Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

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

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. Such a design rules out an entire class of application errors, protecting private data from accidentally leaking. HotOS’19. Managing universes.

Database 90

Database Cache Benchmarking Efficiency 90

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 199

Open Source Social Media Infrastructure Operating System 199

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 202

AWS Best Practices Analytics Cloud 202

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL.

Open Source 86

Open Source Storage Database Big Data 86

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., In designing a blockchain-friendly provenance mechanism, three aspects unique to the blockchain environment differentiate the problem from that of traditional database provenance: There are no higher-order data operators (e.g. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. Most recently, in StackOverflow’s 2022 Stack Developer Survey , PostgreSQL took a slight lead over MySQL (46.48% to 45.68%) as the most popular database platform among professional developers. What is PostgreSQL used for? Is PostgreSQL enterprise-ready?

Open Source 77

Open Source Healthcare Social Media Database 77

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

InfoQ

JUNE 26, 2023

Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. By Steef-Jan Wiggers

Azure 88

Azure Serverless Performance Storage 88

Percona

JULY 25, 2023

Percona XtraBackup performs crash recovery on the files to make a consistent, usable database again. The redo apply phase wouldn’t make the database consistent with respect to a transaction. Old design (until Percona XtraBackup 8.0.33-27): New design (from Percona XtraBackup 8.0.33-28) ibd2sdi data/test/t1.ibd

Cache 84

Cache Benchmarking Servers Design 84

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

Smashing Magazine

SEPTEMBER 28, 2022

On design systems, UX, web performance and CSS/JS. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. In a common WebSocket architecture, the Front-end application will connect to a WebSocket API, an event bus, or a database. More after jump!

Cache 127

Cache Performance Servers Social Media 127

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

MARCH 8, 2024

With MySQL point-in-time recovery , you can restore your database to the moment before the problem occurs. Preparation for PITR is crucial and involves enabling binary logging and creating a full database backup. It is important to begin with a thorough database backup to prepare for such situations.

Database 162

Database Strategy Servers Best Practices 162

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. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. Memcached’s primary strength lies in its simplicity.

Cache 130

Cache Storage Scalability Architecture 130

Testsigma

MAY 7, 2020

All data management tasks included moving data from back-end systems to identifying test data, data masking of sensitive data, skipped production defects due to unavailability of correct test data, manipulation of data for different scenarios, storage of test data.”. The actual production databases are copied or cloned in this approach.

Testing 60

Testing Storage Database Processing 60

Percona

OCTOBER 18, 2023

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier.

Open Source 90

Open Source Database Hardware Strategy 90

Percona

AUGUST 30, 2023

Data powers everything, and unlike coal and coal combustion, data and databases aren’t going away. In this blog, we’ll focus on the elements of database backup and disaster recovery, and we’ll introduce proven solutions for maintaining business continuity, even amid otherwise dire circumstances.

Database 86

Database Hardware Open Source Strategy 86

The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 163

Testing AWS Lambda Network 163

ACM Sigarch

OCTOBER 4, 2018

For example, consider a database system that is distributed across a data center, or even across data centers. On the other hand, one can implement this system with encryption/decryption units between the compute and the storage. Second, as the trust boundary grows, the classes of adversary that can permeate that boundary increases.

Systems 47

Systems Hardware Storage Healthcare 47

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

JULY 17, 2020

Why should a relational database even care about unstructured data? JSON database in 9.2 It is useful to validate incoming JSON and store in the database. JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. JSONB storage results in a larger storage footprint.

Storage 321

Storage Database Efficiency Processing 321

Percona

AUGUST 2, 2023

Restoring a MySQL database backup is a crucial task that can sometimes be time-consuming, especially for large databases. Linux native Input/Output (I/O) statistics Pipe viewer utility By following these approaches, we can effectively monitor the restoration process and manage your MySQL database restoration efficiently.

Database 81

Database Monitoring C++ Speed 81

Tasktop

JANUARY 9, 2020

Given that most large-scale organizations use at least three main tools in their software delivery toolchains (for development, testing and support), the cost of data extraction and storage begins to stack up and fast. Furthermore, many SaaS vendors purge data periodically to save on storage, limiting your access to historical data.

Software 59

Software Software Metrics Database 59

All Things Distributed

JUNE 29, 2011

AWS also applies the same customer oriented pricing strategy: as the AWS platform grows, our scale enables us to operate more efficiently, and we choose to pass the benefits back to customers in the form of cost savings. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. or rss feed.

AWS 104

AWS Retail Innovation Strategy 104

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 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

AUGUST 9, 2023

MySQL 8 brought a significant architectural transformation by replacing the traditional MyISAM-based system tables with the Transaction Data Dictionary (TDD), a more efficient and reliable approach. The primary goal of the Transaction Data Dictionary (TDD) is to enhance the overall performance, stability, and scalability of MySQL databases.

Database 76

Database Storage Scalability Games 76

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 273

Serverless AWS Lambda Storage 273

Scalegrid

DECEMBER 28, 2023

Managing vast datasets effectively is an essential requirement for modern applications, and MongoDB , a leading NoSQL database, offers robust solutions for this requirement. How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. limit(number).

Best Practices 130

Best Practices Efficiency Strategy Speed 130

All Things Distributed

AUGUST 18, 2011

Amazon Elastic MapReduce takes away much of this muck by providing a hosted Hadoop framework that enables businesses, researchers, data analysts, and developers to easily and efficiently spin up resizable clusters for distributed processing of large data sets. However, this cannot be done without efficient, scalable data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

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. Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Dynatrace news.

Storage 181

Storage Database Network Metrics 181