Dynatrace

MARCH 29, 2024

Generative AI: A type of AI that uses an algorithm trained on large amounts of data collected from diverse sources to generate various types of content, including text, images, audio, and synthetic data. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

JUNE 1, 2023

Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of 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 173

Traffic Latency Website Virtualization 173

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. But what is AIOps, exactly?

Artificial Intelligence 218

Artificial Intelligence DevOps Innovation Metrics 218

Dynatrace

OCTOBER 14, 2022

By processing vast amounts of relevant data across domains and tiers and automatically finding relationships between systems and processes, AI becomes very good at answering even highly complex questions. Supervised learning uses already-labeled data to train algorithms for specific outputs. What is machine learning?

Artificial Intelligence 180

Artificial Intelligence DevOps Analytics Cloud 180

O'Reilly

NOVEMBER 21, 2019

This is precisely the kind of problem that robotic process automation (RPA) aims to address. She’s the vestigial human link in a process—insurance claims processing—that has a mostly automated workflow. Prior to RPA, enterprises used several different techniques to automate workflows and back-office processes.

Processing 83

Processing Programming Virtualization Technology 83

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline. " Query execution.

Processing 72

Processing Hardware Database Azure 72

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. The second major concern I want to discuss is around the data processing chain. The four stages of data processing. Four stages of data processing with a costly tool switch.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

SEPTEMBER 20, 2022

This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Release validation. Cultural issues.

Best Practices 268

Best Practices DevOps Education Serverless 268

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 265

Innovation Software Software Artificial Intelligence 265

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Bill Simmons, CTO of Dataxu, states, "We process 3 million ad requests a second - 100,000 features per request.

Scalability 159

Scalability Hardware AWS Tuning 159

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MARCH 16, 2021

While some AIOps tools offer significant benefits over manual processes, not all of them can deliver the results organizations expect. AIOps solutions offer the potential to increase observability, automate processes, and enhance value at scale. The challenge? What type of AI is the best approach for AIOps? Reduced IT spend.

Artificial Intelligence 197

Artificial Intelligence Open Source Cloud Analytics 197

Dynatrace

JANUARY 31, 2024

In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 198

DevOps Analytics Airlines Metrics 198

Dynatrace

OCTOBER 5, 2022

Accurate runtime vulnerability detection and analysis tools, like Dynatrace, can help collect deep monitoring information about all the processes running on your systems, in real-time. Teams should be trained on security concerns in addition to their typical responsibilities. Downfalls of not adopting cybersecurity best practices.

Best Practices 199

Best Practices Education Monitoring Government 199

Dynatrace

JULY 30, 2021

Three years ago, I toured through the US, Europe, and Asia giving hands-on training sessions on what I then called the “Unbreakable Delivery Pipeline Tour”. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice. Dynatrace news. You may be asking yourself now: “ Unbreakable WHAT??”.

Cloud 214

Cloud DevOps Azure Virtualization 214

Percona

APRIL 14, 2023

Consolidate workloads: In the past, you might have wanted to split out additional replicas or cluster nodes to process specific types of workloads, such as those related to reporting. Cross-train Investing in your employees is always a good idea, but expanding their skill sets can also reduce costs. If needed, you can spin up a backup.

Database 80

Database Serverless Tuning Cloud 80

Dynatrace

APRIL 15, 2021

Fermentation process: Steve Amos, IT Experience Manager at Vitality spoke about how the health and life insurance market is now busier than ever. The online process needed to be smooth, with no issues as it only takes one bad experience to either change provider or at least moves to the more costly route via the phone.

Speed 165

Speed Media Monitoring Engineering 165

O'Reilly

JUNE 15, 2023

We need research on how best to train AI models to satisfy multiple, sometimes conflicting goals rather than optimizing for a single goal. It requires constant vigilance, and adaptation to new circumstances at the speed at which those circumstances change. We have to reconsider the input—both in the training data and in the prompting.

