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Kubernetes: Challenges for observability platforms

Dynatrace

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Cloud provider/infrastructure layer. Additionally, problems can be caused by changes in the cloud infrastructure.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Without further ado, let’s start with the OS settings.

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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems.

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How to overcome the cloud observability wall

Dynatrace

Let’s explore this concept as we look at the best practices and solutions you should keep in mind to overcome the wall and keep up with today’s fast-paced and intricate cloud landscape. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 227
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Everything as Code

Dynatrace

And, this is even more apparent due to the ever-increasing infrastructure complexity enterprises are dealing with. Treating these different processes as code will ensure that best practices are followed. On-demand infrastructure: The ability to deploy infrastructure whenever it’s required.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

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. VMs require their own operating system and take up additional resources. Service mesh. Real user monitoring (RUM). Auto-discovery.

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Firecracker: lightweight virtualization for serverless applications

The Morning Paper

Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. This tradeoff is unacceptable to public infrastructure providers, who need both strong security and minimal overhead. The first version of AWS Lambda was built using Linux containers.