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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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Kubernetes in the wild report 2023

Dynatrace

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies.

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52
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OneAgent release notes version 1.241

Dynatrace

Added Azure Functions Consumption Plan tracing for.NET. Added AWS Lambda Functions tracing for.NET. Added deeper insight into IBM DB2 database calls by fetching the full SQL statements from the DB2 catalog. Operating systems. Future Dynatrace OneAgent operating systems support changes. Serverless.

Java 159
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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. Additionally, typical SOA models use larger relational databases. This helps to keep individual services more lightweight.

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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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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 175