Marc Andreessen, the founder of Netscape, said long ago- “software is eating the world”. Every company has a software impact these days, and they are well-poised to sweep over broad swathes of the economy. He might have been predicting the future of DevOps in 2020, which now seems to be operating in a limitless marketplace.
DevOps adoption increased amongst businesses of all sizes, during the initial timeframe of 2015-2016. Furthermore, Statista declared a 17% increase in DevOps adoption by businesses in 2018. Google Trends shows an increase of around 714% in interest around the topic of DevOps over the past five years alone.
Where Is Devops Headed Today?
While DevOps is far from the new kid at school, businesses are still struggling to grasp its true potential for growth. With AI and ML finally here, the numbers can perhaps rise considerably in the near future. Why? These new technologies are enabling a lot more automation into the core development processes and lifecycle, thereby freeing engineers some precious hours to focus on tasks of higher priority.
AI is used to predict algorithmic influencers and ML can help adapt to new conditions quickly – and these two together can power DevOps teams in 2020. The ultimate goal of DevOps is to unify development and operations, and AI and ML can smooth out the path by learning patterns, anticipating problems and suggesting proactive solutions.
Automating The Assembly Lines: Realizing The Value Of A Job
We have pipelines to track the development of an application. These pipelines, like a flow chart, visually represent a product’s lifecycle – right from its initial stage of ideation to the final model and launch.
However, recent developments suggest that continuous integration is a thing of the past. CI is obsolete in a world focused on effective monitoring and implementation. Automation is key to the future. This is where assembly lines enter the picture.
Bridging the gap between manual and automated tasks, assembly lines are ensuring the absence of redundancy in tools. They are ensuring that apps are hitting the production lines as fast as possible. Whether it’s about delivering faster response times to demanding customers via smart chatbots or improving the inventory management with a tracking and logging system- automation is the key. One thing to keep in mind; however, is not to overdo it. Too much automation can kill the cat. The best option is to break down the labor-intensive processes, find repetitive tasks and automate those to save time.
The six pillars of DevOps cycle which incorporate automation are:
- Business planning
- Collaborative development
- Release and deployment
- Collaborative customer feedback and optimization
DevSecOps: Security Is Paramount In DevOps
Sadly, there are too many security-related disasters to ignore this aspect of DevOps. Right from the Capital One breach to Samsung Note 7 disaster, the importance of data security cannot be stressed enough. It’s not only a matter of bug fixes in updates that roll out a few months post the product launch. Going back to the Samsung Note 7 fiasco, it cost the company around $17 million, and perhaps a significant dent in brand reputation.
This simply means that security is now the responsibility of each team member and not just the security experts – it is a business problem and not just a technology problem. Step up against cybercrime. Otherwise, be prepared to fall victim to it, and end up with broken funnel, plummeting sales and drooped shoulders of the team.
Enterprise security options that safeguard your company, as well as your clientele, are rising in popularity. There’s no scope for compromise, not even with third-party programmers. Since CI/CD pipeline can be, and are, automated nowadays, security has to be a design constraint. While the CI/CD pipeline helps in easily making rapid changes on a daily basis to address customer’s needs and demands, keeping security at the forefront of your product goals can be detrimental to your success.
Security is no longer an add-on! You need to build it into the software application right from the initial stages, instead of bolting it on the final product. DevSecOps is all about injecting security into the bloodstream of your application’s lifecycle, thereby reducing the vulnerabilities. It is bringing security much closer to IT and business objectives.
When everyone in the team is held responsible for security, there is less noise and confusion about who did what and what went wrong. In other words, less time wasted, and more work is done in a better way. So, make sure your developers are using the same dependencies, environments as well as software packages throughout the development process. To this end, an artefacts repository manager can be crucial to your security.
The Significant Evolution Of Kubernetes
Another feature that is having a considerable impact on the evolution of DevOps is Golang, a programming language, used to write DevOps tools such as Docker, helm, Istio, etc. and most importantly Kubernetes. This Kubernetes was created by Joe Beda – who wrote about Golang as an excellent language alternative for people who don’t want or can’t afford to install dependencies as they comply with the stand-alone binary. With this, one can get the work done faster without setting up a whole work environment.
Surveying more than a thousand developers in San Diego and London on Go community, JFrog has arrived at the following conclusions:
- Developers following Go are highly engaged
- Adoption of Go module is very high
- Go language is widely used across many industries
- Around 82% of developers using Go use Go versions that can use Go modules.
- Picking out Go Module is very hard.
Being the fastest growing technology for containment, Kubernetes is straightforward to use and has many perks to offer. It is Kubernetes that has built a vast open source community around it. Many technologists and CIO’s from around the world are using Kubernetes and it has been evolving with time. A survey done by Cloud Native Computing Foundation has shown the growth of Container Orchestration Landscape and its move towards Kubernetes.
Introduction Of Microservices Architecture
Another trending feature of DevOps that is trying to fit into the new environment is Microservices Architecture. As the name suggests, these are microservices that group together to make implementable and agile tools that can be used by the DevOps team to test and scale software in mere weeks rather than years. This way, businesses can streamline the production and development sectors setting them ahead of the initial production estimate and saving enough time and capital.
Implementation of microservices into one’s DevOps team can have significant benefits such as:
- Help the company focus on the runtime
- New development sources are efficiently delivered
- Hassle-free creation of dependency errors when bugs show up without an easily traceable reason
Microservices has joined hands with DevOps to make it easier for the companies. Being an independent entity, it prohibits the creation of dependencies and crumbles other systems when a mishap takes place. They also help in the easy addition of new features making deployments for the companies. Now companies are stretching their hands towards a microservice architecture for efficient delivery and increased runtime. It can be beneficial to understand when and how to adopt these features to most of what they offer.
Also Read: Why Integrate QE Into The DevOps Cycle?
Future of DevOps
There are mainly two reasons for the automation of infrastructure in cloud architecture.
- Firstly, IT pros, SysAdmin and DevOps are needed to automate as many of their tasks as possible, such as application management and performance, log monitoring and management.
- Secondly, automation is known to make diverse and complicated management of the environment easy and allows them to scale rapidly.
The automation tools of the cloud infrastructure can be easily classified as automation based on;
- Automation, and
Whereas, based on architecture, automation tools can be used for
- Google Cloud
- MS Azure
Some of the key DevOps vendors in the market are some renowned names that have already incorporated this technology and doing an excellent job. They are as follows;
- Red Hat
- CA Technologies
Today, the practitioner of DevOps skills is in great demand in the market and the trainer’s demand is expected to gain an increase in many companies. Many organizations are joining hands with DevOps training professionals to increase their productivity and functioning. Many are taking this up as a career option and are building core skills such as coding, communication and are gaining knowledge of automation tools.
Wrapping Up: The Future Of DevOps
Forbes reported $390 billion predicted increase in revenue for DevOps businesses in 2020. Furthermore, 60% of all IT jobs are expected to be cloud-based in 2020. As expected, money is being splurged by businesses to adopt cloud computing, and as a result, the demand for developers in Cloud, SDN and NFV is skyrocketing. Keeping up with trends of the cloud applications and automation is crucial, not only to businesses hiring new talents but also for those trying to make a career in this field.
DevOps or Cloud automation (also known as Cloud orchestration) depends on two critical pillars: Software development (application) and operational automation, as already discussed above. Each of these calls for programming, and thus, a programming language. With recent developments, it is safe to assume that Golang is the best choice for developers and businesses of today, and hopefully tomorrow.