Highly Scalable

MARCH 1, 2012

The following figure depicts imaginary “evolution” of the major NoSQL system families, namely, Key-Value stores, BigTable-style databases, Document databases, Full Text Search Engines, and Graph databases: NoSQL Data Models. Document databases advance the BigTable model offering two significant improvements.

Database 279

Database Ecommerce Efficiency Engineering 279

Scalegrid

JULY 17, 2020

JSON is the most common format used by web services to exchange data, store documents, unstructured data, etc. Note: If a particular key is always present in your document, it might make sense to store it as a first class column. JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data.

Storage 321

Storage Database Efficiency Processing 321

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. Choosing the appropriate storage engine can have a significant impact on application performance.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

JULY 11, 2024

You can use the Grail Storage Record Deletion API to trigger a deletion request. To delete the records, use the Storage Record Deletion API. Check our Privacy Rights documentation to stay tuned to our continuous improvements. See documentation for Record deletion in Grail via API. Get started New to Dynatrace?

Storage 264

Storage Best Practices Government Media 264

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Teams have introduced workarounds to reduce storage costs. For more detailed information about DQL, reference the Grail documentation.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 246

Best Practices Storage Java Benchmarking 246

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. It provides simple APIs for creating indices, indexing or searching documents, which makes it easy to integrate. Mapping is used to define how documents and their fields are supposed to be stored and indexed. Net, Ruby, Perl etc.).

Strategy 264

Strategy Cache Storage Analytics 264

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps practices can improve infrastructure management efficiency and stability.

DevOps 278

DevOps Infrastructure Speed Cloud 278

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Remediation details are linked to the problem in Dynatrace and documented in ServiceNow. Executing corrective actions. Keeping relevant stakeholders in the loop.

DevOps 306

DevOps Software Engineering Games Java 306

Dynatrace

NOVEMBER 10, 2020

These capabilities enable deeper insights into all areas of GCP environments, which in turn allows businesses to quickly troubleshoot performance issues, optimize container workloads, and efficiently scale cloud operations. Google Cloud Storage. Google Cloud Datastore. Google Cloud Load Balancing. Google Cloud Pub/Sub.

Google 264

Google Cloud Serverless Innovation 264

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. 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. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Scalegrid

FEBRUARY 11, 2025

Whether you need a relational database for complex transactions or a NoSQL database for flexible data storage, weve got you covered. These systems are crucial for handling large volumes of data efficiently, enabling businesses and applications to perform complex queries, maintain data integrity, and ensure security.

Scalability 147

Scalability Database Storage IoT 147

DZone

JUNE 24, 2024

Objectives Modern AI innovations require proper infrastructure, especially concerning data throughput and storage capabilities. While GPUs drive faster results, legacy storage solutions often lag behind, causing inefficient resource utilization and extended times in completing the project.

Systems 130

Systems Software Software Storage 130

Dynatrace

MAY 23, 2024

Set up complete monitoring for your Azure subscription with Azure Monitor integration After activating the Azure Native Dynatrace Service (see Dynatrace Documentation for details), the Azure Monitor integration is enabled easily via the Microsoft Azure Portal, as shown in the following screenshot.

Azure 264

Azure Cloud Metrics Innovation 264

Dynatrace

SEPTEMBER 8, 2023

To generate client-id, refer to our OAuth documentation. This alert serves as a valuable tool in maintaining operational efficiency, ensuring business continuity, and delivering optimal customer experiences. Client secret to generate token: Client secret for token generation.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. As a request flows between services, each distinct unit of work is documented as a span. As you can imagine, this comes with very real storage costs. What is Edgar?

Latency 298

Latency Transportation Engineering Traffic 298

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 130

Storage Network Open Source Latency 130

Percona

MARCH 7, 2023

One approach is to separate compute and storage to allow for independent scaling. By separating storage and compute, Neon replaces the PostgreSQL storage layer with data nodes, and compute nodes are distributed across a cluster of nodes. Architecture A Neon installation consists of compute nodes and the Neon storage engine.

Serverless 128

Serverless Storage Open Source Architecture 128

The Netflix TechBlog

JUNE 13, 2023

Evaluation of migration completeness: To verify the completeness of the records, cold storage services are used to take periodic data dumps from the two data stores and compared for completeness. In addition, it is important to document the entire migration process and keep records of any issues encountered and their resolution.

