Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. AI that is based on machine learning needs to be trained. Big data automation tools.

Artificial Intelligence 187

Artificial Intelligence Tuning Strategy Big Data 187

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. Get ready for actionable insights that balance technical depth with practical advice. On-premise management tools can also be integrated with the cloud for enhanced protection.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

High Scalability

JANUARY 11, 2022

Architecture. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. We can use deep neural networks which would take the several features (> 100K dense features) which we require for training the model.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. This trains your teams to be proactive in maintaining software quality and saves you money by avoiding downtime.

Metrics 189

Metrics Best Practices DevOps Infrastructure 189

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 175

Serverless Architecture Open Source Innovation 175

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.

Serverless 263

Serverless Infrastructure Innovation DevOps 263

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. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 244

Cloud Serverless Innovation Architecture 244

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture). NSDI’20.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

MAY 8, 2023

Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. However, digital transformation requires significant investment in technology infrastructure and processes. Improved customer experience. Competitive advantage. federal agency.

Strategy 174

Strategy Retail DevOps Education 174

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics. training data) that the algorithm can then learn from. What are the components of a modern AIOps solution?

Artificial Intelligence 210

Artificial Intelligence DevOps Innovation Metrics 210

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. This drove the approach of the “release train”. Several promising ideas were abandoned owing to the outsized work needed to overcome architectural limitations. The microservice architecture provides strong decoupling between services.

Processing 229

Processing Media Latency Innovation 229

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. Managing your applications requires knowing the intricacies of your chosen provider.

Azure 137

Azure Serverless IoT Lambda 137

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 191

Artificial Intelligence Open Source Cloud Analytics 191

Dynatrace

NOVEMBER 15, 2021

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. Behind the single touch point the user is interacting with, there can be a microservices architecture running on an multicloud environment.

Mobile 216

Mobile Social Media Monitoring Metrics 216

Dynatrace

JUNE 1, 2021

Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. For vaccination centers, real-time digital twins can track location, the supply of vaccines, current demand (number of recipients), availability of trained personnel to perform injections, and other parameters.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

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. Cloud Usage Waxing, not Waning.

Cloud 141

Cloud Serverless AWS Architecture 141

Smashing Magazine

NOVEMBER 22, 2021

Implementing this change enabled us to take major steps such as updating our infrastructure along with completely rewriting our core functionality from the ground up. This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. Upgrading Our Services And Infrastructure.

Website 126

Website Performance Google Media 126

Alex Russell

MAY 9, 2022

Teams adopting the [frameworks that are most popular among the "in" crowd]([link] are less reliably delivering acceptably fast sites versus the previous generation of web architectures.[^your-ecommerce-site-is-not-an-spa] through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it.

Performance 86

Performance Latency Metrics Engineering 86

Smashing Magazine

AUGUST 3, 2023

As an online booking platform, we connect travelers with transport providers worldwide, offering bus, ferry, train, and car transfers in over 30 countries. But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved.

Performance 74

Performance Cache Traffic Metrics 74

Alex Russell

JANUARY 30, 2024

Put another way, the performance gap between what devices the wealthy carry and what budget shoppers carry grew more this year (252 points) than the year-over-year gains from process and architecture at the volume price point (174 points). That's where the good news ends. But that's not the whole story! target="_new"> the U.K.

Performance 90

Performance Network Mobile Speed 90

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Infrastructure Optimization. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52