Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 101

AWS Benchmarking Performance Traffic 101

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

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 113

Storage Network Open Source Latency 113

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., In databases you probably know it as stored procedures. Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing

Serverless 99

Serverless Storage Latency Cloud 99

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

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

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 108

Performance Monitoring Traffic Database 108

Scalegrid

JANUARY 19, 2024

Data-bearing members face a higher risk of encountering issues caused by rollbacks, compared to others who utilize different storage methods. For example, memory-resident databases without persistent disks, such as Redis cluster setups or Apache Spark installations, rely on stand-alone machines.

Database 130

Database Network Servers Monitoring 130

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Read/Write latency. Data Placement. System Coordination.

Database 213

Database Latency C++ Scalability 213

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 117

Latency Performance Virtualization Infrastructure 117

The Morning Paper

FEBRUARY 6, 2020

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. Updates should be allowed at any function invocation site.

Lambda 98

Lambda Serverless Cache Latency 98

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

Percona

JANUARY 24, 2023

Such “torn pages” are corruptions from the database point of view. This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. Individual processes generate WAL records, and latency is very crucial for transactions. This is generally referred to as “ partial page writes ” or “ torn pages.”

Database 120

Database Benchmarking Open Source Latency 120

Smashing Magazine

SEPTEMBER 28, 2022

Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time.

Performance 125

Performance Cache Servers Social Media 125

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. It’s limited by the laws of physics in terms of end-to-end latency. federated machine learning and federated database management systems) seems a reasonable way of describing what’s going on here.

Cloud 104

Cloud Big Data Latency Architecture 104

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. This level of distribution will seriously affect the efficiency of the operation, which will increase the response time significantly. This is it. The POC Why this POC?

Traffic 127

Traffic Scalability Database Servers 127

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. However, no matter the specific word used, the meaning is the same: remote method calls over HTTP.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. The CFQ works well for many general use cases but lacks latency guarantees.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 36

Latency Performance Virtualization Infrastructure 36

O'Reilly Software

APRIL 30, 2018

Modern hybrid applications typically utilize public cloud components, including content delivery networks and cloud storage. When a user makes an application request, DNS locates the data records, and determines the best and most efficient location from which to retrieve the data based on the location of the user.

Cloud 68

Cloud Traffic Internet Internet 68

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. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

AUGUST 5, 2019

Database & functional migration. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with! Step 4: Smart Database Migration. What’s the current performance of key database queries and stored procedures?

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. Stable Media Stable media is often confused with physical storage.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? SQL Server 2005 introduces the snapshot database feature for point-in-time databases ​​ and online DBCC operations.

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. Our system doesn’t require strict consistency guarantees and does not use database transactions.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. It leverages Netflix Scheduler for scheduling the Bulldozer Jobs. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience.

Media 145

Media Games Education Engineering 145

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

High Scalability

SEPTEMBER 8, 2018

New databases used to be announced seemingly every week. While database neogenesis has slowed down considerably, it has not gone necrotic. Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. The straightforward approaches for implementation of this system are: Log all events in a large storage like Hadoop and compute unique visitor periodically using heavy MapReduce jobs or whatever. References.

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Enter graph databases.

Database 134

Database Logistics Availability Social Media 134