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Tuning EMQX To Scale to One Million Concurrent Connection on Kubernetes

DZone

When building an IoT-based service, we need to implement a messaging mechanism that transmits data collected by the IoT devices to a hub or a server. When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with.

IoT 305
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

message IdempotencyToken ( Timestamp generation_time, String token ) At Netflix, client-generated monotonic tokens are preferred due to their reliability, especially in environments where network delays could impact server-side token generation. Either or both may be required by backing storage engines to de-duplicate mutations.

Latency 261
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.

Traffic 358
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What is RASP? Why runtime application self-protection is important, and how to do it right

Dynatrace

RASP capabilities aim to close the gap left by application security testing and network perimeter controls such as web application firewalls (WAFs). A centralized approach to WAF uses a single firewall to protect many application servers against large-scale distributed attacks. This reduces false positives in your DevSecOps process.

Tuning 233
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Python at Netflix

The Netflix TechBlog

Open Connect Open Connect is Netflix’s content delivery network (CDN). video streaming) takes place in the Open Connect network. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. If any of this interests you, check out the jobs site or find us at PyCon. are you logged in?

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Private Synthetic Monitoring locations now also supported on Ubuntu 20

Dynatrace

But what if you want to monitor internal applications that aren’t available publicly but are only accessible within your corporate network? You can deploy private Synthetic locations at various points within your company network and then execute monitors from them. Try Dynatrace by starting your free trial today. What’s next.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices.