Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). A topological link to an entity only makes sense, of course, if the measurement that’s sent to Dynatrace has a semantic relationship to that entity.

Metrics 243

Metrics Analytics Storage Monitoring 243

Dynatrace

SEPTEMBER 30, 2021

You will learn how to use AWS services ranging from collection (for example, Amazon Kinesis and AWS IoT Core) to storage (for example, S3 + Glacier and DynamoDB) to processing (for example, AWS Lambda and Amazon ML) and beyond. Machine learning. There are many ways to prepare for your AWS certification exam.

AWS 202

AWS Best Practices Analytics Cloud 202

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing.

Analytics 190

Analytics Processing Transportation Storage 190

Percona

AUGUST 1, 2023

In this blog, we’ll explore the process of altering VARCHAR columns online, delving into insights gained while expanding the size of such columns. After changing the VARCHAR column size to 200, the following is the storage requirement. Understanding the underlying storage mechanics is vital for successful alterations.

Storage 78

Storage Database Open Source Engineering 78

Dynatrace

FEBRUARY 9, 2021

The masking process takes place on the device, even before screenshots are saved to local storage to guarantee that confidential information is never revealed. Of course, we’re working to support Session replay for Android app crash analysis too, so stay tuned for updates! Select the Instrumentation settings tab.

Mobile 186

Mobile Tuning Monitoring Storage 186

Percona

AUGUST 17, 2023

PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting.

Open Source 77

Open Source Healthcare Social Media Database 77

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets. But in MariaDB Server 10.2,

Open Source 52

Open Source Servers Storage Scalability 52

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

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.). in the cloud).

Mobile 104

Mobile Cloud Latency Games 104

Randon ASCII

SEPTEMBER 8, 2019

While CPU Usage (Precise) is great for seeing how much CPU time a process is using, and why it is sitting idle, the CPU Usage (Sampled) table is the right tool for figuring out where CPU time is being spent. 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

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly Syndication. Subscribe to this weblogs.

Servers 126

Servers Social Media AWS Website 126

Smashing Magazine

FEBRUARY 8, 2022

Statoscope: A Course Of Intensive Therapy For Your Bundle. Statoscope: A Course Of Intensive Therapy For Your Bundle. This is all part of Webpack’s optimization process, in order to reduce the size of output assets. We can import information from our metric storage into data. Sergey Melukov. 2022-02-08T10:00:00+00:00.

Storage 80

Storage Code Metrics C++ 80

Apica

OCTOBER 17, 2022

As a consequence, devtest teams often turned away from testing user journeys, and focused their attention elsewhere, creating several new side effects in the process. Customers can browse the app, configure the dinner, complete a transaction, charge a credit card – but that’s all par for the course – not the user journey we are testing now.

Retail 52

Retail Website Infrastructure Software Architecture 52

Dynatrace

OCTOBER 4, 2022

The aforementioned principles have, of course, a major impact on the overall architecture. 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). Ingest and process with Grail. Grail architectural basics.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52

Tuning Efficiency Database Performance 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. This allows decision makers to maximize their situational awareness in rapidly evolving situations.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. This allows decision makers to maximize their situational awareness in rapidly evolving situations.

Logistics 52

Logistics Analytics Scalability Cloud 52

Scalegrid

JULY 17, 2020

JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. whitespace) and ordering of the keys.

Storage 321

Storage Database Efficiency Processing 321

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Contractors that don’t want to pay publishers?

Blockchain 94

Blockchain Internet Internet IoT 94

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The process model, user-kernel interactions, dynamic linking, and memory management concerns are all in scope, and the protection spans the OS/DBMS boundary. ASPLOS’19.

C++ 61

C++ Hardware Virtualization Benchmarking 61

The Symphonia

JUNE 19, 2018

Some in-depth and unusual client work (want to encrypt a petabyte of S3 storage? Of course just presenting dangers is not enough, and for each ‘gotcha’ I also presented a number of mitigations. A particularly thorny part of this was encrypting billions of objects in a petabyte’s worth of S3 storage.

Serverless 40

Serverless AWS DevOps Open Source 40

SQL Performance

JUNE 10, 2020

This month and the next I’m going to cover the physical processing aspects of derived tables. That is, does SQL Server perform a substitution process whereby it converts the original nested code into one query that goes directly against the base tables? And if so, is there a way to instruct SQL Server to avoid this unnesting process?

