DZone

AUGUST 7, 2023

Finding a storage solution for our ultra-heterogeneous computing cluster was challenging. We tried two solutions: object storage with s3fs + network-attached storage (NAS) and Alluxio + Fluid + object storage , but they had limitations and performance issues.

Storage 227

Storage Performance Innovation Network 227

DZone

OCTOBER 30, 2024

In this guide, we’ll walk through the implementation of an LSM tree in Golang , discuss features such as Write-Ahead Logging ( WAL ), block compression, and BloomFilters , and compare it with more traditional key-value storage systems and indexing strategies.

Strategy 244

Strategy Storage Efficiency Database 244

Dynatrace

MARCH 5, 2025

A shared vision At Dynatrace, weve built a comprehensive observability platform that already includes deep database visibility, the Top Database Statements view, and Grail for unified data storage and analysis.

Database 306

Database Development Tuning DevOps 306

DZone

JANUARY 7, 2025

Twilio is a call management system that provides excellent call recording capabilities, but often organizations are in need of automatically downloading and storing these recordings locally or in their preferred cloud storage. However, downloading large numbers of recordings from Twilio can be challenging.

Storage 242

Storage Efficiency Cloud Systems 242

DZone

MARCH 22, 2024

As a developer, engineer, or architect, finding the right storage solution that seamlessly integrates with your infrastructure while providing the necessary scalability, security, and performance can be a daunting task. Whether you're a small startup or a large enterprise, StoneFly's storage solutions can grow with your business.

Storage 189

Storage Scalability Development Network 189

Dynatrace

FEBRUARY 27, 2025

Acting as the middlemen, Collectors hide all the pesky little details, allowing OpenTelemetry exporters to focus on generating data, and OpenTel backends to focus on storage and analysis. Thats where the OpenTelemetry Collector can help. The Collector is expected to be ready for prime time in 2025, reaching the v1.0

Tuning 310

Tuning Open Source Innovation Monitoring 310

DZone

JUNE 21, 2024

This article analyzes the correlation between block sizes and their impact on storage performance. This paper deals with definitions and understanding of structured data vs unstructured data, how various storage segments react to block size changes, and differences between I/O-driven and throughput-driven workloads.

Storage 162

Storage Performance Benchmarking Processing 162

DZone

JUNE 28, 2023

However, lurking beneath the surface lies a complex web of data storage and retrieval. That's why knowing how to debug mobile app database problems and optimize data storage performance is essential for developers seeking excellence. In the dynamic realm of mobile app development , a flawless user experience is the ultimate goal.

Storage 203

Storage Mobile Database Performance 203

Dynatrace

NOVEMBER 29, 2024

By ensuring that all processes—from data collection to storage and usage—comply with regulatory requirements, organizations can better manage potential threats. Retention periods and access controls must be properly configured to protect such PII.

Healthcare 237

Healthcare Analytics Storage Government 237

Dynatrace

MARCH 5, 2025

Storage calculations assume that one terabyte consumes 1.2 Cloud storage is replicated twice, which doubles the energy consumption per terabyte. CPU calculations apply these assumptions: A virtual CPU (vCPU) on any cloud host equals one thread of a physical CPU core, with two threads per core.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

NOVEMBER 18, 2024

The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale. Through Azure Native Dynatrace Service, customers can seamlessly adopt these technologies to modernize and enhance their cloud operations.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

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 248

Latency Cache Infrastructure Strategy 248

DZone

FEBRUARY 27, 2025

In this article, I will walk through a comprehensive end-to-end architecture for efficient multimodal data processing while striking a balance in scalability, latency, and accuracy by leveraging GPU-accelerated pipelines, advanced neural networks , and hybrid storage platforms.

Efficiency 130

Efficiency Processing Latency Storage 130

Dynatrace

DECEMBER 18, 2024

Cost-efficient: Lowest upfront cost Charges are strictly based on query execution Scalability: Ideal for businesses with varying query demands Adapt dynamically to usage patterns Retention: Supports log storage from 1 day to 10 years Optimalfor longer-term log analytics needs Guidance on using both plans The Retain with Included Queries pricing option (..)

