Dynatrace

MAY 31, 2023

The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 223

Best Practices DevOps Latency Metrics 223

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Automated risk management workflows, processes, and decisions.

Analytics 201

Analytics Infrastructure Efficiency Technology 201

Dynatrace

JULY 18, 2023

With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

Best Practices 190

Best Practices Code Infrastructure Latency 190

High Scalability

JANUARY 11, 2022

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. Architecture. There are two major processes which gets executed when a user posts a photo on Instagram. Problem Statement. High Level Design.

Design 334

Design Media Storage Logistics 334

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 176

Engineering DevOps Government Latency 176

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 247

AWS Efficiency Azure Cloud 247

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps?

Artificial Intelligence 203

Artificial Intelligence DevOps Hardware Virtualization 203

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. 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 Cloud 213

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 180

Lambda AWS Serverless Hardware 180

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. It was a Node.js Java…Script? The context around why the Node.js

Latency 233

Latency Cache Java Traffic 233

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets?

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

VoltDB

JULY 10, 2018

In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Scalegrid

MARCH 22, 2024

Deploying a multi-cloud environment involves a concerted effort in planning, negotiation with vendors, skill development, and understanding the advanced use cases of a multi-cloud approach for tailored industry solutions and compliance. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

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. Focus on Application Development.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Netflix TechBlog

MARCH 4, 2024

For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification. To address these challenges, we have developed a new feature, called Auto Remediation , which integrates the rule-based classifier with an ML service. user name).

Tuning 210

Tuning Efficiency Big Data Engineering 210

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. We’re in a process of adding support for new cloud services in bulk.

Azure 148

Azure Cloud Big Data Virtualization 148

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. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud 166

Cloud Traffic Best Practices Strategy 166

ACM Sigarch

MARCH 18, 2019

Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Can one both minimize latency and maximize throughput for unscheduled work?

Systems 60

Systems Latency Performance Analytics 60

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. Common Websocket Architecture. Event Sourcing Architecture.

Cache 128

Cache Performance Servers Social Media 128

Brendan Gregg

JULY 2, 2021

E.g., to see process execution with timestamps using execsnoop(8): # execsnoop-bpfcc -T. Low frequency events such as process execution should be negligible to capture. execsnoop New processes (via exec(2)) table. biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map.

Latency 145

Latency Cache Energy Systems 145

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

JULY 12, 2018

In recent times, in order to gain valuable insights or to develop the data-driven products companies such as Netflix, Spotify, Uber, AirBnB have built internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly Software

JUNE 12, 2018

In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it. This may allow for fast development of a new service, but over time, it becomes a major constraint.

Database 72

Database Cache Architecture Latency 72

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. Introduction. Let’s check: i.

Testing 69

Testing Open Source Scalability Latency 69

All Things Distributed

SEPTEMBER 25, 2012

Amazon RDS Provisioned IOPS is ideal for mission-critical online transaction processing (OLTP) workloads that require a high performance storage option with consistent IOPS, within a narrow band of tolerance. Being able to get consistent performance from the database tier has a huge impact on the application architecture. Contact Info.

Cloud 117

Cloud AWS Storage Database 117

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. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130

Cache Storage Scalability Architecture 130

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

All Things Distributed

NOVEMBER 8, 2012

For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. This enables your applications to take advantage of batch pricing more easily, without custom development. Within Amazonâ??s

Efficiency 104

Efficiency Cloud Games Scalability 104

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130