Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. Micrometer uses a registry to export metrics to monitoring systems. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Here’s how it works. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. ” The big idea.

Cache 61

Cache Benchmarking Hardware Java 61

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages.

Cache 232

Cache Ecommerce Social Media Database 232

The Netflix TechBlog

MARCH 8, 2021

Instead, we created a service to take the most popular configurations and cache them. We needed a system that could manage hundreds to one-day thousands of workstations. We needed a system that could manage hundreds to one-day thousands of workstations. Now, artists can get a new workstation in seconds. How did we get here?

Entertainment 306

Entertainment Storage Hardware Open Source 306

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. service with a composable JavaScript API that made downstream microservice calls, replacing the old Java API. Java…Script? It was a Node.js

Latency 233

Latency Cache Java Traffic 233

Brendan Gregg

APRIL 14, 2022

On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis. I hope my last two books, [Systems Performance 2nd Ed] and [BPF Performance Tools] serve Netflix well in my absence and everyone else who reads them.

Java 145

Java Cloud Cache AWS 145

Brendan Gregg

SEPTEMBER 5, 2021

They claimed that the ZFS file system was consuming 30% of CPU capacity. These included a breakdown of CPU time into percentages for "usr" (user: applications) and "sys" (system: the kernel). Note that this sample flame graph is dominated by Java, shown by the green frames. ## 4. No ZFS file systems were currently mounted.

Cache 145

Cache Cloud Java Tuning 145

Dynatrace

MAY 17, 2023

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. With observability, you can get a better understanding of how your systems behave and what they do, especially in case of errors. Why should I adopt observability?

Metrics 185

Metrics Open Source Traffic Cache 185

Brendan Gregg

AUGUST 29, 2021

1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03 avg-cpu: %user %nice %system %iowait %steal %idle 14.81 avg-cpu: %user %nice %system %iowait %steal %idle 14.86 avg-cpu: %user %nice %system %iowait %steal %idle 14.95 avg-cpu: %user %nice %system %iowait %steal %idle 14.54

Cache 105

Cache C++ AWS Latency 105

High Scalability

JULY 20, 2018

The third wing of the architecture piece is the “domain specific system-on-chip.” That means multiple data indirections mean multiple cache misses. tef : You can use a message broker to glue systems together, but never use one to cut systems apart. They are very expensive. This is where your performance goes.

Internet 121

Internet Internet Scalability Automotive 121

The Netflix TechBlog

OCTOBER 16, 2019

Dataset propagation At Netflix we use an in-house dataset pub/sub system called Gutenberg. Often the data is held in memory by consumers and used as a “total cache”, where it is accessed at runtime by client code and atomically swapped out under the hood. Gutenberg allows for propagating versioned datasets ?—?consumers

Cache 187

Cache Architecture Metrics Java 187

Dynatrace

DECEMBER 15, 2020

Upcoming Operating systems support changes. The following operating systems will no longer be supported starting 01 February 2021. The following operating systems will no longer be supported starting 01 May 2021. The following operating systems will no longer be supported starting 01 May 2021. Linux: Ubuntu 19.10.

Operating System 109

Operating System Java Mobile Cache 109

Dynatrace

OCTOBER 21, 2020

This is a great example of how valuable Dynatrace is for diagnosing performance or scalability issues, and a great testimony that we at Dynatrace use our own product and its various capabilities across our globally distributed systems. One of them being a small cache that would have brought the initial startup time down by about 95%.

Code 244

Code Cloud Engineering Java 244

Dynatrace

JUNE 16, 2020

IBM Z systems power billions of transactions each day and are used by most Fortune 500 companies. Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. Dynatrace news. This metric helps you to understand your current workload.

Innovation 152

Innovation Metrics Infrastructure Programming 152

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs are important because you’ll naturally want an event-based record of any notable anomalies across the system. Watch webinar now!

Open Source 224

Open Source Metrics Cloud Transportation 224

The Morning Paper

OCTOBER 18, 2020

But what about systems software? Radix Sort is carefully designed to make effective use of the L2 cache and sequential memory accesses, whereas Learned Sort is making random accesses all over the destination array. How can learned sort be adapted to make it cache-efficient? Sympathy for the machine. Linear splines result in 2.7x

Cache 137

Cache C++ Java Tuning 137

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Systems built with lots of microservices have different operational characteristics to those built from a small number of monoliths, we’d like to study and better understand those differences.

