Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Dynatrace news.

Serverless 228

Serverless Azure Monitoring Lambda 228

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

AUGUST 7, 2023

AI for cybersecurity Enterprises need a better solution for identifying security vulnerabilities that present the greatest risk. These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. Check out the following resources to learn more.

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. With Dynatrace Application Security , VA was able to immediately detect whether the vulnerability was present in any of its systems. Improved customer experience. Competitive advantage.

Strategy 166

Strategy Retail DevOps Education 166

Dynatrace

JUNE 15, 2023

Microservices-based architecture Applications built using microservices-based architecture can operate and interact across different cloud platforms. Container-based deployment Containers offer an ideal way to deploy and operate modern cloud apps, but they also present two main visibility challenges. Read report now!

Cloud 168

Cloud Open Source Architecture Monitoring 168

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Dynatrace news.

Serverless 139

Serverless Azure Monitoring Lambda 139

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that. Two approaches to AIOps. AIOps use cases.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

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. Automating IT practices without integrated AIOps presents several challenges.

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

The Netflix TechBlog

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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

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. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JUNE 9, 2021

Then I will describe various types of security products that can be used for web application security including some innovations that Dynatrace has recently introduced. Before one can design an optimal security approach, it helps to understand what kinds of vulnerabilities are commonly present in web applications.

Open Source 177

Open Source Entertainment Tuning Internet 177

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Today, security teams often employ SIEMs for log analytics.

Government 215

Government DevOps Infrastructure Network 215

Adrian Cockcroft

FEBRUARY 13, 2023

COM201 Being ethical in tech: Sustainability tips for work and life — no video, but here is a video of Aerin Booth presenting an earlier version of the talk. Good example, well presented interesting new material. Engaging presentation on an important topic, with some good advice on optimizing ML workloads.

AWS 64

AWS Energy Architecture Programming 64

Smashing Magazine

OCTOBER 11, 2022

Presenting The Case For Sustainability. Being able to present a business case, and demonstrate that the benefits outweigh the costs, will help justify focusing resources in the area of sustainability. For example, changing our database architecture to be more efficient could save on server costs. Switch your analytics.

Strategy 126

Strategy Development Energy Website 126

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. It shows some of the state information that the twin maintains and the code which analyzes incoming messages as they arrive: Aggregate Analytics Boost Situational Awareness. In-Memory Computing with Real Time Digital Twins: Fast and Agile.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. Their work produces higher-quality code and enables faster innovation, while maintaining high security standards.

Open Source 73

Open Source Database Storage Scalability 73

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Dynatrace news. Open source has also become a fundamental building block of the entire cloud-native stack.

Cloud 280

Cloud Open Source Internet Internet 280

Jos

JUNE 2, 2018

presented in Google IO 2018 ( source ) These tools make it easier to determine where we need to put emphasis to improve our sites. UI/UX : There is usually a designer and/or UX person that sets the look & feel and information architecture. Sure, that’s the most fun and innovative part! A screenshot of Lighthouse 3.0,

Performance 237

Performance Speed Google Media 237

Rigor

JANUARY 13, 2020

This book is about the network, from fundamental limitations that affect performance to major innovations for building even more powerful browser applications. This book presents 14 specific rules that will cut 25% to 50% off response time when users request a page. Information Architecture. Time is Money. Front End Tooling.

Performance 75

Performance Social Media Website Website Performance 75

Dynatrace

JANUARY 23, 2020

As a part of the “ Release better software faster ” breakout track at Perform Las Vegas 2020 , I’ll be presenting a session concentrating on deployment models and how to reduce risk and iterate faster. Creating dashboards highlighting business analytics of each deployment. From big bang to progressive deployments. Customer story.

Performance 34

Performance Benchmarking Innovation DevOps 34

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Tasktop

OCTOBER 20, 2020

From AI to the cloud, to predictive analytics and innovative systems, there are few places that software isn’t impacting the government. A long and onerous requirements process, complex architecture, strict governance, risk and compliance, and a drawn-out acquisition process that can result in an equally drawn-out delivery process.

Government 105

Government Programming Metrics Software 105

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. There is hardly any innovation from traditional CMS vendors. In addition, open source CMS solutions also struggle with blotted plugin ecosystem.

Systems 63

Systems Cache Website Network 63

Jos

JUNE 2, 2018

presented in Google IO 2018 ( source ). 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. Sure, that’s the most fun and innovative part!

Performance 130

Performance Speed Google Media 130

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. This introductory blog focuses on an overview of our journey.

Processing 229

Processing Media Latency Innovation 229

SQL Server According to Bob

FEBRUARY 15, 2018

When I started to write this post I thought I knew who all was presenting but then I had to go back over the session lineup to see for myself. Best practices on Building a Big Data Analytics Solution – Michael Rys. If anything just come to see me explain the architecture which is an amazing innovative piece of software.

Engineering 40

Engineering Azure Best Practices Servers 40

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Sale channels.

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

NOVEMBER 22, 2021

This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. This high rate of growth, coupled with the current scale and diversity of offerings presents a huge challenge when setting out to improve performance. To support all this, we have over 5,000 employees spread around the globe.

Website 128

Website Performance Google Media 128

All Things Distributed

APRIL 27, 2011

Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon. Service-oriented architecture -- or SOA -- is the fundamental building abstraction for Amazon technologies. Driving down the cost of Big-Data analytics. It is deeply integrated into everything we do.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

JANUARY 18, 2012

Each service encapsulates its own data and presents a hardened API for others to use. This architectural pattern was a response to the scaling challenges that had challenged Amazon.com through its first 5 years, when direct database access was one of the major bottlenecks in scaling and operating the business. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. but that would slow down our overall pace of innovation. Curious to learn more?

Innovation 243

Innovation Metrics Engineering Testing 243