Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. The need for a simplified approach to capture telemetry.

Lambda 231

Lambda Serverless AWS Latency 231

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 Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

MARCH 29, 2024

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. You can ask for the best configuration to reduce latency or improve the user experience.” Engineering teams are overwhelmed with stuff to do.”

Engineering 222

Engineering DevOps Operating System Open Source 222

InfoQ

JULY 14, 2023

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52

Latency Azure Availability Scalability 52

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 212

Lambda AWS Serverless Latency 212

Percona

NOVEMBER 9, 2023

You may already be using it daily and find it makes running applications in the cloud much more manageable. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. It has become the industry standard for cloud-native container orchestration.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Unlike a traditional IT model, however, cloud providers own and manage these resources. Reduced latency. Some organizations prefer a serverless approach.

Serverless 163

Serverless Infrastructure Lambda Latency 163

Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. You can also quickly scale out the capacity of your existing on-premises or cloud self-hosted Apache Cassandra clusters. Seeing the value.

Azure 234

Azure Latency Metrics Infrastructure 234

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? It is advantageous in the cloud to shut down compute resources when they are not being used, but there is then a query latency cost.

Architecture 76

Architecture Cloud Storage Serverless 76

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

The Morning Paper

OCTOBER 26, 2020

Helios: hyperscale indexing for the cloud & edge , Potharaju et al., Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. Why do we need a new reference architecture? PVLDB’20. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

Dynatrace

JANUARY 14, 2022

During a joint webinar , Henrik Rexed (Cloud Native Advocate, Dynatrace) joined us to talk about the Kubernetes challenges and how to leverage Dynatrace observability and Akamas AI-powered optimization to address them. The following figure shows the high-level architecture where any load testing solution (e.g. lower than 2%.).

Latency 200

Latency Tuning Efficiency AWS 200

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 219

Best Practices DevOps Latency Metrics 219

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. The Serverless Process.

Serverless 242

Serverless Efficiency Lambda Azure 242

Scalegrid

JUNE 4, 2020

DigitalOcean is a cost-effective cloud provider that caters to, and is widely adopted by the developer community. Along with many popular cloud providers, DigitalOcean also provides a Managed Databases service. Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Compare Pricing. Throughput.

Database 230

Database Latency Benchmarking Performance 230

The Netflix TechBlog

AUGUST 29, 2023

A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments.

Traffic 220

Traffic Latency Cloud C++ 220

The Netflix TechBlog

NOVEMBER 3, 2022

by Tomasz Bak and Fabio Kung Introduction Titus is the Netflix cloud container runtime that runs and manages containers at scale. The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. 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.

AWS 243

AWS Efficiency Azure Cloud 243

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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Dynatrace news. Deeper visibility and more precise answers.

Azure 146

Azure Cloud Big Data Virtualization 146

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In their new dashboard, they added dimensions for load, latency, and open problems for each component. Not all attempts succeed on the first try.

Automotive 267

Automotive Latency Architecture Azure 267

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

SEPTEMBER 18, 2020

It’s cliched to say that cloud adoption has changed everything in this race, but a full understanding of the intricacies of cloud-native applications is still rare. Cloud-based application architectures commonly leverage microservices. Cloud-based application architectures commonly leverage microservices.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.

Network 292

Network Media Innovation Efficiency 292

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in. Current state-of-the-art geo-replicated systems force their users to give up one of: (1) strict serializability, (2) low-latency writes, (3) high transactional throughput.

Latency 70

Latency Processing Benchmarking Systems 70

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. At a system level, SRE specialists develop tooling that coordinates releases and launches, evaluates system architecture readiness, and meets system-wide SLOs.

Engineering 252

Engineering DevOps Government Latency 252

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

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

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. This has a huge impact on application architecture, however having said that, it's not necessarily a bad idea.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.

Lambda 178

Lambda AWS Serverless Hardware 178

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. At a system level, SRE specialists develop tooling that coordinates releases and launches, evaluates system architecture readiness, and meets system-wide SLOs.

Engineering 173

Engineering DevOps Government Latency 173

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. A combination of these mechanisms may be necessary to tackle challenges arising from heterogeneous memory systems and NUMA architectures. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52

Latency Hardware Cache Architecture 52