Analytics 246

Analytics Best Practices Efficiency Storage 246

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

Dynatrace

NOVEMBER 4, 2024

Reduced storage and query overhead for business use cases. Sensitive business data is separated from IT observability data. Improved data management. Fine-grained permission and retention policies can be tailored to individual business use cases. Business events are a small, often negligible subset of log data.

Analytics 241

Analytics Airlines Metrics Monitoring 241

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

All Things Distributed

AUGUST 22, 2024

Marc Olson, a long-time Amazonian, discusses the evolution of EBS, highlighting hard-won lessons in queueing theory, the importance of comprehensive instrumentation, and the value of incrementalism versus radical changes. It's an insightful look at how one of AWS’s foundational services has evolved to meet the needs of our customers.

Storage 183

Storage AWS 183

Scalegrid

JULY 17, 2020

JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. JSONB storage does not deduplicate the key names in the JSON. If that doesn’t work, the data is moved to out-of-line storage.

Storage 321

Storage Database Efficiency Availability 321

DZone

FEBRUARY 10, 2025

Microsoft Azure SQL is a robust, fully managed database platform designed for high-performance querying, relational data storage, and analytics. For a typical web application with a backend, it is a good choice when we want to consider a managed database that can scale both vertically and horizontally.

Metrics 165

Metrics Azure Analytics Storage 165

Scalegrid

FEBRUARY 27, 2025

Unlike full backups that duplicate everything, incremental backups store only changes since the last save, reducing storage needs and speeding up recovery. Key Benefits: Smaller Storage Footprint: Saves only modified data, cutting down backup size. How do incremental backups work in PostgreSQL 17?

Speed 130

Speed Database Storage Efficiency 130

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

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 325

Serverless AWS Lambda Storage 325

DZone

SEPTEMBER 25, 2023

It is the second of a series of articles that is built on top of that project, representing experiments with various statistical and machine learning models, data pipelines implemented using existing DAG tools, and storage services, both cloud-based and alternative on-premises solutions.

Storage 264

Storage AWS Architecture Cloud 264

The Netflix TechBlog

FEBRUARY 14, 2025

The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table. This refined output is then structured using an Avro schema, establishing a definitive source of truth for Netflixs impression data.

Tuning 165

Tuning Latency Efficiency Storage 165

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 258

Latency Storage Cache Servers 258

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 264

Infrastructure Storage Virtualization Network 264

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

DZone

MARCH 29, 2023

Data migration involves transferring data from on-premise storage to the cloud. Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.

Best Practices 315

Best Practices Cloud Data Engineering Storage 315

Dynatrace

AUGUST 1, 2022

You quickly realize that it will take ages to fill up the overprovisioned database storage. Two days later, your database runs out of storage in the middle of the night. Therefore, you don’t know your current growth rate and can’t estimate the required storage for keeping the database up and running for the next month.

Storage 246

Storage Database Network Metrics 246

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. When using Dynatrace OneAgent ® , captured data doesn’t leave the monitored environment.

Government 277

Government Storage Tuning Monitoring 277

DZone

JUNE 6, 2023

When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with. A messaging protocol is a set of rules and formats that are agreed upon among entities that want to communicate with each other.

IoT 305

IoT Tuning Storage Network 305

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

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 241

Cloud Media Storage Cache 241

DZone

FEBRUARY 23, 2023

Any real-time analytics provider or batching/storage adaptor can transform and store data supplied to an event hub. Introduction With big data streaming platform and event ingestion service Azure Event Hubs , millions of events can be received and processed in a single second.

Azure 306

Azure Big Data Storage Analytics 306

DZone

DECEMBER 14, 2021

Metadata synchronization (sync) is a core feature in Alluxio that keeps files and directories consistent with their source of truth in under-storage systems, thus making it simple for users to reason the data retrieved from Alluxio. Meanwhile, understanding the internal process is important in order to tune the performance.

Design 244

Design Storage Tuning Systems 244