Scalegrid

JANUARY 9, 2024

With the prevalence of cyber threats and regulatory pressures, safeguarding your enterprise’s cloud infrastructure is more critical than ever. This proactive approach also needs to take into consideration complexities arising from multi-cloud or hybrid cloud strategies to achieve holistic enterprise cloud security.

Strategy 130

Strategy Cloud Best Practices Government 130

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. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions. This adoption will further impact carbon emissions.

Energy 240

Energy Cloud Airlines Strategy 240

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 210

Cache Azure Infrastructure Monitoring 210

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 219

Games Analytics Strategy Cloud 219

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 236

Artificial Intelligence Cloud Best Practices DevOps 236

Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. AI that is based on machine learning needs to be trained.

Artificial Intelligence 195

Artificial Intelligence Tuning Strategy Big Data 195

Dynatrace

JULY 3, 2024

A robust partner ecosystem can drive advancements in cloud infrastructure, application performance, and AI-driven insights, ensuring that businesses can deliver seamless digital experiences for customers. As enterprises globally undergo digital transformations, leveraging the right tools and expertise becomes crucial.

Innovation 188

Innovation Technology Technology Cloud 188

Dynatrace

FEBRUARY 26, 2024

Because of this, it is more critical than ever for organizations to leverage a modern observability strategy. The event focused on empowering and informing our valued partner ecosystems by providing updates on strategy, market opportunities, cloud modernization, and a wealth of crucial insights. Building apps and innovations.

Artificial Intelligence 200

Artificial Intelligence IoT Programming Innovation 200

Dynatrace

JANUARY 22, 2024

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.

Artificial Intelligence 214

Artificial Intelligence Healthcare Retail Government 214

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.

Storage 196

Storage Design Scalability Latency 196

Dynatrace

JULY 25, 2023

Large language models (LLMs), which are the foundation of generative AIs, are neural networks: they learn, summarize, and generate content based on training data. Observability, security, and business use cases raise additional challenges as they need precision and reproducibility.

Best Practices 238

Best Practices Analytics Metrics Code 238

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

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 202

Cloud Strategy Retail Energy 202

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 170

Cloud Traffic Best Practices Strategy 170

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. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Digital transformation creates complexity.

AWS 234

AWS Lambda Artificial Intelligence Serverless 234

Dynatrace

JULY 6, 2022

Organizations that have achieved SRE maturity have a better handle on the state of their infrastructure, the ability to tie reliability metrics more tightly to business objectives, and the means to ensure a consistent and responsive customer experience. Dynatrace’s 2022 State of SRE Report surveyed 450 SREs across the globe.

Best Practices 194

Best Practices Open Source Tuning Infrastructure 194

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. Who: Engineers. When: During development. Who: Engineers, Product Owners, Marketing.

Performance Testing 196

Performance Testing Testing Performance Strategy 196

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 181

Artificial Intelligence DevOps Analytics Cloud 181

Dynatrace

MARCH 16, 2021

Despite these investments, these organizations have complete visibility into just 11% of the applications and infrastructure in their environments. It takes times to train statistics-based machine learning solutions, and this approach doesn’t scale easily with modern, dynamic cloud-native environments.

Artificial Intelligence 198

Artificial Intelligence Open Source Cloud Analytics 198

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. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 199

DevOps Analytics Airlines Metrics 199

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 192

DevOps Analytics Best Practices Java 192

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 256

Architecture Best Practices Engineering Open Source 256

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Alex Podelko

SEPTEMBER 8, 2020

In this time, I learned a lot, but the price for this was to have to deal with random infrastructure issues and unhelpful support from HP. I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed.

Open Source 223

Open Source Performance Testing Testing Performance 223

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!

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

OCTOBER 16, 2019

Without infrastructure-level support, every team ends up building their own point solution to varying degrees of success. Gutenberg allows browsing older versions of data for use cases such as debugging, rapid mitigation of data related incidents, and re-training of machine-learning models. for example to train machine-learned models.

Cache 192

Cache Architecture Metrics Java 192

Dynatrace

NOVEMBER 15, 2021

Working on a customer win-back strategy is cost-intensive and not always fruitful, which makes having an excellent DX more crucial than ever. DEM helps teams understand the context of what’s going on amid the interactions happening across the multitude of apps, services, and infrastructure of your multicloud environment.

Mobile 224

Mobile Social Media Monitoring Metrics 224

CSS Wizardry

APRIL 22, 2020

They were either running their own infrastructure and installing and deploying Brotli everywhere proved non-trivial, or they were using a CDN who didn’t have readily available support for the new algorithm. I started off this whole train of thought because I wanted to see, realistically, what impact Brotli might have for real websites.

Latency 300

Latency Servers Website Speed 300

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? The Bootstrapping Methods Suppose you are watching The Crown on a train and Claire Foy’s face appears pixelated.

Metrics 146

Metrics Strategy Testing Efficiency 146

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? The Bootstrapping Methods Suppose you are watching The Crown on a train and Claire Foy’s face appears pixelated.

Metrics 143

Metrics Strategy Testing Efficiency 143

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

Open Source 110

Open Source Google Artificial Intelligence Infrastructure 110

Percona

OCTOBER 20, 2023

Develop strategies to mitigate these risks and have contingency plans in place. Communication and training: Keep all stakeholders informed about the progress and changes throughout the migration process. Provide training to staff members, DBAs, and developers to ensure they are well-prepared for the transition.

Open Source 94

Open Source Database Best Practices Strategy 94

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments.

Monitoring 148

Monitoring Mobile Social Media Open Source 148

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? The Bootstrapping Methods Suppose you are watching The Crown on a train and Claire Foy’s face appears pixelated.

Metrics 130

Metrics Strategy Testing Efficiency 130

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

Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 85

Cloud Open Source Strategy Best Practices 85

Percona

NOVEMBER 3, 2023

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. You can read more about Pateron’s success story here.

Database 89

Database Open Source Benchmarking Strategy 89