Organizations that are yet to adopt DevOps might think that the opportunity for them has passed, which is a thought far from the truth.
Software development in the current times is all about how agile you can be with the process and how you can leverage that speed to be competitive in the market. But the race to the top does not end there; it only begins with adopting DevOps. While the agile methodology is the stepping stone to DevOps, the entire purpose of the DevOps philosophy is to usher in grassroots transformation.
As newer technology is constantly pouring in, the need to incorporate it easily within the existing systems is evident. The beauty of DevOps is that it allows room for improvement, which has been its USP since its inception. The functionality of DevOps today is so vast that it would’ve been almost impossible for even Patrick Dubois to initially imagine.
Let us take you through the prospects of DevOps in the foreseeable future and talk about how you can benefit from them.
Modular Components offer Pipeline Overview
Flexibility and scalability form the bedrock of Serverless Architecture by reducing developer workloads through cloud monitoring. To make things better, the monolithic architecture is being overturned by the pipeline modularity of microservices that can adapt to the ever-evolving market conditions. The ability to interact individually with bundled services has been seen to improve TTM and enhance deliverability phenomenally. This is done by segmenting the systems for on-demand scalability, which tends to make them responsive to market trends. Fintech start-ups that have a variable demand based on app usage are leveraging the flexibility of pay-per-use services. Fintech-as-a-Service (FaaS) is simplifying global payments with a unified tech stack at its disposal.
Fintech providers can put this to their advantage by keeping their applications up to date with security features without compromising the application’s usability as a whole. The phased deployment will reduce the downtimes to zero, exponentially boosting the user experience. Complete shutdowns prove to be disastrous in an economic system that runs 24 hours a day, especially for financial systems.
By being loosely coupled, services in the financial industry gain the necessary resilience that prevented their digitization a decade ago. As a result, maintaining financial systems will become more cost-effective and significantly more immune to errors. Although microservices and service-oriented architectures (SOA) are similar, the scope of SOA is broader than the former, making it an important future trend. With the cloud microservices market poised to grow at 18.6% through 2030, the market potential of SOA is understandably huge.
Marrying Container Orchestration with an Immutable Repository
The development side of DevOps has benefited from an agile process by bringing security early on in the SDLC and using Scrum as a development technique for better performance. But the operations side of the spectrum has gained way more through an integrated process that factors in cross-functional collaboration for higher efficiency. An important aspect of refining software development is using Infrastructure-as-Code (IaC) to avoid application misconfigurations.
The interoperability of independent services can be ensured through container orchestration that automates the infrastructural needs of CI/CD pipelines. With innumerable dependencies in the development environment, replicating environments for seamless integrations is crucial. The deployment fastens with ease of testing, making incremental updates more consistent and secure.
Almost 80% of the data analytics projects fail due to unauthenticated data. While container management with Kubernetes and Terraform is already popular, GitOps is the trend that the financial industry is on the cusp of adopting for managing their service clusters. It serves as a single source of truth for the entire organization, making it the Holy Grail for the future of DevOps in the financial industry. This feature’s reliability can make rollbacks easier with the automated generation of audit trails for compliance. As a pilot project, Mettle created a self-service delivery platform that increased developer velocity by 50% and deployments by 75% while thrashing the mean-time-to-recovery (MTTR) to a mere 20 minutes.
Predictive Analysis is Trending
Artificial intelligence is the talk of the town, and the craze has no bounds at the moment. The leaps in AI/ML technology are exciting as well as essential for the way the financial industry is evolving. The complexity of the financial systems with their explosive data calls for the use of technology to make it usable. But that’s just the operational front of the trade. Predictive analysis for software development is a more specific use case of AI.
Predictive analysis can help improve the SDLC through a feedback loop mechanism that flags risk-prone areas. The deviations in the production environment can be monitored by comparing the system’s desired and current states, as in the case of GitOps. As the development process is becoming overly automated and the server loads are increasing, it has become vital to track any anomalous behavior in the systems to plug the system errors in the very beginning. The longer these are left to linger, the harder they become to weed out, and the financial distress caused by the time is also enormous. Predictive analysis also helps stay clear of alert storm floods, saving time and resources.
Application delivery can also be observed for any discrepancies in the workflow through DevOps tools like Ansible and Puppet. Appropriate surveillance is the key to intelligent automation, and the same can be achieved via machine learning tools. Software development quality can also be improved through an ongoing testing library that fixes bugs at lightning speeds and keeps adding to the AI’s learning curve. Even security breaches can be identified and stopped beforehand via digital fingerprints of system usage. This is not only punitive but also an excellent deterrent for malicious activities. Sadly, 33% of the ESG surveyed organizations admittedly lacked AI/ML skills, which makes the predictive analysis trend even more prominent in the time to come.
The future of DevOps is more Automated than ever
All the trends discussed above have automation at the base of their existence. Implementing anything at a scale that is sustainable, comes with a clause of automating it securely. Scalability, modularity, and security are all the better with automation because of the enormity of the logs and event data the DevOps teams deal with. The crux of the matter is that adopting the DevOps philosophy for better communication across the organization to automate the grunt work is what the future of DevOps holds. To stay on top of your game, you need to optimize the DevOps features and technological developments that make this cross-functional collaboration more fruitful.
If you want to stay abreast of the trending technologies in DevOps and keep the competitive spirit in your organization high, contact us now and thank us later.