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Cloud

A Recipe to Migrate and Scale Monoliths in the Cloud

In this article, I want to present a simple cloud architecture that can allow an organization to take monolithic applications to the cloud incrementally without a dramatic change in the architecture. We will discuss the minimal requirements and basic components to take advantage of the scalability of the cloud.

Luciano Mammino
on May 13, 2022
DevOps

Using the Plan-Do-Check-Act Framework to Produce Performant and Highly Available Systems

The PDCA (plan-do-check-act) framework can be used to outline the performance, availability, and monitoring to enable teams to ensure performant and highly available applications. These include infrastructure design and setup, application architecture and design, coding, performance testing, and application monitoring.

Kulkarni Girish
on Jun 09, 2021
Development

Donkey: a Highly-Performant HTTP Stack for Clojure

Donkey is the product of the quest for a highly performant Clojure HTTP stack aimed to scale at the rapid pace of growth we have been experiencing at AppsFlyer, and save us computing costs. In this article, we’ll briefly outline the use-case for a library like Donkey and present our benchmarks. Finally, we will discuss Clojure and immutability, and some of our design decisions.

Yaron Elyashiv
on Jan 12, 2021
Cloud

Four Techniques Serverless Platforms Use to Balance Performance and Cost

There are two aspects that have been key to the rapid adoption of serverless computing: the performance and the cost model. This article looks at those aspects, the tradeoffs, and opportunity ahead.

Erwin van Eyk
on Feb 13, 2019 1
AI, ML & Data Engineering

Scaling a Distributed Stream Processor in a Containerized Environment

The article presents our experience of scaling a distributed stream processor in Kubernetes. The stream processor should provide support for maintaining the optimal level of parallelism. However, adding more resources incurs additional cost and also it does not guarantee performance improvements. Instead, the stream processor should identify the level of resource requirement and scale accordingly.

Sarangan Janakan Miyuru Dayarathna
on Jan 13, 2019
AI, ML & Data Engineering

Columnar Databases and Vectorization

In this article, author Siddharth Teotia discusses the Dremio database which is based on Apache Arrow with vectorization capabilities.

Siddharth Teotia
on May 27, 2018
DevOps

Six Tips for Running Scalable Workloads on Kubernetes

Tips to ensure Kubernetes knows what is happening with your deployment: where best to schedule it, when is it ready to serve requests and ensuring work is spread across as many nodes as possible.

Joel Speed
on Mar 30, 2018
.NET

Unleashing the Power of .NET Big Memory and Memory Mapped Files

In continuation of the Big Memory topic on the .NET platform, this article describes the benefits of utilization of large data sets in-process on the managed CLR server environments using Agincore’s Big Memory Pile.

Dmitriy Khmaladze
on Jul 12, 2017 16
DevOps

Developing a Secure and Scalable Web Ecosystem at LinkedIn

LinkedIn’s hyper-growth placed strains on the organization’s infrastructure. A new release model was instrumental to scale and led to increased code quality, security, and member satisfaction.

James Baker Mira Thambireddy
on Jun 30, 2017
.NET

On Abstractions and For-Each Performance in C#

Donald Knuth famously said, “We should forget about small efficiencies, say about 97% of the time”. But when faced with the other 3%, it is good to know what’s going on behind the scenes. So in this article we’ll be taking a dive into the foreach loop.

Jonathan Allen
on Sep 29, 2016 2
AI, ML & Data Engineering

Virtual Panel: Current State of NoSQL Databases

NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.

Srini Penchikala
on Aug 02, 2016 2
Development

Graph API in a Large Scale Environment

MyHeritage is a rapidly-growing destination used around the world to discover, preserve and share family histories. There is increasing demand for our services, accessed both internally and externally by our partners via the FamilyGraph API. Millions of API calls are made every day providing a huge challenge in terms of performance, scalability and security.

Maor Cohen
on Feb 13, 2016

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