Dynatrace

APRIL 15, 2024

In contrast, observability enables teams to understand a system’s internal state by analyzing the data it generates, including logs, metrics, and traces. Every hardware, software, cloud infrastructure component, container, open source tool, and microservice generates records of every activity within modern environments.

Infrastructure 214

Infrastructure Efficiency Government Transportation 214

DZone

DECEMBER 27, 2020

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. User CPU time is the amount of time the processor spends in running your application code.

Operating System 211

Operating System Hardware Network Systems 211

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 245

Serverless Efficiency Lambda Azure 245

HammerDB

NOVEMBER 22, 2021

Introducing the PostgreSQL performance metrics viewer. HammerDB included a graphical performance metrics view for the Oracle database only. HammerDB includes the same functionality for PostgreSQL enabling the user to drill down on database metrics in real time. PostgreSQL Graphical Metrics. PostgreSQL Metrics treeview.

Metrics 62

Metrics Benchmarking C++ Database 62

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. What is AWS Lambda?

Lambda 184

Lambda AWS Serverless Hardware 184

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. Likewise, refactoring and rewriting code takes a lot of time and effort.

Architecture 237

Architecture Artificial Intelligence Cloud Open Source 237

Dynatrace

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. Cloud providers then manage physical hardware, virtual machines, and web server software management. In a FaaS model, developers can write code functions on demand, without being hindered by dependencies on existing applications.

Development 256

Development Serverless Best Practices Lambda 256

Dynatrace

MAY 14, 2020

Dynatrace has been building automated distributed application instrumentation—without the need to modify source code—for over 15 years already. Dynatrace PurePath technology captures and analyzes transactions end to end across every tier of your application technology stack, from the browser all the way down to the code and database level.

Processing 157

Processing Hardware Traffic Storage 157

Dynatrace

DECEMBER 16, 2021

It’s the same concept as Test Driven Development (TDD) where you start with tests that will fail until you finish implementing the code so tests will succeed. In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives? In Dynatrace that’s easy: App Adoption Rate. App Rating.

DevOps 210

DevOps Social Media Mobile Metrics 210

Tasktop

MAY 28, 2020

Jim has been instrumental in helping the company to double down on software innovation as a product mindset across complex value streams that straddle both software and hardware. Accelerating with a Software/Hardware Hybrid. Business Insights with Tasktop Viz and Flow Metrics. “If Cross-Organizational Visibility .

Speed 52

Speed Metrics Transportation Hardware 52

Dynatrace

JUNE 29, 2022

They use the same hardware, APIs, tools, and management controls for both the public and private clouds. Amazon Web Services (AWS) Outpost : This offering provides pre-configured hardware and software for customers to run native AWS computing, networking, and services on-premises in a cloud-native manner.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

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.

Java 133

Java Hardware Tuning Metrics 133

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. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

Serverless 239

Serverless Azure Monitoring Lambda 239

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 Hardware 213

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 307

Open Source Traffic DevOps Cloud 307

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. Ultimately, Zbojniewicz has saved $1.4M

Government 164

Government Infrastructure Innovation Monitoring 164

Dynatrace

APRIL 15, 2022

While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. “We have a rich metric expression language. “This facilitates what’s known as configuration as code or monitoring as code.

Cloud 182

Cloud Infrastructure Innovation Monitoring 182

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Such decisions must be attainable with little to no developer involvement in surfacing traces, metrics, and logs.

Google 195

Google Engineering Metrics Hardware 195

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. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

Serverless 143

Serverless Azure Monitoring Lambda 143

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. Logs are an essential part of the three fundamental pillars of observability : metrics, logs, and traces. More automation.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

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. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Does your traffic increase come with updated code changes that change the queries? Keep an eye out for metrics related to IOPS and disk utilization as traffic increases.

Traffic 86

Traffic Cache Monitoring Database 86

The Netflix TechBlog

DECEMBER 23, 2020

In the kernel, you’ll often see capability checks spread throughout the code, which looks something like this: [link] Notice this function doesn’t check if the user is root, but if the task has the CAP_SYS_ADMIN capability before allowing it to execute. Let’s go back to that kernel code example earlier. User Namespaces.

Media 286

Media Metrics Systems Processing 286

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). Application runtime: It’s kind of obvious really, but the time it takes to run your actual application code is going to be a large contributor to your TTFB. can all provide valuable insights.

Latency 269

Latency Ecommerce Servers Mobile 269

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. A distributed system comprises of a variety of hardware and software components with different operating systems and technologies, meaning the processors are separate and independent of each other. State is distributed through the system. Concurrency.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. In most cases, I’ve seen it’s either through bad coding, incorrect use of data access frameworks, or simply architecture that has grown over the years into something that became overly complex in terms of participating components and services.

Cache 201

Cache Architecture Database Government 201

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 104

Availability Database Open Source Hardware 104

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. These color-coded states on panels are available in PMM 2.32.0

Cloud 115

Cloud Serverless AWS Storage 115

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. The NOPM Metric. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Smashing Magazine

OCTOBER 27, 2021

Nowadays, hardware and software are designed to conduct eye-tracking studies for marketing , UX , psychological and medical research , gaming , and several other use cases. With detailed code walkthroughs , hands-on examples and common gotchas — all broken down into short, manageable lessons. More after jump!

Mobile 112

Mobile Website Hardware Social Media 112

HammerDB

OCTOBER 23, 2023

Also, note in passing that we include a COMMIT statement in this procedure because one is included in the example code in TPC-C specification. Copy Code Copied Use a different Browser # iperf -c 127.0.0.1 A stored procedure as it sounds is a procedure stored inside your database that you call with parameters.

Benchmarking 62

Benchmarking Database Network C++ 62

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. RUM gathers metrics from passive users while real user testing monitors testers who are actively looking for problems and vulnerabilities.

Strategy 72

Strategy Metrics Monitoring Servers 72

CSS - Tricks

JULY 25, 2019

Lighthouse records metrics from the browser, applies a scoring model to them, and presents an overall performance score. Guidelines for improvement are suggested based on how specific metrics score. During performance tests, Lighthouse records many metrics focused on what a user sees and experiences. In PageSpeed 5.0,

Google 71

Google Engineering Speed Mobile 71

Dotcom-Montior

MAY 12, 2020

Monitoring of page load time, page length, response time, and request code can also be observed with the traditional HTTP monitoring. There are certain metrics to be considered for a user to have a hassle-free experience. Hardware resources. Hardware Resources. If that is available, then a positive response is received.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Smashing Magazine

MAY 20, 2020

It’s happening because of new features being added and the fact that we sometimes don’t have a second thought on packages that we constantly add and update, or think about the complexity of our code. Which metrics should I use?” Which values of these metrics are acceptable?”. We can’t afford to have a slow app.

Performance 99

Performance Metrics Best Practices Code 99

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? Getting Ready: Planning And Metrics.

Performance 145

Performance Cache Media Metrics 145

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97