Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes.

Lambda 221

Lambda AWS Serverless Latency 221

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 209

Cache Azure Infrastructure Monitoring 209

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

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 252

AWS Efficiency Azure Cloud 252

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps relies on manual correlations and dashboards for analysis. AIOps, on the other hand, uses AI and machine learning for automatic analysis and insights. Performance. What does IT operations do? ” The post What is ITOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Dynatrace news. This trend is prompting advances in both observability and monitoring.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Big Data 253

Big Data Government Analytics Processing 253

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. cameras) in many usages ranging from digital security/surveillance and automated retail (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

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. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second.

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

John McCalpin

APRIL 2, 2020

With a staff of slightly over 175 full-time employees (less than 1/2 in consulting roles), we must therefore focus on highly-leveraged performance analysis projects, rather than labor-intensive ones. This includes all architectures, all compilers, all operating systems, and all system configurations. Many of these applications (e.g.,

Benchmarking 59

Benchmarking Performance Latency Architecture 59

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. You'll have logs and analytics scattered across different CDNs. Let's dive deep into these challenges.‍1.

Traffic 52

Traffic Network Logistics Architecture 52

ACM Sigarch

MARCH 25, 2019

Part 1 previously discussed Bottleneck Analysis and Little’s Law, while this post (Part 2) presents the M/M/1 Queue. It also presented Bottleneck Analysis and Little’s Law that can give initial answers to questions like: What is the maximum throughput through several subsystems in series and parallel? and 1/S as ?.

Systems 53

Systems Latency Performance C++ 53

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

IO River

NOVEMBER 2, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. You'll have logs and analytics scattered across different CDNs. Let's dive deep into these challenges.‍1.

Traffic 40

Traffic Network Logistics Architecture 40

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin provides a powerful answer to this challenge.

IoT 45

IoT Ecommerce Analytics Latency 45

Smashing Magazine

AUGUST 3, 2023

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. We can then forward this data to a custom analytics service. The reportWebVitals function. Time to First Byte over time. LCP in seconds.

Performance 74

Performance Cache Traffic Metrics 74

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin provides a powerful answer to this challenge.

IoT 40

IoT Ecommerce Analytics Latency 40

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, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

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. iPhones account for less than half of sales. target="_new"> the U.K.

Performance 90

Performance Network Mobile Speed 90

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well.

AWS 136

AWS Latency Programming Architecture 136

IO River

NOVEMBER 2, 2023

Companies like Datadog and New Relic provide real-time monitoring and analytics for IT infrastructure and application performance, helping companies quickly identify and rectify issues before they can cause significant harm. ‍SaaS (Software as a Service)SaaS companies are not only limited to productivity tools and CRM systems.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

Companies like Datadog and New Relic provide real-time monitoring and analytics for IT infrastructure and application performance, helping companies quickly identify and rectify issues before they can cause significant harm. Another category that forms a critical part of many businesses operations is monitoring tools.

Availability 52

Availability Social Media Traffic Games 52

Alex Russell

MARCH 6, 2021

Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. CrUX data collection and first-party RUM analytics of these metrics require live traffic, meaning results can be predicted but only verified once deployed. Time (and chips) can heal these wounds if we only let it.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Treo Sites provides competitive analysis based on real-world data.

Performance 145

Performance Cache Network Metrics 145

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. ScaleOut hServer takes analytics a step further by hosting full Hadoop MapReduce on the IMDG.

Cache 40

Cache Servers Network Design 40

Alex Russell

JULY 14, 2021

Standard tools, analytics packages, and feature availability dashboards do not make mention of IABs, and the largest WebView IAB promulgators (Facebook, Pinterest, Snap, etc.) Such enforcement is not challenging for Google, given its existing binary analysis infrastructure. How can that be? Small Changes to Restore Choice #.

Google 121

Google Mobile Engineering Internet 121