Allowing developers to share their dependencies and software with IT operations, Kubernetes help streamline building, testing, and deploying pipelines in DevOps Managed Services. Artificial Intelligence and Machine Learning driven DevOps approach enables organizations compute and analyze data of any size and scale. Moreover, it also boosts their workflow transforming the way teams develop, deliver, deploy, and manage applications efficiently.

devops predictions

DevOps doesn’t only transform software delivery, but also integrating security. While DevOps continues to be the best solution for organizations to save time and money, increase quality, and reduce time to market, it does require upgrading and integrating modern tools and techniques for changing market needs. Predict 2022 is a free virtual event featuring a conference lobby, presentation theater, expo hall and more. This event is a great opportunity for networking and learning about the trends, technologies and looming topics that could have the most impact on technology in this new year. One of the results of embracing DevOps principles is Continuous Delivery and Deployment, which helps DevOps engineers & SREs significantly reduce release times and get their products and services to market faster. Higher-end FaaS features such as Workflows will make it easy to build more complex serverless applications in a modular and more composable manner.

The 11 Most Important Devops Predictions For 2022

Restrained only by the laws of physics, quantum computing will potentially extend Moore’s Law into the next decade. As devops predictions 2022 the commercialized version of quantum computing comes within our range, breakthroughs will occur at a speedy rate.

Helen Beal is a DevOps and Ways of Working coach, Chief Ambassador at DevOps Institute and an ambassador for the Continuous Delivery Foundation. She is the Chair of the Value Stream Management Consortium and provides strategic advisory services. She hosts the Day-to-Day DevOps webinar series for BrightTalk, speaks regularly on DevOps topics and is a DevOps editor for InfoQ. She regularly appears in TechBeacon’s DevOps Top100 lists and was recognized as the Top DevOps Evangelist 2020 in the DevOps Dozen awards. Micro Focus announced the release of Hybrid Cloud Management X software-as-a-service .

How To Improve Devops Speed For Shorter Lead Times And Increased Deployment Frequency

It is especially hard to hire for smaller companies that have to compete against larger companies with deeper pockets. The demand for technology workers is going to continue to increase — pretty much every field is going to need developers and others with technical knowledge. It will be an obstacle for a lot of CTOs to figure out how to staff their team to deliver products. In the next few years, CTOs will also be focused on how to retrain their existing staff to meet technology needs. For instance, they might have DevOps engineers that don’t know how to program.

Solutions like XDR (Extended Detection & Response), SOAR and multifaceted security infrastructures are highly awaited this year. We see teams losing almost half of their overall productivity because they are manually creating and managing their own engineering environments. Engineering environment management includes the installation, configuration and management of the entire tool stack. These tools plan, code, build, test, package, promote, and report on products and infrastructure. 2018 is the year where teams will start to automate the creation and management of these tool stacks. Leaders must understand these issues as Engineering Environment Automation will require senior leadership.

They’ll leverage that visibility to make the most of their data collection and automation capabilities. Data on threats was always available previously, just that the proactive prevention methods weren’t workable earlier. However, this will change in 2022 due to the implementation of cybersecurity threats all over the world. More businesses are increasingly adopting analytical techniques like machine learning to deal with cybercrimes and threats to prevent from further damage. Digital landscapes already seem to be benefitting from video as a source of marketing, workforce training, client retention programs and more. Per Cisco, more than 80% of content on Internet will comprise of some video or the other.

devops predictions

In addition, IaC boosts the DevOps culture of blurring the lines between Dev and Ops with increased collaboration. This year, we will see a rise in the adoption of IaC and this particular approach becoming a DevOps standard by teams that embrace DevOps. A DevOps culture enables developers to get closer to the user by gaining a better understanding of user requirements and needs. As a result, DevOps aims to make agile software delivery more efficient, shorten lead times and deliver high-quality features without sacrificing quality and reliability. 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. This trend will only continue as automation tools get even better at simplifying the entire software development process. AI is already used to automate tasks like security scans, bug fixes, and quality assurance testing, but it’s expected that AI will continue to evolve to automate more complicated tasks.

Currently, the industry is divided into 3 types of personas that are involved in the testing processes. In 2019, the main impact will be on the software developers and the business testers. These personas will aim to enhance their overall test productivity by shrinking to the minimum possible time it takes to author and execute their tests. To accomplish that, these teams will embrace smart testing tools that are powered by machine-learning and artificial intelligence capabilities. Among the features these personas will benefit from will be codeless test authoring, smart test data analysis, self-healing of test code while the app is dynamically changing, and more. While DevSecOps and Shift Left will continue to grow and AIOps, as we discussed above, will make its way to mainstream market, 2022 will also see DevOps democratizing and demystifying software development. The Low Code practices will be encouraged for rapid innovations with shorter test cycles and quicker deployments through the CI/CD pipelines.

Data Ops Aligns With Devops

In 2022, organizations will need to provide more supportive resources, like testing environments, for in-role learning that enables developers to train in a safe and protected environment. The JAMstack flips the traditional approach on its head by combining static site generators, JavaScript, and CSS into one package. These tools give you the flexibility and scalability for modern web projects. JAMstack’s goal is to provide developers with an all-inclusive platform with no restrictions on how you can code your application. 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. 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.

