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 Monitoring 279

Dynatrace

AUGUST 8, 2024

From business operations to personal communication, the reliance on software and cloud infrastructure is only increasing. To manage high demand, companies should invest in scalable infrastructure , load-balancing, and load-scaling technologies. Outages can disrupt services, cause financial losses, and damage brand reputations.

Software 290

Software Software Infrastructure Network 290

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

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What does IT operations do?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

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. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.

Metrics 363

Metrics Open Source Monitoring Cloud 363

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This is essential for operators to understand the health and behavior of the container infrastructure as well as the applications running in it.

Open Source 334

Open Source Traffic DevOps Cloud 334

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.

Open Source 55

Open Source Database Cloud Infrastructure 55

The Netflix TechBlog

JANUARY 13, 2022

Pensive infrastructure comprises two separate systems to support batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. They have been great partners for us as we work on improving the Pensive infrastructure.

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 Monitoring 189

Dynatrace

OCTOBER 28, 2020

This means that your entire IT infrastructure can be monitored within minutes. The all-in-one Dynatrace platform delivers precise answers about the performance of your applications, their underlying infrastructure, and the experience of your end users. And even Digital business analytics. You name it, and we have it!

Monitoring 225

Monitoring Systems Infrastructure Cloud 225

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

DECEMBER 20, 2019

For those AppMon customers who are still investigating the tremendous value that the Dynatrace software intelligence platform provides, consider the following excerpts from customers like you after making the switch from AppMon to Dynatrace: “As a large traditional bank, we have a real convoluted IT infrastructure.

Infrastructure 189

Infrastructure Cloud Monitoring Government 189

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 245

Cloud Open Source Architecture Monitoring 245

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.

Infrastructure 68

Infrastructure Analytics Cloud Hardware 68

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

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., 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.

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. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130

Database Cloud Hardware Storage 130

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

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. By offloading the task of managing infrastructure to AWS Essent is able to spend more time on innovating on behalf of their customers to help them in their energy usage.

Cloud 100

Cloud Energy AWS Healthcare 100

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. These feedback loops allow you to develop more accurate assessments when deploying new versions or updates related to Redis infrastructure.

Strategy 130

Strategy Monitoring Latency DevOps 130

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 135

Open Source Google Artificial Intelligence Infrastructure 135

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.

Database 156

Database Lambda AWS IoT 156

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. These feedback loops allow you to develop more accurate assessments when deploying new versions or updates related to Redis® infrastructure.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

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

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

All Things Distributed

JANUARY 18, 2012

These services also require the ability to scale infrastructure incrementally to accommodate growth in request rates or dataset sizes. DynamoDB frees developers from the headaches of provisioning hardware and software, setting up and configuring a distributed database cluster, and managing ongoing cluster operations.

Scalability 162

Scalability Database Ecommerce Latency 162

All Things Distributed

JUNE 21, 2012

We switched to storing our game data in DynamoDB, which alleviated our scaling problems while also freeing us from the burden of managing all the underlying hardware and software. The seamless integration with the rest of the AWS infrastructure, especially CloudWatch, made real-time monitoring a cinch.â??.

Games 113

Games Scalability AWS Database 113

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

VoltDB

JUNE 26, 2024

Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime. Using predictive analytics, manufacturers can anticipate potential quality issues before they occur, allowing for proactive adjustments.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

All Things Distributed

APRIL 5, 2012

Moving to AWS has enabled us with operational agility to deliver more value to those customers without having to worry about scale and infrastructure maintenance. Our 25+ million strong TurboTax and Intuit user community grows every year and Live Community is an integral component of the overall product experience.

Innovation 110

Innovation AWS Education Network 110

O'Reilly Software

APRIL 4, 2018

The availability of SQL enables a wider range of professionals to participate in the development of streaming data analytics pipelines, alleviating the skill shortage in the market and helping organizations to repurpose their workforces as they evolve in their fast data adoption. Build on the shoulders of giants.

Architecture 80

Architecture Scalability Google Operating System 80

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

Alex Russell

MARCH 6, 2021

In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 127

Performance Network Mobile Metrics 127

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. Another adtech infrastructure problem is capacity. This surge in impressions will strain or break existing infrastructure, which wasn’t architected to handle data at this scale. The simple answer is to just spin up more servers.

Performance 40

Performance Hardware Latency Infrastructure 40