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For many companies, the journey to modern cloud applications starts with serverless. Since apps are hosted as interconnected functions in the cloud they’re naturally redundant and less prone to unexpected failure. Lambda functions can be written in the language of your choice, and the service also supports container tools.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
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In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.
VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. Pay Per Use.
In the past, setting up all the hosts, clusters, and demo applications was a manual process that was very time consuming and error-prone. All the infrastructure to run the applications used for the sessions were created using CloudFormation and Lambda. This was helpful and allowed us to have a seamless rollout leading up to the event.
Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Unlike a traditional IT model, however, cloud providers own and manage these resources. Some organizations prefer a serverless approach. Reduced latency.
Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Read on below to explore all the benefits of Dynatrace monitoring by examining our demo Azure Functions application. AI-powered observability and end-to-end tracing of serverless applications.
Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Read on below to explore all the benefits of Dynatrace monitoring by examining our demo Azure Functions application. AI-powered observability and end-to-end tracing of serverless applications.
But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.
It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the the industry and Lambda platform both have moved forward a long way since. This year’s re:Invent saw a lot of incremental improvements for Lambda and its related services. We saw some big new products and features from Lambda’s AWS neighbors.
OPN220 Build robotic cloud simulations with ROS and AWS RoboMaker Join Camilo Buscaron, AWS Principal Open Source Technologist, and Katherine Scott, Developer Advocate, Open Robotics in this workshop to use Gazebo, a 3D simulator, and Robot Operating System (ROS) on AWS RoboMaker and learn how to spin up robotic simulations.
OPN220 Build robotic cloud simulations with ROS and AWS RoboMaker Join Camilo Buscaron, AWS Principal Open Source Technologist, and Katherine Scott, Developer Advocate, Open Robotics in this workshop to use Gazebo, a 3D simulator, and Robot Operating System (ROS) on AWS RoboMaker and learn how to spin up robotic simulations.
Delivering a solution to users through software as a service (Saas) often entails making use of cloud providers to host and deliver your entire infrastructure, usually comprising a back end and a front-end client. To offset the charges incurred from your cloud providers, a proper billing model for your users is needed in certain cases.
Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines. There is hardly any innovation from traditional CMS vendors.
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