Traffic 285

Traffic Metrics Systems Strategy 285

The Netflix TechBlog

MARCH 10, 2020

by Damir Svrtan and Sergii Makagon As the production of Netflix Originals grows each year, so does our need to build apps that enable efficiency throughout the entire creative process. Outside of the business logic are the Data Sources and the Transport Layer: Data Sources are adapters to different storage implementations.

Architecture 346

Architecture Transportation Java Strategy 346

Scalegrid

DECEMBER 28, 2023

How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. Pagination is an important factor to consider in MongoDB as it allows for the efficient organization of big datasets. The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Scalegrid

MARCH 8, 2024

These logs meticulously document every modification executed within the database in the data directory, providing essential incremental updates that facilitate time-specific recovery efforts. STATEMENT level – at which only SQL statements causing changes in data are documented succinctly.

Database 162

Database Strategy Servers Best Practices 162

Percona

FEBRUARY 23, 2023

Fortunately, there are ways to skip the local storage entirely and stream MongoDB backups directly to the destination. At the same time, the common goal is to save both the network bandwidth and storage space (cost savings!) However, I find zstd way more efficient, so I’ll use it in the examples.

AWS 142

AWS Storage Database Open Source 142

All Things Distributed

JUNE 21, 2018

In response to these needs, developers now have the choice of relational, key-value, document, graph, in-memory, and search databases. This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Build on.

Database 166

Database AWS Games Latency 166

The Netflix TechBlog

JULY 30, 2019

If you’re new to Conductor, this earlier blogpost and the documentation should help you get started and acclimatized to Conductor. Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. The Netflix Media Database (NMDB) is one such example.

Lambda 191

Lambda Media Open Source Metrics 191

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. This separation aims to streamline transaction write logging, improving efficiency and consistency. Who can benefit from DLV? and later v10 versions MySQL: 8.0.28

AWS 117

AWS Benchmarking Performance Traffic 117

Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 133

Cloud Serverless AWS Storage 133

Dynatrace

AUGUST 5, 2019

Optimize Query Performance and Data Storage Cost. Extract less critical data into a cheaper database storage option. read-only reports to cheaper storage which will save you operational costs as you can potentially scale down your existing RDBMS licenses. Optimize the performance of key queries.

Cloud 38

Cloud Traffic Database Network 38

Scalegrid

JUNE 28, 2024

It offers benefits like increased reliability, efficient resource utilization, decoupling of components, and support for multiple programming languages. RabbitMQ allows consumer programs to wait and receive messages from producers, ensuring efficient message delivery and processing.

IoT 130

IoT Healthcare Programming Open Source 130

All Things Distributed

JANUARY 18, 2012

In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. After the successful launch of the first Dynamo system, we documented our experiences in a paper so others could benefit from them. Amazon DynamoDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

Scalegrid

AUGUST 30, 2024

Storage Encryption for Persistent Messages Protecting sensitive data from unauthorized access is crucial, and encrypting messages at rest safeguards this information should the physical storage be breached. This form of encryption plays a pivotal role in protecting the confidentiality and integrity of data.

Transportation 130

Transportation Virtualization Strategy Storage 130

Percona

JULY 5, 2023

If your data is organized following the principle of locality, data access will be more efficient. Regarding tablespace and segment fragmentation, modern storage systems tend to reduce the impact of these types of fragmentation. This type of fragmentation can improve performance and efficiency.

Open Source 137

Open Source Database Efficiency Testing 137

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 107

Open Source Database Storage Scalability 107

Percona

JUNE 30, 2023

In addition to that: Run up to four pgBackrest repositories Bootstrap the cluster from the existing backup through Custom Resource Azure Blob Storage support Operations Deploying complex topologies in Kubernetes is not possible without affinity and anti-affinity rules. Please refer to our documentation. In version 1.x,

Availability 107

Availability Open Source Azure Hardware 107

The Netflix TechBlog

NOVEMBER 2, 2021

To aid our transition, we introduced another Cosmos microservice: the Document Conversion Service (DCS). Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. DCS is responsible for converting between Cosmos data models and Reloaded data models.

Media 178

Media Innovation Metrics Latency 178