Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 170

Architecture Availability Infrastructure Monitoring 170

Dynatrace

AUGUST 26, 2020

There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale! I’d like to stress the lean approach to hardware that our customers require for running Dynatrace Managed. Optimal metric storage management strategy.

Performance 150

Performance Hardware Java Storage 150

The Netflix TechBlog

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. In the future, we are looking to automate this process. If it crosses a threshold, Atlas sends a notification to Streaming Pensive.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

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 file processing, for quickly indexing files, processing logs, and validating content. How does AWS Lambda work?

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

DZone

FEBRUARY 21, 2021

CPU consumption in Unix/Linux operating systems are studied using 8 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 , and Stolen CPU time. In Unix/Linux operating systems, processes are launched with a priority 0 (default).

Operating System 133

Operating System Hardware Metrics Systems 133

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 182

Infrastructure Cloud Azure AWS 182

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 208

Infrastructure Efficiency Government Transportation 208

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 231

Architecture Artificial Intelligence Cloud Open Source 231

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

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. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Cloud 213

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. These tools account for differences among fab locations and fabrication processes.

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news. Self-contained turnkey solution.

Availability 247

Availability Hardware Latency Traffic 247

Dynatrace

NOVEMBER 2, 2023

Setting aside APRA’s mandate and the heavy fines and penalties of non-compliance – it’s in companies’ best interests to undergo the process of identifying, assessing, and mitigating operational risk within the business. Acting without delay is still vitally important. Observability aims to interpret them all in real time.

Cloud 221

Cloud Infrastructure Strategy Hardware 221

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

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 is tracked via high-level health metrics with details for each host (these appear on your home dashboard by default).

Java 133

Java Hardware Tuning Metrics 133

Dynatrace

DECEMBER 16, 2021

In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives? Whether its our Metrics Ingest API or building a Dynatrace Extension. For our SLO the only thing we need is the default Mobile Crash Rate metric. In Dynatrace that’s easy: App Adoption Rate. App Rating.

DevOps 204

DevOps Social Media Mobile Metrics 204

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. A finely tuned database processes queries more efficiently, leading to swifter results. MySQL relies heavily on the availability of hardware resources to perform at its best.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 88

Database Hardware Open Source Strategy 88

Percona

NOVEMBER 3, 2023

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) psql pgbench <<_eof1_ qecho adding node citus3. psql pgbench <<_eof1_ qecho adding node citus3.

Database 105

Database Benchmarking Latency C++ 105

Dynatrace

NOVEMBER 22, 2022

Complicating the situation further, increasingly connected services are pushing more data processing to the edge. Gartner estimates that less than half of enterprise-generated data is now created and processed in data centers or the cloud. Gather observability data from all digital touchpoints.

Infrastructure 182

Infrastructure Availability Systems Retail 182

Dynatrace

JANUARY 16, 2023

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 343

Open Source Java Operating System Programming 343

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. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dotcom-Montior

NOVEMBER 24, 2021

Each process has its own independent memory that it works with. Software and hardware components are autonomous and execute tasks concurrently. For everything to work together in harmony, middleware is used to act as the conduit between these different hardware and software components. No Shared Memory. Concurrency. Complexity.

Systems 74

Systems Monitoring Hardware Network 74

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. 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. How to remove bloat?

Cloud 119

Cloud Serverless AWS Storage 119

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. Monitoring these metrics helps ensure data protection, minimize downtime, and ensure business continuity.

Performance 105

Performance Monitoring Traffic Database 105

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. The NOPM Metric. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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 108

Availability Database Open Source Hardware 108

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. The AOI will determine what areas you will calculate metrics for. The metrics and how they will be shown depending on the eye-tracking tool you choose.

Mobile 113

Mobile Website Hardware Social Media 113

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. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics.

Serverless 141

Serverless Azure Monitoring Lambda 141

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. The solution is proactive monitoring using time-lapse metrics monitoring like what you would get with Percona Monitoring and Management (PMM). Let’s take a look at each common resource.

Traffic 89

Traffic Cache Monitoring Database 89

Speed Curve

MARCH 7, 2022

How does page bloat affect other metrics, such as Google's Core Web Vitals? JavaScript is a massive CPU hog, so this is concerning, especially if your users are on older devices with less processing power. (If 62 requests before the Largest Layout Shift (a CLS-related metric that SpeedCurve captures). Cumulative Layout Shift.

Mobile 145

Mobile Benchmarking Google Metrics 145

Dotcom-Montior

MAY 12, 2020

A request will be sent from the client-side and an HTTP check waits on the server port to get the message, process it, and then send back the response. There are certain metrics to be considered for a user to have a hassle-free experience. Hardware resources. Processing and generating the response. Hardware Resources.

Monitoring 63

Monitoring Entertainment Hardware Latency 63