Remove Architecture Remove Cache Remove Presentation
article thumbnail

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume of containers. The original assumptions and architectural choices were no longer viable. The cache is kept in sync with the current leader process.

Cache 235
article thumbnail

Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness. First and foremost, we have successfully alleviated our initial scalability problem with the polling based architecture. OK, Results?

Storage 300
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Kubernetes in the wild report 2023

Dynatrace

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

article thumbnail

Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Today, we’re excited to present the Distributed Counter Abstraction. In this context, they refer to a count very close to accurate, presented with minimal delays. Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached.

Latency 253
article thumbnail

Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 260
article thumbnail

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 215
article thumbnail

Data ingestion pipeline with Operation Management

The Netflix TechBlog

But we cannot search or present low latency retrievals from files Etc. The solution which we present in this blog is not limited to annotations and can be used for any other domain which uses ES and Cassandra as well. Marken Architecture Marken’s architecture diagram is as follows. This is obviously very expensive.

Media 275