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. Benefits of a Serverless Model. Response Times.

Serverless 57

Serverless Monitoring Lambda Latency 57

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. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

Architecture 228

Architecture Artificial Intelligence Cloud Open Source 228

Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. All your JMeter results in Dynatrace for better performance engineering. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ??

Innovation 152

Innovation Metrics Hardware Games 152

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. Host performance measures. For details on available metrics, see host performance monitoring.

Java 132

Java Hardware Tuning Metrics 132

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

Dynatrace

APRIL 21, 2023

The Office of the CTO wanted to ensure a positive citizen experience by identifying the 200+ critical applications available within their 21 executive agencies and offering application performance monitoring (APM) as a service to those agencies. Zbojniewicz wanted to drive APM and simultaneously decommission the legacy toolset successfully.

Government 159

Government Infrastructure Innovation Monitoring 159

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. Here are some of the tasks orchestration platforms are challenged to perform.

Open Source 298

Open Source Traffic DevOps Cloud 298

SQL Performance

JANUARY 23, 2020

"Waitstats helps us identify performance-related counters. But waits information by itself isn't enough to accurately diagnose performance problems. The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.".

Tuning 115

Tuning Servers Monitoring Hardware 115

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. Optimized system performance. More automation. Increased collaboration.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

AUGUST 12, 2020

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics. So stay tuned!

Serverless 234

Serverless Azure Monitoring Lambda 234

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. One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics. We leverage Python to protect our SSH resources using Bless.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

AUGUST 12, 2020

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics. So stay tuned!

Serverless 140

Serverless Azure Monitoring Lambda 140

Smashing Magazine

AUGUST 22, 2021

HTTP/3: Performance Improvements (Part 2). HTTP/3: Performance Improvements (Part 2). In this second part, we will zoom in on the performance improvements that QUIC and HTTP/3 bring to the table for web-page loading. HTTP/3 performance features ( current article ). Robin Marx. 2021-08-23T06:20:00+00:00.

Performance 105

Performance Network Latency Servers 105

HammerDB

OCTOBER 18, 2019

Nevertheless in this blog sometimes we do publish performance data to highlight best practices or potential configuration pitfalls and although we’ve mentioned this one before it is worth dedicating an entire post to it as this issue seems to appear numerous times running database workloads on Linux. hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

The Morning Paper

MAY 21, 2019

But for this to be realized in a practical manner, the system has to (1) be able to accurately control its aggressiveness to minimize the impact on application performance, and (2) be resilient to the variation of cold memory behavior across different machines,clusters, and jobs. Enter zswap!

Software 78

Software Software Google Hardware 78

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Host-performance measures.

Availability 31

Availability Hardware Java Tuning 31

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Host-performance measures.

Availability 25

Availability Hardware Java Tuning 25

Dotcom-Montior

OCTOBER 12, 2017

Dotcom-Monitor’s LoadView and Dynatrace are performance-engineering platforms by heart. This showcase demonstrates how the combination of both tools will close remaining gaps in the performance engineering chain. Big picture, start the performance analysis from there. Find root-cause of performance issues.

AWS 40

AWS Tuning Monitoring Servers 40

The Morning Paper

MARCH 17, 2020

Based on these findings, the authors present four guidelines to get the best performance out of this memory today. The data we have collected demonstrate that many of the assumptions that researchers have made about how NVDIMMs would behave and perform are incorrect. Understanding Optane DIMM performance. Optane DIMMs are here!

Scalability 59

Scalability Latency Cache Media 59

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” Office staff usually perform tasks like invoice processing by filling in a web form. Should it be? What’s required?

Games 116

Games Healthcare Processing Retail 116

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. Both calculations are performed over the per-thread truncated millisecond values.

Servers 95

Servers Tuning Architecture Processing 95

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed. Consistency When completed, a transaction must leave all data in a consistent state.

Servers 40

Servers Cache Media Hardware 40

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 Repeating the benchmark once again demonstrates that performance has degraded somewhat. Redundancy can potentially decrease overall performance.

Database 107

Database Benchmarking Latency C++ 107

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This post is about a secondary performance characteristic — sustained memory bandwidth for a single thread running on a single core. Stay tuned! On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

High Scalability

NOVEMBER 25, 2019

For e.g., if accessing file system over WebDAV or FTP has performance issues, and it will take 4 hours to fix, then for those 4 hours, you can just kill FTP/WebDAV at kong/firewall and ask customers to use web UI or other mechanisms to work. Who performs what roles? Combination of unit, functional, integration and performance tests.

Architecture 52

Architecture Cache Azure Storage 52