming increasingly popular due to their scalability and cost-efficiency.  

Kubernetes is a great platform for serverless applications because it can scale them up or down as needed. This means that you only pay for the resources you use, which can save you a lot of money.  

2. Another trend we expect to see is an increase in the use of Kubernetes for IoT applications. IoT applications are those that connect devices to the internet and allow them to communicate with each other.  

Kubernetes is a great platform for IoT applications because it can manage a large number of devices and connect them to the internet. This is important because IoT applications are expected to grow exponentially.  

9. Site Reliability Engineering (SRE)   

Site Reliability Engineering (SRE) is a relatively new approach to DevOps, and it’s gaining traction rapidly. A key reason for this is that SRE places a strong emphasis on ensuring that site uptime and performance meet or exceed customer expectations.   

Here are three SRE trends to watch out for in 2023:  

1. Increased focus on self-service deployments  

As organizations move to a more DevOps-centric approach, SRE teams must provide more self-service deployment options. This will allow developers to deploy their own code without waiting for SRE approval.  

2. Improved monitoring and logging  

As SRE teams become more responsible for production deployments, they’ll need to improve their monitoring and logging capabilities. This will help them identify and fix issues more quickly.  

3. Greater use of automation  

To keep up with the increased pace of deployments, SRE teams will need to automate more of their work. This will include tasks like provisioning, deployments, and monitoring.  

For example, PayPal improves its customer satisfaction ratio by adopting SRE practices.   

According to Deloitte, SRE is about reliability in terms of client satisfaction, and PayPal followed that idea. PayPal established an SRE team to improve the customer experience. After nine months of consulting and architectural adjustments, the SRE team assisted PayPal in reducing its MTTR by 90% for the most critical activities, increasing the customer satisfaction ratio. Furthermore, PayPal saved $20 million in that calendar year.  

10. DataOps  

As we move into the new year, it’s time to start thinking about the trends shaping DevOps in 2023. One of the biggest trends we see is the continued rise of DataOps.  

DataOps is a set of practices designed to help organizations better manage their data. It helps organizations to automate and optimize their data management processes. In doing so, DataOps can help organizations improve their agility, speed, and quality.  

There are many reasons why DataOps is gaining popularity.  

1) First, data is becoming more complex. We’re now dealing with structured data, unstructured data, streaming data, and more. This complexity makes it difficult to manage data using traditional methods.  

2) Second, data is becoming more critical to business operations. In the past, data was often seen as a secondary concern. However, as data analytics has become more important, businesses realize that they need to have high-quality data to make better decisions.  

For example, Gogo improved service quality and decreased operational costs by adopting DataOps.  

Gogo is a leading in-flight connectivity and entertainment provider in 15+ airlines. The connectivity equipment is installed on more than 2900 commercial flights. Initially, there is no centralized repository for this data collection. Analyzing data and discovering insights was extremely difficult. As a result, Gogo collaborated with N-iX to create a unified DataOps platform. It helped Gogo in analyzing performance trends that improved service quality. It also reduces operational costs and enhances the quality of connectivity.   


In this DevOps blog, we’ve covered some of the key trends in DevOps, and the above trends will help organizations move rapidly beyond automation, focusing on improving outcomes. These DevOps trends are catalysts for creating a regular and dependable release pipeline and building better communication between IT, development, and business teams. 

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