Dynatrace

JANUARY 4, 2024

It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI systems, and their data, can be biased, either intentionally or unintentionally, reflecting the biases of their creators or the data on which they are trained. AI system bias. Data in context.

Artificial Intelligence 235

Artificial Intelligence Strategy Traffic Virtualization 235

Dynatrace

JANUARY 17, 2024

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 223

Strategy Artificial Intelligence Storage Cloud 223

DZone

AUGUST 9, 2023

Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods.

Scalability 246

Scalability Best Practices Open Source Virtualization 246

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. When a user asks a question, generative AIs create an answer word by word.

Best Practices 234

Best Practices Analytics Metrics Code 234

Dynatrace

JANUARY 25, 2022

Despite having to reboot Perform 2022 from onsite in Vegas to virtual, due to changing circumstances, we’re still set to offer just the same high-quality training. And, what’s more – Dynatrace offers virtual training year-round in Dynatrace University, our product education platform. Already Dynatrace Associate Certified?

Performance 211

Performance Virtualization Education Analytics 211

Dotcom-Montior

NOVEMBER 27, 2018

This is the first online performance engineering training for developers, architects, QA, and test engineers. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls. The screenshot below highlights how Performetriks guides your team through this training.

Development 40

Development Performance Education Best Practices 40

Dynatrace

DECEMBER 4, 2023

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. As the collected data seamlessly integrates with your Dynatrace environment, you can analyze LLM metrics, spans, and logs in the context of all traces and code-level information.

Open Source 259

Open Source Latency Metrics Java 259

Dynatrace

FEBRUARY 1, 2024

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Implementing “Green-coding principles” At the application level, the banking group is beginning to apply green coding , a practice that minimizes the compute energy consumption of software. “We

Cloud 210

Cloud Energy Innovation Infrastructure 210

Dynatrace

APRIL 17, 2024

Getting my hands dirty: Hands-on training at Perform I was invited to join Perform to help host one of the HOT classes two days before the main conference event. However, it was my first time at Perform, and although I knew I would learn a thing or two in the next week, I was unaware of how beneficial taking part in this event would be.

Development 178

Development Performance Airlines Healthcare 178

Dynatrace

JULY 11, 2023

The forecast is trained on a relative timeframe (for example, the last seven days) which is specified in the configured DQL query. The TypeScript code snippet below is responsible for checking for threshold violations and for preparing all the violations in a result object for subsequent actions to follow up on: Figure 4.

Metrics 203

Metrics Games Analytics Network 203

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 266

Serverless Infrastructure Innovation DevOps 266

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. What is generative AI?

Artificial Intelligence 230

Artificial Intelligence Cloud Best Practices DevOps 230

Dynatrace

FEBRUARY 26, 2024

“ AppEngine is a stunning step forward in data monitoring because it allows you to merge the customization of coding with the high-quality data stored in Dynatrace, unlocking the limits of analysis beyond imagination. Members gain access to exclusive events and training, fostering a community of champions.

Innovation 198

Innovation Analytics Mobile Website 198

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

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. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 260

Innovation Software Software Artificial Intelligence 260

Dynatrace

JUNE 16, 2022

At the same time, open source software (OSS) libraries now account for more than 70% of most applications’ code base, increasing the risk of application vulnerabilities. Static application security testing (SAST) analyzes code for common security coding errors. million attacks. Instant runtime response. Contextual analysis.

Tuning 223

Tuning Cloud Open Source Network 223

O'Reilly

OCTOBER 24, 2023

Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our training sets for AI are dominated by content created by AI. At some point in the near future, new models will be trained on code that they have written.

Programming 89

Programming Processing Code Artificial Intelligence 89

DZone

AUGUST 20, 2020

We check public transportation apps to see when the next train is arriving at the station. As part of engineering teams, we use application monitoring and cloud services (like CI and cloud infrastructure) to function, so that code changes seamlessly deploy into production.

Transportation 211

Transportation Infrastructure Cloud Monitoring 211

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

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. The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing.

Energy 234

Energy Cloud Airlines Strategy 234

Dynatrace

FEBRUARY 9, 2023

While open source tools are great for small environments, they don’t scale easily, for example: Training: Teaching multiple teams how to configure alerting using Prometheus, Alertmanager, and especially, PromQL, can be a huge project. In other words, the training aspect of setting up alerts is reduced to near zero.

