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. Training & Certification Award: Accenture. Partner Pro Club. Rising Star Award: Evolving Solutions.

Programming 241

Programming Cloud Virtualization Technology 241

Dynatrace

FEBRUARY 23, 2022

According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”. With IaC enable DeSecOps teams to institutionalize these processes in code, ensuring repeatable, secure, automated, and efficient processes.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

NOVEMBER 18, 2024

You also need to focus on the user experience so that future toolchains are efficient, easy to use, and provide meaningful and relevant experiences to all team members. Modernizing your technology stack will improve efficiency and save the organization money over time. How do you make this happen?

Strategy 182

Strategy Innovation Cloud Efficiency 182

Dynatrace

AUGUST 27, 2024

Effective ICT risk management Dynatrace Runtime Vulnerability Analytics offers AI-powered risk assessment and intelligent automation for continuous real-time exposure management throughout your entire application stack. Dynatrace Security Analytics can also improve the effectiveness and efficiency of threat hunts.

Best Practices 276

Best Practices Government DevOps Analytics 276

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 245

Energy Cloud Airlines Strategy 245

Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 215

Cache Azure Infrastructure Monitoring 215

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Log management at scale Drive enhanced analytics with lower cost considerations. Accelerate business growth with the latest sales and technical training.

Programming 192

Programming Best Practices Innovation Analytics 192

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. As a result, organizations will increasingly demand solutions that provide data observability to enable them to rapidly and securely ingest high-quality and reliable data that is ready for analytics on demand. Technology prediction No.

Technology 216

Technology Technology Artificial Intelligence Analytics 216

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 237

AWS Lambda Artificial Intelligence Serverless 237

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 111

Analytics Cloud Healthcare Retail 111

Dynatrace

OCTOBER 3, 2024

Dynatrace AI increases efficiency by magnitudes and prevents alert storms. ” Dynatrace observability provides AI, analytics, and automation that integrates with platform engineering, continuous delivery, and automated operations. That’s where observability from Dynatrace goes far beyond “observing systems.”

Availability 236

Availability DevOps Analytics Cloud 236

The Netflix TechBlog

MAY 28, 2021

Part of our series on who works in Analytics at Netflix?—?and Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. That person grew up dreaming of working in the entertainment industry.

Healthcare 211

Healthcare Entertainment Analytics Programming 211

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 280

Open Source Network Infrastructure Big Data 280

Dynatrace

JANUARY 31, 2024

This unified approach reduces the total cost of ownership (TCO), cutting down on the overhead costs associated with managing multiple standalone tools and training costs and simplifying procurement and vendor management. Select Install OneAgents to access simple prompts that you can copy and paste for rapid OneAgent installation.

Analytics 184

Analytics Infrastructure Monitoring Cloud 184

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.

Innovation 273

Innovation Software Software Artificial Intelligence 273

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 202

Artificial Intelligence Tuning Strategy Big Data 202

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. Training & Certification Award: Accenture. Partner Pro Club. Rising Star Award: Evolving Solutions.

Programming 181

Programming Cloud Virtualization Technology 181

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.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

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 203

Artificial Intelligence Open Source Cloud Analytics 203

All Things Distributed

APRIL 13, 2023

The VP of database, analytics and machine learning services at AWS, Swami Sivasubramanian, walks me through the broad landscape of generative AI, what we’re doing at Amazon to make large language and foundation models more accessible, and how custom silicon can help to bring down costs, speed up training, and increase energy efficiency for our customers. (..)

Energy 127

Energy AWS Analytics Speed 127

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 206

Best Practices Education Monitoring Government 206

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 224

Artificial Intelligence DevOps Innovation Metrics 224

Dynatrace

FEBRUARY 28, 2022

The most successful organizations manage a skilled team that knows how to accelerate throughput and drive efficiency across their SDLC. They found that students who prepared with microlearning prior to attending expert-led training asked more advanced questions of their live instructor, and didn’t need to focus on as much of the basics.

Virtualization 213

Virtualization Education Cloud Monitoring 213

Dynatrace

NOVEMBER 15, 2021

Having this real-time outlook enables your business to operate with efficiency by proactively identifying and altering for both hard and soft failures. Those technologies/environments make it possible to deliver more features faster and more efficiently. Prioritize issues that matter most to the business.

Mobile 229

Mobile Social Media Monitoring Metrics 229

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 186

Strategy Retail DevOps Traffic 186

Dynatrace

JANUARY 31, 2022

The cloud-based, on-demand execution model of serverless architecture helps teams innovate more efficiently and effectively by removing the burden of managing the underlying infrastructure. As a result, this distributed application model makes it difficult to get real-time visibility and analytics, and even harder to automate operations.

Serverless 189

Serverless Architecture Open Source Innovation 189

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Likewise it has very low requirements on the initial amount of training data.

Testing 164

Testing AWS Lambda Network 164

Dynatrace

AUGUST 7, 2023

Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently.

DevOps 198

DevOps Analytics Best Practices Java 198

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 240

Processing Media Latency Innovation 240

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. 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

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 167

Innovation Virtualization Programming Cloud 167

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. Fraud.net is a good example of this.

AWS 157

AWS Cloud Artificial Intelligence IoT 157

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. It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns.

Processing 221

Processing Big Data Efficiency Engineering 221

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.

Azure 139

Azure Serverless IoT Lambda 139

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

O'Reilly

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

Open Source 102

Open Source Entertainment Healthcare Database 102

O'Reilly

MARCH 23, 2023

which has received some specialized training. with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. They’ve all had additional specialized training; and they all have a reasonably well-designed user interface.

Google 107

Google Open Source Programming Code 107