The Morning Paper

AUGUST 29, 2019

If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? 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. VLDB’19.

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 243

Serverless Efficiency Lambda Azure 243

All Things Distributed

MARCH 26, 2018

At AWS, we don't mark many anniversaries. A concept that has changed infrastructure architecture is now at the core of both AWS and customer reliability and operations. Powering the virtual instances and other resources that make up the AWS Cloud are real physical data centers with AWS servers in them.

AWS 132

AWS Latency Lambda Architecture 132

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.

Database 167

Database Lambda AWS IoT 167

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

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

Adrian Cockcroft

NOVEMBER 18, 2019

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN205-R Contributing to the AWS Construct Library (repeats) Using and loving the AWS Cloud Development Kit and want to help make it better? Alejandra Olvera-Novack?—?AWS

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN205-R Contributing to the AWS Construct Library (repeats) Using and loving the AWS Cloud Development Kit and want to help make it better? Alejandra Olvera-Novack?—?AWS

Open Source 40

Open Source AWS Lambda Serverless 40

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

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. The opposite is true.

Database 167

Database AWS Games Latency 167

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

IO River

NOVEMBER 2, 2023

‍Think of a situation where you're asked to build a service in AWS that distributes static content to your users. Your first option is to use its native CDN - Amazon CloudFront, as it seamlessly integrates with all of your other AWS Services that you're using to build your service.‍For What is vendor lock-in?‍Think

Lambda 52

Lambda AWS Cache Website 52

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

Think of a situation where you're asked to build a service in AWS that distributes static content to your users. Later on, your service might require security, and you might use AWS Web Application Firewall, which directly integrates with Amazon CloudFront to help secure your service. What is vendor lock-in?‍Think

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

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