Tips

Tips

Cloud application development

• How to evaluate cloud certification training

  Cloud computing has changed the role of certifications. See why you're better served by breadth rather than depth of knowledge, and keep learning to keep pace with the industry.  Continue Reading

• The pros and cons of adding edge computing to a cloud architecture

  Edge computing won't make sense for every IoT device or workload. Follow these edge computing examples to know where and when you should use it as part of your cloud architecture.  Continue Reading

• An FAQ on cloud APIs and application development

  Cloud APIs offer self-service and automation. Find out how APIs streamline application development in the cloud and learn about the limitations imposed by a lack of standardization.  Continue Reading

• How to apply serverless in front-end cloud computing

  As application front ends move to the cloud, it's important for app designers and cloud users to understand how serverless and other models affect performance and cost.  Continue Reading

• Design a cloud application with portability in mind

  Writing apps for easier portability between clouds takes some work and comes with tradeoffs. Yet, the effort required to design a portable app can pay off in the long run.  Continue Reading

• 4 DIY cloud projects to make your business more cloud-friendly

  Show your business there's value in doing more in the cloud. Even in a work-from-home world, you can start small with projects that will be catalysts for broader adoption.  Continue Reading

• The future of quantum computing in the cloud

  Quantum computing is the latest technology to catch the eyes of developers and cloud providers like AWS and Microsoft, but analysts predict it could still be years away from practical use.  Continue Reading

• An overview of how AWS changed Lambda for the enterprise market

  Learn how AWS Lambda has been updated over the years to address shortcomings in its serverless computing platform, and how enterprises have become savvier about when to use it.  Continue Reading

• Evaluate on-premises vs. cloud computing pros and cons

  Let's take a look at on-premises vs. cloud computing models and evaluate the benefits and drawbacks of each option.  Continue Reading

• 6 Amazon SageMaker capabilities developers should know about

  Developers and data scientists should familiarize themselves with these six SageMaker tools meant to simplify the machine learning process. Discover what they offer to your models.  Continue Reading

• How to pick the right third-party CI/CD tool for the cloud

  Learn the pros and cons of the main types of third-party CI/CD pipeline tools -- managed, self-hosted and code repositories -- and see why they're superior to cloud-native options.  Continue Reading

• Speed up AWS Lambda cold starts with these strategies

  Cold starts are a common and frustrating issue for AWS Lambda users. Learn why they happen and how to prewarm Lambda environments to minimize latency.  Continue Reading

• Instill cloud change management best practices

  Automation is essential to change management in the cloud. Discover the best practices that ensure your IT team is in sync and productive when handling change.  Continue Reading

• AI-driven development trends shake up the cloud market

  Enterprises are increasingly interested in AI, and cloud vendors are in a race to adapt their platforms to meet those needs. See what initiatives are underway to meet the next wave of app development.  Continue Reading

• How Google Cloud Composer manages workflow orchestration

  Before users get started with Google Cloud Composer, a workflow orchestration service, they need to grasp key concepts of the Apache Airflow software that underpins it, including DAGs.  Continue Reading

• Decide between cloud-native apps and app modernization

  Whether you want to update current workloads as part of a migration or you're leaning toward a cloud-native model, review the benefits and drawbacks of each approach first.  Continue Reading

• IaaS vs. PaaS options on AWS, Azure and Google Cloud Platform

  Looking to shift your workloads to the cloud? Understand and compare the IaaS and PaaS options on AWS, Azure and Google Cloud Platform.  Continue Reading

• A comparison of 6 speech-to-text services

  AWS, Microsoft and Google can add speech-to-text capabilities to apps, but they're not your only option. Compare those cloud-based tools to other AI-infused transcription services.  Continue Reading

• Assess the pros and cons of citizen developers in the enterprise

  When it comes to citizen developers and no-code/low-code, there really is no one-size-fits-all approach. Determine their value, as well as their limitations, for your specific app development needs.  Continue Reading

• Public cloud services grow HPC market, but work remains

  HPC applications need a lot of resources, but not all enterprises can meet those requirements. However, new cloud services are emerging to address that gap in the market.  Continue Reading

• Compare Google Cloud Firestore and Firebase Realtime Database

  Managed NoSQL databases are increasingly popular for app development. Compare two such options from Google -- Realtime Database and Cloud Firestore -- to see if they meet your needs.  Continue Reading

• BigQuery updates highlight AI push, but work remains

  Google took a different approach than AWS and Microsoft when it built a service for ad hoc SQL queries. See how that played a role in the latest round of updates to BigQuery.  Continue Reading

• Explore Azure interface options for cloud developers

  All cloud providers, including Microsoft, offer a range of resources to aid cloud development, deployment and management. Explore the various interfaces Azure developers can use to accomplish these tasks.  Continue Reading

• Is a Cloud Foundry deployment right for you?

