This can help teams to work more efficiently and effectively, enabling faster time-to-market and better-quality software. Industry Analyst, speaker, author Eveline Oehrlich is passionate about market research, competitive intelligence, strategy, and IT Automation. She is the Research Director at Research In Action and her focus areas include everything around IT Automation including people, processes, and technology. Previously, she held the position of VP and Research Director at Forrester Research.
With the ever-changing business landscape and the technology evolving faster than ever, DevOps has grown leaps and bounds to suit the varying business requirements. In this blog, we will be donning our charlatan hat and predict the emerging business trends for 2022 and beyond. ” boils down to a series of more specific trends that will enable the unification of development and IT operations. Here’s what those trends entail and why they’re set to dominate DevOps practices in 2023. SaaS will exponentially grow in 2023 because of the opportunity for scalability, availability, and maintainability with SaaS.
Artificial intelligence, deep learning, and machine learning have not changed much over the past two decades, but new hardware and software infrastructure made these disciplines much more accessible. All of my research is centered around finding actual real-life pain points of software developers, DevOps engineers, and business executives and helping to develop better solutions to these problems. Likewise, innovative solutions such as advanced machine learning technologies will enable no-code developers to innovate and create applications never seen before. This evolution may pave the way for a new breed of development tools, moving companies from no-code to no-brain AI quickly. With more and more businesses coming to terms with these benefits, IaC will continue to be a prominent feature in DevOps in 2022 and beyond. The cloud-native stack typically refers to a container-based system that supports the platforms to build apps with services that involve containers.
Cloud/DevOps predictions for 2023
Brian is a computer scientist and veteran entrepreneur with 30 years of experience ranging from academics to startups, from multimedia to computer… One must know that there is no one-size-fits-all approach to DevOps and that there are other factors influencing the expansion and growth of DevOps journeys. Adoption of DevOps within the organization is rising on a broader scale, and businesses are trending toward it.
- As DevOps adoption grows, the demand for people with the proper skills increases significantly.
- Previously an isolated team handled security at the final product development stage.
- GitOps relies on Continuous Delivery and Deployment to allow organizations to react more quickly to changes in their business landscape, market, or customer needs.
- The tighter budgets get, the more metrics companies will need to justify spend and headcount.
- One of the key benefits of cloud-native technologies is their ability to enable organizations to scale their applications in the cloud more easily.
Container management systems along with Kubernetes will also reduce human interaction and embraces a fully automatic workflow. Its pipeline architecture allows developers to leverage AI and ML tools to examine, predict, and automate workflows. For over 20+ years, he has been a passionate and innovative Cloud Services SAP Industry leader.
Rise of curated open source
Almost every enterprise has adopted an agile release framework, giving those familiar with DevOps plenty of opportunity…. Additionally, these organizations have modified their way of working by transforming their culture. We hope that all DevOps professionals and developers will have a curious and exciting year as they explore these trends and discover new developments in the field. However, as with any new trend, it’s important for organizations to approach chaos engineering with caution. Careful planning and risk assessment are key to ensuring that these experiments do not have unintended consequences or cause unnecessary damage to the system.
With The JAMstack, it’s possible for teams using different languages and frameworks to collaborate without any friction. JAMstack is becoming the new standard for web development in 2022 and beyond. As more companies adopt a cloud-based infrastructure, they’ll need to develop a strategy for managing their servers on-premises and in the cloud.
In the next years, 80% of developers will use some form of curated open source, having access to a set of the same open-source packages companies depend on in their products and services. Curated open source aims to improve software supply chain security by simplifying and actively vetting key open-source packages. The “curator” focuses not just on finding vulnerabilities but also on fixing them through automated testing. Profisea’s experienced Cloud finance managers will temporarily join your team to develop a well-architected FinOps strategy based on FinOps best practices. Plus, Profisea engineers developed a unique Cloud cost-reduction platform. Powered by artificial intelligence, our solution analyzes system utilization and provides unique recommendations and support to reduce Cloud costs by up to 75%.
Keeping an eye on Cloud/DevOps predictions
Keeping your pipelines, secrets, environments, and clusters safe and secure with the least privilege access, having role-based access, etc. The emergence of containers made DevOps principles easier for companies to adopt. As a result, we saw a complete revolution with the packaging and shipping of software. This enabled Dev and Ops to work together with genuine cooperation and get the software delivered smoothly to the end customer.
DevOps is one of the fastest-growing and revolutionary trends in technology. Every modern company uses the software and must quickly deliver new features and products and remember security and management to stay on the market. The DevOps principles and operations teams make software development flexible, error-free, and fast. Low-code tools and innovative platforms enable business users to create applications faster – and often cheaper too!
It is possible to create versions of your algorithms and determine how changes evolve and affect the environment. Engineers can deploy applications faster and better, decompose and observe them as event-based independent services. Distributed cloud networks are becoming extremely popular in recent years. They increase efficiency and responsive service applications provisioning while complying with local government regulations.
