Dynatrace

OCTOBER 6, 2022

OpenTelemetry demo application architecture diagram. Both methods ingest data, but by using the Dynatrace OneAgent, users can automatically discover additional insights about their infrastructure, applications, processes, services and databases. Support for metrics will be extended in the near future, so stay tuned.

Open Source 176

Open Source Metrics Tuning Technology 176

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein.

AWS 52

AWS Energy IoT Best Practices 52

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. When we merge these two concepts together and present them to the customer, we have the plan selection page (shown above).

Engineering 142

Engineering Scalability Architecture Innovation 142

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. Bulldozer abstracts the underlying infrastructure on how the data moves.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

OCTOBER 18, 2019

Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides.

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

Dynatrace

FEBRUARY 25, 2021

At AWS re:Invent in 2018, the Lambda team presented an excellent talk. Distributing accounts across the infrastructure is an architectural decision, as a given account often has similar usage patterns, languages, and sizes for their Lambda functions. Stay tuned?for A look under the hood of AWS Lambda. functionality?in

Lambda 224

Lambda AWS Monitoring Serverless 224

The Netflix TechBlog

MARCH 1, 2021

As time passed the number of developers more than tripled, the breadth and depth of our use cases expanded, and our scale increased more than tenfold, the monolithic architecture significantly slowed down the delivery of new features. Stay tuned to learn more details of how Cosmos works and how we use it.

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

MAY 9, 2019

Some time ago, we decided to take a stab at a number of architectural challenges present in the OneAgent installer for Windows. This storage space was consumed not only on our own infrastructure but also on each of the Dynatrace cluster nodes in the case of Managed deployments. Dynatrace news. exe file and one for the *.msi

Storage 116

Storage Tuning Traffic Architecture 116

The Netflix TechBlog

OCTOBER 18, 2019

Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides.

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

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 Hardware 213

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. Orient: Gather tuning parameters for a particular table that changed. AutoAnalyze In short, AutoAnalyze finds the best tuning/configuration parameters for a table.

Storage 203

Storage Latency Efficiency Data Engineering 203

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Dynatrace

DECEMBER 8, 2020

More modern tools can provide runtime insights into certain platforms, like Kubernetes or containers, but are still limited in their ability to detect which libraries are actually used vs. those that are present, but unused. Stay tuned – this is only the start. They also can’t provide deep insights unless you have source code access.

Cloud 293

Cloud Open Source Internet Internet 293

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. mongodb-sysctl.conf – if /etc/sysctl.d

Best Practices 52

Best Practices Design Tuning Database 52

Percona

FEBRUARY 24, 2023

Your company operates a massive distributed architecture that spans multiple data centers and cloud providers, and your databases are a crucial part of this infrastructure. It’s currently part of our roadmap, so please stay tuned for upcoming releases of PMM and keep an eye on the release notes.

Metrics 104

Metrics Monitoring Database Engineering 104

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. More importantly for the present discussion, the row mode operator elapsed and CPU times represent the time used by the current operator and all its children. This is a lot slower than the serial batch mode query (2523ms/2522ms), as expected. CQScanProfileNew.

Servers 95

Servers Tuning Architecture Processing 95

The Netflix TechBlog

DECEMBER 17, 2019

Go to step 1 if more chunks present. DBLog High Level Architecture. High Availability DBLog uses active-passive architecture. Stay Tuned DBLog has additional capabilities which are not covered by this blog post, such as: Ability to capture table schemas without using locks. Figure 3?—?DBLog Figure 4— Delta Connector.

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

Go to step 1 if more chunks present. DBLog High Level Architecture. High Availability DBLog uses an active-passive architecture. Stay Tuned DBLog has additional capabilities which are not covered by this blog post, such as: Ability to capture table schemas without using locks. Figure 3?—?DBLog Figure 4— Delta Connector.

Database 212

Database Traffic Transportation Open Source 212

Brendan Gregg

APRIL 30, 2018

Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years. And we believe that everyone has valuable stories to share: Your tales of trial and error, analysis and workarounds, or architecture migrations, can happen at any company. ## Submit Your Work!

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years. And we believe that everyone has valuable stories to share: Your tales of trial and error, analysis and workarounds, or architecture migrations, can happen at any company. ## Submit Your Work!

DevOps 40

DevOps Network Best Practices Programming 40

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs. HotOS’19.

Hardware 58

Hardware Latency Serverless Energy 58

All Things Distributed

NOVEMBER 29, 2017

As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. 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.

Tuning 96

Tuning AWS Scalability Infrastructure 96