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 93

Storage Engineering Database Open Source 93

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. This flexibility allows our Data Platform to route different use cases to the most suitable storage system based on performance, durability, and consistency needs.

Latency 248

Latency Storage Cache Efficiency 248

Percona

OCTOBER 10, 2023

This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. Availability solutions – Advanced backups, including physical backups and point-in-time recovery that are not available to MongoDB Community Edition.

Availability 105

Availability Servers Database Open Source 105

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news. Minimized cross-data center network traffic.

Availability 255

Availability Hardware Latency Traffic 255

DZone

AUGUST 13, 2024

Our company uses artificial intelligence (AI) and machine learning to streamline the comparison and purchasing process for car insurance and car loans. But this also caused storage challenges like disk failures and data recovery. As our data grew, we had problems with AWS Redshift which was slow and expensive.

Artificial Intelligence 212

Artificial Intelligence Architecture AWS Storage 212

DZone

JUNE 4, 2019

NVMe Storage Use Cases. NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. There are several AI/ML focused use cases to highlight.

Storage 100

Storage Artificial Intelligence FinTech Performance 100

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 112

Availability Database Open Source Hardware 112

The Netflix TechBlog

NOVEMBER 12, 2024

Both categories share common requirements, such as high throughput and high availability. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Introducing sufficient jitter to the flush process can further reduce contention.

Latency 224

Latency Cache Infrastructure Strategy 224

Dynatrace

MAY 21, 2024

With the latest advances from Dynatrace, this process is instantaneous. That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Moreover, it is fast, powered by its massively parallel processing data lakehouse.

Technology 211

Technology Technology Analytics Storage 211

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Where a high availability design once worked well, it can no longer keep up with more complex requirements. there cannot be high availability.

Availability 87

Availability Open Source Architecture Database 87

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. This process is done automatically and does not significantly impact how the database is used. text, bytea), and “strategy” is one of the four TOAST storage strategies (PLAIN, EXTENDED, EXTERNAL, MAIN).

Storage 95

Storage Scalability Strategy Performance 95

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

SEPTEMBER 5, 2024

A $20 billion Germany-based financial services company told us they found the process of pushing Syslog messages to Dynatrace natively to be seamless. Logs are immediately available for troubleshooting, security investigations, and auditing, becoming integral to the platform alongside traces and metrics.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

APRIL 24, 2024

To transparently manage expectations and maintain trust with our customers, we expanded the Dynatrace SLA beyond accessing the user interface to cover the full range of relevant product categories, such as processing and retaining incoming data, accessing and working with data, and triggering automations.

Azure 250

Azure Infrastructure Metrics AWS 250

Dynatrace

NOVEMBER 4, 2024

Dynatrace OpenPipeline is a new stream processing technology that ingests and contextualizes data from any source. Business process monitoring and optimization. Most of the use cases in these two broad categories benefit from the flexibility that comes from multiple available sources of business data. Improved data management.

Analytics 156

Analytics Airlines Metrics Monitoring 156

Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Contact me through any channels (we do have our Jira open to the Community, my email is available in the footnote, and I am present on LinkedIn).

Availability 80

Availability Open Source Strategy Storage 80

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. The selected rules can be configured for a whole environment or, more granularly, for specific process groups.

Government 220

Government Storage Tuning Monitoring 220

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. Ingest and process with Grail. Retain data.

Artificial Intelligence 277

Artificial Intelligence Analytics Storage Architecture 277

The Netflix TechBlog

OCTOBER 8, 2024

However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Storage Layer The storage layer for TimeSeries comprises a primary data store and an optional index data store. Note : With Cassandra 4.x

Latency 236

Latency Storage Traffic Tuning 236

Dynatrace

OCTOBER 9, 2024

Our partner community plays a vital role in facilitating this transition by effectively communicating the benefits of SaaS and ensuring a seamless migration process. This sentiment was later echoed by Andre van der Veen, who explained that TCO is one of the primary drivers for Mediro customers, alongside higher availability.

Innovation 183

Innovation Hardware Storage Cloud 183

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

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

OCTOBER 2, 2024

The Clouds app provides a view of all available cloud-native services. Logs in context, along with other details, are instantly available after selecting a resource. The reasons are easy to find, looking at the latest improvements that went live along with the general availability of the Logs app.

Analytics 247

Analytics AWS DevOps Cloud 247

KeyCDN

FEBRUARY 13, 2020

Push Zones are now seamlessly supporting Image Processing ! The complete feature set of Image Processing is now also available for Push Zones. Our edge servers are directly linked to our global storage cluster, which ensures faster loading times of images. It only takes a few steps to upload and transform images.

Processing 78

Processing Storage Latency Servers 78

Scalegrid

JANUARY 8, 2019

In Part I , we introduced a High Availability (HA) framework for MySQL hosting and discussed various components and their functionality. Simply put, in a MySQL semisynchronous replication configuration, the master commits transactions to the storage engine only after receiving acknowledgement from at least one of the slaves.

Availability 113

Availability Tuning Speed Network 113

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 176

Storage Healthcare Best Practices Speed 176

Scalegrid

FEBRUARY 1, 2024

Because of this, preserving the availability and integrity of the data stored in MySQL databases requires regular backups. Having MySQL backups for your database can speed up and simplify the recovery process. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension.

Efficiency 226

Efficiency Virtualization Hardware Performance 226

Dynatrace

OCTOBER 3, 2024

There is no need to think about schema and indexes, re-hydration, or hot/cold storage. Dynatrace Davis ® AI will process logs automatically, independent of the technique used for ingestion. Try it out yourself The capabilities highlighted in this blog post will be available in Dynatrace SaaS environments in the coming weeks.

Performance 258

Performance Architecture Innovation Latency 258

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. By prioritizing observability, organizations can ensure the availability, performance, and security of business-critical applications.

Cloud 192

Cloud Azure Artificial Intelligence Innovation 192

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

Availability 149

Availability Network Azure AWS 149

Dynatrace

JANUARY 4, 2024

Improving data quality is a strategic process that involves all organizational members who create and use data. It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration.

Government 212

Government Analytics Benchmarking Storage 212

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 293

Serverless AWS Lambda Storage 293

Dynatrace

OCTOBER 14, 2022

OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. Setting up rules on each scope can require creating matches for logs across specific paths or process groups, instructions for masking sensitive data, or picking up custom log sources. Host group.

Storage 239

Storage Government Network Monitoring 239

Dynatrace

JUNE 10, 2024

The nature of “anytime, anywhere” data generation means data is no longer confined to structured processes and can’t always be defined by existing policies. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. How do companies reliably find, review, and analyze this data?

Analytics 243

Analytics Network Open Source Hardware 243

Dynatrace

OCTOBER 4, 2022

Each process could generate multiple log entries, adding up to terabytes of data every day. Traditionally, teams struggle to centralize all these data silos through the process of indexing. In most data storage models, indexing engines enable faster access to query logs. The Dynatrace difference, powered by Grail.

Analytics 233

Analytics Storage Infrastructure Metrics 233