In 2022, the top eight DevSecOps trends

The top eight DevSecOps trends in 2022

1. Increased adoption of Infrastructure as code (IaC)

Software intelligence as code, often known as IaC, codifies and governs IT infrastructure in software rather than hardware. As a result, developers and operations teams may manage, monitor, and provision IT resources using software code rather than manually configuring one device after another. Software-defined infrastructure, or software intelligence as code, is another term for infrastructure as code.

“By 2023, 60% of enterprises will employ infrastructure automation technologies as part of their DevOps toolchains, improving application deployment productivity by 25%,” according to a Gartner report.

DevSecOps approaches and adoption are accelerated by codified infrastructure. The foundation for DevSecOps is to enshrine infrastructure in code, which allows for automation and testing. It accomplishes this by establishing repeatable, software-driven procedures.

IaC helps teams by allowing the same deployment to be duplicated indefinitely by executing the code many times, freeing up time for DevSecOps teams to focus on other projects. The effort and time saved are increased depending on how many times the infrastructure needs to be reproduced.

Another advantage of IaC that can hasten DevSecOps adoption is reducing human error. A crucial component of DevSecOps is encoding processes in code, ensuring that they are carried out correctly despite the numerous difficulties that arise during software delivery. DeSecOps teams can use IaC to codify these procedures, ensuring repeatable, secure, automated, and efficient.

​​

2. Mounting attacks via vulnerable third-party code

Organizations may become vulnerable to cyberattacks due to third-party code or code libraries incorporated into their proprietary software. Cyberattacks have become more common. In December 2021, Log4Shell, for example, emphasized the importance of businesses monitoring code in development and production and the principles of their partners and customers.

Log4Shell allows an attacker to engage with software that uses the Java logging library Log4j versions 2.0 and 2.14.1 via remote code execution. In December 2021, some companies were required to take equipment and programs offline to prevent hostile attackers from gaining access to networks and critical data and needed many DevSecOps teams to identify the presence of Log4J throughout the development cycle.

In the article, Nicolas Fränkel noted, “Wise developers don’t recreate the wheel: they use existing libraries and frameworks.” You’re executing untrustworthy code! “It indicates that users of such third-party code should properly evaluate it from a security standpoint.” We should be on the lookout for defects, including bugs and vulnerabilities.”

The next significant security flaw may have similar characteristics to Log4Shell. As a result, businesses should use observability platforms to examine their IT environments and detect potentially dangerous code.

3. AIOps for root-cause analysis becomes critical

With the increasing complexity of cloud systems, manual processes will no longer be able to keep up. It’s becoming increasingly vital for DevSecOps trends teams to recruit automation to record observability data and utilize AIOps to recover control (AIOps applies AI to IT operations).

Teams can discover the information developers need to accelerate innovation by evaluating activity data in real-time.
AIOps is “going from marketing hype to a functional technology being utilized across the workplace,” according to Forbes.

Also, AI algorithms are becoming more complex, and the pace at which AI can identify new data links is improving, resulting in broader corporate adoption. DevSecOps teams now need to detect the root cause of IT issues in real-time and, in certain situations, provide automated remediation.

As teams integrate security verification to test code in development and continue to identify new security vulnerabilities in production, this real-time analysis is critical.

4. Weighing ML-based observability vs. AIOps

Not all artificial intelligence software is made equal. Another trend is to compare machine learning (ML)-based observability approaches to AIOps-enabled capabilities.

Must train data to comprehend normal behavior and what is abnormal when using ML-based techniques. Teams must verify the data modeling, which takes time and effort away from DevSecOps trends teams working on strategic projects.

AIOps, on the other hand, is a software operations method that blends AI algorithms with data analytics to automate essential processes and recommend precise solutions to typical IT issues like unplanned downtime or illegal data access. Unlike ML-based techniques, AIOps does not necessitate data training. Algorithms use AIOps to observe events in context. This accuracy and autonomy relieve IT teams of two duties: routine monitoring and administration chores are offloaded, allowing them to focus on more mission-critical matters.

Furthermore, while ML-based approaches identify correlations between an issue and potential solutions, AIOps gives specific responses to precisely recognized problems.

5. GitOps becomes the new normal

GitOps is a collection of techniques for managing infrastructure and application configurations using Git, an open-source version control system. As a result, Git has become the single source of truth and command and control tool for dynamically developing, modifying, and destroying system architecture. GitOps enhances the principles of Infrastructure as Code by enabling automation.

Pull GitOps use requests to evaluate and deploy system infrastructure changes. Also, teams can gain more control by centralizing as many of these setups as possible in one location.

As more businesses adopt continuous integration and delivery (CI/CD), they will have more possibilities to use GitOps. This method allows teams to automate their testing, delivery, deployment, and governance processes. Infrastructure duties and workflows are also streamlined using GitOps.

6. Kubernetes infrastructure evolves

Kubernetes is at the center of these DevSecOps and digital transformation themes. It is free, open-source container management, deployment, and scaling platform.

With this set of components, an application can rapidly and reliably migrate from one computer environment to another, such as testing. Kubernetes allows businesses to be more productive while developing apps.

Multiple teams can work on different aspects of a project simultaneously using Kubernetes containers. Teams can better manage resources, fix errors faster, and shorten work cycles with containers.

Kubernetes has revolutionized the way businesses build applications. It also allows developers to respond quickly to changing client needs while utilizing shared resources across several cloud platforms. Kubernetes adoption can significantly increase efficiency and make creating, testing, and deploying DevSecOps pipelines easier.

7. Serverless architecture expands

Serverless computing is a cloud-based application development and hosting technique that allows enterprises to consume resources only when required. Cloud infrastructure appeals to teams who want to design, run, and scale programs without worrying about the underlying infrastructure. A cloud provider administers the infrastructure and provides tools for building modular applications in a serverless approach.

Delegating infrastructure administration to a cloud provider allows businesses to scale up and down. Going serverless can also be less expensive than maintaining on-premises infrastructure. Organizations only pay for the resources that they use. Cloud providers host the infrastructure. Serverless computing enhances disaster recovery and IT system resilience.

8. Microservices gain ground over monolithic app development

Microservices and serverless computing go in hand. Teams can divide into discrete components, allowing flexibility, rather than constructing monolithic programs, which are time-consuming and costly to design and test. As a result, teams can break free from the constraints of traditional app development.

Organizations can benefit from more flexible, gradual development to suit the demands of business units. They split services into modular components. Microservices allow developers to work on the subject in isolation when issues arise. They are not causing the entire application to disrupt. DevSecOps teams can stay agile and adaptable while simultaneously paying attention to code quality and security. They are using this modular application development.

About Enteros

IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.