Open Source 61

Open Source Hardware Benchmarking Systems 61

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Try the API now in this 5 minute interactive tutorial. Learn more today.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Dynatrace

OCTOBER 15, 2020

Statically linked application binaries have their merits; they’re self-contained and they don’t have dependencies on the systems they’re deployed to. From http.Transport documentation : By default, Transport caches connections for future reuse. Go static monitoring showcase.

Transportation 186

Transportation Monitoring Metrics Code 186

All Things Distributed

JUNE 21, 2017

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. Adding caching when your app is already experiencing load is not easy.

Speed 121

Speed Cache Latency AWS 121

HammerDB

JUNE 27, 2022

HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Brendan Gregg

SEPTEMBER 5, 2021

They claimed that the ZFS file system was consuming 30% of CPU capacity. These included a breakdown of CPU time into percentages for "usr" (user: applications) and "sys" (system: the kernel). The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system.

Cache 52

Cache Cloud Java Tuning 52

Brendan Gregg

APRIL 14, 2022

On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis. I hope my last two books, Systems Performance 2nd Ed and BPF Performance Tools serve Netflix well in my absence and everyone else who reads them.

Java 52

Java Cache Cloud AWS 52

Brendan Gregg

AUGUST 29, 2021

1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03 avg-cpu: %user %nice %system %iowait %steal %idle 14.81 avg-cpu: %user %nice %system %iowait %steal %idle 14.86 avg-cpu: %user %nice %system %iowait %steal %idle 14.95 avg-cpu: %user %nice %system %iowait %steal %idle 14.54

Cache 40

Cache C++ AWS Systems 40

Dynatrace

APRIL 21, 2022

To optimize your back-end systems, you can use the service flow view within Dynatrace to identify layers of application architecture. To understand, reduce, and optimize back-end systems, the service flow diagrams can show common performance problems: Too many roundtrips between services. Missing caching layers.

Azure 193

Azure Monitoring Virtualization Metrics 193

Brendan Gregg

SEPTEMBER 5, 2021

They claimed that the ZFS file system was consuming 30% of CPU capacity. These included a breakdown of CPU time into percentages for "usr" (user: applications) and "sys" (system: the kernel). The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system. I worked on this code back at Sun.

Cache 40

Cache Cloud Java Tuning 40

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Edge caching. Languages: Java. Nginx for disk based caching. Java used to power core file system code.

Architecture 52

Architecture Cache Azure Storage 52

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

Enprowess

MARCH 4, 2018

Basically when group of servers and other resources act like a single system and enable high availability is termed as “Clustering”. Enable cluster link for cache replication. Let’s take an example of local file system store configuration for two nodes on same machine. With release of Liferay Portal CE 7.0

Cache 52

Cache Transportation Media Traffic 52

The Netflix TechBlog

DECEMBER 17, 2019

In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. We want to support these systems as a source so that they can provide their data for further consumption. Some of DBLog’s features are: Processes captured log events in-order.

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. We want to support these systems as a source so that they can provide their data for further consumption. Some of DBLog’s features are: Processes captured log events in-order.

Database 212

Database Traffic Transportation Open Source 212

Enprowess

MAY 24, 2022

This component-based architecture helps in collating an array of more extensive UI and converts them into an independent, self-sufficient micro-system. When a web crawler visits a server that has already rendered the content and pictures, indexing and caching of the content becomes quicker. It uses native components as building blocks.

Mobile 52

Mobile Open Source Virtualization Speed 52

Highly Scalable

APRIL 2, 2012

In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. The first piece of functionality is structural or hierarchical navigation through categories and products, which are the main business entities of the system. System Properties and Major Technical Requirements.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

KeyCDN

MARCH 28, 2019

They are responsible for the implementation of database systems, ensuring proper communication between various web services, generating backend functionality, and more. Laravel also offers its own database migration system and has a robust ecosystem. Backend developers work with a wide range of libraries, APIs, web services, etc.

Programming 77

Programming Website Scalability Design 77

The Morning Paper

SEPTEMBER 12, 2019

If you think about a system like Procella that’s combining transactional and analytic workloads on top of a cloud-native architecture, extensions to SQL for streaming , dataflow based materialized views (see e.g. It would be a bold departure from the current imperative high-level DSL based approach to deep learning taken by TensorFlow et al.,

Network 44

Network Database Programming Hardware 44

Smashing Magazine

JUNE 30, 2021

iOS empowers developers to easily parallelize code using Grand Central Dispatch , Android does this via their new, unified task scheduler WorkManager and game engines like Unity have job systems. On design systems, CSS/JS and UX. But regardless of where you look, multithreading is used everywhere. Jump to online workshops ?.

Games 145

Games Architecture Code C++ 145