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Modernize legacy systems into secure, scalable, and future-ready digital platforms.
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Unlock business value by defining and implementing a clear, results-driven AI roadmap.
Design intuitive, user-centric interfaces that elevate engagement and drive measurable outcomes.
Validate product ideas and define a focused MVP roadmap that accelerates time to market.
Craft seamless end-to-end product experiences that align user needs with business goals.
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Identify vulnerabilities and strengthen defenses through rigorous security testing and risk assessment.
Validate APIs for reliability, performance, and security to ensure seamless communication between systems and applications.
Ensure stability and continuous improvement through proactive monitoring, maintenance, and ongoing application support.
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The DevOps culture is gaining ground in the software development industry. The global DevOps market is projected to reach $9.41 billion by 2023, registering a CAGR of 18.7% from 2017 to 2023. | Allied Market Research
Over the decade, DevOps has become one of the most followed approaches for software development. The entire idea of making developers and operations team collaborate brought some amazing changes to software development and delivery cycle. As a consequence, a number of tools, technologies, and disciplines kept evolving to support this new culture. While the list of them is quite long, here we will discuss a few of them that have actually become a trend in DevOps and are worth folllwing.
1. Artificial Intelligence and Machine Learning to Lift the DevOps Cycle
Almost every industry these days swear by the benefits that Artificial Intelligence and its technologies bring in. Same is the case with DevOps- this new culture to elevate the SDLC cycle is making the most of AI and ML. Both the technologies are adopted for their potential to process large volumes of data, ensuring that the IT teams do not have to put in their efforts in performing menial tasks, allowing them to complete tasks with high priority and those requiring the involvement of human intellect.
Machine Learning, which applies cognitive learning to understand the pattern of a process can be applied to improve the software development cycle. For example, it can be used to identify the reasons for bottlenecks, blockages, and capacity issues during integration and deployment phase. By making the CI/CD pipeline smoother, developers can ensure faster-time-to-market of the solution by ensuring on-time fixing of errors.
2. Automation and DevOps Monitoring to Spot and Fix Errors On Time
Devops monitoring involves the idea of proactively monitoring the entire infrastructure and the software in the test & production stage to identify errors and fix them on time. There are five significant elements of DevOps monitoring:
READ MORE: DevOps Monitoring and Six Significant Elements
By identifying performance deviations, availability issues, and functional correctness on time, it is possible to save the end users from the effect of errors. While automated, proactive monitoring ensures smooth functioning in the background, it encourages the developers to propel forward with new releases seamlessly.
3. Making Security a Priority with DevSecOps
Developers are primarily concerned with the functionality of the application. As the application scales and become complex, it is important to look after the security at every stage of development, and not just during test and production.
DevSecOps ensure that development, security, and operations team collaborate to work closely on varied aspects of DevOps workflow, which ultimately improves agility. This will ascertain that the teams make the most of tools and technologies that are being to automate tasks, allowing errors and vulnerabilities to be spot and eliminated on time.
4. High Adoption of Microservices Architecture Complements DevOps
These days, Microservices is one of the most preferred architectures for software development. Since it follows the idea of breaking down an application into decoupled, independent modules that makes continuous deployments seamless. Once an application module is ready, it can be deployed to maintain a continuous delivery pipeline. The DevOps and Microservices collaboration will help the development team to eliminate dependencies, which will ultimately lead to faster product delivery in the market.
5. Assembly Line will take CI Pipeline to Next Level
A number of tools are being used to automate DevOps activities. The toolchain is generally fragmented and bringing them all together to achieve continuous delivery is one of the biggest challenges that DevOps teams confront. This is where DevOps Assembly line comes for the rescue.
Assembly lines ensure that the gap between manual and automated tasks is eliminated. When developing a software application, a number of teams work to get the delivery on time. This may involve QAs, developers, operations team, SecOps, release management teams, etc. Bringing together these teams to streamline th delivery is what DevOps Assembly line helps with.
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Topics: DevOps
Content strategist by profession and blogger by passion, Archna is avid about updating herself with the freshest dose of technology and sharing them with the readers. Stay tuned here as she brings some trending stories from the tech-territory of mobile and web.
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