Tips

Tips

• Open source low-code platforms extend app dev capabilities

  Enterprises want their apps to go to market as fast as possible. Low-code platforms accelerate development processes, and with open source, these platforms are more customizable.  Continue Reading

• Accelerate API dev with documentation-driven development

  A missing cloud API doesn't mean all work needs to stop. Engineering and development teams can work with a mock API server until the real API is production-ready.  Continue Reading

• Dig into Azure Kubernetes Service networking options

  Enterprises that choose the wrong AKS networking option could face poor performance and higher costs. Evaluate the advantages and limitations of each option before you rush in.  Continue Reading

• Azure management groups ease policy enforcement

  It isn't easy to manage Azure subscriptions, but with management groups, admins can now simplify policy enforcement on a larger scale.  Continue Reading

• Write your first Google Cloud Function with these three tips

  To build a serverless function, many developers require a shift in mindset. Use these three tips to create a cost-effective and high-performing function in Google Cloud Platform.  Continue Reading

• Right-size a cloud VM for better performance, lower costs

  Most companies don't pay enough attention to VM selection during cloud app deployment -- which can drive up costs. Follow these steps to right-size a VM and stay within budget.  Continue Reading

• Azure Stack growing pains could weigh on enterprise appeal

  Microsoft's hybrid cloud platform continues to pique the interest of enterprise IT shops but still lacks the maturity and breadth of the Azure public cloud.  Continue Reading

• Optimize serverless function performance for faster deployments

  Serverless computing offers numerous benefits, but poor performance can negatively affect deployment time. Follow these strategies to fine-tune and optimize serverless functions.  Continue Reading

• Compare cloud API management tools from AWS, Azure and Google

  While the API management tools from top cloud providers share some functionality, there are key differences that developers -- especially those in a multi-cloud model -- should know.  Continue Reading

• 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