Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 182

Analytics Artificial Intelligence Big Data Open Source 182

Testlodge

NOVEMBER 12, 2021

Hardware Compatibility Testing: In this scenario, an application is tested against various hardware configurations to check behavior. As well as consulting the requirements, Google Analytics is the most comprehensive way to obtain information about the most widely used browsers along with a list of their versions and operating systems.

Testing 78

Testing Hardware Operating System Mobile 78

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications?

Cloud 171

Cloud Open Source Architecture Monitoring 171

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

CSS Wizardry

OCTOBER 27, 2018

Once in production, our site will likely look very different to how it did in our development environment: tag managers have kicked in, your ads are on the site, your analytics package is capturing data, and all third parties are implemented and running. How: RUM tooling, analytics, monitoring. When: Constantly in live environments.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Dotcom-Montior

OCTOBER 6, 2021

trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues. that are required to keep the software deployments live are running efficiently.

Engineering 67

Engineering DevOps Monitoring Google 67

O'Reilly

SEPTEMBER 15, 2021

Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. We also asked respondents what tools they used for statistics and machine learning and what platforms they used for data analytics and data management.

Azure 145

Azure Social Media Programming AWS 145

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. When Tom Tom launched the LBS platform they wanted the ability to reach millions of developers all around the world without having them invest a lot of capital upfront in hardware and building expensive data centers so turned to the cloud.

Cloud 129

Cloud Energy AWS Healthcare 129

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. Data pipeline initiatives are generally unfinished projects.

Latency 63

Latency Analytics Scalability Engineering 63

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option. Open source analytics tools can give you this information – but not in real-time.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option. Open source analytics tools can give you this information – but not in real-time.

Performance 40

Performance Hardware Latency Infrastructure 40

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. If you’re finicky about analytics — Testsigma’s customizable analytics dashboard lets you track the progress and productivity of the project and the team.

Cloud 57

Cloud Testing Storage DevOps 57

Tasktop

APRIL 8, 2021

This company was undergoing a digital transformation to augment its hardware products with digital offerings and was committed to creating a digital platform. Today marks the release of a whole new set of analytics for technology leaders that we are releasing for Tasktop Viz called VSM Portfolio Insights.

Innovation 52

Innovation DevOps Analytics Scalability 52

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. It seems to have become more-or-less ubiquitous on the web for everyone to analyze what their website’s visitors do via tools like Google Analytics, KISSmetrics, Piwik, etc.

Website Performance 73

Website Performance Website Energy Performance 73

Smashing Magazine

AUGUST 3, 2021

Different browsers running on different platforms and hardware, respecting our user preferences and browsing modes (Safari Reader/ assistive technologies), being served to geo-locations with varying latency and intermittency increase the likeness of something not working as intended.

Network 145

Network Engineering Availability Monitoring 145

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. OpsGenie also provides features like reporting and analytics so teams can view and track incident response metrics and efficiencies. Change management is also sometimes grouped with release management. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

The Agile Manager

MAY 31, 2020

Testing, treatments and analytics may result in far less draconian methods of containment. Airlines and commercial airplane manufacturers will similarly be given new marching orders. Little or none of this may come to pass, of course.

Airlines 52

Airlines Government Hardware Technology 52

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

All Things Distributed

MARCH 13, 2017

Job openings for machine learning scientists, data analytics experts, IT security experts or developers are already difficult to fill, and the demand for this knowledge will increase significantly in the next few years as customers show their demand for digital engagements.

Social Media 84

Social Media Retail Automotive Innovation 84

All Things Distributed

DECEMBER 20, 2017

If data take center stage then companies must learn how to create added value out of it – namely by combining the data they own with external data sources and by using modern, automated analytics processes. We need mechanisms that enable the mass production of data using software and hardware capabilities.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. NSDI’20.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

All Things Distributed

JULY 13, 2010

Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it). until today.

Cloud 118

Cloud AWS Automotive Latency 118

Scalegrid

DECEMBER 21, 2023

They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations. Taking protective measures like these now could protect both your data and hardware from future harm down the line.

Strategy 130

Strategy Monitoring Latency DevOps 130

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. In terms of analytics and the TPROC-H workload derived from TPC-H, this specification does not require middleware so when running TPROC-H you are close to the specification, however there remain differences.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

APRIL 5, 2012

More recently weve expanded our platform to include additional forms of user interaction observation in support of our real-time analytics – here weve begun to leverage NoSQL technologies like Redis. Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing.

Innovation 146

Innovation AWS Education Network 146

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. CORE The CORE team uses Python in our alerting and statistical analytical work. The network devices that underlie a large portion of the CDN are mostly managed by Python applications.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 165

Architecture Availability Infrastructure Monitoring 165

Highly Scalable

AUGUST 20, 2013

Incremental computations over sliding windows is a group of techniques that are widely used in digital signal processing, in both software and hardware. This observation suggests that incremental processing might be used. A typical example is a computation of the sum function.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams.

Serverless 258

Serverless Infrastructure Innovation DevOps 258

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 295

Open Source Traffic DevOps Cloud 295

Dynatrace

DECEMBER 16, 2021

Dynatrace’s RUM for Mobile Apps provides crash analytics by default. Because Synthetic tests are predictable and eliminate any seasonal behavior or impact of the end user’s environment (defect hardware, bad Wi-Fi, etc.). Mobile Crashes. For our SLO the only thing we need is the default Mobile Crash Rate metric.

DevOps 197

DevOps Social Media Mobile Metrics 197

All Things Distributed

OCTOBER 7, 2015

On-premise BI tools also require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. We believe this provides a simple way for users to deriving valuable insights without too much work.

Cloud 137

Cloud Big Data AWS Analytics 137

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Dynatrace

AUGUST 12, 2020

With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. Simplify error analytics. These functions are usually triggered by events, therefore, Microsoft Azure is also commonly described as “event-driven FaaS.”

Serverless 232

Serverless Azure Monitoring Lambda 232