Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Dynatrace news.

Analytics 214

Analytics Storage Retail Monitoring 214

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 246

AWS Efficiency Azure Cloud 246

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Dynatrace news.

Analytics 181

Analytics Storage Retail Monitoring 181

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

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. A given consumer only processes each message once.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. A given consumer only processes each message once.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Percona

NOVEMBER 20, 2023

Although the introduction of physical backups in Percona Backup for MongoDB (PBM) made it possible to significantly cut the restore time for big datasets, it’s hard to beat snapshots in speed and efficiency. Then, it copies files to the storage. The idea came from the requests to bring EBS snapshots into PBM.

Storage 85

Storage Database Strategy Speed 85

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 107

Performance Monitoring Traffic Database 107

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

Percona

SEPTEMBER 19, 2023

Now, since backup speed and compactness are important for busy, important databases, Percona’s open source physical backup solution – Percona XtraBackup (PXB) , takes into account all these aspects and benefits MySQL world with its exceptional capabilities! The read speed is too slow, which usually is a sign of IO congestion.

C++ 109

C++ Servers Storage Speed 109

Scalegrid

JANUARY 19, 2024

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. This particular write concern prioritizes data longevity over reading speed.

Database 130

Database Network Servers Monitoring 130

Percona

APRIL 14, 2023

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Consolidate workloads: In the past, you might have wanted to split out additional replicas or cluster nodes to process specific types of workloads, such as those related to reporting.

Database 83

Database Serverless Tuning Cloud 83

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency.

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

Percona

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Efficiency 266

Efficiency Architecture Energy Monitoring 266

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

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

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Data-loading patterns are one way you can optimize your applications’ speed.

Performance 125

Performance Cache Servers Social Media 125

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). for the wasm-version.

Mobile 104

Mobile Cloud Latency Games 104

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Scalability Architecture 130

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 91

Storage Engineering Database Hardware 91

Tasktop

OCTOBER 29, 2020

Beneath the question lies a fear — always legitimate, but especially so in a year of economic distress and highly constrained budgets — that a VSM tool will simply expose what is already known: “Our processes, workflows and tools are a mess. After we’ve cleaned up our act and matured our processes, we’ll finally be ready for a VSM tool.” .

Storage 52

Storage Speed C++ DevOps 52

SQL Performance

MARCH 17, 2020

This machine has four i7 CPUs (hyperthreaded to 8) with a base speed of 2.4GHz. The Sort only has 19 rows to process, so it consumes only 1ms or so. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). It has 32GB RAM, with 24GB available to the SQL Server 2019 instance.

Servers 86

Servers Tuning Database Efficiency 86

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. Each caters to specific needs.

Database 162

Database Strategy Servers Best Practices 162

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Smashing Magazine

NOVEMBER 2, 2021

Cost-Efficient And Effort-Saving Development. This also implies that you don’t have to spend additional time and money on creating a PWA to suit various devices, greatly speeding up time-to-market. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage.

Code 74

Code Cache Retail Mobile 74

Scalegrid

FEBRUARY 1, 2024

Having MySQL backups for your database can speed up and simplify the recovery process. 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.

Best Practices 130

Best Practices Storage Strategy Database 130

Abhishek Tiwari

JULY 22, 2023

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. However, amidst the drive for speed, ensuring policy compliance is often overlooked, leading to potential security vulnerabilities and compliance risks.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Scalegrid

DECEMBER 28, 2023

One such solution is pagination, which divides large datasets into manageable “pages” of data to be displayed or processed. How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

O'Reilly

DECEMBER 16, 2019

Gem and Tierion are startups working different aspects of data storage, verification and sharing (both partnered with Philips Healthcare), while Hu-manity.co In fast growing markets, like Africa, this could enable the company to meet demand more efficiently by making it possible to work with more farmers. Advertising.

Blockchain 63

Blockchain Retail Innovation Healthcare 63

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 267

Artificial Intelligence Analytics Storage Architecture 267

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.

Analytics 221

Analytics Storage Infrastructure Metrics 221

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. Time-efficient.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

MARCH 11, 2015

From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics. Cloud based analytics change this completely.

Analytics 135

Analytics Cloud Healthcare Retail 135