Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Observability on edge devices presents unique challenges compared to traditional data-center or cloud-based environments.

Retail 249

Retail Analytics Storage Cloud 249

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 206

Efficiency Virtualization Hardware Performance 206

Dynatrace

JUNE 9, 2023

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. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 177

DevOps Analytics Storage Metrics 177

Dynatrace

AUGUST 21, 2023

” But, he continues, ” Today’s environments present a completely different picture. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. during 2021–2026.

Analytics 143

Analytics Innovation Infrastructure Scalability 143

Scalegrid

JANUARY 12, 2024

While managing cloud workloads offers numerous benefits, it also presents several challenges such as security risks, compliance issues, and resource optimization, which can be addressed effectively with tools like ScaleGrid, offering features like encryption, disaster recovery, and real-time resource optimization for diverse databases.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail. It should offer user-friendly operation.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. A feature that enables you to present log data in a filterable table that is easy to work with. Log Viewer. Log Events.

AWS 211

AWS Transportation Network Traffic 211

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Everything is presented in the context of your RabbitMQ topology, both host and instance. Dynatrace news. This extension package contains: The Prometheus data source configuration.

Technology 210

Technology Technology Metrics Infrastructure 210

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Log Viewer enables users to present log data in a filterable, easy-to-use table and to browse log data within a certain time frame using detected aspects of the log content.

Traffic 208

Traffic AWS Network Cloud 208

Dynatrace

OCTOBER 14, 2022

If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. This allows you to create flexible and powerful log storage configurations on any level by utilizing the unique autodiscovery capabilities of Dynatrace OneAgent or a custom setup. Host group.

Storage 218

Storage Government Network Infrastructure 218

Scalegrid

JULY 17, 2020

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. Note: If a particular key is always present in your document, it might make sense to store it as a first class column.

Storage 321

Storage Database Efficiency Processing 321

Speed Curve

FEBRUARY 25, 2024

Guest profiles also start with empty caches, empty cookie stores, empty browser storage, etc. These may get populated during testing, but we can clear them at any time via Application > Storage > Clear Site Data in DevTools. Opening a guest profile in Chrome 2. As such, Input Delay is outside an interaction handler's control.

Analytics 91

Analytics Processing Google Mobile 91

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Data Lake Storage Gen1. The other perspective that’s presented on the Azure Automation dashboard is the state of your deployment runs. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1. Azure Data Factory v2. Azure Event Grid. Azure Event Hubs Cluster. Azure Maps Account.

Azure 151

Azure Cloud Tuning Monitoring 151

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). Metrics for each service instance are presented in detailed charts—see the example for ECS below. Dynatrace news.

AWS 135

AWS Metrics IoT Storage 135

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). Metrics for each service instance are presented in detailed charts—see the example for ECS below. Dynatrace news.

AWS 132

AWS Metrics IoT Storage 132

All Things Distributed

OCTOBER 16, 2019

Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning. Sometimes an internet connection is weak or not available at all, as is often the case in remote locations.

IoT 126

IoT Healthcare Internet Internet 126

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Let’s denote the number of the leading zeros as a rank.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. now a release candidate) SQL – Window Functions Present in MariaDB Server 10.2 In-development for MySQL 8.0 (now

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. 3 Log Analytics.

AWS 125

AWS Monitoring Ecommerce Lambda 125

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 73

Open Source Database Storage Scalability 73

Smashing Magazine

SEPTEMBER 20, 2021

We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services. Turning The Data Into Information.

Website 90

Website Analytics Cache Google 90

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 Netflix TechBlog

JULY 30, 2019

In this blog, we would like to present the latest updates to Conductor, address some of the frequently asked questions and thank the community for their contributions. Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows.

Lambda 189

Lambda Media Open Source Metrics 189

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Present-day applications make more much use of the database. Every element like text, navigation, headers, graphics, contact options, analytics, footers, contributes to the page load time. The list goes on and on.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. Data can be present in different formats, different databases and different types. Why test data management is so important.

Testing 60

Testing Storage Database Processing 60

All Things Distributed

AUGUST 16, 2011

One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Several agencies of very different parts of the government have needs for data analytics that really put the Big in Big-Data, sometimes several orders of magnitude larger than commonly found in industry. Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

Testsigma

FEBRUARY 12, 2021

Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. Present Artificial Intelligence investments in North America alone are estimated to hit USD 6-7 billion. This will rise in the coming year, according to industry analysts. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

SEPTEMBER 30, 2010

The AWS Events team is organizing a number of events where I will present together with a number of AWS customers: AWS Cloud Computing Event in Berlin on October 7 with AWS customers moviepilot , Cellular , Schnee von morgen and Plinga. AWS Solutions Architect Matt Tavis will present on " Architecting for the Cloud ". Contact Info.

AWS 75

AWS Storage Cloud Best Practices 75

All Things Distributed

JULY 3, 2011

Next to a presentation by me about HPC on AWS, there is a panel with Japanese HPC experts moderated by Dr Kazuyuki Shudo of Titec. I will be presenting about how CIO strategies for business continuity are changing in the light of increasing business agility. Driving Storage Costs Down for AWS Customers. At werner.ly

AWS 67

AWS Storage Cloud Big Data 67

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Patrick and Purvi doing performance and regression analytics. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90

All Things Distributed

APRIL 23, 2010

Ill be using that information in presentations and some future writings on this topic. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. blog comments powered by Disqus. Contact Info. Werner Vogels. CTO - Amazon.com. Other places.

AWS 60

AWS Storage Cloud Big Data 60

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. This 2GiB RAM, Android 9 stalwart features the all-too classic lines of a Quad-core A53 (1.4GHz, small mercies) CPU, tastefully presented in a charming 5.5" The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . For this reason sysbench presents a vastly more simplified workload than HammerDB. .

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

DECEMBER 5, 2020

This meant we could dispense with the TP-monitor, reduce the number of clients, reduce the storage and the schema size but still run similar transactions to the TPC-C specification so that it was running a scalable and repeatable workload in a CPU and memory intensive manner.

C++ 40

C++ Benchmarking Virtualization Open Source 40

SQL Performance

APRIL 23, 2019

Columnstore storage. To understand this, it is necessary to first review how columnstore storage works at a high level: A compressed row group contains a column segment for each column. Value encoding can reduce the number of bits required for storage by translating raw values using a base offset and magnitude modifier.

Servers 67

Servers Testing Metrics Storage 67