Dynatrace

JANUARY 31, 2024

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 215

Cache Azure Infrastructure Monitoring 215

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. Streaming Platforms Commercial streaming platforms shown in Figure 1 mainly rely on Digital Rights Management (DRM) systems. a browser) is normally matched with a certain DRM system (e.g.,

C++ 323

C++ Metrics Tuning Strategy 323

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. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 234

Strategy Artificial Intelligence Storage Cloud 234

Dynatrace

MAY 30, 2023

Training & Certification Award DXC has stood out this year, with 50 individuals becoming Dynatrace Certified across Associate and Professional levels, and this award is a testament to that continued investment in training and enablement with Dynatrace.

Innovation 225

Innovation Cloud AWS DevOps 225

The Netflix TechBlog

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Architecture 236

Architecture Energy Benchmarking Processing 236

Dynatrace

APRIL 28, 2021

With the integration of issue tracking systems and configurable dynamic queries, Dynatrace shows you issue statistics and links to issues, alongside the related releases. Metadata is mapped according to technology standards and detection strategies. Other technologies. Release information from issue tracking systems.

Software 243

Software Software Strategy Metrics 243

Dynatrace

AUGUST 27, 2024

Implementing and maintaining DORA compliance can be resource-intensive, requiring skilled personnel, advanced technologies, and ongoing investment. Governance : Addresses organizational policies and procedures related to information and communication technology (ICT) risks. Resource constraints. Integration with existing processes.

Best Practices 276

Best Practices Government DevOps Analytics 276

Dynatrace

NOVEMBER 18, 2024

As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders. Modernizing your technology stack will improve efficiency and save the organization money over time.

Strategy 182

Strategy Innovation Cloud Efficiency 182

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. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 273

Innovation Software Software Artificial Intelligence 273

Dynatrace

AUGUST 2, 2021

During a recent webinar together , Willie Hicks, Federal CTO at Dynatrace, and Catanoso discuss how VAECSO’s leadership has engaged with ‘best of breed’ technologies to accelerate goals of cloud adoption, modernization, and ensuring operational effectiveness during this ambitious digital transformation.

Government 246

Government Strategy Cloud Efficiency 246

Dynatrace

JULY 20, 2022

Artificial intelligence (AI) has been a hot topic among federal agencies as government IT leaders look to modernize their systems to help solve complex challenges. First, we must dispense with the notion that AI is a murky, mysterious technology. Effective recruitment and training will address the issues within time.

Artificial Intelligence 224

Artificial Intelligence Government Strategy Website 224

Dynatrace

OCTOBER 3, 2024

Cloud technology complexity with billions of dependencies has outgrown human comprehension and requires AI to analyze and conclude. As responsibilities shift left due to the increased use of cloud-native technologies, development teams take more control over production deployments.

Availability 236

Availability DevOps Analytics Cloud 236

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. More generally, causal AI can contribute to explainable and fair AI systems. Software development.

Artificial Intelligence 220

Artificial Intelligence Healthcare Retail Government 220

Dynatrace

DECEMBER 4, 2023

By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.” Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. However, Python models are trickier.

Open Source 267

Open Source Metrics Java Latency 267

Dynatrace

JUNE 16, 2022

Rather than using a trained model to predict behavior, RASP watches an application’s runtime, studying the application’s task execution to detect attacks. With RASP technology, you can distinguish between genuine information requests and malicious attacks. Instant runtime response. Contextual analysis. Eliminate false positives.

Tuning 233

Tuning Cloud Open Source Network 233

Dynatrace

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills.

AWS 222

AWS Best Practices Cloud Analytics 222

Dynatrace

FEBRUARY 23, 2022

As DevSecOps practices gather steam in 2022, there are several concurrent technology trends that will likely further DevSecOps adoption. With MLOps, data needs to be trained to understand normal behavior and what is anomalous. Unlike MLOps, AIOps doesn’t require training of data. AIOps capabilities.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

OCTOBER 14, 2021

These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 224

Artificial Intelligence DevOps Innovation Metrics 224

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. We can use deep neural networks which would take the several features (> 100K dense features) which we require for training the model.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. What is artificial intelligence?

