How to Build a Distributed Load Testing Infrastructure with AWS, Docker, and JMeter

DZone

Before we get into the tutorial hands-on, I would like to mention that this topic is not new. It has been covered in various helpful articles like the ones from TestAutomationGuru.

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Mapping micro-services interactions, entities from real time infrastructure, and ML infrastructure and other non traditional data stores are few such examples.

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Scaling Infrastructure Management with Grail

Uber Engineering

To build and maintain infrastructure at scale, easy access to the current state of the system is paramount. As Uber’s business continues to expand, our infrastructure has grown in size and complexity, making it more difficult to get all the … The post Scaling Infrastructure Management with Grail appeared first on Uber Engineering Blog.

The Importance of Validating the Testing Infrastructure

Abstracta

The post The Importance of Validating the Testing Infrastructure appeared first on Abstracta Software Testing Services. Performance Engineering Software Testing Performance Performance Testing test infrastructure

Components of Effective Software Monitoring: App Logs, Infrastructure Telemetry, Health-Check Reports

DZone

At Logicify , we are proud to be software monitoring geeks. We love to monitor both the apps we develop and the ones we use internally. Not because they are sloppy. Not because we don’t trust our code.

Update to Chrome 73 and infrastructure upgrade

Dareboost

It will include an update to Chrome 73, a revised access management policy for detailed reports and a technical architecture revamped to meet the growing needs of our … Continue reading Update to Chrome 73 and infrastructure upgrade → Service UpdatesAfter several months of intensive work (and a new coffee machine), we are pleased to announce the next update of our service: June 13th (03:00 AM UTC).

ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud

Scalegrid

Over the years, migrating data to the cloud has become a top priority for organizations looking to modernize their infrastructure for improved security, performance, and agility, closely followed by the trending shift from commercial database management systems to open source databases.

Cloud 180

Intro to Redis Cluster Sharding – Advantages, Limitations, Deploying & Client Connections

High Scalability

Redis Cluster is the native sharding implementation available within Redis that allows you to automatically distribute your data across multiple nodes without having to rely on external tools and utilities. At ScaleGrid, we recently added support for Redis Clusters on our platform through our fully managed Redis hosting plans.

Cache 188

2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combinations & Top Reasons Used

High Scalability

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines. So what makes PostgreSQL so special, and how is it being used today?

MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II.

Self-Host Your Static Assets

CSS Wizardry

One of the quickest wins—and one of the first things I recommend my clients do—to make websites faster can at first seem counter-intuitive: you should self-host all of your static assets, forgoing others’ CDNs/infrastructure.

Cache 284

Less is More: Engineering Data Warehouse Efficiency with Minimalist Design

Uber Engineering

Architecture Uber Data Big Data Data Engineering Data Infrastructure data science Data Warehouse Engineering EfficiencyMaintaining Uber’s large-scale data warehouse comes with an operational cost in terms of ETL functions and storage.

2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

Scalegrid

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. Now, let’s take a look at the cloud infrastructure setup breakdown by database management systems. So, which cloud infrastructure is right for you? Average Number of Database Types Used by Infrastructure.

M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus

Uber Engineering

As part of our robust and scalable metrics infrastructure, we built … The post M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus appeared first on Uber Engineering Blog. Architecture Open Source Grafana Infrastructure M3 M3 Coordinator M3DB Metrics Platform OSS Prometheus Uber Infrastructure

Employing QUIC Protocol to Optimize Uber’s App Performance

Uber Engineering

Architecture Mobile bufferbloat Cronet HTTP/2 HTTP/3 Infrastructure Internet Engineering Task Force mobile engineering QUIC retransmission timeout Transmission Control Protocol Uber MobileUber operates on a global scale across more than 600 cities, with our apps relying entirely on wireless connectivity from over 4,500 mobile carriers.

From bare-metal to Kubernetes

High Scalability

Early infrastructure. Hardware infrastructure. This is a guest post by Hugues Alary , Lead Engineer at Betabrand , a retail clothing company and crowdfunding platform, based in San Francisco. This article was originally published here. Rackspace.

Retail 264

Databook: Turning Big Data into Knowledge with Metadata at Uber

Uber Engineering

Architecture Uber Data Cassandra Data Management Data Storage Data Warehouse Databook Dropwizard Gradle HDFS HIVE Infrastructure Kafka Metadata MySQL Postgres Quartz Queryparser RESTful API Uber Uber Data Knowledge Uber Engineering VerticaFrom driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data.

Scaling Uber’s Apache Hadoop Distributed File System for Growth

Uber Engineering

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis. Architecture Apache Hadoop Big Data Big Data Analysis Garbage Collection Hadoop Hadoop Distributed File System Hadoop Infra & Analytics Team HBase HDFS HDFS Federation HIVE Hoodie Infrastructure JAR Jenkins NameNode PRC Puppet Router-based Federation Uber Uber Data Foundation Team Uber Engineering View File System WebHDFS YARN

Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail

Uber Engineering

Architecture Culture Aarhus Aarhus University Denmark Grail Infrastructure Lau Skorstengaard Ph.D. Lau Skorstengaard is a Ph.D. student at Aarhus University who pursued a 2018 internship with Uber Engineering’s Aarhus, Denmark office.

Introducing QALM, Uber’s QoS Load Management Framework

Uber Engineering

Architecture CoDel CPU critical request Goroutine graceful degradation Infrastructure Jaeger load management load shedding Memory overload detector QALM QoS Quality of Service ridesharing RPC layer Uber for Business Uber Freight UberFx YARPCMuch of Uber’s business involves connecting people with people, making the reliability of our customer platform crucial to our success. The customer platform supports everything from ridesharing and Uber Eats , to Uber Freight and Uber for Business.

Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore

Uber Engineering

Architecture Data Store Datastore Design Flask Frontless Go Golang Goroutine Infra Infrastructure Mezzanine NGINX Python Schemaless Sharding Uber Uber Engineering uWSGIIn 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company. For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone.

Expanding the Cloud - Introducing AWS OpsWorks, a Powerful.

All Things Distributed

Today Amazon Web Services launched AWS OpsWorks , a flexible application management solution with automation tools that enable you to model and control your applications and their supporting infrastructure. All Things Distributed.

AWS 95

Auth0 Architecture: Running In Multiple Cloud Providers And Regions

High Scalability

We designed Auth0 from the beginning so that it could run anywhere: on our cloud, on your cloud, or even on your own private infrastructure. We doubled-down decided to use a single cloud provider for each of our environments and moved all our public cloud infrastructure to AWS.

The Netflix OSS Cloud Prize - All Things Distributed

All Things Distributed

At AWS we are very proud to be their infrastructure partner and every day we learn from how they use our cloud services. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. The Netflix OSS Cloud Prize. By Werner Vogels on 20 March 2013 05:00 PM.

Cloud 70

How ShiftLeft Uses PostgreSQL Extension TimescaleDB

High Scalability

This article is written by Preetam Jinka , Senior Infrastructure Engineer at ShiftLeft. This post describes the requirements that we have to work with, how we use TimescaleDB to store and retrieve time series data, and the tooling we’ve developed to manage our infrastructure.

Time to First Byte: What It Is and Why It Matters

CSS Wizardry

DDoS or heavy load: In a similar vein to the previous point, increased load with no way of auto-scaling your application will lead to degraded performance where you begin to probe the limits of your infrastructure.

2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

High Scalability

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Or, considering adding a new database to your application and want to see which combinations are most popular?

Python at Netflix

The Netflix TechBlog

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.

Introducing the Dynatrace SAP ABAP platform monitoring extension (EAP)

Dynatrace

We’re proud to announce the Early Access Program (EAP) for monitoring of SAP ABAP performance from the infrastructure and ABAP application platform perspective. Vertical infrastructure dependencies characterize how SAP depends on virtual and physical infrastructure performance.

Making Cloud.typography Fast(er)

CSS Wizardry

They wouldn’t have had to make any platform or infrastructure changes on their side. Disclaimers: I was not approached or hired by Hoefler&Co or Cloud.typography to look into any of the following issues.

Simplifying IT - Create Your Application with AWS CloudFormation.

All Things Distributed

Often an application requires several infrastructure resources to be created and AWS CloudFormation helps customers create and manage these collections of AWS resources in a simple and predictable way. Wordpress is just one of the many ready-to-run Templates that are available and that demonstrate how easy it is to get infrastructure for your application up and running. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems.

AWS 60

Dynatrace introduces support for Microsoft Azure Lighthouse to provide manageability at scale

Dynatrace

Dynatrace is a software intelligence platform that combines application performance management, cloud infrastructure monitoring, AIOps, and digital experience management for the enterprise cloud. Dynatrace news.

Azure 207

Optimizing the mainframe to reduce MIPs and MSUs: A Partner perspective

Dynatrace

Dynatrace automatically discovers, maps, and monitors every component of the full-stack; from the application, then underlying infrastructure and the end-to-end customer experience. Dynatrace news.

Stuff The Internet Says On Scalability For March 8th, 2019

High Scalability

All of the heavy-lifting infrastructure was already in place for it. We didn't have to build any of that heavy infrastructure. Wake up! It's HighScalability time: A highly simplified diagram of serverless. ( @jbesw ). Do you like this sort of Stuff?

Fostering a Web Performance Culture

José M. Pérez

It will be easier to get support for infrastructure or services if several teams have the same needs. Web Performance is not only about understanding what makes a site fast. It’s about creating awareness amongst both developers and non-developers.

Evolution of Netflix Conductor:

The Netflix TechBlog

Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. Netflix Conductor is maintained by the Media Workflow Infrastructure team.

Lambda 210

Advancing Application Performance with NVMe Storage, Part 3

DZone

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. NVMe Storage Use Cases.

Unleash the power of the Dynatrace Markdown Dashboard Tile

Dynatrace

With them having access to Dynatrace they could get an overview of our infrastructure as well as be alerted of issues as Dynatrace detects them. Dynatrace news. Dynatrace Dashboards are constantly updated with new capabilities.

DevOps 272

Integrating Dynatrace ONE through Chat at NYCM

Dynatrace

How can you be a full-time IT Systems Engineer taking care of enterprise infrastructure while also being responsible for enterprise monitoring from an administrative and monitoring as a service perspective? Dynatrace news.

Mobile 151

Optimizing Application Performance and User Experience With NETSCOUT for Azure

DZone

In the era of Digital Transformation (DX) the IT landscape has expanded to environments that rely extensively on virtualization, hyper-converged infrastructure (HCI), and cloud computing. As a result, the number of servers and the quantity of traffic have been exploding exponentially.

Azure 130

Best practices for alerting

Dynatrace

They gather information infrastructure data such as CPU, memory and log files. It doesn’t apply to infrastructure metrics such as CPU or memory. Dynatrace news. Use the Artificial Intelligence”, it is not a Jedi Trick. Old School monitoring.

Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

We’re looking for ML engineers to help us push the boundary of containers performance and “machine learning for systems” and systems engineers for our core infrastructure and compute platform.

Cache 275