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 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 147

Storage Latency Operating System Network 147

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

Availability 246

Availability Hardware Latency Traffic 246

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. 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 17, 2024

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 221

Strategy Artificial Intelligence Storage Cloud 221

Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. Here are some ways observability data is important to mobile app performance monitoring. Load time and network latency metrics. Issue remediation. Proactive monitoring.

Best Practices 197

Best Practices Mobile Metrics Performance 197

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. Graph Data Models.

Design 334

Design Media Storage Logistics 334

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

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 213

Efficiency Virtualization Hardware Performance 213

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. Storage container metrics Track the usage and performance of storage containers to optimize resource allocation.

Virtualization 192

Virtualization Storage Metrics Monitoring 192

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Now, let’s take a look at the throughput and latency performance of our comparison. PostgreSQL DigitalOcean Latency Averages (ms).

Database 230

Database Latency Benchmarking Performance 230

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " A tenant should not be able to see the code or data of other tenants (isolation).

Serverless 99

Serverless Storage Latency Hardware 99

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

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

Dynatrace

APRIL 8, 2024

Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Risk functions realize unprecedented visibility and control through the following: Automated aggregation of data from disparate sources.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. It provides a good read on the availability and latency ranges under different production conditions. For instance, envision a response payload that delivers media streams for a playback session.

Traffic 339

Traffic Latency Tuning Systems 339

InfoQ

JUNE 16, 2023

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz

Architecture 55

Architecture Scalability Latency Traffic 55

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. In this blog, we will discuss both data and network-level compression offered in MongoDB.

Storage 108

Storage Network Open Source Latency 108

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

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Does it affect latency? Yes, you can see an increase in latency. EC2 instances. VM instances.

Azure 344

Azure AWS Database Latency 344

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 125

Cache Performance Servers Social Media 125

All Things Distributed

JUNE 7, 2017

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. In recent years, an explosion of intelligent devices have created oceans of new data across many industries. This is because data gets more valuable when it can be processed together with other data. Law of Economics. Law of the Land.

AWS 120

AWS IoT Lambda Storage 120

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. 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

Dynatrace

JUNE 1, 2023

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Latency 176

Latency Website Traffic Virtualization 176

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

DZone

JULY 10, 2019

The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS. In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance.

Best Practices 133

Best Practices Latency Storage Tuning 133

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 1, 2023

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 246

AWS Efficiency Azure Cloud 246

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 96

AWS Benchmarking Performance Traffic 96

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 116

Storage AWS Virtualization Cloud 116

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O.

Latency 79

Latency Cache Programming Operating System 79

Percona

MARCH 13, 2023

There is a section in our Documentation ( Introduction to Serverless PostgreSQL ) and a short overview of the primary components: Page Server The storage server with the primary goal of storing all data pages and WAL records Safe Keeper A component to store WAL records in memory (to reduce latency). 5454 --listen-http=0.0.0.0:7676

Serverless 117

Serverless C++ Storage Latency 117

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 104

Database Benchmarking Latency C++ 104