Tips

Tips

• Establish a data classification model for cloud encryption

  Not all data requires the same level of encryption. Use data classification to gauge your security needs, including for workloads that span on-premises and cloud environments.  Continue Reading

• Legacy roots still hinder Oracle and IBM cloud strategies

  As IBM and Oracle look to shift away from legacy systems and hone in on IaaS, it won't be a clean cut. Still, each vendor has its sweet spot in the overall cloud market.  Continue Reading

• Map application dependencies to prepare for cloud migration

  The practices a development team puts in place to manage dependencies before a move to the cloud will determine how smoothly apps run long after they get there.  Continue Reading

• Evaluate speech-to-text services from AWS, Microsoft and Google

  AWS, Microsoft and Google dictation services can infuse cloud applications with helpful speech-to-text capabilities. Here's an overview of what each provider brings to the table.  Continue Reading

• Nvidia GPU Cloud marries data science and containers

  With its GPU Cloud, Nvidia offers a way to deploy data science workloads that span on-premises systems and the public cloud -- with containers playing a big role.  Continue Reading

• A cloud migration assessment lets IT look before it leaps

  Some workloads simply aren't cut out for cloud -- at least not without modification. Here's how to carefully assess your apps for public cloud migration before you make the move.  Continue Reading

• Cloud billing surprises help pinpoint app performance issues

  To assess cloud app performance, don't forget to closely monitor monthly bills from your IaaS provider. They might point to inefficiencies you'd otherwise overlook.  Continue Reading

• Evaluate Google Cloud TPUs for machine learning apps

  Machine learning apps have prompted a paradigm shift in the world of public cloud. Google is an early market leader with its TPUs and TensorFlow, but can it stay on top?  Continue Reading

• Overcome app deployment challenges in a multi-cloud strategy

  Looking to adopt a multi-cloud model? Be sure to address these common app deployment, redeployment and scaling challenges first.  Continue Reading

• Evolve IT staff, skill sets for a multi-cloud strategy

  To effectively implement and manage a multi-cloud architecture, enterprises first need IT team members who hold a unique mix of technical and business skills.  Continue Reading

• IPaaS tools aim to alleviate app integration troubles

  With the rise of hybrid cloud architectures, there's a heightened need for more sophisticated app and data integration tools. IPaaS can help but isn't necessarily a cure-all.  Continue Reading

• Manage Google cloud instances with images, templates

  Recent additions to Google Compute Engine, particularly around images and templates, streamline how admins can create and manage VMs.  Continue Reading

• Four signs you need a third-party cloud management platform

  In a multi-cloud deployment, IaaS providers' native tools for admins often fall short. These four signs indicate it's time to invest in a third-party cloud management tool.  Continue Reading

• Bolster multi-cloud security with these data privacy tips

  Data privacy is always a top priority for enterprise IT teams. And those with a multi-cloud model should adopt a mix of security techniques -- from erasure coding to encryption.  Continue Reading

• Azure PaaS strategy hones in on hybrid cloud, containers

  Microsoft's PaaS offerings might have a leg-up in terms of support for hybrid deployments, but the vendor still faces tough competition in a quickly evolving app-dev market.  Continue Reading