Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. What is the difference between monitoring and observability? Is observability really monitoring by another name? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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 184

Lambda AWS Serverless Hardware 184

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Monitoring. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 169

Cloud Traffic Best Practices Strategy 169

The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. 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. million elements.

Latency 213

Latency Traffic Transportation Hardware 213

Scalegrid

APRIL 16, 2020

Are you comfortable setting up your own cloud infrastructure through AWS or Azure? This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. Do you want to deploy in an AWS VPC or Azure VNET? Expert Tip.

Cloud 242

Cloud Azure AWS Database 242

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Because of this flexibility, businesses may choose the infrastructure that best meets their needs.

Efficiency 98

Efficiency Cloud Healthcare Open Source 98

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Query plan analysis can also provide valuable insights.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

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. trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) Monitoring. What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.

Hardware 58

Hardware Latency Serverless Energy 58

CSS Wizardry

OCTOBER 27, 2018

To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is. You’re out on the world wide web—you have no idea who is turning up to the site, what their context is, what hardware, software, or infrastructure they’re using, or anything. How: RUM tooling, analytics, monitoring.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

All Things Distributed

JULY 20, 2015

The agent allows Amazon ECS to communicate with the EC2 instances in the cluster to start, stop, and monitor containers as requested by a user or scheduler. To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures.

Latency 166

Latency Architecture AWS Open Source 166

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. Incident identification begins with some form of monitoring or alerting mechanism. These tools should be utilized along with your monitoring strategy.

Social Media 90

Social Media Monitoring Latency DevOps 90

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. Rapid Development - You can quickly deploy a function without having to worry about infrastructure resources and growth. Serverless Computing is also known as FaaS (Function as a Service). Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

The Morning Paper

JULY 4, 2019

In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. In this type of environment, there are many potential sources of failure, stemming from the infrastructure itself (e.g. a bug fix, configuration change, new feature, or A/B test).

Latency 77

Latency Engineering Metrics Traffic 77

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.

Database 167

Database Lambda AWS IoT 167

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

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. It is recommended to lower this setting and monitor the impact on query performance and disk IO. Two other schedulers are deadline and noop.

Best Practices 52

Best Practices Design Tuning Database 52

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 53

Latency Engineering Systems Hardware 53

KeyCDN

AUGUST 15, 2019

You may discover that your application’s performance issues are due to CPU or bandwidth limitations, so you’ll need to reallocate some resources or invest in a more robust infrastructure. Unlike spike tests, scalability tests involve gradually increasing workload while monitoring the effects on performance.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

AUGUST 5, 2019

For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. We let the OneAgent run and then leverage the data for the following key use cases.

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

OCTOBER 22, 2017

Tools and CI systems help them monitor progress & prevent regressions. Teams with this support are free to set performance budgets, do “bakeoffs” between competing approaches, and invest in performance infrastructure. Our baseline, then, should probably trade lower throughput/higher-latency for packet loss.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik and detailed guide by Rick Viscomi) or Treo Sites , a RUM monitoring tool that is powered by Chrome UX Report. Getting Ready: Planning And Metrics.

Performance 145

Performance Cache Network Metrics 145

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. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

Alex Russell

JULY 14, 2021

Apps can also monitor user input, resulting DOM, and system auto-filled credentials. Hardware access APIs, notably: Geolocation. Does any user expect that everything one does on any website loaded from a link in the Facebook app, Instagram, or Google Go can be fully monitored by those apps? Web OTP (for easier/faster sign-in).

Google 121

Google Mobile Engineering Internet 121