Open Source 186

Open Source Metrics Monitoring Technology 186

Dynatrace

SEPTEMBER 5, 2023

Generative AI is artificial intelligence capable of generating code, text, and other types of output, using trained, generative models. Dynatrace Grail. Causal AI is an artificial intelligence technique used to determine the exact underlying causes and effects of events or behavior. Automation.

Cloud 222

Cloud Artificial Intelligence Innovation Azure 222

Dynatrace

FEBRUARY 5, 2020

Whether that’s cloud migration, cloud operations modernization, cloud native application development, code pipeline development, integration of key platforms such as ServiceNow or Ansible, or automation of runbooks and workflows, the Dynatrace platform provides our partners with the precision required to implement projects with absolute confidence.

Innovation 150

Innovation DevOps Cloud Scalability 150

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Though I have spent the last ~17 years (In 2021) of my life coding and perfecting my Java and J2EE skill — I suddenly feel. Ahem, Slow!

Java 207

Java C++ Benchmarking Programming 207

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Data lakehouses play a pivotal role in facilitating causal AI by providing a versatile data management infrastructure for vast amounts of diverse data —a requirement for AI training models.

Artificial Intelligence 208

Artificial Intelligence Healthcare Retail Government 208

O'Reilly

JUNE 27, 2023

When a person clicked “submit,” the website would pass that form data through some backend code to process it—thereby sending an e-mail, creating an order, or storing a record in a database. That code was too trusting, though. Each invocation of an AI chatbot is a probabilistic journey through its training data.

Social Media 89

Social Media Media Website Database 89

Percona

SEPTEMBER 8, 2023

If you join the class from Google Classroom directly, click “Join class” and enter the code of the class “xd36vr4” For questions or suggestions, visit the Percona Forum Training category or contact us at community-team@percona.com. You will need a Gmail account.

Google 105

Google Programming Database Code 105

Dynatrace

OCTOBER 17, 2022

But before that new code can be deployed, it needs to be tested and reviewed from a security perspective. It works without having to identify training data, then training and honing. They’re also discouraging the people who would rather focus on the important work they are trained to do.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks. A new CISO report explains why.

DevOps 185

DevOps Analytics Best Practices Java 185

Dynatrace

JUNE 1, 2023

More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. It aims to provide a reliable platform for users to participate in live or pre-recorded workout sessions, virtual training, or fitness tutorials without interruptions.

Latency 177

Latency Website Traffic Virtualization 177

O'Reilly

FEBRUARY 14, 2023

ChatGPT gave an excellent explanation (it is very good at explaining source code), but there was something funny: it referred to a language feature that the user had never heard of. Maybe it was discussed as a possibility in some mailing list that found its way into ChatGPT’s training data, but was never implemented? But could they?

Artificial Intelligence 97

Artificial Intelligence Code Software Software 97

Dynatrace

SEPTEMBER 28, 2020

It also recognizes Dynatrace’s robust Autonomous Cloud Enablement services offerings , which include continuous enablement and technical support , microlearning, training and certification, enterprise adoption, automation and integration, advanced analyti cs , and performance optimization.

Cloud 244

Cloud Serverless Innovation Architecture 244

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from. It works without having to identify training data, then training and honing. Traditional AIOps does not scale. A huge advantage of this approach is speed.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

JUNE 1, 2023

More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. It aims to provide a reliable platform for users to participate in live or pre-recorded workout sessions, virtual training, or fitness tutorials without interruptions.

Traffic 174

Traffic Latency Website Virtualization 174

The Netflix TechBlog

MAY 21, 2019

When code many test cases are dependent on has changed, choose the right test cases among thousands of affected tests to quickly validate the change before committing it and running extensive, and expensive, tests. Likewise it has very low requirements on the initial amount of training data. Detect a regression in a test case.

Testing 163

Testing AWS Lambda Network 163

O'Reilly

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Note that the dataset on which GPT-3 trained terminated around October 2019. OpenAI’s text generating system GPT-3 has captured mainstream attention. Among other things.

Social Media 138

Social Media Media Internet Internet 138

Dynatrace

SEPTEMBER 3, 2020

Such a solution needs to collect a substantial amount of data at first for then having a dataset (training data) that an algorithm can use to learn from. It works without identifying training data, then training and honing. Traditional AIOps is Slow. The first downside to the ML approach is that it is slow.

Software 265

Software Software Artificial Intelligence Metrics 265