Businesses are in the continuous flux of providing perpetual application performance, zero downtimes to trillions of connected devices and redesign customer interaction on digital assets. Moving to the cloud is one way to achieve mentioned parameters. Moving to the cloud is not the ultimate survival strategy. They still need agility, cost-savings, and better performance for millions of connected devices. The development and cloud operations must go hand in hand to make the most of cloud platforms. Organizations still using traditional development models miss out on the benefits of cloud such as - automation, self-provisioning, infinite computing and flexibility.
Cloud and DevOps are successful together
DevOps bring two teams together and cloud facilitates their smooth relationship by automated provisioning and scaling of hosting resources. Developers can quickly set up new environments without help of IT operations. Meanwhile, IT can investigate other functions related to infrastructure costs, enabling security and dynamics. Cloud is the common language here and thus, connects two different teams.
Cloud and DevOps both have the same purpose of providing speed, agility and automation to businesses. DevOps stresses on automation and practicing everything continuously. Cloud enables automated provisioning of computing resources, scaling up and down, and usage-based cost. Both solve the automation problems for organizations.
They have an ability to bring in a dramatic shift by providing a centralized platform to test, automate and deploy apps. In traditional setups, there are dependencies on the operations team. Legacy systems pull downscaling of new applications because of incompatibility with new age technologies. DevOps on cloud gives better application availability and faster deliveries. But it is easier said than done.
The article highlights how teams starting DevOps on cloud should approach it to keep software delivery, quality, performance and security intact –
Security in the cloud – DevSecOps is already taking the centre stage for organizations moving ahead in DevOps journey. Organizations are concerned about security while doing DevOps in cloud because of increase in releases, frequent application changes and data breaches, DDoS attacks etc. Organizations using DevOps in the cloud with new technologies like micro-services, containers etc. have new security challenges into the overall product architecture.
It becomes very critical to integrate security from into the build and test pipelines. Cloud security best practices like identity and access management, security architecture drawing in the application development and robust compliant practices are few points to consider.
Taking care of automated performance engineering – Cloud architectures can be complex and can cause unpredictable issues in the workload, every time a new code is being deployed in the environment. Performance tests with continuous integration, build and deployment provide a stable performance of cloud applications.
Platform agnostic DevOps tools – Organizations are aware about disadvantages of getting into vendor lock in. The quickest solution for organizational buyers is to seek help from same cloud vendors for DevOps tools, but not an ideal thing to do. The right set of DevOps tools should be platform agnostic and must be able to scale as per the requirements.
Achieving CloudOps – Cloud has gained popularity because of its high availability and load balancing features that keep the applications running continuously. Continuous Operations can help companies to achieve zero downtime with the ability to run software into cloud using right Cloud Management Platform, Monitoring tools that help in achieving continuous everything in the CloudOps.
The Qentelli Way
Qentelli has provided DevOps solutions to some of the world’s largest companies. We have pioneered usage of DevSecOps, Performance Engineering, CloudOps in these engagements.
Qentelli has a suite of products that provide advantage to CloudOps initiatives by collecting data from various data sources and derive actionable insights to improve processes, provide predictions for incidents and auto-healing broken processes and get a complete view of functional and non-functional test results.