Let’s talk about DevOps and your data center. DevOps, when implemented correctly, has a positive impact on how work gets done. A successful DevOps implementation leads to expedited workflows, quicker troubleshooting, improved communication, and better results overall. Businesses are facing rapidly changing data requirements and there are a few areas of focus that should prompt DevOps teams to consider what methodology works best to meet their business goals moving forward.
What Is DevOps?
DevOps has been described as a methodology, a set of practices, tools and cultural philosophy. But at its core, DevOps is meant to integrate and automate the work of software development (Dev) and IT operations (Ops) as a means for improving and shortening the systems development life cycle.
Artificial Intelligence and Machine Learning (AI/ML)
As AI/ML adoption continues to accelerate, its role in in DevOps expands as well. AI/ML is now being used for reviewing, refactoring or restructuring existing code, as well as generating new code. However, as with most rapidly evolving technologies, inconsistencies, insecure code, and vulnerabilities might rear their ugly heads. Organizations will need to rely on quick and agile technologies to provide enhanced efficiency, scalability, and security to their DevOps environment.
Virtualization
Developers can successfully leverage virtualized environments for DevOps applications. Virtualized DevOps have a wide range of benefits including speed, insight and automation. With the deployment of VMs, speed is unprecedented. Hundreds of VMs can be built in minutes, allowing developers to continuously test software builds, and for security purposes, VMs can be quickly and frequently destroyed. Data can also be analyzed at the per-VM level, allowing developers to rapidly self-diagnose performance issues. The cause of latency can easily be found in seconds across compute, network, and storage. In addition, developers can automate the environment and easily make modifications to the infrastructure while ensuring they are running the latest code.
Code Explosion
The amount of code being produced is exponentially expanding. With the advent of large language model (LLM) and Generative AI, the productivity of coders has dramatically increased and will continue to do so. There will be an arms race in application development. Software will soon be running everything from your toothbrush to your toilet. This means more workloads, more storage, and more insights are needed to generate and iterate code in your DevOps environment.
Thats just the tip of the iceberg. Most of the code will be running behind the scenes without you even knowing it driving dramatic and much needed efficiencies in sectors like Healthcare and Government. This will streamline and reduce transaction costs leading to better services and lower costs.
Business keeps changing. Choosing the right DevOps approach and technologies to keep you ahead of the curve can make all the difference. With real-time analytics and automation, Tintri VMstore’s VM-aware technology can unlock the full potential of your DevOps environment, providing unparalleled productivity and agility.
