Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. What is generative AI?

Artificial Intelligence 228

Artificial Intelligence Cloud Best Practices DevOps 228

Dynatrace

JUNE 20, 2023

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. However, they had numerous custom applications with separate APIs.

Open Source 193

Open Source Google Serverless Azure 193

DZone

APRIL 26, 2022

The exponential growth of data has fed artificial intelligence’s voracious appetite and led to its transformation from niche to omnipresent. An equally important aspect of this AI growth equation is the ever-expanding demands it places on computer system requirements to deliver higher AI performance.

Software 130

Software Software Performance Hardware 130

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 226

Storage Government Network Infrastructure 226

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Causal AI use cases can complement other types of AI.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

ACM Sigarch

OCTOBER 10, 2022

Although, only recently the security attacks on quantum computers have begun to be demonstrated, this brings to the forefront the need to consider security of quantum computer architectures as a first-class design objective. Why Research Security of Quantum Computers?

Architecture 72

Architecture Hardware Programming Cloud 72

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Key ingredients required to deliver better software faster.

Software 246

Software Software Open Source Azure 246

Percona

SEPTEMBER 22, 2023

Percona is dedicated to open source software. But recently, open source software has come under attack. Once open source software is being locked away by changing licenses and code that you depended on. You either get to pay for the privilege of having less freedom or find yourself sequestered with rapidly aging software.

Open Source 115

Open Source Software Software Hardware 115

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 339

Traffic Latency Tuning Systems 339

The Morning Paper

FEBRUARY 16, 2020

Migrating a privacy-safe information extraction system to a software 2.0 This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a ‘Software 2.0’ A really interesting thing happens when you go from developing a Software 1.0 (i.e.,

Systems 84

Systems Design Software Software 84

Dynatrace

OCTOBER 23, 2023

Safeguarding against vulnerabilities, data breaches, and emerging threats while meeting regulatory compliance, legal requirements, and customer expectations borders on the impossible without a holistic approach. The goal of security by design is to minimize vulnerabilities and security risks from the outset before teams release software.

Design 216

Design Innovation DevOps Open Source 216

O'Reilly

NOVEMBER 7, 2019

Experts from across the software architecture world came together in Berlin for the O’Reilly Software Architecture Conference. Watch “ Cognitive biases in the architect’s life “ The three-headed dog: Architecture, process, structure. Cognitive biases in the architect’s life.

Software Architecture 53

Software Architecture Architecture Software Software 53

Dynatrace

DECEMBER 21, 2023

Growing awareness and increasing regulatory scrutiny have propelled carbon emissions data into the public consciousness. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful.

Cloud 208

Cloud Energy Best Practices Cache 208

Dynatrace

MARCH 1, 2023

As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. But the complexity and scale of multicloud architecture invites new enterprise challenges. Security vulnerabilities can easily creep into IT systems and create costly risks.

Strategy 211

Strategy Cloud Software Software 211

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. If system failures occur, teams must resolve them quickly and resolutely. Grail drives insights and decisions that preserve earnings and strengthen balance sheets.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details.

Engineering 225

Engineering DevOps Operating System Open Source 225

Dynatrace

FEBRUARY 1, 2024

Survey data indicates that IT professionals have turned to technology to help them address cloud interdependencies and complexity. Indeed, 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond humans’ ability to manage. Again, survey data supports this trend.

Cloud 230

Cloud Artificial Intelligence Strategy Government 230

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source 342

Open Source Java Operating System Programming 342

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle. What is SDLC?

Processing 64

Processing Software Software Development 64

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The rise of cloud-native microservice architectures further exacerbates this change. The data generated by applications to support operational teams has reached overwhelming proportions.

Retail 236

Retail Storage Best Practices Architecture 236

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 275

Efficiency Performance Analytics DevOps 275

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. Nanosatellite systems have a GSD of around 3.0m/px. hours from capture to receipt of data.

Systems 125

Systems Latency Architecture Energy 125

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Organizations face cloud complexity, data explosion, and a pronounced lack of ability to manage their cloud environments effectively. Then we can achieve this objective of delivering software that works perfectly.”

Cloud 221

Cloud Artificial Intelligence Innovation Azure 221

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Technology systems are difficult to wrangle. Our systems grow in accidental complexity and complication over time. The term "data scientist" was first used in the late 1990s. Vitruvius and the principles of architecture.

Strategy 100

Strategy Architecture Technology Technology 100

DZone

MAY 1, 2023

Caches are very useful software components that all engineers must know. It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components.

Cache 141

Cache Strategy Latency Operating System 141

Dynatrace

FEBRUARY 16, 2024

Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. A proactive approach to application security is essential: by constantly collecting and analyzing data, security analytics enables teams to catch problems before they escalate.

Analytics 181

Analytics Engineering Cloud Traffic 181

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 126

Cache Performance Servers Social Media 126

Dynatrace

NOVEMBER 14, 2023

Lack of collaboration leads to siloed observability data and leaves teams with little information to work from when attempting to deliver value. To overcome this hurdle, the panelists recommended that engineers communicate the value of SRE to higher-level executives through business data.

Best Practices 191

Best Practices Engineering DevOps Software Engineering 191

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Netflix software infrastructure is a large distributed ecosystem that consists of specialized functional tiers that are operated on the AWS and Netflix owned services. What is BPF?

Network 325

Network Transportation AWS Cloud 325

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

JULY 7, 2022

In multicloud environments, IT teams often struggle to take timely action given a deluge of data and alerts for issues ranging from system performance, security risks, and application problems. This automatic system analysis provides continuous intelligence to IT operations, DevOps, and site reliability engineering (SRE) teams.

Artificial Intelligence 179

Artificial Intelligence Automotive DevOps Infrastructure 179

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

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. ” What does a DevOps platform engineer do? .”

DevOps 190

DevOps Engineering Testing Open Source 190

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 222

Best Practices DevOps Latency Metrics 222

Dynatrace

MAY 23, 2022

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Therefore, application vulnerabilities can proliferate quickly and threaten sensitive employee or customer data. As a result, it’s important to know how to transform your data.

Strategy 224

Strategy Innovation Cloud Serverless 224