Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. What is serverless computing?

Serverless 244

Serverless Efficiency Lambda Azure 244

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Ready to supercharge your MongoDB experience?

Best Practices 86

Best Practices Hardware Tuning Scalability 86

The Morning Paper

JUNE 27, 2019

Machine learning systems are stuck in a rut Barham & Isard, HotOS’19. In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. That said, after around 17 minutes Tensor Comprehensions does find a solution that outperforms a hand-tuned CUDA solution.

Systems 87

Systems Tuning Programming Innovation 87

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. In fact, it can be difficult to make code changes that won’t disrupt the entire system.

Architecture 233

Architecture Artificial Intelligence Cloud Open Source 233

Percona

AUGUST 29, 2018

For optimum performance, a PostgreSQL database depends on the operating system parameters being defined correctly. In this post, we will discuss some important kernel parameters that can affect database server performance and how these should be tuned. PostgreSQL uses System V (SysV) that requires SHMMAX setting.

Tuning 55

Tuning Database Servers Processing 55

Percona

MAY 1, 2023

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. The innodb_io_capacity_max parameter was set to 2000, so the hardware should be able to deliver that many IOPS without major issues. Want to save money on your AWS RDS bill?

AWS 119

AWS Hardware Storage Tuning 119

The Netflix TechBlog

JANUARY 13, 2022

The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into failures periodically. We have been working on an auto-diagnosis and remediation system called Pensive in the data platform to address these concerns.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Percona

OCTOBER 18, 2023

Parallel run : Operating both the existing and new database system simultaneously during the transition, allowing for a seamless fallback in case of any issues. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you.

Open Source 91

Open Source Database Hardware Strategy 91

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Stay tuned!

Media 246

Media Open Source Efficiency Software Engineering 246

Scalegrid

JANUARY 25, 2024

These essential data points heavily influence both stability and efficiency within the system. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality. it signifies memory fragmentation. <code>127.0.0.1:6379>

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. Optimized system performance. What is log monitoring? Log monitoring vs log analytics.

Analytics 210

Analytics Monitoring Artificial Intelligence DevOps 210

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. Stay tuned for more announcements on this topic. Stay tuned for more details. The plugin module is not available at this time.

Java 133

Java Hardware Tuning Metrics 133

Dynatrace

AUGUST 10, 2019

This means that those of you who are limited to Windows-only systems can now also enjoy synthetic browser monitoring from private locations. Compliance with hardware requirements. Then follow the on-screen instructions to install a Synthetic enabled ActiveGate on a supported Windows system. What’s next?

Monitoring 104

Monitoring Hardware Tuning Mobile 104

Dynatrace

OCTOBER 28, 2021

The science has spawned specialized chaos engineers who dedicate themselves to disrupting cloud software and the on-prem systems they interact with to make them resilient. Because it can touch many systems, chaos engineering can have broad implications, affecting groups and stakeholders across the organization. Lack of observability.

Engineering 227

Engineering Entertainment Cloud Infrastructure 227

The Morning Paper

NOVEMBER 3, 2019

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. A micro-benchmark suite, LEBench was then built around tee system calls responsible for most of the time spent in the kernel.

Performance 108

Performance Benchmarking Tuning Hardware 108

SQL Performance

JANUARY 23, 2020

The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.". Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waiting queries mean waiting applications and users, and no one likes to wait!

Tuning 115

Tuning Servers Monitoring Hardware 115

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability.

Open Source 303

Open Source Traffic DevOps Cloud 303

Percona

DECEMBER 27, 2023

Another significant issue within security concerns is the escalating complexity of modern systems, especially in platforms like Kubernetes, which highlights the need for unified threat models and scanning tools to address vulnerabilities. Creating repositories for memory-safe patterns in cloud systems to improve overall security.

Cloud 79

Cloud Open Source Strategy Best Practices 79

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 104

Database Benchmarking Latency C++ 104

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. 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 Hardware 213

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. MySQL package installers for Linux systems should set this capability. Then we need to see IF implementing the tuning will work or not.

Tuning 44

Tuning Virtualization Testing Servers 44

Percona

JANUARY 4, 2024

In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables. Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning.

Storage 87

Storage Engineering Database Hardware 87

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52

Tuning Benchmarking Engineering C++ 52

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. sysbench is a widely used open-source benchmarking tool that is designed to evaluate the performance of CPU, memory, disk I/O, and database systems. Operating System: Ubuntu 22.04 4.22 %usr 38.40

Performance 54

Performance Benchmarking Cache Storage 54

DZone

AUGUST 16, 2019

It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system. Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM).

Scalability 145

Scalability Efficiency Hardware Software 145

The Morning Paper

MAY 21, 2019

” This paper describes a “far memory” system that has been in production deployment at Google since 2016. Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. The system also collects per-job cold-page histograms for a given set of predefined cold age thresholds.

Software 78

Software Software Google Hardware 78

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Dynatrace

OCTOBER 22, 2019

If your system is under high load, it can run into thread-locking issues that prevent upward linear scaling of your application. Many systems don’t scale in a linear fashion because they need to coordinate work across many threads. Dynatrace news. Threads enable your application to execute multiple tasks at the same time.

Java 103

Java Scalability Hardware Architecture 103

Alex Podelko

OCTOBER 20, 2016

Cloud seriously impacts system architectures that has a lot of performance-related consequences. First, we have a shift to centrally managed systems. Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. -New Architectures (this post). – New Technologies.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. 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. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Adrian Cockcroft

JUNE 2, 2023

FSD has a sense of purpose, a planning capability, has real time agency and responds to its environment via an ego model, predicting the behavior of pedestrians and other road users, and is being tuned to drive in a very human way, so that other road users interact with it as a predicable normal driver. Tristan Zajonc, CEO of Continual.ai

Social Media 98

Social Media Innovation Open Source Entertainment 98

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. But wow, I didn’t think we’d be at the point yet where we’d be abandoning TCP/IP!

Network 92

Network Transportation Latency Entertainment 92

HammerDB

OCTOBER 18, 2019

So lets take an Ubuntu system with Platinum 8280 CPUs with the following Ubuntu OS, reboot and check the CPU configuration before running any tests. So by default, the system boots into powersave. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00 uname -a Linux ubuntu19 5.3.0-rc3-custom 3834 2696 .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Microbenchmark os::javaTimeMillis() on both systems. Running this on the two systems saw similar results.

Speed 126

Speed Java AWS Virtualization 126

The Morning Paper

MARCH 17, 2020

Applications and files systems access App Direct memory using CPU instructions offering a variety of options for controlling the ordering of store operations: cache-line flush, cache-line write back, and non-temporal stores (bypassing the cache hierarchy). The NOVA NVMM file system improves write performance by up to 7x.

Scalability 59

Scalability Latency Cache Media 59

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. The optimizer chooses this plan without any hints on my system configuration because the estimated cost of the plan is below the cost threshold for parallelism. Cost" column shows the optimizer's cost estimate for each query as reported on the test system.

Servers 86

Servers Tuning Database Efficiency 86