Leveraging Predictive Analytics in DevOps and AIOps enables organizations to build strong focus on continuous improvement in the DevOps services. It provides the Infrastructure and Operations teams with a deeper insight into the resources and services being used and also how they could likely be used in the future for the best outcome. Companies are benefiting from Containers and Clusters today, primarily for simplifying the deployment of products across environments. While containers provide software a reliable Scaling monorepo maintenance and predictable way to deploy to a node, clusters bind multiple nodes together and allow the creation and management of logical infrastructure. In DevOps 2.0, container and clustering technologies will be used to build enterprise ready and fully configured DevOps infrastructure. Some crucial benefits of IaC comprise easier cloud-native adoption, increasingly ephemeral architecture, traceability, constancy in deploying similar configurations, and higher efficiency during the full software development cycle.

Natural Language Querying For Data Visualisation

More than 2,100 enterprises around the world rely on Sumo Logic to build, run, and secure their modern applications and cloud infrastructures. Just like hyper-automation and intelligence, dependencies received a lot of attention in 2021. However, in the coming year, organizations will do more than improve their dependency visibility.

At Astadia, we build powerful software that helps enterprises and government institutions accelerate their digital transformation, enabling them to grow, scale, and stay on top of the competition. Automation is a common theme in DevOps – and there is lot of basic automation employed in the building, testing and deploying of a product; if the team takes advantage of various IDE plug-ins. However, we see very little automation with it comes to building and managing the engineering environment used to create and deliver products and infrastructure.

Key Devops And Software Testing Predictions For 2019

The log4j vulnerability pulled the open-source vulnerability awareness trigger for software consumers and the lack of management by the software creators. All software should be managed to avoid open-source vulnerability during development and post-production . Adopting Cloud Management Platform for DevOps enables organizations to gain high visibility into their cloud deployments. This gives the ability to control and monitor their cloud computing resources. The volume, variety, and speed at which data is being generated today, it’s a cumbersome task for the organizations with traditional approach and out-dated technologies to handle such massive volumes of data in daily operations. A lot of organizations started down the Agile and DevOps path looking to improve their delivery speed.

The future of DevOps: 21 predictions for 2021 – TechBeacon

The future of DevOps: 21 predictions for 2021.

Posted: Thu, 29 Jul 2021 11:26:00 GMT [source]

Artificial Intelligence and Machine Learning have left nothing untouched in the technical arena. DevOps isn’t left behind – this technological procedure has taken in much of AI and ML methods to find the best results. AI can change how teams develop, deliver, deploy and organize apps to boost their performances without much effort. 1Password launched Developer Tools – a set of features created to help developers easily and securely generate, manage and access secrets within development workflows, starting with Git. Security breaches will continue to rise if companies don’t take security seriously. As we have seen, DevSecOps has just become another buzzword with a lack of implementation ideas. There were many high-profile security breaches in 2021, which shows the companies’ negligence and poor security policies.

Then there are the pay-later solutions that a lot of tech giants are already offering. But the spotlight still seems to be fixed upon Crypto and NFTs that are going through an adventure of their lifetime. Blockchain technology has already had heads turned in the past few years, but the traditional institutions are now looking upon drawing suitable derivations from the existing crypto technologies. Traditional stock exchange firms are looking upon harbouring the time optimization and ease of use and security offered by blockchain to accelerate asset transfers, investments and transactions. With the innovations emerging in data analytics and better Fintech resources, organizations are also looking to enable better fraud detection and reliable customer experience.

devops predictions

The intelligence behind the human art of language and communication remains but a mystery in its entirety. Businesses too, across industries, seem heavily dependent on the art of language usage, therefore creating a desperate need to automate language processing in real-time. Natural Language Processing is one idea that artificial intelligence projects have already been motivated towards for quite some time, but 2022 would see this motivation clearer than ever. Researchers from tech giants like Google are already working on this front and now even rather small scale business ventures are keen to attract investment for the same. For the first time in the history of Artificial Intelligence NLP-based startups are set to enter the mainstream commercialization. The stay at home services have also forced the UI/UX thought leaders to set up a design system that enables engineers to develop proactive libraries for easily reusable design templates based on user feedback.

Red Hat announced new certifications and capabilities for Red Hat OpenShift aimed at accelerating the delivery of intelligent applications across the hybrid cloud. While buzzwords come and go, companies are constantly looking for technological advances to enable their teams to increase innovation, and make their customers and partners happy. Either way, DevOps engineers will be needed to figure it out and implement them.

  • Founding board member of the Value Stream Management Consortium and an Ambassador for the DevOps Institute.
  • Software-Defined Storage has already proved its mettle for flexible and automation savvy storage.
  • As the commercialized version of quantum computing comes within our range, breakthroughs will occur at a speedy rate.
  • There will be possible branch outs into CloudOps, AIOps, SRE/RecoveryOps and DevSecOps due to the rapidly growing number of tools and services addressing specific business goals and problems.

Most IT firms are opting for this technology based on various methodologies like Microservices. To tackle this, the concept of service mesh has gained tremendous attention lately. Service meshes help companies that employ a vast number of microservices to automate networking, monitoring, and security. In addition, service meshes aid developers in deploying new services and making changes to the existing ones without worrying about how this will impact the other microservices and their operational properties. Service mesh tools like Istio and Linkerd have gained massive awareness, but it is this year that we will gain traction. To be competitive, they must quickly deliver new features and products while keeping security and governance in mind.

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