DZone

MAY 24, 2022

Data Drift Data and concept drift are frequently mentioned in ML monitoring, but what exactly are they, and how are they detected? Furthermore, given the common misconceptions, are data and concept drift things to be avoided at all costs or natural and acceptable consequences of training models in production? Read on to find out.

Monitoring 100

Monitoring Strategy 100

Dynatrace

NOVEMBER 2, 2023

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. Create optimization strategies with realistic goals for each team. The result is smarter, data-driven solutions designed to manage cloud spend. What is FinOps?

Cloud 220

Cloud Strategy Retail Energy 220

Dynatrace

JANUARY 13, 2021

Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report. Defining what to monitor and what to be alerted on must be as easy for developers as checking in a monitoring configuration file into version control along with the applications source code.

Open Source 146

Open Source Code Monitoring Azure 146

Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? Monitoring and logging are fundamental building blocks of observability. Similarly, digital experience monitoring is another ongoing process that lends itself to IT automation. Monitoring automation is ongoing.

Artificial Intelligence 213

Artificial Intelligence Tuning Strategy Big Data 213

Dynatrace

DECEMBER 5, 2023

The mandate also requires that organizations disclose overall cybersecurity risk management, strategy, and governance. Teams must continuously monitor runtime environments for leaked vulnerabilities and assess their scope and potential impact on their organization. Continuously improve by monitoring application security feedback loops.

Best Practices 270

Best Practices Government C++ Education 270

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Check out the resources below for more information.

Artificial Intelligence 251

Artificial Intelligence Cloud Best Practices DevOps 251

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I'm offering an overview of my perspective on the field, which I hope is a unique and interesting take on it, in order to provide context for the work at hand: devising a winning technology strategy for your business.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

JANUARY 22, 2024

Traditional monitoring provides correlations between events, but causal AI goes further by inferring the probabilistic causal relationships between them. Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly.

Artificial Intelligence 232

Artificial Intelligence Healthcare Retail Government 232

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. They can do so by establishing a solid FinOps strategy. What is AI observability?

Strategy 245

Strategy Artificial Intelligence Storage Cloud 245

Dynatrace

MAY 6, 2021

For example, in an application performance monitoring (APM) setting, you want to closely monitor user-facing metrics like response time and error rates. One of them is by setting a monitoring strategy that provides automatic static thresholds.”. Custom baselining is where predictive AIOps comes in.

Games 194

Games Metrics Monitoring Cloud 194

Dynatrace

OCTOBER 14, 2022

Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Supervised learning uses already-labeled data to train algorithms for specific outputs. There are two broad types of machine learning: supervised and unsupervised. Enhanced visibility.

Artificial Intelligence 197

Artificial Intelligence DevOps Analytics Cloud 197

VoltDB

OCTOBER 17, 2024

Real-time decisioning enables manufacturers to: Monitor inventory levels: By tracking inventory in real-time, manufacturers can ensure that they have the necessary materials and parts on hand without overstocking. Ensuring that employees are on board and trained to use new technologies is critical for success.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. A cloud migration strategy, however, provides technical optimization that’s also firmly rooted in the business value chain. Read eBook now!

Cloud 185

Cloud Traffic Best Practices Strategy 185

Percona

NOVEMBER 3, 2023

Do you have monitoring tools in place? To achieve this, a substantial commitment is necessary from your team to master effective testing strategies. This entails providing comprehensive training for your staff, equipping them with both foundational and sophisticated testing methodologies. Have you built a testing environment?

Database 88

Database Open Source Benchmarking Strategy 88

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. As organizations move workloads and software development to multicloud environments to operate more efficiently and flexibly, traditional monitoring tools often fall short. AWS made better through AIOps. 9 key DevOps metrics for success.

AWS 242

AWS Lambda Artificial Intelligence Serverless 242

Scalegrid

JANUARY 5, 2024

This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. ScaleGrid’s DBaaS solution simplifies database management by automating backups, scaling, and maintenance.

Efficiency 147

Efficiency Storage Database Scalability 147

CSS Wizardry

OCTOBER 27, 2018

To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is. My involvement with clients here is usually workshops and training: teaching developers the knowledge and tooling required to effectively conduct performance audits, and making teams self-sufficient. Who: Engineers.

Performance Testing 180

Performance Testing Testing Performance Strategy 180

Dynatrace

DECEMBER 30, 2021

This article includes key takeaways on AIOps strategy: Manual, error-prone approaches have made it nearly impossible for organizations to keep pace with the complexity of modern, multicloud environments. Traditional cloud monitoring tools haven’t solved the challenge with their bolt-on correlation and machine-learning approaches.

