Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

Engineering 214

Engineering Entertainment Cloud Infrastructure 214

Scalegrid

MARCH 22, 2024

This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Setting up clear rules for managing your cloud infrastructure is key to keeping things from getting out of hand.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs.

Metrics 169

Metrics Engineering Energy Tuning 169

Dynatrace

MAY 17, 2023

Heading over to `Infrastructure` / `Hosts` in your dashboard, you should now have an entry for the host where you installed OneAgent. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit. Host monitoring We start off with the very first layer: the host itself.

Metrics 163

Metrics Monitoring Database Network 163

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. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS).

Latency 213

Latency Traffic Transportation Cloud 213

Dynatrace

NOVEMBER 4, 2019

Gartner’s Top Emerging Trends in Cloud Native Infrastructure Report states, “Containers and Kubernetes are becoming the foundation for building cloud-native infrastructure to improve software velocity and developer productivity”. Automatic configuration of application network. Automatic rollout/rollback of containers.

Monitoring 212

Monitoring Cloud Metrics Code 212

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. Are you looking to enhance performance, improve scalability, cut expenses, or gain access to specific features you don’t currently have? Start by identifying the reasons driving the migration.

Open Source 90

Open Source Database Hardware Strategy 90

Dynatrace

DECEMBER 8, 2020

This result s in w eb – service integrations perforat ing firewalls, network content not being captured by intrusion detection and vulnerability scanners miss ing what’s running in production. . It inherits the automation, AI, scalability, and enterprise-grade robustness of the Dynatrace platform.

Cloud 280

Cloud Open Source Internet Internet 280

The Netflix TechBlog

DECEMBER 21, 2020

Orient: Gather tuning parameters for a particular table that changed. AutoOptimize relies on some of the Iceberg specific features such as snapshot and atomic operations to perform the optimizations in an accurate and scalable manner. AutoAnalyze In short, AutoAnalyze finds the best tuning/configuration parameters for a table.

Storage 203

Storage Latency Efficiency Data Engineering 203

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. That early decision was notable because whereas the GPL is applied if derivative work is distributed, the AGPL license applies both for distributed work and whenever end users interact with a program over a network.

Open Source 81

Open Source Programming Database Servers 81

Dynatrace

NOVEMBER 4, 2019

Gartner’s Top Emerging Trends in Cloud Native Infrastructure Report states, “Containers and Kubernetes are becoming the foundation for building cloud-native infrastructure to improve software velocity and developer productivity”. Automatic configuration of application network. Automatic rollout/rollback of containers.

Monitoring 100

Monitoring Cloud Metrics Code 100

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. These requirements impose strong scalability and resilience implications. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters.

Architecture 80

Architecture Scalability Google Operating System 80

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Brendan Gregg

APRIL 30, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. We first met each other at LISA, in addition to making many other important industry connections over the years.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. We first met each other at LISA, in addition to making many other important industry connections over the years.

DevOps 40

DevOps Network Best Practices Programming 40

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

KeyCDN

OCTOBER 31, 2018

PHPUnit is particularly useful for consistency and scalability testing. Additionally, DebugBar can monitor network traffic, inspect CSS elements and evaluate your JavaScript code. Aside from infrastructure monitoring, New Relic can collect user data and provide valuable analysis to assist you in creating a better user experience.

Development 57

Development Open Source Java AWS 57

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Infrastructure Optimization. What Infrastructure Do You Use? Egnyte Connect platform employs 3 data centers to fulfill requests from millions of users across the world.

Architecture 52

Architecture Cache Azure Storage 52

Rigor

SEPTEMBER 11, 2019

One of the top players in web performance, Ilya is a web performance engineer at Google, co-chair of the W3C Web Performance Working Group , and author of High Performance Browser Networking. Barry is a professional software developer who has nearly two decades of industry experience developing and supporting software and infrastructure.

Performance 89

Performance Education Google Website 89

Rigor

SEPTEMBER 3, 2019

This information can then be used to set up tests within a synthetic monitoring data platform such as Rigor to test how a user experience those flows on every type of device, network, connection, and location. STEP 7: Tune Your CDN Performance. Ultimately, the key to surviving a peak event is to have very good CDN cache designs.

Website 74

Website Cache Ecommerce Traffic 74

All Things Distributed

NOVEMBER 29, 2017

After this, there is often a long process of training that includes tuning the knobs and levers, called hyperparameters, that control the different aspects of the training algorithm. Finally, figuring out how to move the model into a scalable production environment can often be slow and inefficient for those that do not do it routinely.

Tuning 94

Tuning AWS Scalability Infrastructure 94

All Things Distributed

OCTOBER 2, 2017

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. A deep dive on how we were using our existing databases revealed that they were frequently not used for their relational capabilities.

Internet 128

Internet Internet AWS Performance 128