Government 96

Government Best Practices Energy Efficiency 96

The Netflix TechBlog

DECEMBER 7, 2020

The gathered evidence is then fused into a final predicted score using machine learning, guided by subjective scores from training datasets. Speed Optimization Improving the speed performance of VMAF has been a major theme over the past several years. animation vs. documentary). *The

Metrics 154

Metrics Open Source Tuning Speed 154

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

Official Blog - World Web Technology

AUGUST 27, 2023

Unlike other popular programming languages such as C or Pearl, PHP pages have HTML with embedded code with some start and end processing instructions that allow you to jump directly into and out of PHP mode. They don’t have to train them or build an in-house team of developers. However, PHP can run the command line as well.

Development 98

Development Ecommerce Open Source Website 98

O'Reilly

AUGUST 4, 2022

Natural language processing has come a very long way since then, having burnt through a good few paradigms to get to something we can use on a daily basis. The achievement of note is that it’s underpinned by a single model trained across all tasks rather than different models for different tasks and modalities.

Games 103

Games Social Media Hardware Architecture 103

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Training models and developing complex applications on top of those models is becoming easier. report that the difficulty of training a model is a problem.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Tasktop

JUNE 25, 2019

Architecting for flow is crucial because enterprise software delivery, by its very nature, is a broken process. The complex — and often implicit — network of teams, tools and processes that plan, build and deliver are disconnected by the role-specific tools used by teams across the ideate, create, release and operate stages. .

Speed 40

Speed Software Software DevOps 40

All Things Distributed

NOVEMBER 22, 2016

At Amazon, machine learning has been key to many of our business processes, from recommendations to fraud detection, from inventory levels to book classification to abusive review detection. 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 167

AWS Open Source Scalability Programming 167

High Scalability

SEPTEMBER 7, 2018

Pflop/s : fully synchronous tensorflow data-parallel training; 3.3 We fairly frequently see performance get 5% or more worse over time in a single process execution. 5% might not sound like much, but it’s a huge figure when you consider that many VM optimisations aim to speed things up by 1% at most.

Internet 137

Internet Internet Scalability Lambda 137

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Sutter's Mill

SEPTEMBER 6, 2020

As always, we are not counting on ISO’s publication speed to call it C++20, it’s C++20 because WG21 completed technical work in February. One of the benefits of the train model is that it is very resilient, and can handle even major disruptions without change. So, that is unchanged.

C++ 76

C++ Virtualization Energy Speed 76

All Things Distributed

NOVEMBER 29, 2017

As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. The challenges begin with collecting, cleaning, and formatting training data. One-click, on-demand distributed training that sets up and tears down the cluster after training.

Tuning 94

Tuning AWS Scalability Infrastructure 94

Percona

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. A majority of RedHat’s security research respondents have a DevSecOps initiative underway.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

MARCH 10, 2021

This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from. There are many other areas where AI plays a powerful role.

AWS 146

AWS Cloud Artificial Intelligence Innovation 146

O'Reilly

JANUARY 17, 2023

Predictable: The scikit-learn classifiers share a similar interface, so you can invoke the same train() call on each one while passing in the same training dataset. Or that, just maybe, your training data is no good for the challenge at hand. Only the larger shops have the bandwidth to really bring someone up to speed.

Tuning 128

Tuning Open Source AWS Software 128

O'Reilly

AUGUST 15, 2023

Few professional software developers will find it surprising that software development teams are respondents said that productivity is the biggest challenge their organization faced, and another 19% said that time to market and deployment speed are the biggest challenges. Together, that’s almost half of all respondents (46%).

Development 71

Development Programming Speed Open Source 71

Adrian Cockcroft

JUNE 2, 2023

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation.

Social Media 98

Social Media Innovation Open Source Entertainment 98

Testsigma

DECEMBER 18, 2019

As software testing plays a significant role in the delivery of the final product, it is necessary to consider that the testing process must involve accurate, exhaustive test cases and firm test strategy. Complete test coverage should include scenarios on latency, speed, security, and usability. Training and adaptation.

Testing 73

Testing Open Source Strategy Processing 73

O'Reilly

OCTOBER 18, 2022

Using a public, agreed-upon standard for audits is one way to enhance fairness and transparency in the audit process. When that data is used to train an AI system, that system can replicate our bad behavior with speed and scale. Its operators have less experience and associated governance processes are less fleshed out.

Artificial Intelligence 115

Artificial Intelligence Government Healthcare Metrics 115