Azure Scalability Serverless Virtualization 
Dynatrace
AUGUST 25, 2023
Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. To properly monitor Kubernetes clusters and containers, it’s necessary to have access to relevant logs.
Dotcom-Montior
NOVEMBER 11, 2020
Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Benefits of a Serverless Model.
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Dynatrace
NOVEMBER 3, 2022
The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Instead, enterprises manage individual containers on virtual machines (VMs). Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization.
Dynatrace
AUGUST 11, 2022
Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.
ScaleOut Software
JULY 14, 2021
The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.
Dynatrace
OCTOBER 11, 2021
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. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?
Dynatrace
JULY 7, 2022
Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. For example, a virtual machine (VM) can replace containers to design and architect microservices. Serverless platforms.
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