DZone

JANUARY 29, 2020

To resolve the problem it was suggested to find more suitable data storage. There are several limitations to store and fetch such data (all restrictions could be found in official documentation ). For some internal reasons well known Amazon S3 bucket was chosen for this purpose. The choice affected the project's unit test base.

Storage 124

Storage Efficiency Testing Database 124

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 90

Storage Engineering Database Hardware 90

Percona

APRIL 14, 2023

How do you know if your MySQL database caching is operating efficiently? Its main data caching structure for the standard InnoDB storage engine is called Buffer Pool. I strongly believe there’s an important place for this graph on “data caching efficiency” for MySQL in PMM. MySQL does.

Cache 93

Cache Efficiency Database Monitoring 93

DZone

AUGUST 6, 2021

On a small scale, this isn’t problematic but when dealing with large-scale deployments, organizations end up using lots of computing, storage, and human resources just to manage their indexes. As the database grows in size, so does the index management cost.

Storage 189

Storage Database Systems Efficiency 189

Dynatrace

MAY 7, 2024

which offers a range of updates: HTTP/2 support: Fluentbit now supports HTTP/2, enabling efficient data transmission with Gzip compression for OpenTelemetry data, enhancing pipeline performance. By default, you have a storage type memory, but you may exceed this buffer limit if you have a lot of data. What’s new in Fluent Bit 3.0

Best Practices 130

Best Practices IoT Metrics Storage 130

DZone

SEPTEMBER 14, 2023

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. In this article, we will delve into strategies to ensure that your data pipeline is resource-efficient, cost-effective, and time-efficient.

Big Data 269

Big Data Processing Games Open Source 269

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 224

Strategy Artificial Intelligence Storage Cloud 224

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Uber Engineering

AUGUST 14, 2019

Maintaining Uber’s large-scale data warehouse comes with an operational cost in terms of ETL functions and storage. In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility?

Efficiency 103

Efficiency Engineering Design Storage 103

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 93

Storage Scalability Strategy Performance 93

Dynatrace

MARCH 6, 2024

Kubernetes architectures make it easier to quickly scale services to new users and drive efficiency gains through dynamic resource provisioning. The report shows that log analytics are a particular challenge, as the long-term storage cost of all this data has begun to overshadow the value organizations can unlock from querying it.

Analytics 193

Analytics Innovation Strategy Storage 193

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 211

Artificial Intelligence Analytics Storage Government 211

Dynatrace

NOVEMBER 9, 2023

Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient. Storage container metrics Track the usage and performance of storage containers to optimize resource allocation.

Virtualization 195

Virtualization Storage Metrics Monitoring 195

Dynatrace

AUGUST 8, 2019

Smaller network and Dynatrace cluster storage footprint. The post Rebuilt OneAgent installer for Windows provides more efficient installation appeared first on Dynatrace blog. It now provides reliability and ease of deployment even in tricky situations like hardened Windows OS settings or in the presence of strict antivirus rules.

Efficiency 118

Efficiency Network Storage Architecture 118

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

DZone

APRIL 11, 2023

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246

Azure Analytics Storage Cloud 246

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 152

Tuning Speed Performance Open Source 152

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. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

DZone

JUNE 15, 2023

Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 246

Latency Storage Strategy Metrics 246

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

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 203

Analytics Infrastructure Efficiency Technology 203

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. Eliminates team silos.

Analytics 223

Analytics Storage Infrastructure Metrics 223

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 190

Storage Database Network Tuning 190

Scalegrid

FEBRUARY 1, 2024

Key Takeaways Understanding the range of MySQL backup types and strategies is essential for optimal data security and efficiency, including full, incremental, differential, and partial backups, each with its advantages and use cases. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

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. Limited data availability constrains value creation.

Analytics 237

Analytics Artificial Intelligence Storage Serverless 237

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 270

Artificial Intelligence Analytics Storage Architecture 270

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 239

Retail Storage Best Practices Architecture 239

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 217

Analytics Storage Retail Monitoring 217

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. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

OCTOBER 6, 2021

But along with advantages and uses, computer vision has its challenges in the department of modern applications, which deep neural networks can address quickly and efficiently. With the soaring demand for computing power and storage, it is challenging to deploy deep neural network applications. Network Compression.

Network 258

Network Storage Efficiency 258

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 228

Monitoring Artificial Intelligence Performance Analytics 228

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. With the ability to monitor resource utilization metrics such as CPU and memory in real time, teams can optimize their operations, resulting in reduced cost and greater overall efficiency. Automated scaling. Self-healing.

Open Source 195

Open Source Storage Analytics Innovation 195

Scalegrid

MARCH 8, 2024

They should ensure alignment with operational requirements while choosing the most appropriate log format configuration to efficiently manage server activities directly or indirectly related to potential data transformations on databases under stewardship. Cloud-based platforms such as SqlBak make managing backups more straightforward.

Database 162

Database Strategy Servers Best Practices 162