If the end goal is faster and higher-quality software deliveries, the internal and external customer experience must be considered, and the service desk manages that function. The integration of incident and change management https://globalcloudteam.com/ with leading agile development solutions will require a cultural shift. However, by streamlining work methods, teams boost service quality, reduce downtime, and resolve issues more quickly — all enabling innovation.
Gearing Up for the Future of DevOps
A distributed cloud environment hosts back-end services on cloud networks in different geographic locations, offering a single monitoring and managing dashboard to the entire infrastructure in a single cloud deployment. In addition, CISOs will increasingly leverage tools that create a full chain of custody for software releases and automate the discovery and visibility of security issues along the software supply chain. Tools that reduce friction during the software release process keep systems running properly and, more importantly, ensure end-users are happy.
Offering deep practical knowledge, a large professional network, respected certification programs, and insider events, DevOps Institute helps IT professionals embrace and shape the future of IT. Studies different cultures and looks at different behaviors and models within a culture. To sustain health, wellness, collaboration within and across teams and to achieve a specific vision, we must understand how to evolve and adopt our culture. Data scientists and IT professionals to collaborate and communicate effectively while automating machine learning models in the case of MLOps. In 2023 new names for collaborative operating models will continue to be developed and the challenge will be to understand which ones are critical to understand, learn and potentially apply. While DevOps might not be suitable for all applications and services, it certainly has proven to be more than just hype.
By taking advantage of next-generation AI and ML tools, Dev and Ops can work together even more efficiently because these tools address challenges that Dev and Ops both care about. The tools will help all stakeholders in DevOps to speak a common language and work toward common operations, security and compliance goals – steps that are essential for achieving the complete convergence of Dev and Ops. When multiple tools and teams are involved in DevOps, security needs to be baked in from the beginning. Cybersecurity is not just limited to firewalls and secured networks; instead, it is an ongoing effort that demands continuous attention to your SDLC and the whole infrastructure.
“More with less” and “work smarter, not harder” may sound like empty phrases, but some companies will make them real. When resources are tight, innovation is bred because companies are looking to maximize what they have and what they can do by leveraging the devops predictions technologies available to them. This will help to propel autonomous testing and create opportunities for vendors already operating in this space or yet to enter. The tighter budgets get, the more metrics companies will need to justify spend and headcount.
Value Metrics for Fact-Based Management
Cloud-native technologies are designed specifically for use in cloud computing environments. This includes everything from cloud-native applications and microservices to container orchestration platforms like Kubernetes. IaC enhances the DevOps culture by blurring the lines between Dev and Ops through increased collaboration.
The year 2023 has many challenges ahead, and there are plenty of predictions and opportunities to leverage. To understand what can be improved, a good practice is that of a retrospective – no matter if your team is Agile, deploys DevOps, or any other models. No matter at what level, looking retrospectively will give everyone a chance to share what was important to them in 2022, what they learned and what their ideas are for 2023.
When capital is abundant, there’s a natural tendency to address new challenges/requirements with more headcount. We expect a renewed focus on improving productivity while hiring remains frozen. High-performing teams will be pragmatic about identifying core competencies and outsourcing everything else. Investing in DevOps helps organizations better develop and release software.
Together, Kubernetes and Docker form a powerful combination that allows DevOps professionals to streamline the deployment and management of applications. One of the key benefits of cloud-native technologies is their ability to enable organizations to scale their applications in the cloud more easily. With traditional monolithic applications, scaling can be a complex and time-consuming process. But with cloud-native microservices, applications can be broken down into smaller, independently deployable components that can be scaled up or down as needed. The global pandemic accelerated work-from-home models out of necessity, and nearly two years later, organizations are realizing that remote and hybrid work models are actually good for business. This domain is currently immature, but I expect the industry will soon begin to shift in this direction to improve collaboration as remote work remains prominent.
The Future of DevOps: 2022 Predictions
This includes not just reducing cycle time and improving developer experience, but bringing security, observability, and compliance into their DevOps loop and making them “day zero” concerns. I think DevOps will get a massive re-boot with a renewed focus on the cloud-native and microservices as adoption increases. “Historically, automation in the context of DevOps meant automating software delivery processes, like Continuous Integration and Continuous Delivery of applications. The development methodology approach is becoming more critical to the continuous integration and continuous delivery process. Large and complex organizations are focusing on consolidation and standardization of DevOps processes so as to scale DevOps within the enterprise.
After the wide acceptance of DevOps culture, there was a need for IT automation The concept of Infrastructure as Code has made this possible with tools like Terraform, Ansible, CloudFormation, Pulumi, etc. The cost of fixing any error or a bug in production will cost your company more and impact the brand and morale of your developers. Hence, shifting security left as early as possible in your development pipeline and making everyone aware that security is everyone’s job is a must. With so many cyberattacks last year, companies have learned to take aggressive actions with their security setup.