  Enterprise PaaS needs have grown from streamlining app deployment to the ability to use the hosting infrastructure of their choice -- which has put Cloud Foundry in the spotlight.  Continue Reading

• What to expect -- and not expect -- from serverless computing

  The scope of serverless computing continues to evolve as cloud providers try to reduce the drawbacks and join the technology with containers.  Continue Reading

• Cloud cost implications of the 5 V's of big data

  Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value.  Continue Reading

• How should app developers choose a cloud provider?

  Not every service in the cloud matters to developers. Look for these core features, and see which providers stand out when it comes to microservices, containers, AI services and IDEs.  Continue Reading

• Mock services create parity between local and cloud dev environments

  Developers don't want to run into issues when moving between local and cloud development environments. Find out how to get parity between the two.  Continue Reading

• Untangle cloud application integration spiderwebs

  A migration is a big feat, but once you are in cloud it's not a 'set it and forget it' situation. Enterprises should take a closer look at integrations and connections.  Continue Reading

• TOSCA and other cloud standardization efforts stall

  As enterprises continue to work with multiple cloud models, they are sure to face integration, interoperability and portability issues. Cloud standards may still be the answer.  Continue Reading

• AI presents new cloud security challenges when building apps

  AI and machine learning technologies can broaden an application's capabilities, but they can also open an enterprise to new threats.  Continue Reading

• Improve cloud performance with these 6 techniques

  Boost the performance of enterprise cloud applications with the right mix of services and design choices. Consider these elements to optimize your workloads.  Continue Reading

• Azure API Management consumption tier targets serverless

  Azure's API Management consumption tier is built to manage serverless APIs, but it lacks many features users take for granted. Find out if its benefits outweigh the drawbacks.  Continue Reading

• Get started with Google Cloud Deployment Manager

  Deployment Manager is Google's infrastructure-as-code tool. Learn about its features and how to automate use of resources such as Compute Engine, GKE and BigQuery.  Continue Reading

• Examine the top low-code development platform options

  Nontechnical users can now build applications with little or no coding experience. However, there are many factors to consider before you jump in.  Continue Reading

• Pick a cloud IDE that best fits developer projects

  Cloud IDEs give developers more flexibility with when, where and how they create, deploy and manage code. Although enticing, end users should understand all aspects -- the good and the bad -- of cloud IDEs.  Continue Reading

• A beginner's guide to cloud-native application development

  Cloud-native applications have become ubiquitous in IT environments. Learn what it takes to create cloud-native apps and which development tools are available.  Continue Reading

• Get started with natural language processing APIs in cloud

  As the cloud makes AI technology increasingly accessible to enterprises, more developers look to incorporate natural language processing into their apps.  Continue Reading

• Build and share code via Azure Notebooks

  An Azure service enables enterprises to host Jupyter Notebooks in the cloud to ease access and management. Learn whether it could benefit your dev team, and how to get started.  Continue Reading

• Experienced cloud architects, engineers in high demand for 2019

  Despite all the buzz around emerging technologies such as serverless, many enterprises in 2019 will first look to round out their core cloud management and development skill sets.  Continue Reading

• When to manage APIs with cloud-native vs. third-party tools

  As enterprises break out applications into smaller components, both in the development cycle and for operational scalability, APIs become more important -- as does proper management.  Continue Reading

• Cloud-based quantum computing inches slowly toward enterprise

  A lot of questions -- and complexity -- still surround quantum computing. But as enterprises eventually ramp up with the technology, most will do so through cloud-based services.  Continue Reading

• Don't dwell on the nuances of low-code vs. no-code

  As more and more business users acquire basic programming skills, enterprises shouldn't get too caught up in the nuances between low-code and no-code platforms.  Continue Reading

• Machine learning tools ease cloud security, log management

  Machine learning has increasingly found a home in enterprise cloud management teams, but the technology is still far from being a magic fix for complex tasks, such as multi-cloud cost optimization.  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

• 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

• 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

• 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

• 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

• 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

• 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

• Three ways to prepare applications for serverless platforms

  Compared to those that run in more traditional PaaS or IaaS environments, apps on serverless platforms bring a unique set of demands around performance, storage and more.  Continue Reading

• Four tips for a successful hybrid cloud POC

  A hybrid cloud proof of concept is an important step to ensure a deployment will fully meet IT and business needs. Mind these best practices around data, networks and more.  Continue Reading

