Whether it’s a large-scale physical to virtual cloud migration or a non-standard project that could use some outside know-how, there’s always a new test for your technology and business to overcome, which is where our cloud consultancy services can help.
Cloud Planning
STech is an evangelist in cloud adoption practices, specializing from small non-complex environments to large and complex, highly sensitive enterprise domains. With vast exposure to the practice and type of customers, SSTech withholds we’ve gained vast knowledge and experience in common enterprise cloud migration challenges, and have devised a Landing Zone as part of Cloud Onboarding. The planning is a holistic process meant to help various types of customers with different scale of services to take their first steps in the public cloud with confidence, making sure they are utilizing cloud infrastructure as efficiently as possible while focusing on strict security, compliance, and governance measures required by enterprises.
Cloud Governance
In a nutshell, cloud governance is a carefully designed set of rules and protocols put in place by businesses that operate in a cloud environment to enhance data security, manage risks, and keep things running smoothly. The convenience of the cloud is a beautiful thing for businesses and consumers alike. But it also means that employees can develop their own systems and deploy assets to the cloud with the click of a mouse (or the swipe of a finger). Sometimes systems don’t always play nicely with each other, even in the same organization.
Cloud Optimization
Cloud optimization is the process of correctly selecting and assigning the right resources to a workload or application. When workload performance, compliance, and cost are correctly and continually balanced against the best-fit infrastructure in real-time, efficiency is achieved.
Every application’s and workload’s needs for infrastructure are unique—and these requirements evolve over time. Baseline performance is traditionally achieved by applying domain knowledge when selecting resources for a workload, but all workloads that have been manually matched to cloud resources can benefit and be further optimized using machine intelligence.