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

MAY 6, 2021

Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. Fixed an issue in which database conditions in tagging and management zone configurations were evaluated incorrectly. Consumption and storage now returned correctly when using Environment API with paging.

Operating System 232

Operating System AWS Metrics Storage 232

Dynatrace

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js

Open Source 345

Open Source Java Operating System Programming 345

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Advantages for MongoDB.

Azure 187

Azure AWS Latency Database 187

Dynatrace

APRIL 21, 2022

You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The default values cover a large range of different cluster sizes; you can modify them according to your needs, based on the ActiveGate self-monitoring metrics.

Azure 218

Azure Metrics AWS Monitoring 218

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

Google 224

Google Cloud Serverless Azure 224

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

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. Logs can also be used to represent event data.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. For storage, FIO is generally used. Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 41

Database Tuning Performance AWS 41

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. 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.

Lambda 189

Lambda Media Open Source Metrics 189

The Morning Paper

FEBRUARY 6, 2020

The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated. Only now the database is itself a distributed KVS, and the slices of application functionality are much finer-grained. Evaluation. A closing thought.

Lambda 98

Lambda Serverless Cache Latency 98

The Netflix TechBlog

MAY 21, 2019

Lerner, as a web-service, relies on Amazon Web Services (AWS) and Netflix’s Open Source Software (OSS) tools. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data.

Testing 163

Testing AWS Lambda Network 163

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier. It will be available in other AWS Regions in the coming months.

Cloud 117

Cloud Cache AWS Storage 117

SQL Performance

JANUARY 22, 2020

By their very definition, table-valued parameters are strongly-typed to a user-defined table type that must exist within the database where the call is being made. Where this really can make a difference is in cloud implementations where you are paying for more than just compute and storage resources.

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. Database & functional migration. Step 4: Smart Database Migration. Which applications and services are depending on a database that might be impacted by a migration?

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. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

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. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 53

Latency Engineering Systems Hardware 53

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 167

Scalability Database Ecommerce Latency 167

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

All Things Distributed

APRIL 9, 2015

Details on the AWS Blog. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

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 103

Performance Cache Metrics Network 103

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 214

Media Storage Processing Cache 214

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52