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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Minimal disk consumption.

Google 233
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Increase the Performance of your Site with Lazy-Loading and Code-Splitting

Jos

We are explicit about our dependencies, so we know what code we need to run to run a specific component. Lazy-loading and bundle splitting can have a huge impact on page performance: less code requested, parsed, and executed. When you send the user code that is not needed, you waste resources from your end, and from the user’s end.

Code 147
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Increase the Performance of your Site with Lazy-Loading and Code-Splitting

Jos

We are explicit about our dependencies, so we know what code we need to run to run a specific component. Lazy-loading and bundle splitting can have a huge impact on page performance: less code requested, parsed, and executed. When you send the user code that is not needed, you waste resources from your end, and from the user’s end.

Code 130
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Rift Between Junior and Senior Developers

O'Reilly

” Junior developers are trained to think that if the code solves the problem, the job is finished. We no longer need to spend loads of time training developers; we can train them to be “prompt engineers” (which makes me think of developers who arrive on time), and they will ask the AI for the code, and it will deliver.

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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol. Our protobuf message definition (.proto link] When the protobuf compiler (protoc) compiles this message definition, it creates the code in the language of your choice (Java in our example).

Design 246
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability. According to other comparisons [Google for 'Performance of Programming Languages'] spread over the net, they clearly outshine others in all speed benchmarks.

Java 214
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

We want users to rely on shared templates and reuse their workflow definitions across their team, saving time and effort on creating the same functionality. Maestro high level architecture In Maestro, a workflow is a DAG (Directed acyclic graph) of individual units of job definition called Steps.

Java 208