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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. Scale automatically based on the demand and traffic patterns.

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Easy SLA and SLO reporting for all your API endpoints with public synthetic HTTP monitors

Dynatrace

Dynatrace Synthetic Monitoring helps you quickly verify if your application is delivering the expected end user experience by offering an outside-in view of all your applications and services, independent of real traffic. Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N.

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Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. The organization needed to ensure the correlation of all events in a complete end-to-end trace. However, they had numerous custom applications with separate APIs.

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The Best Way to Host MongoDB on DigitalOcean

Scalegrid

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB.

Azure 187
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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. Most importantly, this information does not only cover the server side, but, thanks to RUM, also the client side and events in the browser.

Metrics 171
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MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

Application traffic will be redirected to this new master MySQL node and the slave S2 will start replicating from the new master. Thus, we see that the MySQL HA framework handles split-brain scenarios effectively, ensuring both data consistency and availability in the event the network connectivity breaks between master and slave nodes.