In this blog post
GAVS’ DevOps service creates a digital transformational strategy for enterprise IT by creating, testing, and deploying faster and more dependable software. These services simplify provisioning, configuring, scaling, managing and installing application code and resources. Focused on improved customer satisfaction, quality, performance, and faster time to market, it’s pay-as-you-go model ensures competitive advantage to enhance business growth.
Take a look at where DevOps trends/predictions will grow in 2018 – from continuous delivery and automation to microservices adoption.
2018 will be the year of Enterprise DevOps
According to a study by cloud-management provider RightScale, the ratio of enterprises that have adopted some aspect of DevOps principles reached 84% in 2017. However, there’s a difference between accepting principles and putting them into action. That same study showed that just 30% of enterprises have been able to adopt DevOps company-wide.
While DevOps adoption has gone wide, it hasn’t necessarily gone deep. Experts believe in 2018 large organizations will start not just doing DevOps but doing DevOps at scale.
Focus shifts from CI pipelines to DevOps assembly lines
Pipelines provide a complete visualization of your app from source control to production. It is about CD (continuous delivery) rather than just doing CI now. Organizations are investing their time and effort to understand more about automating their complete software development process. In 2018, the shift is going to be from just CI pipelines to DevOps assembly lines.
Automation will be the primary focus
DevOps talk a lot about automation and Zero-touch automation is the future. It doesn’t mean that you have to automate everything. Understanding the 6 C’s of DevOps cycle and making sure to apply automation in-between these stages are the focus areas.
- Continuous business planning: It starts with identifying the skills, outcome, and resources needed.
- Collaborative development: It starts with the draft development and programming plan.
- Continuous testing: Unit and integration testing help to increase the efficiency and speed of development.
- Continuous release and deployment: A nonstop CD pipeline will help you implement code review and developer check-ins easily.
- Continuous monitoring: It is needed to check changes, address errors and mistakes spontaneously whenever they happen.
- Customer feedback and optimization: It permits for an immediate response from your customers for your product and its features and act accordingly.
DevOps transforms into DevSecOps
Security will integrate with DevOps way of thinking. DevSecOps will become mainstream and security technologies designed for developers will dominate the security market.
Security will seamlessly embed in the SDLC and CI/CD pipeline. The need for speed and velocity with quality in development makes it a standard requirement for building enterprise class services and applications. This mean developer will have a larger role and be accountable for ensuring the security of their applications and the data that they process.
Digital security shift left
Security best practices require more than just better authentication and encryption in your digital business. It requires that you build digital integrity directly into your code in every step of the SDLC cycle from requirements through scrums and testing. By using automation to build reliable security checks into your DevOps pipeline earlier, you can significantly reduce your organization’s exposure to digital risk and reduce the total spending on late-stage application security mitigation tasks.
Comprehensive DevOps plan
Previously, DevOps projects were being initiated as bottom-up initiatives. Program managers, planning processes, budget allocation and executive buy-in were all intermittent and not specifically tied to business goals or measurable objectives. As DevOps become mainstream, both organizational resources and budget allocation with structured planning will be attached to measurable business outcomes.
Serverless technology will take prominence
As cloud technology mature, serverless architecture has emerged to drive smaller, more efficient services. 2018 will see serverless architecture spike in adoption, and new use cases will appear to assemble and disassemble the stack in ways that haven’t been possible before.
Meanwhile as containers and orchestration edges are becoming commoditized to the point where they’re being abstracted away at the application layer, DevOps will seek to drive business value in new ways in 2018.
According to analysts at Research and Markets, serverless computing and this abstraction are driving the function-as-a-service market at a phenomenal rate. In 2018 and subsequent years, they expect this market to grow by almost 33% annually, reaching $7.72 billion by 2021.
KPI metrics drives DevOps
Measurement is the basis for the wide scale DevOps adoption. The right blend of metrics gives organizations the visibility to understand what’s working with tools and processes now and what needs to be realigned or rethought entirely.
There is not necessarily one perfect KPI. Ideally IT performance is a family of metrics that consists of four measures: deployment frequency, lead time for changes (code commit to code deploy), mean time to restore (MTTR), and the change failure rate. The first two are throughput measures; the last two are stability measures.
DevOps will push innovative experimentations
DevOps organizations that are secure in their business and technical goal metrics will be willing to take risk and experiment. A solid foundation built on good metrics provide a safety net against failure. Collecting and tracking metrics allow organizations to do things they’ve never done before and set risk parameters around those experiments so that, when they fail, the impact is limited. This is crucial for innovation.
DevOps organizations are gradually shifting from the mindset of preventing failure to embracing it by looking at ways to limit the stake for failure when it inevitably happens.
Increased adoption of microservices architecture
DevOps and microservices are going hand in hand. Microservices are independent entities and hence does not create any dependencies and break other systems, when something goes wrong. Microservices architecture help companies make deployments and add new features easily. Companies are expected to move to microservices architecture to increase their runtime and efficient delivery. Don’t just follow others because they adopted it, know yourself and understand why you should adopt a microservices architecture.
Companies can leverage GAVS’ expertise and support team to define a clear DevOps roadmap for 2018. Reach us at https://www.gavstech.com/reaching-us/