Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 196

Cache Azure Infrastructure Monitoring 196

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. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.

Government 190

Government Analytics Benchmarking Storage 190

Dynatrace

FEBRUARY 26, 2024

Digital transformation – which is necessary for organizations to stay competitive – and the adoption of machine learning, artificial intelligence, IoT, and cloud is completely changing the way organizations work. In fact, it’s only getting faster and more complicated. Requirement.

Artificial Intelligence 183

Artificial Intelligence IoT Programming Innovation 183

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.

Network 292

Network Media Innovation Efficiency 292

Percona

NOVEMBER 9, 2023

You may already be using it daily and find it makes running applications in the cloud much more manageable. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. It has become the industry standard for cloud-native container orchestration.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Almost Completely Cloud-y.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. With MLOps, data needs to be trained to understand normal behavior and what is anomalous.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 141

AWS Cloud Artificial Intelligence Innovation 141

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Machine learning lags in dynamic environments.

Artificial Intelligence 166

Artificial Intelligence DevOps Analytics Cloud 166

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. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

JUNE 15, 2021

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. Fact #4: Multi-node, multi-availability zone deployment architecture.

AWS 179

AWS Traffic Architecture Azure 179

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. That ushers in IT complexity. You need precise answers, not statistical guesses.”. Learn more!

Artificial Intelligence 178

Artificial Intelligence Performance Innovation Speed 178

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. It works without having to identify training data, then training and honing. AIOps use cases. CloudOps: Applying AIOps to multicloud operations.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

JANUARY 22, 2024

How causal AI in a data lakehouse can transform your business IT organizations are buried under growing amounts of data for the complex systems they manage across an estate, including on-premises, cloud, and software-as-a-service applications.

Artificial Intelligence 197

Artificial Intelligence Healthcare Retail Government 197

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Introducing Traces on Grail A distributed trace follows a transaction on its journey through every service, cloud platform, and host in your environment.

Analytics 218

Analytics Social Media Metrics Efficiency 218

Dynatrace

MARCH 16, 2021

of organizations are now using cloud-native technologies and orchestration platforms such as microservices, containers, and Kubernetes to meet growing expectations from stakeholders, customers and employees. Consider data from our recent 2020 Global CIO Report , which found that 86. Which alerts demand priority response, and which can wait?

Artificial Intelligence 183

Artificial Intelligence Open Source Cloud Analytics 183

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. AI that is based on machine learning needs to be trained.

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

Dynatrace

SEPTEMBER 8, 2020

Very often, I heard that chaos engineering is only a technique used by larger companies (like Netflix) or in cloud native environments. You want to know if chaos engineering is only usable in cloud native environments. With the rise of cloud and container technologies, companies developed a lot of microservices. Dynatrace news.

Engineering 138

Engineering Cloud Monitoring Testing 138

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle. training data) that the algorithm can then learn from. Why is AIOps needed? AIOps use cases.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

Dynatrace

JULY 6, 2022

Organizations everywhere are adopting site reliability engineering (SRE) to cope with the growing complexity of hybrid and cloud-native environments. Indeed, more than 1,000 solutions are now incubating in the Cloud Native Computing Foundation and modern applications comprise thousands of discrete microservices. Dynatrace news.

Best Practices 177

Best Practices Open Source Tuning Infrastructure 177

Dynatrace

APRIL 5, 2021

The growth of Azure cloud computing. 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. Making the best use of Azure Functions.

Azure 135

Azure Serverless IoT Lambda 135

High Scalability

NOVEMBER 9, 2018

Know anyone looking for a simple book explaining the cloud? book: Explain the Cloud Like I'm 10. You can now train CIFAR10 for just $0.06 That central chip ties together the 7nm CPU chiplets, creating a massively scalable architecture. Do you like this sort of Stuff? Please support me on Patreon. I'd really appreciate it.

Internet 192

Internet Internet Scalability Blockchain 192

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. Observability for effective DevSecOps Traditional approaches to application security can fail to keep up with the complexity of cloud-native environments and rapid software release cycles.

DevOps 175

DevOps Analytics Best Practices Java 175

Dynatrace

MAY 8, 2023

Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. As a result, a successful digital transformation strategy requires that organizations make changes to organizational culture and provide employee training. Improved customer experience.

Strategy 166

Strategy Retail DevOps Education 166

Dynatrace

JUNE 8, 2021

At Dynatrace, our Autonomous Cloud Enablement (ACE) team are the coaches or teach and train our customers to always get the best out of Dynatrace and reach their objectives. Our expert Jean Louis Lormeau suggested a training program to help you become the champion in problem resolution. We can now move to the training phase.

Metrics 159

Metrics Tuning Programming Systems 159

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. A combination of these mechanisms may be necessary to tackle challenges arising from heterogeneous memory systems and NUMA architectures. Such a combination requires new abstractions and programming models for effective management.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

MAY 6, 2021

Increasingly, organizations are turning to observability solutions to get visibility into their dynamic container-based architectures and hybrid-cloud environments. For a little background, Davis automatically identifies anomalies within huge cloud deployments out-of-the-box. Reducing false alarms with Davis.

Games 164

Games Metrics Monitoring Cloud 164

Dynatrace

SEPTEMBER 20, 2022

Organizations should train DevOps teams to understand security best practices and how to operate any new tooling implementations. Conventional approaches to application security can’t keep pace with cloud-native environments that use agile methodologies and API-driven architectures, microservices, containers, and serverless functions.

Best Practices 251

Best Practices DevOps Education Serverless 251

Percona

NOVEMBER 13, 2023

It includes the Docker images for x86_64 architectures and aims to simplify the developers’ experience with the Distribution. It supports critical business applications in your public, private, or hybrid cloud environment. Updated Release of Percona Distribution for PostgreSQL 16.0 came out on November 2, 2023. 26 was released.

Innovation 83

Innovation Open Source Scalability Database 83

Dynatrace

DECEMBER 10, 2020

Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.

Strategy 169

Strategy Performance Logistics Monitoring 169

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Adrian Cockcroft

JANUARY 17, 2022

photo taken by Adrian Cockcroft A year ago I did a talk at re:Invent called Architecture Trends and Topics for 2021 , so I thought it was worth seeing how they played out and updating them for the coming year. I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures.

Serverless 98

Serverless Hardware AWS Architecture 98

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Application architecture to gain insights into how application architecture changes impact performance and user experience.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148