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 246

Operating System Hardware Technology Technology 246

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 246

Serverless Efficiency Lambda AWS 246

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. Built-in monitoring. Needs third party tools for monitoring.

Open Source 334

Open Source Traffic DevOps Cloud 334

Dynatrace

APRIL 21, 2023

In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible.

Government 239

Government Infrastructure Innovation Monitoring 239

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). Mainframe monitoring is an area of significant investment for Dynatrace. What’s included.

Availability 34

Availability Hardware Java Tuning 34

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. Here are details of the capabilities included in this release of OneAgent for Linux on the ARM platform: Deep-code monitoring. What’s included.

Java 182

Java Hardware Metrics Tuning 182

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 278

Architecture Artificial Intelligence Cloud Open Source 278

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

OCTOBER 24, 2019

With Dynatrace Synthetic Monitoring, you can easily do this by setting up private locations for your environments. You can execute synthetic monitors from such private locations to check the availability of internal resources. As synthetic monitors are run from Cluster ActiveGates, installation is centralized. What’s next?

Hardware 30

Hardware Monitoring Tuning Network 30

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

JANUARY 13, 2022

Once the individual diagnoses get stored in a Druid table, our monitoring and alerting system called Atlas does aggregations every minute and sends out alerts if there is a sudden increase in the number of failures due to platform errors. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge.

Big Data 241

Big Data Infrastructure Metrics Games 241

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Monitoring, alerting and auto-remediation The Insight Engineering team is responsible for building and operating the tools for operational insight, alerting, diagnostics, and auto-remediation.

Open Source 279

Open Source Network Infrastructure Big Data 279

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

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

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 111

Best Practices Hardware Tuning Scalability 111

Percona

MAY 1, 2023

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Database Efficiency Performance 52

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 218

Latency Traffic Transportation Cloud 218

Alex Podelko

OCTOBER 20, 2016

From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. System’s configuration is not given anymore and often can’t be easily mapped to hardware. The dynamic architectures represent a major challenge for both monitoring and analysis.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

SQL Server Performance

MARCH 12, 2019

An important concern in optimizing the hardware platform is hardware components that restrict performance, known as bottlenecks. You monitor the server over time so that you can determine Server average […]. Start with obtaining a performance baseline.

Hardware 40

Hardware Servers Monitoring Performance 40

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. This can also be seen using Percona Monitoring and Management (PMM) and checking the “MySQL overview” dashboard ->“MySQL table open cache status” graphic.

Cache 124

Cache Hardware Servers Benchmarking 124

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Monitoring. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

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 111

Open Source Database Strategy Hardware 111

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

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. ML-based auto-tuning. The best parameter configuration found by this process is periodically deployed to the WSC with a carefully monitored phased rollout. For Bigtable, zswap achieves 5-15% cold memory coverage.

Software 78

Software Software Google Hardware 78

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. For instance: mysql> show create table authorsG 1. mysql> ALTER TABLE authors ENCRYPTION='Y'; Query OK, 0 rows affected (0.05

Storage 114

Storage Engineering Database Open Source 114

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 125

Open Source Google Artificial Intelligence Infrastructure 125

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

Percona

JANUARY 19, 2023

There is a cool blog post from Vadim covering big data sets in MyRocks: MyRocks Use Case: Big Dataset Query tuning: It is common to find applications that at the beginning perform very well, but as data grows the performance starts to decrease. It was developed for optimizing data storage and access for big data sets.

Open Source 111

Open Source Storage Database Big Data 111

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. Is special-purpose training to fine-tune a model’s behavior an option?

Games 132

Games Healthcare Processing Systems 132

KeyCDN

SEPTEMBER 20, 2018

Let’s take a look at some of the best error monitoring tools and strategies for 2018. Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. What is Error Tracking?

Monitoring 67

Monitoring Strategy Website Google 67

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark.

Benchmarking 71

Benchmarking Database Operating System Architecture 71

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. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

Dotcom-Montior

OCTOBER 12, 2017

Integration Showcase: Dynatrace & Dotcom-Monitor’s LoadView. Dotcom-Monitor’s LoadView and Dynatrace are performance-engineering platforms by heart. Trial account for dotcom-monitor LoadView SaaS. Dynatrace is a SaaS based monitoring solution and supports a broad range of technologies. Installation.

AWS 40

AWS Monitoring Tuning Servers 40

SQL Performance

JUNE 21, 2019

While hardware such as intelligent SANs, Solid State Disk, and other advancements have helped speed things up, wasted space in index can translate to wasted space in the buffer pool as well as wasting more I/O. If you have big physical hardware with defaults, then you should look at optimizing MAXDOP. SQL Server Agent Alerts.

Servers 49

Servers Azure Hardware Database 49

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Unlike spike tests, scalability tests involve gradually increasing workload while monitoring the effects on performance. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55