Dynatrace

OCTOBER 23, 2023

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. Therefore, they experience how the application code functions and how the application operations depend on the underlying hardware resources and the operating system managed by Hyper-V.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

JULY 24, 2024

By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Availability 279

Availability Infrastructure Metrics Hardware 279

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 107

Analytics Cloud Healthcare Retail 107

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Although modern cloud systems simplify tasks, such as deploying apps and provisioning new hardware and servers, hybrid cloud and multicloud environments are often complex.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

AUGUST 8, 2024

To cope with the risk of cyberattacks, companies should implement robust security measures combining proactive preventive measures such as runtime vulnerability analytics , with comprehensive application and perimeter protection through firewalls, intrusion detection systems, and regular security audits.

Software 290

Software Software Infrastructure Network 290

DZone

APRIL 26, 2022

This is a republish of a blog on VentureBeat by Wei Li, Intel VP/GM, AI and Analytics (AIA). What’s more is that this AI performance boost driven by software optimizations is free, requiring almost no code changes or developer time and no additional hardware costs.

Software 130

Software Software Performance Hardware 130

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 280

Open Source Network Infrastructure Big Data 280

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 246

Serverless Azure Monitoring Lambda 246

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 334

Open Source DevOps Traffic Cloud 334

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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 312

Serverless Infrastructure Innovation DevOps 312

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 217

Serverless Azure Monitoring Lambda 217

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 219

Performance Testing Testing Performance Strategy 219

Dynatrace

NOVEMBER 22, 2022

Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. With monitoring data consolidated into a single AI-enabled analytics platform, teams can automate operations and incident response. Automate IT operations.

Infrastructure 246

Infrastructure Availability Systems Retail 246

The Netflix TechBlog

JANUARY 13, 2022

Detection of Platform-wide Issues Pensive does error classification on individual workflow step failures, but by doing real-time analytics on the errors detected by Pensive using Apache Kafka and Apache Druid, we can quickly identify platform issues affecting many workflows. In the future, we are looking to automate this process.

Big Data 242

Big Data Infrastructure Metrics Games 242

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 189

Architecture Availability Infrastructure Metrics 189

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 246

DevOps Social Media Mobile Metrics 246

Dynatrace

OCTOBER 28, 2020

And even Digital business analytics. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest software releases twice a year. AIOps for automating the identification and resolution of problems.

Monitoring 225

Monitoring Systems Infrastructure Cloud 225

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 245

Cloud Open Source Architecture Monitoring 245

Dynatrace

DECEMBER 20, 2019

And there’s so much more: Infrastructure monitoring with integrations to all leading cloud providers, AIOps to automate the identification and resolution of problems, Digital Experience Management ( Synthetic Monitoring , Real User Monitoring including Session Replay ), And even Digital business analytics.

Infrastructure 189

Infrastructure Cloud Monitoring Government 189

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

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

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 112

Cloud Big Data AWS Analytics 112

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

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. You should also review your hardware resources, how you use MongoDB, and any custom configurations. Each version offers new features that can make for a better database experience; let’s look at just a few of them: In MongoDB 5.x: In MongoDB 6.x:

Best Practices 111

Best Practices Hardware Tuning Scalability 111

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 136

Performance Monitoring Traffic Database 136

Scalegrid

JUNE 14, 2024

Understanding Power BI Definition and Purpose Power BI is a business analytics service that can gather all your data in a single platform and enable users to analyze and visualize easily. In this article, we will explore the process of how to connect MySQL to Power BI, a leading business intelligence tool.

Database 130

Database Azure Efficiency Servers 130

Scalegrid

JANUARY 21, 2025

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

Scalegrid

JUNE 11, 2019

There are many more opportunities to customize your infrastructure with an on-premise setup, but requires a significant upfront investment in hardware and software computing resources, as well as on-going maintenance responsibilities.

Open Source 55

Open Source Database Cloud Infrastructure 55

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 100

Cloud Energy AWS Healthcare 100

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

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

All Things Distributed

NOVEMBER 15, 2010

The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. Programming the GPU evolved in a similar fashion; it started with the early APIs being mainly pass-through to the operations programmed in hardware.

AWS 125

AWS Programming Latency Architecture 125

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 Programming AWS Social Media 145

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables.

Database 156

Database Lambda AWS IoT 156

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 96

Cloud AWS Automotive Latency 96

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. A distributed system comprises of a variety of hardware and software components with different operating systems and technologies, meaning the processors are separate and independent of each other. State is distributed through the system. Concurrency.

Systems 74

Systems Monitoring Hardware Network 74