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. JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster.

Storage 321

Storage Database Efficiency Processing 321

The Netflix TechBlog

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show).

Media 299

Media Storage Infrastructure Systems 299

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 254

Latency Storage Cache Efficiency 254

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Ask yourself, how much data should Fluent Bit process? What is Fluent Bit?

Best Practices 255

Best Practices IoT Metrics Storage 255

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 116

Storage Blockchain AWS Cloud 116

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. Ingest and process with Grail. Retain data.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 295

DevOps Software Engineering Games Java 295

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. The selected rules can be configured for a whole environment or, more granularly, for specific process groups.

Government 221

Government Storage Tuning Monitoring 221

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which The process started with manual pull of member account information that was part of the session. We use Mantis for processing the stream of collected traces, and we use Cassandra for storing traces.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Cold storage and rehydration. Cold storage and rehydration.

Analytics 226

Analytics Storage Retail Monitoring 226

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). Ingest and process.

Retail 248

Retail Storage Best Practices Architecture 248

Dynatrace

OCTOBER 4, 2022

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Stop worrying about log data ingest and storage — start creating value instead.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

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. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. Host group.

Storage 240

Storage Government Network Monitoring 240

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 270

Artificial Intelligence Metrics Analytics Storage 270

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. Triage and diagnosis become a long process of hunting for clues. Incidents are harder to solve.

Storage 311

Storage Engineering Traffic Infrastructure 311

Dynatrace

OCTOBER 30, 2023

During the session, Reitbauer dove into several business-critical, high-impact examples of how customers can wield platform engineering in the Dynatrace platform out of the box and throughout the entire software delivery lifecycle. Dynatrace AutomationEngine fully automates this entire process. This context arrives automatically.

Engineering 254

Engineering DevOps Innovation Storage 254

The Netflix TechBlog

OCTOBER 8, 2024

Flexible Storage : The service is designed to integrate with various storage backends, including Apache Cassandra and Elasticsearch , allowing Netflix to customize storage solutions based on specific use case requirements. For example: {“device_type”: “ios”}. Note : With Cassandra 4.x

Latency 242

Latency Storage Traffic Tuning 242

Dynatrace

JANUARY 18, 2023

Let’s look at the unique enabling characteristics of business events through two use case examples, then see how easy it’s to get started. Inventory counts, revenue reports, and service activation flows are just a few examples that demand precision. This diagram shows a few examples of business events.

Analytics 237

Analytics Retail Storage Monitoring 237

Dynatrace

OCTOBER 2, 2024

There is no need to think about schema and indexes, re-hydration, or hot/cold storage. How logs are ingested Dynatrace offers OpenPipeline to ingest, process, and persist any data from any source at any scale. For example, deleting the database is not an expected outcome when the function provided is to update a user profile.

Analytics 248

Analytics AWS DevOps Cloud 248

Dynatrace

MAY 21, 2024

With the latest advances from Dynatrace, this process is instantaneous. That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Moreover, it is fast, powered by its massively parallel processing data lakehouse.

Technology 212

Technology Technology Analytics Storage 212

Dynatrace

DECEMBER 12, 2024

Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations. Visibility of all business processes starting from the back end and ending with customer experience is perhaps the biggest challenge. For example, user behavior helps identify attacks or fraud.

Analytics 214

Analytics Government Efficiency Innovation 214

The Netflix TechBlog

MARCH 14, 2023

An example of using Machine Learning to find shots of Eleven in Stranger Things and surfacing the results in studio application for the consumption of Netflix video editors. Here is an example of the desired output when the user searches for “red race car” across the entire content library. Processing took several hours to complete.

Media 301

Media Innovation Energy Architecture 301

The Netflix TechBlog

NOVEMBER 15, 2022

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. This program is just one example of the many ways Netflix strives to entertain the world. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 293

Cloud Entertainment AWS Infrastructure 293

Dynatrace

JUNE 10, 2024

For example, an organization might use security analytics tools to monitor user behavior and network traffic. The nature of “anytime, anywhere” data generation means data is no longer confined to structured processes and can’t always be defined by existing policies.

Analytics 243

Analytics Network Open Source Hardware 243

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Non-topology metrics are not related to any Smartscape entity (for example, a retailer’s revenue numbers per store).

Metrics 246

Metrics Analytics Storage Monitoring 246

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 95

Storage Engineering Database Open Source 95

Highly Scalable

MARCH 1, 2012

And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. One of the most significant shortcomings of the Key-Value model is a poor applicability to cases that require processing of key ranges. Processing complexity VS total data volume. 1) Denormalization.

Database 279

Database Ecommerce Efficiency Engineering 279

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 253

Latency Cache Infrastructure Strategy 253

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Cold storage and rehydration. Cold storage and rehydration.

Analytics 193

Analytics Storage Retail Monitoring 193

Dynatrace

OCTOBER 4, 2022

For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics 204

Analytics Software Software Storage 204

Dynatrace

DECEMBER 5, 2023

But take a look at the latest iterations of, for example, AWS Graviton2, which delivered a 40% price/performance boost, and Graviton3, which had an additional 27% price/performance improvement over Graviton2. In the following example, a synthetic monitor is set up for webpage uptime monitoring.

Efficiency 276

Efficiency Architecture Energy Monitoring 276

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

Dynatrace

AUGUST 27, 2020

AWS Storage Gateway. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high quality models. Amazon Managed Apache Cassandra Service (Keyspaces). Amazon Managed Streaming for Apache Kafka.

AWS 275

AWS Cloud IoT Database 275

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Additionally, it discov ers all processes running on the h ost and automatically activates instrumentation throughout the application stack. .

Analytics 253

Analytics Infrastructure AWS Operating System 253

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 174

Traffic Scalability Strategy Monitoring 174