Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Reduced latency. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. No infrastructure to maintain.

Serverless 172

Serverless Infrastructure Lambda Latency 172

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. They also care about infrastructure: SREs require system visibility and incident management. Dynatrace enables teams to specify SLOs, such as latency, uptime, availability, and more.

Development 271

Development DevOps Programming Cloud 271

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 257

AWS Efficiency Azure Cloud 257

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Observability is essential to ensure the reliability, security and quality of any software system. Enable faster development and deployment cycles by abstracting away the infrastructure complexity. You can find the complete matrix of our support here.

Serverless 216

Serverless Lambda Azure AWS 216

High Scalability

JANUARY 11, 2022

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. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. System Components.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 2, 2021

For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if the SLA for a website is 99.95% uptime, its corresponding SLO could be 99.95% availability of the login services. For example, if your SLO guarantees 99.5% What are SLOs?

Metrics 200

Metrics Best Practices DevOps Infrastructure 200

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 213

Monitoring Social Media IoT Metrics 213

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. Organizations can offload much of the burden of managing app infrastructure and transition many functions to the cloud by going serverless with the help of Lambda. The Amazon Web Services ecosystem.

Lambda 187

Lambda AWS Serverless Hardware 187

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Let’s dig into these foundational SLO examples.

Traffic 174

Traffic Latency Website Virtualization 174

Dynatrace

AUGUST 27, 2019

Step 1 – Let Dynatrace analyze your infrastructure health in real-time. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution. xMatters creates a dedicated Slack channel.

Systems 177

Systems DevOps Latency Azure 177

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. Benefits of migrating to the cloud.

Cloud 172

Cloud Traffic Best Practices Strategy 172

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

Adrian Cockcroft

JANUARY 29, 2023

The common way to deal with this is to measure percentiles, and track the 90%, 99% response times for example. For example lets say you have a 99% within 2 seconds SLA, and your current 99%ile measured over one minute is 1 second. However it’s very difficult to decide what the right SLA is, or to tell how close you are to exceeding it.

Lambda 98

Lambda Latency Cache C++ 98

All Things Distributed

NOVEMBER 12, 2018

Today, I'm happy to announce that the AWS GovCloud (US-East) Region, our 19th global infrastructure Region, is now available for use by customers in the US. They appreciate the reduced latency, added redundancy, data durability, resiliency, greater disaster recovery capability, and the ability to scale across multiple Regions.

AWS 117

AWS Healthcare Cloud Government 117

All Things Distributed

NOVEMBER 13, 2018

Currently we have 57 Availability Zones across 19 technology infrastructure Regions. Lamborghini, the world-famous manufacturer of elite, luxury sports cars based in Italy, has been using AWS to reduce the cost of their infrastructure by 50 percent, while also achieving better performance and scalability. million unique visits.

AWS 167

AWS Energy Automotive Traffic 167

All Things Distributed

JANUARY 6, 2016

In November, Amazon Web Services announced that it would launch a new AWS infrastructure region in South Korea. For example, Samsung Electronic Printing used AWS to deploy its Printing Apps Center in a way that didn’t require them to invest up-front capital and kept total costs quite low.

AWS 110

AWS Cloud Games Latency 110

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. At that time, the team was made up of software engineers. Site reliability engineers bridge the gap between operations and software developers. What Does a Site Reliability Engineer Do?

Engineering 67

Engineering DevOps Monitoring Google 67

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52

IoT Azure Analytics Healthcare 52

The Morning Paper

OCTOBER 11, 2020

The particular form of local processing depends on the application, but it could include for example CNN-based image classification, object detection, segmentation, or even federated machine learning. Close-spaced constellation have much lower effective bandwidth, but also much lower latency.

Systems 125

Systems Latency Architecture Energy 125

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

ACM Sigarch

MARCH 18, 2019

Existing systems can be studied with measurement, while prospective systems are most often studied by extrapolating from measurements of prior systems or via simulation software that mimics target system function and provides performance metrics. Can one both minimize latency and maximize throughput for unscheduled work? Little’s Law.

Systems 60

Systems Latency Performance Analytics 60

Testsigma

AUGUST 24, 2020

Continuous Testing is the process of testing at all stages of software development – one after the another- without any human intervention. Continuous Testing makes it possible to eliminate testing as a bottleneck for faster software development and delivery. Continuous Testing is key to faster delivery of Agile products to the market.

Testing 69

Testing Open Source Scalability Latency 69

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. This reduces periods of underutilisation or non-use.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Five example SLOs for faster, more reliable apps 1.

Latency 185

Latency Website Traffic Virtualization 185

All Things Distributed

JANUARY 23, 2012

We have been working closely with our customers on their requests to bring the power of the Amazon Web Services cloud closer to their existing on-premises compute infrastructures. s storage infrastructure. The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.

Storage 115

Storage AWS Virtualization Cloud 115

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

MARCH 12, 2018

A great example of this is the way we are using ML to deal with one of the world's biggest and most tangled datasets: human speech. Second, you need a set of APIs to integrate with your IT apps and infrastructure, and third is having voice-enabled devices everywhere. For example, many meetings fail to start on time.

Systems 110

Systems AWS Games Transportation 110

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

Dotcom-Montior

DECEMBER 8, 2021

ITSM is one of the practices of the Information Technology Infrastructure Library, or ITIL. Software services still require physical devices and hardware for them to function. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers.

Social Media 90

Social Media Monitoring Latency DevOps 90

KeyCDN

AUGUST 15, 2019

In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

All Things Distributed

NOVEMBER 13, 2014

Customers want to focus on their unique application logic and business needs – not on the undifferentiated heavy lifting of provisioning and scaling servers, keeping software stacks patched and up to date, handling fleet-wide deployments, or dealing with routine monitoring, logging, and web service front ends.

Lambda 136

Lambda AWS Cloud Scalability 136

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 228

DevOps Traffic Efficiency Servers 228

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

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. For example, a video encoding service is built of components that are scale-agnostic: API, workflow, and functions.

Serverless 228

Serverless Media Latency Social Media 228