Dynatrace

MARCH 11, 2025

Say hello to advanced trace an alytics and new data storage and capture options. Example: Exception analysis Understanding patterns, especially regarding exceptions, is no easy feat. For example, you can filter to understand endpoint performance where exception messages contain the string, access denied. But why stop there?

Games 165

Games Analytics Innovation Metrics 165

Dynatrace

NOVEMBER 4, 2024

For example: An airline’s reporting and analytics dashboard includes data showing flights, passengers, available seats, passenger load, revenue per passenger, flight crew staffing, arrival delays, and customer satisfaction metrics. Reduced storage and query overhead for business use cases. Improved data management.

Analytics 241

Analytics Airlines Metrics Monitoring 241

Dynatrace

MARCH 5, 2025

The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. Storage calculations assume that one terabyte consumes 1.2 A CPU operating at 100% utilization consumes power equal to its TDP.

Energy 223

Energy Analytics Traffic Cloud 223

The Netflix TechBlog

MARCH 31, 2025

Besides the need for robust cloud storage for their media, artists need access to powerful workstations and real-time playback. As an example, if a show is shot on various camera formats all framed and recorded at different resolutions, with different lenses and different safeties on each frame.

Media 203

Media Logistics Innovation Cloud 203

The Netflix TechBlog

NOVEMBER 12, 2024

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.

Latency 251

Latency Cache Infrastructure Strategy 251

The Netflix TechBlog

DECEMBER 17, 2024

Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft. As an example, imagine an analyst wanting to create a Total Streaming Hours metric. For example, LORE provides human-readable reasoning on how it arrived at the answer that users can cross-verify.

Analytics 212

Analytics Engineering Entertainment Metrics 212

Scalegrid

FEBRUARY 6, 2025

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Message Broker vs. Distributed Event Streaming Platform RabbitMQ functions as a message broker, managing message confirmation, routing, storage, and delivery within a queue. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Percona

DECEMBER 11, 2023

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 122

Storage Strategy Cloud Network 122

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

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

Percona

FEBRUARY 10, 2023

Today along with their team, we will see how pvc-autoresizer can automate storage scaling for MongoDB clusters on Kubernetes. Our goal is to automate storage scaling when our disk reaches a certain threshold of use and simultaneously reduce the amount of alert noise related to that. kubectl annotate pvc --all resize.topolvm.io/storage_limit="100Gi"

Storage 130

Storage Blockchain AWS Cloud 130

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum’s polymorphic data storage allows you to control the configuration for your table and partition storage with the freedom to execute and compress files within it at any time.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. For example, Stripe transactions. JSONB storage results in a larger storage footprint. Syncing with external data sources.

Storage 321

Storage Database Efficiency Availability 321

The Netflix TechBlog

DECEMBER 17, 2024

Consider the following example of two different Netflix Homepages: Sample HomepageA Sample HomepageB To a basic recommendation system, the two sample pages might appear equivalent as long as the viewer watches the top title. Some examples: Why is title X not showing on the Coming Soon row for a particular member?

Traffic 172

Traffic Scalability Strategy Monitoring 172

The Netflix TechBlog

FEBRUARY 14, 2025

Analyzing impression history, for example, might help determine how well a specific row on the home page is functioning or assess the effectiveness of a merchandising strategy. The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table.

Tuning 166

Tuning Latency Efficiency Storage 166

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

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Storage 297

Storage Cache Metrics Database 297

DZone

JUNE 28, 2024

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Even though they are quite costly, SSDs and flash can be categorized as high-performance storage classes.

Azure 223

Azure Storage Performance Cloud 223

Dynatrace

MAY 21, 2024

Masking at storage: Data is persistently masked upon ingestion into Dynatrace. Leverage three masking layers Masking at capture and masking at storage operations exclude targeted sensitive data points. See the process-group settings example in the screengrab below. Read more about these options in Log Monitoring documentation.

Government 277

Government Storage Tuning Monitoring 277

Dynatrace

APRIL 4, 2025

The click-to-filter features allow you to swiftly drill down to view logs in the context of cost centers, products, custom tags, or, as in the example above, filtered to the Kubernetes daemon service. Dynatrace Grail lets you focus on extracting insights rather than managing complex schemas or index and storage concepts.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Dynatrace

AUGUST 1, 2022

Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. You quickly realize that it will take ages to fill up the overprovisioned database storage.

Storage 246

Storage Database Network Metrics 246

The Netflix TechBlog

FEBRUARY 13, 2023

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

Media 297

Media Storage Infrastructure Systems 297

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. See the example below. 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

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).

Storage 242

Storage Healthcare Best Practices Speed 242

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. This blog discusses general tablespaces and explores their functionalities, benefits, and practical usage, along with illustrative examples. What are MySQL general tablespaces?

Storage 114

Storage Engineering Database Open Source 114

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 242

Cloud Media Storage Cache 242

DZone

MAY 7, 2023

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. For example: You’ll be able to create stocks with prices and dates and get a list of stock items. And you’ll learn how ScyllaDB can be used to store time series data.

Storage 285

Storage Servers Testing 285

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

The Netflix TechBlog

AUGUST 28, 2020

1: Example of a thriller-drama episode showing new highest bitrate of 11.8 2: Example of a sitcom episode with some action showing new highest bitrate of 8.5 3: Example of a sitcom episode with less action showing new highest bitrate of 6.6 4: Example of a 4K animation episode showing new highest bitrate of 1.8

Network 336

Network Storage Innovation Mobile 336

Dynatrace

APRIL 28, 2023

Customers must comply with internal and external policies and regulations that might demand them to keep specific data stored for a minimum period of time (for example, audit logs). For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics 246

Analytics Storage Infrastructure Metrics 246

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. These challenges stem from the distributed and often resource-constrained nature of edge computing. Try it out with a free trial.

Retail 306

Retail Storage Analytics Cloud 306

Dynatrace

OCTOBER 14, 2022

This way, it‘s possible to flexibly select what confidential or sensitive information (for example, PII) is hashed or completely removed before it leaves the enterprise premises. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. Try it out yourself.

Storage 278

Storage Government Network DevOps 278

The Netflix TechBlog

MARCH 8, 2021

They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. It also allows for logic statements to handle situations such as mount this storage in this environment only or only run this script if this file does not exist. Artists need many components to be customized.

Entertainment 307

Entertainment Storage Open Source Hardware 307

Dynatrace

JULY 29, 2022

Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year. Cold storage and rehydration. Cold storage and rehydration.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

FEBRUARY 4, 2025

Rising compliance demands Businesses today are under immense pressure to keep up with stringent regulations surrounding data storage, processing, and access. Addressing these challenges proactively is critical to maintaining a secure and efficient cloud infrastructure. Leverage tailored workflows to ensure quick resolution.

Cloud 130

Cloud Virtualization Efficiency Best Practices 130

Dynatrace

JULY 29, 2022

Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year. Cold storage and rehydration. Cold storage and rehydration.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Grail is built for such analytics, not storage.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290