Artificial Intelligence 186

Artificial Intelligence DevOps Analytics Cloud 186

All Things Distributed

MARCH 12, 2018

At Amazon, we are heavily invested in machine learning (ML), and are developing new tools to help developers quickly and easily build, train, and deploy ML models. The challenge was that technology wasn't capable of processing real human conversation. People interact with many different applications and systems at work.

Systems 96

Systems AWS Games Transportation 96

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Service Provider of the Year: DXC Technology. Training & Certification Award: Accenture.

Programming 181

Programming Cloud Virtualization Technology 181

Brendan Gregg

JULY 15, 2019

BPF (eBPF) tracing is a superpower that can analyze everything, and I'll show you how in my upcoming book BPF Performance Tools: Linux System and Application Observability , coming soon from Addison Wesley. A time where you can pose arbitrary questions of the system, and it can answer them. Guess how many books there are about Docker?

Systems 111

Systems Performance Education Technology 111

High Scalability

DECEMBER 16, 2022

Cloud computing has become a widely-used model of computing, as it offers a number of benefits over traditional, on-premises computing systems. This can facilitate greater collaboration and innovation, as it enables users to access the latest tools and technologies, and work together in real time to solve complex problems.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. Let’s assume the operating system hosting the search service is also running another process independently that consumes significant CPU. AIOps use cases.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

O'Reilly Software

JANUARY 12, 2018

2018 marks the fourth year of O’Reilly’s Software Architecture Conference , a software engineering event focused on providing hands-on training experiences for technologists at all levels of an organization—from experienced developers up through CTOs. Continue reading Engineering well-rounded technology leaders.

Technology 75

Technology Technology Engineering Software Architecture 75

Dynatrace

MAY 8, 2023

Organizations in every industry are engaged in some form of digital transformation, integrating technology into all areas of the business. Digital tools and technologies provide a more efficient way of doing things. However, digital transformation requires significant investment in technology infrastructure and processes.

Strategy 186

Strategy Retail DevOps Traffic 186

Dynatrace

FEBRUARY 26, 2024

During the Dynatrace annual user conference, Perform , the Partner Summit session returned, welcoming Global System Integrators (GSIs), Hyperscalers, and Cloud Solutions Partners to participate. At this year’s Partner Summit, sessions focused on three key elements for shared partner success: commitment, alignment, and requirement.

Artificial Intelligence 206

Artificial Intelligence IoT Programming Innovation 206

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. What is AIOps?

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

Dynatrace

JANUARY 31, 2024

Today’s multicloud environments consist of hundreds of applications, hundreds of thousands of hosts and containers, and use an ever-increasing number of technologies. Still, a single unmonitored host can become a weak link , causing system failures and security breaches.

Analytics 184

Analytics Infrastructure Monitoring Cloud 184

Dynatrace

DECEMBER 10, 2020

During the recent pandemic, organizations that lack processes and systems to scale and adapt to remote workforces and increased online shopping are feeling the pressure even more. If you just try to solve for a technology change without addressing how it affects the people and processes in place (or vice versa), you’ll not see true success.

Strategy 190

Strategy Performance Logistics Monitoring 190

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242

O'Reilly

JUNE 18, 2024

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute.

Social Media 141

Social Media Media Open Source Traffic 141

The Netflix TechBlog

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders.

Media 297

Media Metrics Systems Processing 297

All Things Distributed

NOVEMBER 22, 2016

A set of programming models has emerged to help developers define and train AI models with deep learning; along with open source frameworks that put deep learning in the hands of mere mortals. Amazon EC2, with its broad set of instance types and GPUs with large amounts of memory, has become the center of gravity for deep learning training.

AWS 165

AWS Open Source Scalability Programming 165

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 132

Scalability Hardware AWS Tuning 132

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling. This drove the approach of the “release train”.

Processing 240

Processing Media Latency Innovation 240