Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. NGINX as an API Gateway. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

JUNE 26, 2020

Dynatrace Synthetic Monitoring helps you quickly verify if your application is delivering the expected end user experience by offering an outside-in view of all your applications and services, independent of real traffic. Virginia (AWS) ?, California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?,

Monitoring 259

Monitoring Azure AWS Traffic 259

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target.

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Netflix TechBlog

JULY 30, 2019

Our cluster size ranges from 12–18 instances of AWS EC2 m4.4xlarge instances, typically running at ~30% capacity. *?—?Cassandra Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. Cassandra persistence module is a partial implementation.

Lambda 189

Lambda Media Open Source Metrics 189

The Netflix TechBlog

OCTOBER 15, 2019

Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. No need to acquire locks on tables, which is essential to ensure that the write traffic on the database is never blocked by our service. High availability, via standby instances across AWS Availability Zones.

Transportation 192

Transportation Architecture Processing Storage 192

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments. This format could be coded as a Prometheus Exporter.

Energy 52

Energy Metrics Cloud Operating System 52

All Things Distributed

JUNE 21, 2018

In fact, this is been proven by our customers as Amazon Aurora remains the fastest growing service in AWS history. This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. The opposite is true. Take Expedia, for example.

Database 167

Database AWS Games Latency 167

Adrian Cockcroft

APRIL 18, 2018

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. History of NoSQL at Amazon â??

Scalability 167

Scalability Database Ecommerce Latency 167

SQL Performance

JANUARY 22, 2020

Where this really can make a difference is in cloud implementations where you are paying for more than just compute and storage resources. Reducing the buffers going across the wire will lower the TCO for the solution over time, and the code changes required to implement this savings are relatively simple.

Servers 55

Servers Azure Hardware Network 55

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Resource consumption & traffic analysis. What is the network traffic going to be between services we migrate and those that have to stay in the current data center?

Cloud 31

Cloud Traffic Database Network 31

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. This is why most AWS regions have three availability zones. Try to measure your mean time to respond (MTTR) for incidents.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. This is why most AWS regions have three availability zones. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics Performance culture, Core Web Vitals, performance profiles, CrUX, Lighthouse, FID, TTI, CLS, devices. Getting Ready: Planning And Metrics. DOM complete, time to first byte, first input delay, client CPU and memory usage. Get a free trial of LogRocket today.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 104

Performance Cache Network Metrics 104