Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. A new Telemetry API as an extension to AWS Lambda for all telemetry signals.

Lambda 233

Lambda Serverless AWS Latency 233

The Morning Paper

AUGUST 29, 2019

There’s a broad set of choices including where you store the data, whether you run your own DBMS nodes or use a service, the kinds of instance types to go for if you do run your own, and so forth. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems.

Architecture 76

Architecture Cloud Storage Serverless 76

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. When an application is triggered, it can cause latency as the application starts. AWS Lambda allows developers to use NodeJS or Python while you can control nearly every detail of a REST API.

Serverless 244

Serverless Efficiency Lambda Azure 244

All Things Distributed

JULY 14, 2015

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. DynamoDB Streams.

Database 167

Database Lambda AWS IoT 167

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

All Things Distributed

APRIL 9, 2015

As I wrote last week machine learning is becoming an increasingly important tool to build advanced data driven applications. Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

All Things Distributed

MARCH 26, 2018

Powering the virtual instances and other resources that make up the AWS Cloud are real physical data centers with AWS servers in them. Each data center is highly reliable, and has redundant power, including UPS and generators. Even though the network design for each data center is massively redundant, interruptions can still occur.

AWS 132

AWS Latency Lambda Architecture 132

IO River

NOVEMBER 2, 2023

Add-on Services - Special services can include capabilities like security features (WAF, Origin Shield), resource capping (rate limiting), image/video optimization, and more.CDN Pricing Examples1) Amazon Cloudfront’s data routing prices are determined according to amount of traffic and region. For example, Lambda@Edge request pricing is $0.6

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

The Morning Paper

MAY 12, 2019

The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. The top line shows the change in tail latency across a set of monolithic applications as operating frequency decreases. Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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. If you want to store time-expiring data that should be shared across application processes, used Memcached or Redis.

Cache 79

Cache Latency Google Lambda 79

IO River

NOVEMBER 2, 2023

For example, Lambda@Edge request pricing is $0.6 Some are standard, offering the basic services you need to ensure traffic routing and low latency, while others offer premium services like advanced security capabilities. For example, the first 10TB to South America cost $0.11.Source: per one million requests.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

All Things Distributed

JUNE 21, 2018

To do this, they need to be able to use multiple databases and data models within the same application. For decades because the only database choice was a relational database, no matter the shape or function of the data in the application, the data was modeled as relational.

Database 167

Database AWS Games Latency 167

Adrian Cockcroft

NOVEMBER 18, 2019

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software

Open Source 40

Open Source AWS Lambda Serverless 40

IO River

NOVEMBER 2, 2023

If you're an iPhone user, you can't plug an Android cable for data transfer. And on top of that, you're doing computation at the edge using Lambda@Edge, where you've deployed thousands of lines of JavaScript code at the edge. These companies often utilize CDNs optimized for low-latency content delivery of the products that they offer.

Lambda 52

Lambda AWS Cache Website 52

O'Reilly

NOVEMBER 12, 2019

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. The chart packs in a lot of data. Serverless requires time and experience to resolve the tooling, data protection, and operational challenges that adopting serverless creates.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Abhishek Tiwari

NOVEMBER 3, 2018

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. Using raw content data (such as Markdown, YAML, JSON files) and templates an SSG engine (such as Jekyll, Hugo, Gatsby, etc.)

Systems 63

Systems Cache Website Network 63

The Morning Paper

NOVEMBER 17, 2019

For example, to reduce latency, serverless platforms try to reuse the same function instance to process multiple requests. However, this behaviour is not transparent and it is easy to write a serverless function that produces incorrect results or leaks confidential data when reused. Lambda operational semantics.

Serverless 58

Serverless Lambda Programming Cache 58

IO River

NOVEMBER 2, 2023

If you're an iPhone user, you can't plug an Android cable for data transfer. For example, think about building an application solely relying on Amazon CloudFront as its CDN.‍And on top of that, you're doing computation at the edge using Lambda@Edge, where you've deployed thousands of lines of JavaScript code at the edge.

Lambda 52

Lambda AWS Cache Website 52