Scalegrid

FEBRUARY 27, 2025

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Optimized Queries: Eliminates redundant IS NOT NULL checks, speeding up query execution for columns that cant contain null values. Improved Vacuuming: A redesigned memory structure lowers resource use and speeds up the vacuum process.

Speed 130

Speed Database Storage Efficiency 130

DZone

MAY 3, 2023

In the previous posts, we covered things we had to do to upload files on the front end, things we had to do on the back end, and optimizing costs by moving file uploads to object storage.

Latency 195

Latency Speed Performance Storage 195

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

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

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 166

Tuning Latency Efficiency Storage 166

DZone

NOVEMBER 25, 2023

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. Factors like read and write speed, latency, and data distribution methods are essential. In a detailed article, we've discussed how to align a NoSQL database with specific business needs.

Database 278

Database Latency Speed Metrics 278

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

DZone

NOVEMBER 7, 2023

This is about how a cyber security service provider built its log storage and analysis system (LSAS) and realized 3X data writing speed, 7X query execution speed, and visualized management. It also provides data management and file-tracking services.

Storage 222

Storage Speed Systems 222

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

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

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162

Tuning Speed Performance Open Source 162

Dynatrace

AUGUST 11, 2022

Effective application development requires speed and specificity. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Microservices, on the other hand, make it possible to quickly scale up a single aspect of an application, such as storage or compute use. Dynatrace news. But how does FaaS fit in?

Development 279

Development Serverless Best Practices Lambda 279

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

OCTOBER 4, 2022

In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. This can vastly reduce an organization’s storage costs and improve data efficiency. The Dynatrace difference, powered by Grail.

Analytics 264

Analytics Storage Infrastructure Metrics 264

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 242

Cloud Media Storage Cache 242

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach. Data lakehouse architecture addresses data explosion.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

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

High Scalability

SEPTEMBER 8, 2018

RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. What's changed ?

Storage 199

Storage Performance AWS Cloud 199

Dynatrace

JULY 29, 2022

Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Cold storage and rehydration. Because data storage can be costly, organizations may opt to store some data in cold, or inactive, storage. Inadequate context.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Cold storage and rehydration. Because data storage can be costly, organizations may opt to store some data in cold, or inactive, storage. Inadequate context.

Analytics 245

Analytics Storage Retail DevOps 245

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 improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 278

DevOps Infrastructure Speed Cloud 278

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 114

Storage Engineering Database Open Source 114

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. This improves query speeds and reduces related costs for all other teams and apps.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

OCTOBER 4, 2022

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. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. It helps derive context between different data slices.

Analytics 246

Analytics Software Software Storage 246

Percona

APRIL 26, 2023

Bringing physical backups in Percona Backup for MongoDB (PBM) was a big step toward the restoration speed. The speed of the physical restoration comes down to how fast we can copy (download) data from the remote storage. We aim to port it to Azure Blob and FileSystem storage types in subsequent releases. Let’s try.

Speed 98

Speed Storage AWS Azure 98

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

Storage 227

Storage Latency Operating System Network 227

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. But it is not only the number of clusters that matters, but also the storage underneath. Digital transformation continues surging forward.

Engineering 264

Engineering DevOps Innovation Storage 264

Dynatrace

JUNE 10, 2024

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. Dynatrace Grail introduces a new architectural design that addresses both of these issues to provide both rich data management and low-cost cloud storage.

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

JANUARY 11, 2023

High storage costs. To analyze long-term trends using traditional methods, teams must rehydrate data that resides in “cold data storage” (older data that is no longer accessible for daily operations). This combination offers rich data management and analytics on top of low-cost cloud storage. Search constraints.

Analytics 246

Analytics Strategy Storage Technology 246

Smashing Magazine

JANUARY 7, 2025

This means that youre able to handle sudden traffic surges without the hassle of resource monitoring and without compromising on speed. This means that you can reduce latency and speed up your content delivery times , regardless of where your customers are based. A content delivery network (CDN) is an excellent solution to the problem.

Traffic 86

Traffic Website Design Cache 86

Dynatrace

FEBRUARY 10, 2023

From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Learn more.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 3, 2024

There is no need to think about schema and indexes, re-hydration, or hot/cold storage. This empowers application teams to gain fast and relevant insights effortlessly, as Dynatrace provides logs in context, with all essential details and unique insights at speed. The same is true when it comes to log ingestion.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

OCTOBER 17, 2023

Grail stores and unifies all observability, security, and business data Now organizations can store all their observability, security, and business data in one repository: Grail , in Dynatrace without having to manage schemas, indexes, or storage tiers.

Monitoring 278

Monitoring Artificial Intelligence Performance Analytics 278

DZone

JULY 10, 2019

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS.

Best Practices 138

Best Practices Storage Latency Tuning 138

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 246

Monitoring Programming Serverless Speed 246

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