Strategy 245

Strategy Energy Cloud Innovation 245

Tech News Gather

OCTOBER 7, 2023

In the ever-evolving landscape of business and marketing, where digital strategies often take center stage, it’s easy to overlook the enduring power of a simple phone call. Let’s explore why you should dedicate more thought and consideration to implementing a phone call tracking app in your business strategy.

Strategy 52

Strategy Big Data Scalability Games 52

The Morning Paper

FEBRUARY 18, 2020

Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. And there’s going to be a lot of them!

Government 95

Government Software Engineering Storage Database 95

Tech News Gather

JUNE 15, 2023

It can also incorporate features for mood tracking, allowing students to monitor and understand their emotional patterns over time. In addition, it can also inculcate resources such as articles, podcasts, and breathing exercises to help users develop coping strategies and resilience.

Education 52

Education Virtualization Innovation Transportation 52

Dynatrace

MAY 8, 2023

Digital transformation strategies are fundamentally changing how organizations operate and deliver value to customers. A comprehensive digital transformation strategy can help organizations better understand the market, reach customers more effectively, and respond to changing demand more quickly. Competitive advantage.

Strategy 197

Strategy Retail DevOps Education 197

Official Blog - World Web Technology

NOVEMBER 19, 2023

They don’t have to hire, train, and manage developers, which would take time and work. Flexibility and Scalability Companies that outsource website development can adjust their strategies in response to changing needs for various projects. Use this information to improve the procedures and strategy behind your outsourcing.

Development 59

Development Best Practices Website Artificial Intelligence 59

The Morning Paper

JANUARY 7, 2020

In an automated system, two roles are left to humans: monitoring that the automated system is operating correctly, and taking over control if it isn’t. This means that a formerly experienced operator who has been monitoring an automated process may now be an inexeperienced one.

Games 84

Games Monitoring Speed Systems 84

Tech News Gather

JULY 20, 2022

Health management apps: The apps help people monitor their health concerns like diabetes, mental health and cholesterol levels as well as monitor their heart rate, blood pressure and so on. A dermatologist on-demand is available through First Derm for quick and accessible answers as well as strategies for treatment and medication.

Healthcare 52

Healthcare Mobile Virtualization Availability 52

Testsigma

MAY 14, 2021

Is there a possibility that moving testing to the cloud may lead to a change in the test strategy or foundation of testing? Process: Chalking out the strategy to make a move to cloud-based testing. It becomes necessary to provide them with proper training and knowledge to be a perfect fit for starting cloud testing.

Cloud 67

Cloud Testing Testing Tools Internet 67

Adrian Cockcroft

NOVEMBER 26, 2023

AWS speaker: Aditi Suresh, Customer speaker: Brian Rowe SUS205: Slowing down deforestation by using AI, ML, and open source data Organizations worldwide are developing solutions to evaluate, monitor, or predict land use and cover change in order to identify potential carbon credit projects, deforestation trends, and future wildfire risk areas.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

DECEMBER 10, 2020

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. Different teams have their own siloed monitoring solution. What trends are you seeing in the industry?

Strategy 201

Strategy Performance Logistics Monitoring 201

Testsigma

MAY 6, 2021

It will be a better idea to let people focus on the test strategy, test cases, exploratory/ad-hoc testing, and other testing-related activities. This is a codeless automated testing tool so to create automated test cases you won’t need people specially trained in a specific language.

Mobile 52

Mobile Testing Website Internet 52

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application. Analyze the data.

DevOps 220

DevOps Artificial Intelligence Healthcare Innovation 220

Dynatrace

SEPTEMBER 21, 2023

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. Nonetheless, to help mitigate climate change, it’s critically important for organizations to measure, monitor, and reduce their IT carbon footprints.

Energy 253

Energy Cloud Airlines Strategy 253

The Netflix TechBlog

JULY 22, 2024

What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines. Maestro preserves key properties across workflow versions, such as author and owner information, run strategy, and concurrency settings.

Strategy 258

Strategy Scalability Code Engineering 258

Dynatrace

APRIL 28, 2021

Organizations that have transitioned to agile software development strategies (including the adoption of a DevOps culture and continuous delivery automation) enforce automated solutions for such decision making—or at the very least, use automation in the gathering of a release-quality metrics. Release monitoring | Dynatrace Help.

Software 246

Software Software Strategy Metrics 246

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 212

DevOps Analytics Airlines Metrics 212

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation. Our machine learning models train on several weeks of data. What’s our end goal?

Storage 195

Storage Design Scalability Latency 195

Percona

OCTOBER 18, 2023

Strategy: Choosing your path Having a strategy for your migration will make the move to open source go that much smoother. Your approach should align with your goals, abilities, and organizational requirements, and there are some common migration strategies for you to consider as you move forward.

Open Source 97

Open Source Database Strategy Hardware 97

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 112

Open Source Google Artificial Intelligence Infrastructure 112