Dynatrace

MARCH 8, 2021

We do our best to provide support for all popular hardware and OS platforms that are used by our customers for the hosting of their business services. Please check our detailed OneAgent support matrix to learn about feature availability on specific hardware and software platforms. What about ActiveGates? What about Dynatrace Managed?

Operating System 230

Operating System Hardware Technology Technology 230

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. If you see concurrency issues, you can tune this variable. have been released since then with some major changes. I hope this helps! References How MySQL 8.0.21

Performance 129

Performance Hardware Storage Tuning 129

Percona

NOVEMBER 2, 2023

Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. You should also review your hardware resources, how you use MongoDB, and any custom configurations.

Best Practices 93

Best Practices Hardware Tuning Scalability 93

Percona

AUGUST 29, 2018

In this post, we will discuss some important kernel parameters that can affect database server performance and how these should be tuned. There are no “good” values for these two parameters since both depend on the hardware. You can tune the difference between the two ratios depending on your disk IO load.

Tuning 58

Tuning Database Servers Systems 58

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 124

AWS Hardware Storage Tuning 124

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 242

Serverless Efficiency Lambda Azure 242

Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. PostgreSQL offers more light-weight tuning capabilities, like their Query Optimizer, and DBaaS platforms like ScaleGrid offer advanced slow query analysis. Compare Ease of Use. So Which Is Best?

Open Source 244

Open Source C++ Tuning Database 244

Dynatrace

APRIL 21, 2023

The agencies resisted adopting the tool because it required significant time to configure and tune collected metrics into valuable information. The obvious costs of tool sprawl can quickly add up, including licensing, support, maintenance, training, hardware, and often additional headcount.

Government 158

Government Infrastructure Innovation Monitoring 158

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 Software Engineering Efficiency 246

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 132

Java Hardware Tuning Metrics 132

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 98

Open Source Database Hardware Strategy 98

Dynatrace

AUGUST 12, 2020

With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned! These functions are usually triggered by events, therefore, Microsoft Azure is also commonly described as “event-driven FaaS.”

Serverless 234

Serverless Azure Monitoring Lambda 234

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. However, the move to microservices comes with its own challenges and complexities.

Architecture 227

Architecture Artificial Intelligence Open Source Cloud 227

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. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised.

Tuning 46

Tuning Virtualization Testing Servers 46

The Netflix TechBlog

JANUARY 13, 2022

This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge. Expand Pensive with Machine Learning classifiers.

Big Data 238

Big Data Infrastructure Metrics Architecture 238

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. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0 Headline results.

Benchmarking 108

Benchmarking Performance Tuning Hardware 108

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 108

Cache Hardware Servers Benchmarking 108

Dynatrace

AUGUST 10, 2019

Compliance with hardware requirements. So stay tuned for more news about: Cluster-wide locations for Dynatrace Managed. What you need to start synthetic monitoring with Windows ActiveGates. A synthetic-enabled environment ActiveGate: ActiveGate version 1.173+. Windows 2016 Server (or a supported Linux distribution ). What’s next?

Monitoring 103

Monitoring Hardware Tuning Mobile 103

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

Dynatrace

OCTOBER 26, 2020

So stay tuned. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project. If you want to replicate Christians work – here are the software and hardware specs: Hardware. Goal: sending metrics to Dynatrace.

Innovation 152

Innovation Metrics Hardware Open Source 152

Percona

DECEMBER 27, 2023

It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. This fully automated scaling and tuning will enable a serverless-like experience in our Operators and Everest. Developers will receive the endpoint without needing to consider resources and tuning at all.

Cloud 84

Cloud Open Source Strategy Best Practices 84

Scalegrid

JANUARY 25, 2024

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. Best Practices for Redis Performance Tuning Optimizing memory allocation is essential for improving Redis’s performance.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 297

Open Source Traffic DevOps Cloud 297

Dynatrace

AUGUST 12, 2020

With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned! These functions are usually triggered by events, therefore, Microsoft Azure is also commonly described as “event-driven FaaS.”

Serverless 140

Serverless Azure Monitoring Lambda 140

Percona

JANUARY 4, 2024

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 93

Storage Engineering Database Open Source 93

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge Redundancy can potentially decrease overall performance. A future blog will continue my exploration into Citus by scaling out pgbench into other architectures.

Database 110

Database Benchmarking Latency C++ 110

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering Best Practices 52

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. “Logging” is the practice of generating and storing logs for later analysis. Optimized system performance.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 28, 2021

Once established, chaos engineering becomes an effective way to fine tune service-level indicators and objectives, improve alerting, and build more efficient dashboards, so you know you are collecting all the data you need to accurately observe and analyze your environment.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

HammerDB

APRIL 19, 2023

Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform. For the experiments in this blog, we did not tune the system. on identical hardware, with identical settings, but at different load levels.

Benchmarking 54

Benchmarking Performance 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 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. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213

Latency Traffic Transportation Cloud 213

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier. The Gen4/Gen5 hardware configurations are considered "balanced memory and compute." These introduced the general-purpose and business-critical tiers with Gen 4 and Gen 5 processors.

Azure 55

Azure Database Serverless Hardware 55

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. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

The Morning Paper

JUNE 27, 2019

The thrust of the argument is that there’s a chain of inter-linked assumptions / dependencies from the hardware all the way to the programming model, and any time you step outside of the mainstream it’s sufficiently hard to get acceptable performance that researchers are discouraged from doing so. Challenges optimising whole programs.

Systems 87

Systems Tuning Programming Innovation 87

The Morning Paper

NOVEMBER 10, 2019

The ability to rapidly deploy new versions of Pony Express significantly aided development and tuning of congestion control. The congestion control algorithm we deploy with Pony Express is a variant of Timely , and runs on dedicated fabric QoS classes.

Network 92

Network Transportation Latency Entertainment 92

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. ML-based auto-tuning. The big advantage of the ML based approach is that it can continuously adapt to changes in the workload and WSC configuration without needing constant manual tuning. Evaluation.

Software 78

Software Software Google Hardware 78