Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 233

Energy Cloud Airlines Strategy 233

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digital tools and technologies provide a more efficient way of doing things. Improved customer experience. federal agency.

Strategy 174

Strategy Retail DevOps Education 174

Dynatrace

MAY 24, 2021

And we believe this is supported by the analyst community as we were recognized as a Leader in the 2021 Gartner Magic Quadrant for Application Performance Monitoring and scoring highest in four of five use cases in the 2021 Gartner Critical Capabilities for APM report. Training & Certification Award: Accenture. Partner Pro Club.

Programming 233

Programming Cloud Virtualization Technology 233

Dynatrace

OCTOBER 5, 2022

Owning the responsibility and effort to build good cyber security practices now will improve your DevSecOps team’s overall productivity and efficiency in the future. Teams should be trained on security concerns in addition to their typical responsibilities. What is Cybersecurity Awareness Month all about? What does that mean?

Best Practices 193

Best Practices Education Monitoring Government 193

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. This is one example of the many use cases we’re exploring.

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

JANUARY 31, 2022

Gaining visibility to manage the performance and security of serverless applications in distributed public clouds can be difficult. At Perform 2022, Dynatrace will showcase how its observability platform extends AI-powered insights to serverless architecture spanning multiple cloud environments.

Serverless 176

Serverless Architecture Open Source Innovation 176

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. AI that is based on machine learning needs to be trained. IT automation tools can achieve enterprise-wide efficiency. By tuning workflows, you can increase their efficiency and effectiveness. Read eBook now!

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

MAY 24, 2021

And we believe this is supported by the analyst community as we were recognized as a Leader in the 2021 Gartner Magic Quadrant for Application Performance Monitoring and scoring highest in four of five use cases in the 2021 Gartner Critical Capabilities for APM report. Training & Certification Award: Accenture. Partner Pro Club.

Programming 170

Programming Cloud Virtualization Technology 170

Dynatrace

FEBRUARY 28, 2022

The most successful organizations manage a skilled team that knows how to accelerate throughput and drive efficiency across their SDLC. Performance planning. As team members work towards their annual self-improvement and performance goals, Dynatrace University is a key contributor. Learning paths. Blended learning at scale.

Virtualization 199

Virtualization Education Cloud Monitoring 199

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). It works without having to identify training data, then training and honing. Analyze the data.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace extends contextual analytics and AIOps for open observability. Digital transformation with AWS: Making it real with AIOps.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

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

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. This drove the approach of the “release train”.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 191

Artificial Intelligence Open Source Cloud Analytics 191

Dynatrace

NOVEMBER 15, 2021

Performance : Is the interaction as seamless and fast as possible, or does the user always have to wait to achieve their goal? Some include: Web performance not meeting the user’s expected experience. Keeping track of DX is a crucial part of a complete performance monitoring practice. Soft fails and speedbumps.

Mobile 216

Mobile Social Media Monitoring Metrics 216

Dynatrace

NOVEMBER 24, 2022

When the world experiences tougher times, we see organizations turn to technology to gain efficiencies, to transform through digitization and automation. And to put that more simply, it’s all about doing more with less,” Michael said. Then, we look at the user’s expectations – they’ve gone through the roof.

Innovation 158

Innovation Virtualization Programming Energy 158

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Likewise it has very low requirements on the initial amount of training data.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. training data) that the algorithm can then learn from.

Artificial Intelligence 211

Artificial Intelligence DevOps Innovation Metrics 211

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. In this blog post, we talk about the landscape and the challenges in workflows at Netflix.

Processing 210

Processing Big Data Efficiency Engineering 210

Smashing Magazine

AUGUST 3, 2023

How We Optimized Performance To Serve A Global Audience How We Optimized Performance To Serve A Global Audience Liran Cohen 2023-08-03T10:00:00+00:00 2023-08-03T13:06:00+00:00 I work for Bookaway , a digital travel brand. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings.

Performance 74

Performance Cache Traffic Metrics 74

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

APRIL 5, 2021

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. The growth of Azure cloud computing. Making the best use of Azure Functions.

Azure 137

Azure Serverless IoT Lambda 137

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. CORE The CORE team uses Python in our alerting and statistical analytical work. We are proud to say that our team’s tools are built primarily in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Tasktop

DECEMBER 12, 2022

Morale and performance were at an all-time low, and the team’s backlog was almost entirely filled with defect work. . The organization set an ambitious target of becoming three times more efficient at its delivery. . Flow Efficiency ® : The proportion of time flow items are actively worked on to the total time elapsed.

Metrics 52

Metrics Benchmarking Efficiency Speed 52

Testsigma

OCTOBER 15, 2021

In general, most websites or web apps run into errors because of a solitary reason: solid cross-browser testing isn’t performed. When you perform cross-browser testing, you validate visual elements and ensure all functional and non-functional aspects of the website are consistent across different browsers.

Testing 52

Testing Testing Tools Analytics Website 52

ScaleOut Software

JANUARY 28, 2021

For vaccination centers, real-time digital twins can track location, the supply of vaccines, current demand (number of recipients), availability of trained personnel to perform injections, and other parameters. It offers managers a powerful and flexible means for helping ensure fast, efficient vaccine distribution and delivery.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Making performance improvements to a client’s site could result in happier clients who send more business our way. Performance Mode” sounds a lot more appealing than “Eco Mode”, which sounds like something is being taken away.

Strategy 124

Strategy Development Energy Website 124

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. GoSquared provides various analytics services that web and mobile companies can use to understand their customers' behaviors. Channel 4 (in the UK) chose AWS to help monetize volumes of platform data.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Engaging presentation on an important topic, with some good advice on optimizing ML workloads.

AWS 64

AWS Energy Architecture Programming 64

Tasktop

JUNE 25, 2019

These excellent tools are built for purpose, such as planning, design, development, testing, service desk and so on, and enable specialists teams to do their jobs more efficiently and collaboratively. After attending training, you will have the knowledge to become a VSM ambassador at your organization or agency. Learn more.

Speed 40

Speed Software Software DevOps 40

The Morning Paper

DECEMBER 13, 2020

Dynamic approaches schedule block processing on the fly to maximise efficiency. Learning-based methods train classifiers for pruning. More sophisticated methods may also split and merge blocks. Comparison cleaning methods work on redundancy positive block collections. After pruning, new blocks are created from the retained edges.

Big Data 83

Big Data Open Source Processing Analytics 83

Tasktop

JUNE 6, 2019

Flow Efficiency (the ratio of active time vs. wait time out of total flow time). Introduction to value streams (with Brian Ashcraft): This two-hour training course enables you on the fundamentals of getting started with a VSM initiative, including common attributes, an improvement methodology, analytical methods, and a tooling assessment.

DevOps 80

DevOps Software Software Analytics 80

Tasktop

SEPTEMBER 19, 2019

The change can feel much like taking the training wheels off a bike. For example, individual performance-based compensation may be counterproductive in a product-led organization, because collaboration and team/value stream performance is the end goal. As a result, behaviors can take a while to get embedded into the culture.

DevOps 45

DevOps Metrics Energy Processing 45