Dynatrace

MARCH 5, 2025

Industry certification for Dynatrace Cost & Carbon Optimization To enhance the trust our customers and partners have in our approach, we commissioned the Sustainable Digital Infrastructure Alliance (SDIA) to test and certify the Cost & Carbon Optimization app. Storage calculations assume that one terabyte consumes 1.2

Energy 223

Energy Analytics Traffic Cloud 223

The Netflix TechBlog

NOVEMBER 12, 2024

Use Cases and Requirements At Netflix, our counting use cases include tracking millions of user interactions, monitoring how often specific features or experiences are shown to users, and counting multiple facets of data during A/B test experiments , among others. Let’s take a closer look at the structure and functionality of the API.

Latency 251

Latency Cache Infrastructure Strategy 251

Dynatrace

DECEMBER 12, 2024

Runtime Security integrates seamlessly with static code analyzers, container scanners, and application security testing tools. It continuously detects vulnerabilities, ensures compliance, provides real-time insights beyond logs, and automatically blocks code-level attacks, including zero-day exploits, with intelligent response automation.

Analytics 289

Analytics Government Efficiency Innovation 289

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

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

Scalegrid

JULY 17, 2020

Why not just create a table with a JSONB blob and get rid of all columns like the schema below: CREATE TABLE test(id int, data JSONB, PRIMARY KEY (id)); At the end of the day, columns are still the most efficient technique to work with your data. JSONB storage results in a larger storage footprint. This is the default option.

Storage 321

Storage Database Efficiency Availability 321

SQL Shack

JULY 28, 2020

In this article, we will learn how to test our storage subsystems performance using Diskspd. The storage subsystem is one of the key performance factors for SQL Server because SQL Server storage engine stores database objects, tables, and indexes on the physical files.

Storage 82

Storage Servers Testing Engineering 82

Dynatrace

AUGUST 11, 2022

This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Increased testing complexity. But how does FaaS fit in? These include the following: Reduced control.

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Inadequately tested container images deployed to production. Incidents are harder to solve.

Storage 328

Storage Engineering Traffic Infrastructure 328

DZone

FEBRUARY 5, 2023

Cosmos DB is a multimodal database in Azure that supports schema-less storage. For key object storage, RU tends to be less, but it still depends on the payload size. Performance tests conducted on 100 partitions and 100K records gave a P95 between 25-30ms for read and write. Cosmos DB cost is measured in RU.)

Azure 243

Azure Storage C++ Performance Testing 243

DZone

MAY 7, 2023

Additionally, an HTTP API tool, Postman, is used to interact with our application and to test the API functionality. By the end of the tutorial, you’ll have a running Spring Boot app that serves as an HTTP API server with ScyllaDB as the underlying data storage. And you’ll learn how ScyllaDB can be used to store time series data.

Storage 285

Storage Servers Testing 285

The Netflix TechBlog

DECEMBER 17, 2024

DJ stands out as an open source solution that is actively developed and stress-tested at Netflix. DJ has a strong pedigreethere are several prior semantic layers in the industry (e.g. Minerva at Airbnb; dbt Transform, Looker, and AtScale as paid solutions). Wed love to see DJ easing your metric creation and consumption painpoints!

Analytics 212

Analytics Engineering Entertainment Metrics 212

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 238

Infrastructure Transportation Storage Open Source 238

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 260

Latency Storage Cache Servers 260

The Netflix TechBlog

AUGUST 28, 2020

For example, two 1080p points with identical VMAF score or four 4K points with identical VMAF score, resulting in wasted bits and increased storage footprint. The optimized ladder entails a smaller storage footprint compared to the fixed-bitrate ladder. Acknowledgements We thank Lishan Zhu for help rendered during A/B testing.

Network 336

Network Storage Innovation Mobile 336

Dynatrace

SEPTEMBER 15, 2020

It differentiates Dynatrace as an AWS Partner Network (APN) member with a fully tested product on AWS Outposts. “We The AWS Service Ready Program was established to support the seamless integration and deployment of AWS services. We are delighted to welcome Dynatrace to the AWS Outposts Ready Program. What is AWS Outposts?

AWS 275

AWS Design Cloud Storage 275

The Netflix TechBlog

MAY 4, 2023

This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Other data types will be available soon). What’s next?

Storage 242

Storage Healthcare Best Practices Speed 242

Dynatrace

MAY 7, 2024

New processors: Introducing new processors, including Metric Selector and Content Modifier, for selective data processing and metadata adjustment, improving data relevance and storage efficiency. By default, you have a storage type memory, but you may exceed this buffer limit if you have a lot of data.

