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

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Testsigma

JULY 3, 2021

If you’ve been performing on-premise testing in your organization, you know the rules already. But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. On-premise testing comes with a lot of responsibility.

Cloud 57

Cloud Testing Storage DevOps 57

The Netflix TechBlog

MAY 21, 2019

using RL agents for test case scheduling By: Stanislav Kirdey , Kevin Cureton , Scott Rick , Sankar Ramanathan Introduction Netflix brings delightful customer experiences to homes on a variety of devices that continues to grow each day. Detect a regression in a test case. These problems could be solved in several different ways.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Automation at scale.

Innovation 197

Innovation Software Software Cloud 197

Dynatrace

APRIL 26, 2022

It is proactive monitoring that simulates traffic with established test variables, including location, browser, network, and device type. EM gives visibility into the user device and performance from the endpoint to provide information on CPU, memory, operating systems, storage, security, networks, and whether software is up to date.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification. Data analytics. Take a trial test at Linux Academy if it’s applicable to the cert you have in mind. The top AWS certification options.

AWS 209

AWS Best Practices Analytics Cloud 209

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 104

Performance Monitoring Traffic Database 104

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved. What is test data?

Testing 60

Testing Storage Database Processing 60

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. What is PostgreSQL used for?

Open Source 78

Open Source Healthcare Social Media Database 78

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 247

AWS Efficiency Azure Cloud 247

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. We have tested PMM version 2.33.0 Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.

Monitoring 98

Monitoring Scalability Cache Database 98

Testsigma

FEBRUARY 13, 2021

Mobile applications, therefore, need to be built and tested with this difference in consideration. Following are a few things to consider when testing a mobile application : 1. Test on different screen sizes: Mobile devices are available in different screen sizes.

Mobile 52

Mobile Testing Network Analytics 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). 3 Log Analytics. Full-stack observability. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. Storage optimized – High disk throughput and IO. Premium storage support. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

The Netflix TechBlog

JULY 30, 2019

This allows us to proactively push changes to the open source version while ensuring that the changes are fully functional and well-tested. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

NOVEMBER 17, 2020

With these release candidate APIs available, instrumentation for web frameworks, storage clients, and much more can be built. As a maintainer of the JS SIG, it’s my job to oversee contributions to the JS API and SDK implementations and ensure they are compliant with the specification, well tested, and high quality.

Open Source 152

Open Source Software Engineering Government Java 152

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. It is always being tested and updated, providing for optimized performance and minimal failures. Supported Engines.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Session Replay – Record user sessions in real-time, with the ability to replay the session to find the root cause of the problem, and usability analysis.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center.

Latency 63

Latency Analytics Scalability Engineering 63

Speed Curve

DECEMBER 11, 2019

When it comes to real user monitoring (RUM), I’m convinced that the marginal cost of collection, computation, storage, etc. This helps us do things like: correlate various performance metrics with user behavior, understand the user journey and popular pages so you can better model your synthetic testing, and.

Retail 59

Retail Traffic Media Metrics 59

Dynatrace

APRIL 19, 2023

Practices include continuous security testing, promoting a mature DevSecOps culture, and more. Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. .” Why perform exclusion at two points? Encryption.

Design 192

Design Storage Programming Analytics 192

HammerDB

DECEMBER 5, 2020

This meant we could dispense with the TP-monitor, reduce the number of clients, reduce the storage and the schema size but still run similar transactions to the TPC-C specification so that it was running a scalable and repeatable workload in a CPU and memory intensive manner. XML Connect Pooling (test distributed clusters).

C++ 40

C++ Benchmarking Virtualization Open Source 40

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 198

AWS Cloud Lambda Analytics 198

Scalegrid

JULY 17, 2020

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns.

Storage 321

Storage Database Efficiency Processing 321

All Things Distributed

JANUARY 11, 2011

Some friends brought me into contact with Phillip Attore in Amsterdam who was running a Beta test for a new business: rent a mifi device for a few dollars a day with 50MB per day included. I received one of these devices and tested it for the last three months of 2010 when I was almost continuously on the road. At werner.ly

Wireless 107

Wireless AWS Internet Internet 107

SQL Performance

APRIL 17, 2020

Say for example we wanted to also change the data type of the some_value column in our test table from integer NOT NULL to bigint NOT NULL. SQL Server assumes we meant to change collation to the database default ( Latin1_General_CI_AS for my test database). CREATE TABLE dbo. ( SELECT. all_columns AS AC1 CROSS JOIN sys.

Servers 63

Servers Database Testing Efficiency 63

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 85

AWS Storage Cloud Big Data 85

Dynatrace

FEBRUARY 15, 2023

organizations have over 100 custom applications in development and testing today. Additionally, its modern architecture delivers cost-effective storage and compute. As a result, teams benefit from low-cost cloud storage that provides access to all data and doesn’t require data rehydration. Site Reliability Guardian.

Analytics 130

Analytics Storage Cloud Code 130

All Things Distributed

MAY 24, 2011

A good starting point is the upcoming World IPv6 Day when many organizations will offer their content and services through IPv6 such that the readiness of the different devices, protocols and applications can be tested. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

Internet 114

Internet Internet AWS Scalability 114

All Things Distributed

APRIL 5, 2012

More recently weve expanded our platform to include additional forms of user interaction observation in support of our real-time analytics – here weve begun to leverage NoSQL technologies like Redis. Building "incident creators" - servers which test our ability to maintain peak performance. hands freeÃ?

Innovation 146

Innovation AWS Education Network 146

ScaleOut Software

JUNE 29, 2018

While the model alone does not provide specific APIs for predictive analytics or machine learning, its architecture provides an organizational structure for hosting application-specific algorithms so that they have immediate access to the context they need for deep introspection. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

While the model alone does not provide specific APIs for predictive analytics or machine learning, its architecture provides an organizational structure for hosting application-specific algorithms so that they have immediate access to the context they need for deep introspection. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 194

DevOps Analytics Airlines Metrics 194

The Morning Paper

OCTOBER 22, 2019

About half (18) used programming as their primary means of exploring data, and the remainder used visual analytics tools or a mix of tools and programming. Using EDA to test or demonstrate a new methodology or tool. are tied for most commonly used data storage and manipulation solutions. EDA in practice: motivations.

Programming 40

Programming Software Engineering Database Analytics 40