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

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 185

DevOps Analytics Storage Metrics 185

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. What is Microsoft Hyper-V?

Efficiency 216

Efficiency Virtualization Hardware Performance 216

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. By identifying subtle deviations in system behavior, engineers can take preemptive measures to avert potential downtime, performance issues, or security threats. Capacity planning.

Artificial Intelligence 264

Artificial Intelligence DevOps Analytics Engineering 264

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. In this article, we will show you how to tune Trino by helping you identify performance bottlenecks and provide tuning tips that you can practice. But how do we do that?

Tuning 152

Tuning Speed Performance Open Source 152

DZone

JUNE 3, 2019

Using local SSDs inside of the GPU node delivers fast access to data during training, but introduces challenges that impact the overall solution in terms of scalability, data access, and data protection.

Storage 100

Storage Performance Network Scalability 100

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 FinTech Artificial Intelligence Performance 100

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. What is mobile app performance? Issue remediation.

Best Practices 200

Best Practices Mobile Metrics Performance 200

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldn’t be stingy. It is important to note how much data the client needs to download. But isn’t waiting for the data the point? Large preview ).

Cache 125

Cache Performance Servers Social Media 125

InfoQ

MAY 15, 2023

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 110

Storage Systems Scalability Cloud 110

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. The consequences of rollbacks are significant and should not be underestimated.

Database 130

Database Network Servers Monitoring 130

Dynatrace

OCTOBER 17, 2023

In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. out of 5.00.

Monitoring 227

Monitoring Artificial Intelligence Performance Analytics 227

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 278

Efficiency Performance Analytics DevOps 278

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

n0derunner

JULY 1, 2022

I was recently asked to investigate why Nutanix storage was not as fast as a competing solution in a PoC environment. When I looked at the output from diskspd, the data didn’t quite make sense. appeared first on n0derunner.

Storage 52

Storage Testing Performance Benchmarking 52

DZone

NOVEMBER 25, 2023

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. The New Decision Matrix: Beyond Performance Metrics Performance metrics are pivotal, no doubt. Yet, they are often evaluated in isolation, removed from the business context.

Database 268

Database Latency Speed Metrics 268

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper describes the design decisions behind the Snowflake cloud-based data warehouse. An increasingly large fraction of data in modern workloads comes from less predictable and highly variable sources. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

DZone

JANUARY 29, 2020

One day I faced the problem with downloading a relatively large binary data file from PostgreSQL. There are several limitations to store and fetch such data (all restrictions could be found in official documentation ). To resolve the problem it was suggested to find more suitable data storage.

Storage 124

Storage Efficiency Testing Database 124

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The data generated by applications to support operational teams has reached overwhelming proportions. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms.

Retail 239

Retail Storage Best Practices Architecture 239

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient.

Virtualization 195

Virtualization Storage Metrics Monitoring 195

Dynatrace

AUGUST 26, 2020

“ Dynatrace just makes observability easy—it works out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources.” We’re continuously investing in performance optimizations, high availability, and resilience for Dynatrace Managed deployments. Dynatrace news.

Performance 150

Performance Hardware Java Storage 150

DZone

MAY 30, 2019

With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing.

Artificial Intelligence 100

Artificial Intelligence Social Media FinTech Storage 100

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 242

Azure Infrastructure Metrics AWS 242

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 260

Retail Analytics Storage Cloud 260

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Starting with OneAgent version 1.199, the runtime folder is configurable and consequently you can retain your storage mount point setup as-is.

Storage 148

Storage Latency Operating System Network 148

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory? MySQL does.

Cache 88

Cache Efficiency Database Monitoring 88

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

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. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

OCTOBER 30, 2023

Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation. From performance issues to vulnerabilities, problems can crop up anywhere in the software development pipeline. But it is not only the number of clusters that matters, but also the storage underneath.

Engineering 247

Engineering DevOps Innovation Storage 247

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models.

Design 334

Design Media Storage Logistics 334

DZone

JUNE 5, 2023

With the exponential growth of data, we create and optimize infrastructure that enables large-scale model training and overcomes the performance bottleneck while reducing the cost of data storage and computation. The group owns the world’s largest mobile payment platform Alipay, which serves over 1.3

Storage 223

Storage Mobile Infrastructure Performance 223

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. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 217

Analytics Storage Retail Monitoring 217

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 203

Analytics Infrastructure Efficiency Technology 203

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. To serve the increasing number of push down queries, the in-memory storage layer would need to scale up as well, and it became clear that this would push the already expensive storage costs far higher.

Storage 288

Storage Cache Metrics Database 288

DZone

JUNE 15, 2023

In the realm of production applications, it is customary to address performance bottlenecks such as CPU and memory issues in order to identify and resolve their underlying causes. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Government.

Artificial Intelligence 209

Artificial Intelligence Healthcare Retail Government 209

DZone

DECEMBER 14, 2021

Metadata synchronization (sync) is a core feature in Alluxio that keeps files and directories consistent with their source of truth in under-storage systems, thus making it simple for users to reason the data retrieved from Alluxio. Meanwhile, understanding the internal process is important in order to tune the performance.

Design 244

Design Storage Tuning Systems 244