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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Networking.

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Lessons learned from enterprise service-level objective management

Dynatrace

Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality.

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Kubernetes: Challenges for observability platforms

Dynatrace

When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster. They can help you find out how the behavior of a system changes over time (for example, how long do requests take in the new version compared to the last version?).

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What is a Distributed Storage System

Scalegrid

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases.

Metrics 171
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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems.

Cloud 130
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Azure Virtual Machines for SQL Server Usage

SQL Performance

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72