The Netflix TechBlog

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We wanted the to tool be available as a standalone library as well as scalable API service. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. NGINX as an API Gateway. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. Centralized log management for scalable ingestion into Grail As AWS S3 proves to be the preferred way of storing cloud logs, enterprise customers face mounting challenges in putting S3 log data to use. Or explore the recently introduced support for AWS Lambda logs.

AWS 204

AWS Cloud Lambda Analytics 204

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Infrastructure as a service (IaaS) handles compute, storage, and network resources. What is FaaS?

Development 255

Development Serverless Best Practices Lambda 255

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance. Marz, “Big Data Lambda Architecture”.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon Lambda. Details on the AWS Blog. The Amazon Elastic File System.

Lambda 123

Lambda Cloud IoT AWS 123

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Amazon’s enhancements address many day-to-day challenges with running Redis.

Scalability 131

Scalability Analytics Cache AWS 131

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture. Evaluation.

Lambda 98

Lambda Serverless Cache Latency 98

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Scalability is a major feature of GCF. What is Google Cloud Functions?

Google 226

Google Cloud Serverless Azure 226

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

DECEMBER 13, 2016

Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics. Fraud.net uses Amazon Machine Learning to provide more than 20 machine learning models and relies on Amazon DynamoDB and AWS Lambda to run code without provisioning or managing servers.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 138

Cloud Big Data AWS Analytics 138

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. We argue that RInK stores should not be used when implementing scalable data center services. From RInK to LInK.

Cache 79

Cache Latency Google Lambda 79

Abhishek Tiwari

NOVEMBER 3, 2018

Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there. Most of cloud object/blob storage services have native support for static site hosting. JAMstack JAMstack is a new way to build content-heavy websites and web apps.

Systems 63

Systems Cache Website Network 63

IO River

NOVEMBER 2, 2023

Beyond just VM instances, this scalability extends to other aspects of your infrastructure. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach. Different providers have different plugins and configurations.

Open Source 52

Open Source DevOps AWS Azure 52

Enprowess

JANUARY 12, 2022

Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Famous PWA Use Examples. Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59

IO River

NOVEMBER 2, 2023

To scale from 5 to 10 machines, you simply adjust the default value of this variable from 5 to 10 and rerun the Terraform apply command.‍Beyond just VM instances, this scalability extends to other aspects of your infrastructure. Different providers have different plugins and configurations. Migrating isn't as simple as 'copy-paste'.‍Even

Open Source 40

Open Source DevOps AWS Azure 40