Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Missing caching layers. Cost optimization.

Azure 246

Azure Monitoring Virtualization Metrics 246

Dynatrace

JUNE 16, 2020

Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. While a general processor can handle any workload, a zIIP can process only certain workloads like DB2, Java, or XML.

Innovation 207

Innovation Metrics Infrastructure Programming 207

Brendan Gregg

APRIL 14, 2022

I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. 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. PMC analysis (2017).

Java 142

Java Cloud Cache AWS 142

Brendan Gregg

SEPTEMBER 5, 2021

Monitoring I started with the cloud-wide monitoring tool, [Atlas], to check high-level CPU metrics. I was surprised to find a whopping 38% of CPU time was in sys, which is highly unusual for cloud workloads at my employer. Just for illustration, this shows the Vector UI and a typical cloud flame graph. Ahh, it makes sense now.

Cache 141

Cache Cloud Code Java 141

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. It exports any pre-instrumented metrics for JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization as well as custom metrics to the Dynatrace Metrics API v2. of Micrometer.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. It exports any pre-instrumented metrics for JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization as well as custom metrics to the Dynatrace Metrics API v2. of Micrometer.

Metrics 130

Metrics Java Latency Cache 130

DZone

MAY 19, 2019

Even if my application runs in the cloud on the JVM, despite all of those software layers abstracting away the underlying hardware, the volatile keyword is still needed due to the cache of the processor that my software runs on. The Volatile Keyword and the Cache of Modern Processors.

Cache 145

Cache Hardware Architecture Cloud 145

Dynatrace

MAY 17, 2023

But as more workloads are shifting to hundreds of separate cloud-based services running in containers across multiple platforms, observability has become exponentially more difficult. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags.

Metrics 245

Metrics Open Source Traffic Cache 245

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. That means multiple data indirections mean multiple cache misses. crabbone : This is the prism through which Java programmers view the world.

Internet 121

Internet Internet Scalability Automotive 121

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. You're just saving a pushl, movl, an series of operations that (for obvious reasons) is highly optimized on x86.

Java 137

Java Cache Google Hardware 137

Dynatrace

OCTOBER 15, 2020

Improve cloud platform management with deeper insights into platform metrics. It accepted requests from a Java-based load generator on port 8888 and forwarded the requests to the default port, 8086 , of a locally running InfluxDB instance that was installed via the apt-get package manager. Go static monitoring showcase.

Transportation 190

Transportation Monitoring Metrics Code 190

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 94

Speed Cache Latency AWS 94

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. Their cloud architecture has two main components: a point-of-sales system and a merchandising system.

Database 156

Database Lambda AWS IoT 156

Brendan Gregg

AUGUST 29, 2021

A cloud-wide monitoring tool, Atlas, showed a high rate of paging for the larger file uploads: The blue is pageins (page ins). Reads usually have apps waiting on them; writes may not (write-back caching). total used free shared buff/cache available Mem: 64414 15421 349 5 48643 48409 Swap: 0 0 0. Counting cache functions.

Cache 78

Cache C++ AWS Java 78

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., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

Open Source 61

Open Source Hardware Benchmarking Systems 61

The Netflix TechBlog

DECEMBER 17, 2019

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses commonly available database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps. Proceedings of the Third ACM Symposium on Cloud Computing.

Database 221

Database Traffic Transportation Open Source 221

The Netflix TechBlog

DECEMBER 17, 2019

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses standardized database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps. Proceedings of the Third ACM Symposium on Cloud Computing.

Database 206

Database Traffic Transportation Open Source 206

HammerDB

JUNE 27, 2022

The results of HammerDB workloads have been published by all leading cloud vendors, database software vendors and systems suppliers, HammerDB maintains a collated list of these publications but does not vet or audit results before inclusion. Cached vs Scaled Workloads. Instead, most users prefer to implement a cached workload.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Brendan Gregg

APRIL 14, 2022

offer letter logo (2014) flame graphs (2014) eBPF tools (2014-2019) PMC analysis (2017) my pandemic-abandoned desk (2020); office wall I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive work culture. I could help not only Netflix but all customers of the cloud.

Java 52

Java Cloud Cache AWS 52

Brendan Gregg

SEPTEMBER 5, 2021

Monitoring I started with the cloud-wide monitoring tool, Atlas , to check high-level CPU metrics. I was surprised to find a whopping 38% of CPU time was in sys, which is highly unusual for cloud workloads at Netflix. The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system.

Cache 52

Cache Cloud Java Tuning 52

High Scalability

FEBRUARY 19, 2019

Redis Cluster is the native sharding implementation available within Redis that allows you to automatically distribute your data across multiple nodes without having to rely on external tools and utilities. At ScaleGrid, we recently added support for Redis Clusters on our platform through our fully managed Redis hosting plans.

Availability 204

Availability Open Source Cache Storage 204

KeyCDN

MARCH 28, 2019

Features Great routing API Minimalistic and unopinionated Setup is easy and it’s straightforward to learn Large number of plugins available for use Spring Boot Spring Boot is a development framework based on Java. Its caching capabilities will play a big part in this and will determine how easy it is to scale your application.

Programming 77

Programming Website Scalability Design 77

Brendan Gregg

SEPTEMBER 5, 2021

Monitoring I started with the cloud-wide monitoring tool, [Atlas], to check high-level CPU metrics. I was surprised to find a whopping 38% of CPU time was in sys, which is highly unusual for cloud workloads at Netflix. The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system.

Cache 40

Cache Cloud Code Java 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Ecommerce 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Ecommerce 40

Brendan Gregg

AUGUST 29, 2021

A cloud-wide monitoring tool, Atlas, showed a high rate of paging for the larger file uploads: The blue is pageins (page ins). Reads usually have apps waiting on them; writes may not (write-back caching). This is a 64-Gbyte memory system, and 48 Gbytes is in the page cache (the file system cache). This is "cache busting."

Cache 40

Cache C++ AWS Systems 40

The Morning Paper

SEPTEMBER 12, 2019

A pipeline breaker occurs when the output of one operator must be materialized to disk or transferred over the network, as opposed to being directly communicated from operator to operator via CPU cache, or, in the worst case, via RAM. VLDB’19.

Network 44

Network Database Programming Hardware 44

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Edge caching. Migration to cloud.

Architecture 52

Architecture Cache Azure Storage 52