• Five critical tests for cloud application performance, security

  To keep end users happy, dev teams should regularly test the performance and security of cloud-hosted applications. Tools from cloud providers and third-party vendors can help.  Continue Reading

• Cloud-based applications pose tough integration challenges

  Even though SaaS applications are now indispensible to many enterprises, their lack of flexibility still presents a challenge around integration and management.  Continue Reading

• Cloud-native low-code platforms rival third-party options

  To choose between native and third-party low-code tools, application development teams need to weigh the benefits of consolidation against the risk of lock-in.  Continue Reading

• IaaS and PaaS blurred lines increase lock-in risks

  There are three distinct cloud service categories: IaaS, PaaS and SaaS. However, IaaS and PaaS are getting a little too close, and you need to be aware of vendor lock-in risks.  Continue Reading

• Get started with Red Hat OpenShift Container Platform

  Despite its benefits, Red Hat OpenShift is just one technology amid a growing list intended to simplify container management and deployment for development and ops teams.  Continue Reading

• Cloud application performance hinges on a solid testing plan

  When you neglect quality control testing, cloud app performance can suffer. Explore specific types of tests to run and tools that can guide the process.  Continue Reading

• Azure Machine Learning services ease data science struggles

  With Azure machine learning services, such as Workbench, Experimentation and Model Management, Microsoft hopes to address common data science challenges in the enterprise.  Continue Reading

• Manage app dependencies carefully for serverless platforms

  Application dependencies are tough to manage in serverless computing. Developers need to take specific steps, including the establishment of a well-defined CI/CD process, to cope.  Continue Reading

• Review chatbot development options in public cloud

  As users look to interact with applications via more natural language and text, chatbots become increasingly popular. And many developers turn to the public cloud to create them.  Continue Reading

• Mitigate low-code/no-code platform security risks

  While you can't entirely avoid the security risks of low-code and no-code platforms, you can mitigate them. Here's a look at the top vulnerabilities and how to combat them.  Continue Reading

• Big data in cloud computing demands an IT skill set change

  Enterprises continue to shift big data workloads to the cloud. And while the move doesn't require a total overhaul of IT skills, it does demand some change for admin and dev teams.  Continue Reading

• BPM market advances around AI, cloud technology

  As AI, microservices and other emerging technologies transform the BPM industry, enterprises need to carefully navigate their business processes to the cloud to avoid GRC risks.  Continue Reading

• Azure App Service Isolated boosts security and PaaS performance

  Aimed at organizations with unique security needs, Azure App Service Environment v2 lets applications run in a dedicated network without sacrificing scale or performance.  Continue Reading

• Get a head start with IBM Bluemix tutorial

  Take the time to properly configure your environment with help from this IBM Bluemix tutorial in order to properly get started with cloud frameworks and application services.  Continue Reading

• Choose the right APIs and apps for serverless infrastructure

  While serverless platforms can reduce both infrastructure complexity and cost, they might not be your best bet for monolithic or multi-cloud apps.  Continue Reading

• Choose cloud integration tools based on application model

  An application's architecture greatly affects its integration abilities. Review three popular cloud app models, potential integration challenges and tools that can help.  Continue Reading

• Compare machine vs. deep learning services in the cloud

  Machine learning and deep learning increasingly make their way into the enterprise. Assess which AI technology is right for you, and the public cloud services that support them.  Continue Reading

• Create action items with a predictive cloud analytic project

  Expert Tom Nolle discusses how using a predictive cloud analytic project can help with future -- and current -- cloud computing performance and management issues.  Continue Reading

• Three warning signs serverless computing isn't right for you

  Serverless technology is more accessible to enterprises through public cloud providers, but just because it's available, doesn't mean you should use it.  Continue Reading

• What to know about cloud-native application development

  Developing an app should be about figuring out the what, where and why, not the how. Cloud-native app development combined with API-first development answers these questions.  Continue Reading

• Fortify a DR strategy with automated failover in multi-cloud

  Disasters happen, but they don't have to bring business to a halt. With the right mix of tools and testing strategies, active-active failover in multi-cloud keeps things running.  Continue Reading

• Navigate your options for public cloud database services

  Your choice of a cloud database, data warehouse or data lake depends on the structure of your data and your analysis needs. Follow these guidelines to know which to choose.  Continue Reading

• Use cloud efficiently in a predictive analytics project

  Learn how using cloud computing for a predictive analytics project can help with streamlining workflow, application scaling and deployment. Expert Tom Nolle explains.  Continue Reading

• Consider new PaaS model for appmod, digital transformation

  A new PaaS model offers a wider range of OS and middleware choices. Developers need to understand how this model can support their appmod and digital transformation plans.  Continue Reading