Best Practices 279

Best Practices IoT Metrics Storage 279

The Netflix TechBlog

MARCH 10, 2020

One of the main advantages we also saw in having an app with clear boundaries is our testing strategy?—?the the majority of our tests can verify our business logic without relying on protocols that can easily change. We knew that a prerequisite to great development velocity was to have a test suite that is reliable and super fast.

Architecture 346

Architecture Transportation Java Strategy 346

DZone

OCTOBER 11, 2022

Improving testing by using real traffic from production ( Hacker News). Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). Hacker News).

Java 244

Java Best Practices Google Open Source 244

VoltDB

DECEMBER 11, 2024

Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: Limited storage capacity on edge devices. Leverage tiered storage systems that dynamically offload data based on priority.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

AUGUST 21, 2024

To enhance reliability, testing the software under these conditions is crucial to prepare for potential issues by leveraging chaos engineering or similar tools. Chaos engineering is a practice that extends beyond traditional failure testing by identifying unpredictable issues.

Engineering 262

Engineering Systems Latency Metrics 262

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 164

Testing AWS Lambda Network 164

Dynatrace

DECEMBER 16, 2020

Automatically run thousands of automated tests. Ensure manual penetration testing. Every storage location involving data at rest is encrypted as well. Annual independent penetration tests are performed as well, which prove the effectiveness of our security controls with a low number of findings.

Software 289

Software Software Development AWS 289

Dynatrace

APRIL 19, 2023

Practices include continuous security testing, promoting a mature DevSecOps culture, and more. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Encryption.

Design 246

Design Storage Programming Analytics 246

The Netflix TechBlog

NOVEMBER 29, 2023

A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. The pandemic, however, posed unique challenges in conducting a conventional in-lab subjective test with HDR encodes. A/B testing also allows us to get a read on the improvement in quality of experience (QoE).

Open Source 260

Open Source Software Engineering Internet Internet 260

Dynatrace

NOVEMBER 28, 2023

This step is crucial as this environment is used for the final validation and testing phase before the code is released into production. Furthermore, augmenting test coverage to mirror the scenarios encountered in production is imperative. This stage ensures the code meets the required quality standards before it goes live.

Traffic 279

Traffic Best Practices Strategy Engineering 279

Scalegrid

JANUARY 20, 2020

This extra cluster, known as a follower cluster, can be leveraged for multiple use cases, including for analyzing, optimizing and testing your application performance for MongoDB , MySQL and PostgreSQL. The ‘follower’ system is writable, so you can use it as a staging environment to test your application changes.

Analytics 185

Analytics Database Storage Testing 185

Scalegrid

JUNE 4, 2020

On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. PostgreSQL DigitalOcean Performance Test. Next, we are going to test and compare the latency performance between ScaleGrid and DigitalOcean for PostgreSQL. ScaleGrid PostgreSQL provides on average 42.3% Single Node.

Database 230

Database Latency Benchmarking Performance 230

High Scalability

NOVEMBER 2, 2020

We rewrote almost all of the storage used for storing code analysis results while maintaining backwards compatibility and without any outages. It took several weeks of intense collaboration, designing, iterative implementation, and testing in production.

Storage 231

Storage Design Infrastructure Engineering 231

Scalegrid

JULY 8, 2019

Standalone deployments are a single node without any replication, and should really only be used for development or testing environments. Your performance tests may also show that you need more I/O (input/output), you can move to a disk-intensive instance type. MySQL Dev/Test Environments: Standard Disks.

Azure 219

Azure Cloud Virtualization Database 219

Dynatrace

OCTOBER 3, 2024

There is no need to think about schema and indexes, re-hydration, or hot/cold storage. Dynatrace Grail™ data lakehouse is schema-on-read and indexless, built with scaling in mind. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.

Performance 290

Performance Architecture Innovation Latency 290

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. See performance tests to determine the impact of the Meltdown CPU kernel patch on your MongoDB servers.

Azure 344

Azure AWS Database Latency 344

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. Compared to replay testing, canaries allow us to extend the validation scope beyond the service level.

Traffic 285

Traffic Metrics Systems Strategy 285

The Netflix TechBlog

FEBRUARY 9, 2022

Previous solutions The basic approach to pulling down arbitrary workflow resources during workflow execution has been known to mankind since the invention of cron, and with the advent of “infinite” cloud storage systems like S3, this approach has served us for many years. Where should this alternative location be in S3?

Storage 210

Storage Data Engineering Testing Code 210

Dynatrace

JUNE 10, 2024

Finally, just 50% are confident their applications have been tested for vulnerabilities before going into production. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. Observability starts with the collection, storage, and accessibility of multiple sources.

Analytics 264

Analytics Network Open Source Hardware 264