C++ 109

C++ Database Servers Code 109

Edge Perspectives

JUNE 24, 2019

The foundation is a digital infrastructure that is exponentially improving in terms of processing power, storage capability and transmission speed. And, of course, social media makes it possible for us to share news about ourselves to a large and growing number of friend, acquaintances and followers.

Social Media 84

Social Media Wireless Media Technology 84

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. " " Running end-user compute inside the datastore is not without its challenges of course. . "

Serverless 99

Serverless Storage Latency Cloud 99

Smashing Magazine

SEPTEMBER 20, 2021

And of course, scrapers could scrape your site to look for security vulnerabilities or exposed contact or sales lead details. They all generally are instrumented as JavaScript processes that are loaded onto your site’s web pages through a tag or snippet of loader code. Ad Scraping. Identifying Threats Through Regular Reporting.

Website 90

Website Analytics Cache Google 90

SQL Performance

JUNE 10, 2020

This month and the next I’m going to cover the physical processing aspects of derived tables. That is, does SQL Server perform a substitution process whereby it converts the original nested code into one query that goes directly against the base tables? And if so, is there a way to instruct SQL Server to avoid this unnesting process?

C++ 93

C++ Database Servers Code 93

The Morning Paper

OCTOBER 22, 2019

The authors place it within the overall analysis process like this: That looks a lot more waterfall-like than my experience of reality though. Once into the EDA process, another major challenge, that we’ve also looked at in the context of machine learning pipelines (e.g. SQL databases and spreadsheets (of course!!)

Programming 40

Programming Software Engineering Database Analytics 40

SQL Performance

OCTOBER 20, 2022

The engine processes the row through parent operators before releasing the shared lock prior to locking and reading the next row. When the engine chooses page-level locking granularity, it takes and holds a shared page lock while processing rows on the current page and then releases the lock right before acquiring a lock on the next page.

Testing 91

Testing Servers Cache Engineering 91

All Things Distributed

APRIL 5, 2012

Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing. The best part was that the entire process was what I call Ã?hands Troy: The initial architecture was based on MySQL– weve continued with use of SQL but are now leveraging RDS. hands freeÃ?

Innovation 146

Innovation AWS Education Network 146

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data.

Processing 72

Processing Hardware Database Azure 72

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 129

Cloud Energy AWS Healthcare 129

Tasktop

DECEMBER 18, 2019

If you are not familiar with the functional programming or data storage concepts that come up, talk to one of your developers who do. Over the course of days she follows the flow of that ticket through departmental silos and multiple tracking systems. This is another place where the book will be a great tool for your journey.

Software Architecture 45

Software Architecture Architecture Metrics Software 45

KeyCDN

OCTOBER 31, 2019

It also makes for a good crash course on the tools if you haven’t used them before. In the Application panel go to Storage > Cookies to either clear all cookies or an individual cookie. Clear Cookies You can also easily clear cookies from the Chrome DevTools.

Google 85

Google Website Network Media 85

KeyCDN

OCTOBER 17, 2019

AVIF Applications The main application of AVIF has to do with producing high quality compressed photos that lose as little quality as possible during the compression process. This speeds up page loading times, increases website storage capabilities, and allows web pages to be accessed even in low speed areas.

Media 43

Media Internet Internet Speed 43

CSS Wizardry

APRIL 2, 2018

If you want to listen to the track—of course you do, it’s stunning—then you’ll have to make do with the YouTube version. It turns out that SongShift for iOS is the perfect tool to help with that process. Know anywhere I can get hold of a ‘dubious’ copy of this track? I’ll donate £25 to a charity of your choosing (DMs are open).

Website 108

Website Media Hardware Monitoring 108

Percona

AUGUST 30, 2023

An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup. Choosing the right backup frequency: The appropriate frequency, of course, will vary from one organization to another. It’s suitable for databases with moderate change rates.

Database 86

Database Hardware Open Source Strategy 86

Adrian Cockcroft

JUNE 21, 2022

Our team also produced The Guide to High Availability by storage expert Jeannie Johnstone Kobert, Sun Cluster Environment by Enrique Vargas, Solaris PC Netlink by Don Devitt (we had a great team outing near Boston on his sailboat), and several other books.

Tuning 52

Tuning Benchmarking Engineering C++ 52