Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Strategic Tech

JULY 29, 2021

If you would like to learn or practice how to break up a large business into domains and use them as the foundation for your software architecture and team organization, I have created a strategic domain-driven design kata that you may find useful. Who to invite? I recommend organising attendees into groups of 4–5 people.

Design 52

Design Software Architecture Architecture Strategy 52

DZone

APRIL 26, 2022

This is a republish of a blog on VentureBeat by Wei Li, Intel VP/GM, AI and Analytics (AIA). The exponential growth of data has fed artificial intelligence’s voracious appetite and led to its transformation from niche to omnipresent.

Software 130

Software Software Performance Hardware 130

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 166

Cloud Ecommerce Performance Retail 166

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. Marken architecture Above picture represents the block diagram of the architecture for our service. Our architecture makes it possible to easily onboard and ingest data from Media algorithms. zookeeper service, internationalization service etc.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 199

Cache Azure Infrastructure Monitoring 199

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. These and other product design details guide each user as he or she operates Dynatrace. Transparency.

Retail 230

Retail Storage Best Practices Architecture 230

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors.

Cloud 202

Cloud Energy Best Practices Cache 202

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 useful, have utility.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

APRIL 6, 2022

As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure. AWS manages the infrastructure of your Lambda functions however you still need to ensure that your implementations are designed to get the most out of your investment.

Lambda 162

Lambda AWS Serverless Infrastructure 162

Dynatrace

APRIL 6, 2022

As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure. AWS manages the infrastructure of your Lambda functions however you still need to ensure that your implementations are designed to get the most out of your investment.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

AUGUST 25, 2023

Understanding how dependencies affect application performance positions the team to make better decisions, such as adjusting service architecture or infrastructure to improve application performance or holding third-party vendors accountable for causing performance issues.

Government 196

Government Infrastructure Programming Cloud 196

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

Engineering 174

Engineering Tuning Latency Open Source 174

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Real-time anomaly detection.

Analytics 184

Analytics Software Software Storage 184

Dynatrace

JANUARY 23, 2024

While app-centric serverless approaches abstract some of the complexities of cloud-native architecture, as the analyst firm Forrester notes , the next frontier for serverless adoption is at the edge. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. By following key log analytics and log management best practices, teams can get more business value from their data.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

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. An SLO designed for the workload requirements right now may not be equally valid for future performance requirements.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 185

Design Storage Programming Analytics 185

Percona

MAY 8, 2023

Improved design The new Inventory page now provides a much clearer design and emphasizes useful information while downplaying reference details like service labels and IDs. ” To answer this question, you would have had to search by ID in a few places and be familiar with PMM’s internal architecture.

Monitoring 75

Monitoring Database Metrics Tuning 75

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. PostgreSQL is open source relational database management software. What is PostgreSQL used for?

Open Source 76

Open Source Healthcare Social Media Database 76

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

All Things Distributed

OCTOBER 17, 2016

Now customers who have been requesting a second US East region have more infrastructure options for running workloads, storing files, running analytics, and managing databases. As with all AWS AZs, the AZs in Ohio each have redundant power, networking, and connectivity, which are designed to be resilient to issues in another AZ.

AWS 127

AWS Cloud Infrastructure Analytics 127

Tech News Gather

FEBRUARY 20, 2024

Finally, indoor navigation solutions also offer enterprises detailed analytics. This includes floor plans, architectural drawings, and other relevant information that can be digitized into a suitable interface. It’s a big plus for business owners as well as potential customers can quickly make their way to them.

Mobile 52

Mobile Energy Transportation Technology 52

Percona

JUNE 23, 2023

When you look at the multi-version concurrency control (MVCC) design that PostgreSQL uses and compare it to the designs of other databases, it looks chaotic. Window Functions are great for analytics, but is that something you are going to use? The question becomes this: Is either database good enough for your needs?

Database 117

Database Transportation Servers Cloud 117

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. The Solution to Your Operational Diagnostics Woes.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Rigor

JANUARY 13, 2020

Information Architecture. For UX designers, product managers, developers - essential concepts, methods, and techniques for digital design that have withstood the test of time. Designing for Performance. High Performance Responsive Design. Responsive Web Design. Web Performance Daybook-Volume-2. Mobile First.

Performance 75

Performance Social Media Website Website Performance 75

The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 237

Performance Speed Google Media 237