article thumbnail

Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. The Akamas approach. below 500ms) and error rates (e.g.

Latency 210
article thumbnail

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Higher latency and cold start issues due to the initialization time of the functions.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Achieving observability in async workflows

The Netflix TechBlog

It also needs to handle third-party integration with Google Drive, making copies of PDFs with watermarks specific to each recipient, adding password protection, creating revocable links, generating thumbnails, and sending emails and push notifications. Early prototypes and load tests validated that the offering could meet our needs.

Traffic 160
article thumbnail

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

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. When an application is triggered, it can cause latency as the application starts. This creates latency when they need to restart.

article thumbnail

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. How Bulldozer leverages Spark, Protobuf and KV DAL for moving the data.

Latency 243
article thumbnail

Snap: a microkernel approach to host networking

The Morning Paper

This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. Enter Google! Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. SOSP’19. Emphasis mine).

Network 92
article thumbnail

Software-defined far memory in warehouse scale computers

The Morning Paper

This makes memory a critical factor in the total cost of ownership (TCO) of large compute clusters, or as Google like to call them “Warehouse-scale computers (WSCs).” ” This paper describes a “far memory” system that has been in production deployment at Google since 2016. Enter zswap!