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 91

Storage Scalability Strategy Performance 91

Scalegrid

MAY 13, 2020

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 205

Artificial Intelligence Analytics Storage Government 205

DZone

JANUARY 23, 2022

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. . – this is addressed through monitoring and redundancy. Redundancy by building additional data centers.

Hardware 243

Hardware DevOps Network Storage 243

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

Dynatrace

AUGUST 8, 2019

One of our design principles is to make sure that Dynatrace is as easy to set up and use as possible. Smaller network and Dynatrace cluster storage footprint. The post Rebuilt OneAgent installer for Windows provides more efficient installation appeared first on Dynatrace blog. Dynatrace news. msi-based deployment.

Efficiency 117

Efficiency Network Storage Architecture 117

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. Use the ‘–log-bin’ option to designate a base name for the binary log files.

Database 162

Database Strategy Servers Best Practices 162

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 233

Retail Storage Best Practices Architecture 233

Dynatrace

AUGUST 1, 2022

Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. 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. Dynatrace news.

Storage 184

Storage Database Network Metrics 184

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

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 222

Monitoring Artificial Intelligence Performance Analytics 222

Dynatrace

OCTOBER 4, 2022

A data lakehouse addresses these limitations and introduces an entirely new architectural design. 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). Grail is built for such analytics, not storage.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 276

Serverless AWS Lambda Storage 276

Dynatrace

JANUARY 31, 2024

Designed to reach beyond petabyte (PB) scale, OpenPipeline will—at its launch— quintuple the ingest throughput from 100 TB a day per tenant to 500 TB a day per tenant. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Commitment to privacy.

Analytics 192

Analytics Processing Transportation Storage 192

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 189

Open Source Storage Analytics Innovation 189

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

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

All Things Distributed

MAY 19, 2017

In many, high-throughput, OLTP style applications the database plays a crucial role to achieve scale, reliability, high-performance and cost efficiency. In a paper published this week at SIGMOD'17 , the Amazon Aurora team presents the design considerations for the new database engine and how they addressed them.

Database 117

Database Design Cloud Storage 117

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. With performance optimization at its core along with mitigating risks associated with relying solely on one cloud provider or taking advantage of cost efficiencies. What is Hybrid Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

NOVEMBER 29, 2023

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. A DBaaS automates several processes, such as using, erasing, and spinning up storage without interventions from IT staff. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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 187

Analytics Software Software Storage 187

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

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 98

AWS Benchmarking Performance Traffic 98

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 243

AWS Efficiency Azure Cloud 243

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. Data encryption should be applied along with robust access controls and efficient encryption key management procedures.

Strategy 130

Strategy Cloud Best Practices Government 130

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 109

Storage Network Open Source Latency 109

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

APRIL 17, 2023

Since MongoDB usually works with a replica set, it is possible to increase this parameter to get better performance: # edit /etc/mongod.conf storage: journal: enabled: true commitIntervalMs: 300 WiredTiger cache For dedicated servers, it is possible to increase the WiredTiger(WT) cache. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. These essential data points heavily influence both stability and efficiency within the system. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 8, 2023

To achieve this, we’ll create a Grail bucket specifically designed to retain data for a duration of 10 years (3,657 days). In the above recording, we demonstrate an alert specifically designed to notify when there is a significant increase in pending transactions.

Database 266

Database Artificial Intelligence Metrics Monitoring 266

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region. The graphic below (Fig.

Open Source 252

Open Source Software Engineering Internet Internet 252

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

Dynatrace

MAY 26, 2021

Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. After all, it’s key to sample and store traces efficiently while not missing out on important events. OTel is designed to ensure flexibility and stability. So, the design of OTel allows for flexibility.

AWS 208

AWS Strategy Storage Metrics 208

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. 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. It is a decomposed binary format to store JSON.

Storage 321

Storage Database Efficiency Processing 321