• Real-time vs. near-real-time analytics -- how to choose

  Data is king, but what happens when the data isn't truly real-time? Expert Tom Nolle explains the cloud platform choices when it comes to 'real-time' analytics.  Continue Reading

• API prices create cloud billing shock for some enterprises

  Cloud costs can sneak up on you, including charges for APIs in public cloud. Compare API prices for serverless options to prevent any surprises.  Continue Reading

• Why it's time to implement secure API best practices

  APIs are everywhere, and that's just one reason they're so difficult to keep secure. Expert Tom Nolle outlines a detailed, multipart security strategy.  Continue Reading

• The state of upcoming cloud-based PaaS offerings in 2017

  The promise of platform as a service is strong but so is the competition. Here's a look at what the major players are offering in this increasingly key app dev area.  Continue Reading

• Build a continuous delivery pipeline with Azure App Service

  Enterprises often look to accelerate cloud app deployment, and continuous delivery can enable that. Learn how to build a delivery pipeline using Azure App Service.  Continue Reading

• How to reduce technical debt using enterprise architecture

  Find out how to reduce technical debt by mapping business and user requirements in an enterprise architecture. The results will cut the costs of finding and fixing software defects in production software.  Continue Reading

• No-code/low-code project management best practices

  Before setting your no-code/low-code product into motion, you must prepare your organization. Expert Zach Flower discusses the importance of collaboration and communication.  Continue Reading

• Navigate blockchain services in the public cloud

  AWS, Azure and Google have entered the world of blockchain. See how this new technology could play a role in your business and learn the deployment challenges in public cloud.  Continue Reading

• The power of no-code/low-code platforms

  As developers are using no-code/low-code platforms more often, it makes sense that options are expanding. Expert Zachary Flower discusses the latest tools.  Continue Reading

• Misconceptions about applying ALM to cloud app development processes

  What's hampering your cloud ALM efforts? Find out how three ALM myths can affect cloud app development and management.  Continue Reading

• Techniques for optimizing microservice performance in the cloud

  Learn how to prevent bottlenecks, create efficient deployment and avoid security issues to ensure optimal microservice performance in the cloud.  Continue Reading

• Scale resources automatically with Azure Virtual Machine Scale Sets

  Scalability is an attractive capability of cloud computing that reels in enterprises of all sizes. Learn how Virtual Machine Scale Sets in Azure can help you achieve that benefit.  Continue Reading

• The best enterprise use cases for mobile backend as a service

  Mobile development is tricky and harder still when trying to integrate it with an enterprise platform. MBaaS has the potential to simplify things. Expert Tom Nolle explains.  Continue Reading

• Cloud engineering jobs demand mix of technical, business skills

  Cloud computing has become the norm for many enterprises -- and the IT job market reflects that. Learn what it takes to be a cloud engineer, and the skill set you need to succeed.  Continue Reading

• Build an effective API management system for multicloud

  APIs play a critical role in cloud, allowing apps and services to communicate with each other. But with multiple cloud providers in the mix, API management gets complicated.  Continue Reading

• Get faster Azure T-SQL queries using the new database query editor

  Microsoft has recently added a SQL Database Query editor to its Azure cloud service. Expert Michael Otey walks you through the new T-SQL development process step-by-step.  Continue Reading

• Get started with the Azure API Management service

  APIs are vital to open the communication lines between cloud apps, and proper management of those APIs is also critical. Learn how Azure's API service can kick start that process.  Continue Reading

• Get creative and use the cloud for faster software development

  From low-code/no-code to containers and microservices, expert Tom Nolle outlines how the cloud can dramatically shorten the software development process.  Continue Reading

• .NET programmers, it's time to look to the Azure IoT Hub for help

  Mixing Java and other platforms with .NET can help when building IoT applications. In fact, expert Tom Nolle explains why Azure is a great place to begin.  Continue Reading

• Build cloud web services with microservices

  Building cloud web services with microservices provides benefits, such as scalability, and allows enterprise apps to access new features and tools. Follow these steps for success.  Continue Reading

• The what, why and how of the TOSCA cloud standard

  As the acceptance of DevOps rises, the TOSCA standard has become a popular option for cloud application deployment. Here's a closer look at how it works.  Continue Reading

• Build cloud computing APIs for app portability

  Well-designed APIs are key for cloud platform portability. And documentation, release stability and security also all play roles in maintaining a cloud API.  Continue Reading

• Things to consider before extending .NET cloud development

  In order to ensure the supporting role of .NET in development and deployment either enforce .NET middleware use on all developments or adopt component integration strategy.  Continue Reading