Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Latency is the time that it takes a request to be served. SLOs aid decision making. SLOs promote automation. Define SLOs for each service. Reliability.

Software 252

Software Software Benchmarking Latency 252

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Adrian Cockcroft

MAY 6, 2023

I don’t advocate “Serverless Only”, and I recommended that if you need sustained high traffic, low latency and higher efficiency, then you should re-implement your rapid prototype as a continuously running autoscaled container, as part of a larger serverless event driven architecture, which is what they did.

Serverless 145

Serverless Lambda Best Practices Traffic 145

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. 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. High Level Design.

Design 334

Design Media Storage Logistics 334

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. However, Redis, with its single-threaded architecture, may encounter bottlenecks with large numbers of concurrent connections.

Cache 130

Cache Storage Scalability Architecture 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. By leveraging the Dynatrace Davis AI causation engine to watch for unforeseen changes in underlying API responsiveness, Dynatrace automatically identifies slowdowns in the performance of your API manager and points you to their root cause.

Infrastructure 189

Infrastructure Latency Metrics Analytics 189

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

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

SEPTEMBER 2, 2020

For engineers, instead of whodunit, the question is often “what failed and why?” An engineer can find herself digging through logs, poring over traces, and staring at dozens of dashboards. While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture.

Latency 296

Latency Transportation Engineering Traffic 296

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. One of the powerful workflows to leverage is continuous release validation.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The Dynatrace AIOps platform approach integrates data from disparate monitoring point solutions and uses deterministic AI to fully map the topology of complex, distributed architectures for real-time, actionable insights. Performance.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

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

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 180

Metrics Best Practices DevOps Infrastructure 180

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 209

Monitoring Metrics DevOps Scalability 209

Percona

JULY 17, 2023

1 among non-relational/document-based systems ( DB-Engines, July 2023 ). It’s a good setup for real-time analytics and high-speed logging. Redis can handle a high volume of operations per second, making it useful for running applications that require low latency. It ranks No. Couchbase — No. Couchbase — No.

Open Source 75

Open Source Database Scalability Software 75

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

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. Within an organization, the responsibility of monitoring these large distributed systems typically falls on site reliability engineering (SRE) teams. Today, there are a variety of architectures and systems in use. Types of Distributed Systems. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JULY 6, 2020

All this comes with the Dynatrace zero-configuration approach, automatic service detection, continuous data capture in context, and answers, not just data, from the Dynatrace Davis AI engine, making you ready for large-scale Azure deployments. Gain enhanced visibility into your Azure environment.

Azure 144

Azure Cloud Big Data Virtualization 144

Alex Russell

MAY 9, 2022

Engineers and managers on these teams universally want to deliver great experiences and have many questions about how to approach common challenges. Thankfully, much of what once needed hand-debugging by browser engineers has become automated and self-serve thanks to those collaborations. Protecting the Commons #.

Performance 86

Performance Latency Metrics Engineering 86

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

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

JUNE 25, 2021

I lead a dedicated Dynatrace engineering team which has contributed to the OpenTelemetry project since its inception. While OpenTelemetry does not provide analytics, a backend or a UI, it defines a format and provides exporters to send the collected telemetry data to third-party systems like Dynatrace. Dynatrace news.

Open Source 194

Open Source Monitoring Google Systems 194

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings. SEO is key to our success.

Performance 75

Performance Cache Traffic Metrics 75

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

Alex Russell

JANUARY 30, 2024

Engineering is the discipline of designing solutions under specific constraints. What we choose to do in response defines what it means to practice UX engineering ethically. It's clear that developers are out of touch with market ground-truth , but it's not obvious why. That's where the good news ends.

Performance 90

Performance Network Mobile Speed 90

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

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

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

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. These assistants can recommend next-best-action or suggest datasets, transforms, and rules to a data engineer working on a data integration project.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Alex Russell

MARCH 6, 2021

3] As we'll see below, CPUs are not improving fast enough to cope with frontend engineers' rosy resource assumptions. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. Network progress has been astonishing, particularly channel capacity (bandwidth).

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

JULY 13, 2010

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving down the cost of Big-Data analytics. There has been no easy way for developers to do this in Amazon EC2. until today.

Cloud 118

Cloud AWS Automotive Latency 118

Alex Russell

JULY 14, 2021

The 85% global-share OS (Android) has historically facilitated browser choice and diversity in browser engines. Engine diversity is essential, as it is the mechanism that causes competition to deliver better performance, capability, privacy, security, and user controls. If so, it's a browser regardless of the underlying engine.

Google 121

Google Mobile Engineering Internet 121

All Things Distributed

NOVEMBER 19, 2010

Science & Engineering. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. an engineering adventure to break the 1,000 mph barrier in a car. Driving down the cost of Big-Data analytics.

AWS 67

AWS Cloud Benchmarking Storage 67