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Dynatrace SaaS on Azure now Generally Available

Dynatrace

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

Azure 325
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Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

Dynatrace

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news. Self-contained turnkey solution.

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Dynatrace Managed now available on all major cloud platforms

Dynatrace

Dynatrace Managed now available on the Google Cloud Platform. Since each node should have the same hardware configuration, you only need to do this once as it will then be applied to each and every node. For more details, see Dynatrace Managed hardware and systems requirements.

Cloud 264
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum Advantages.

Big Data 321
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult.

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Building Resiliency With Effective Error Management

DZone

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. Redundancy in power, network, cooling systems, and possibly everything else relevant.

Hardware 243
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing. What is RabbitMQ?

Latency 147