Dynatrace

MAY 1, 2023

This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

DZone

JULY 23, 2021

It also provides information for organizations setting up high recovery mechanisms for transaction reconciliation and settlement in case of failure, as well as transaction disruption events during a network failure. The fail-over condition arises due to uncontrolled network failure, OS failure, hardware failure or DR drill.

Hardware 246

Hardware Network Processing Availability 246

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

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. Networking. Event logs for ad-hoc analysis and auditing.

Open Source 307

Open Source Traffic DevOps Cloud 307

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. This means that users only pay for the computing resources they actually use, rather than having to invest in expensive hardware and software upfront.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications? These alerts tend to slow down development.

Cloud 181

Cloud Open Source Architecture Monitoring 181

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library.

Hardware 40

Hardware Transportation Performance Latency 40

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. Let’s say your application is making network calls to external applications.

Operating System 211

Operating System Hardware Network Systems 211

The Netflix TechBlog

NOVEMBER 9, 2021

We were very pleased to see that AV1 streaming improved members’ viewing experience, particularly under challenging network conditions. 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.

Media 246

Media Open Source Efficiency Software Engineering 246

The Netflix TechBlog

APRIL 29, 2019

Open Connect Open Connect is Netflix’s content delivery network (CDN). video streaming) takes place in the Open Connect network. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. If any of this interests you, check out the jobs site or find us at PyCon. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

SEPTEMBER 15, 2020

It differentiates Dynatrace as an AWS Partner Network (APN) member with a fully tested product on AWS Outposts. “We Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”.

AWS 204

AWS Design Storage Cloud 204

High Scalability

OCTOBER 24, 2022

Cloud Infrastructure Services -- An analysis of potentially anti-competitive practices by Professor Frédéric Jenny. Each cloud-native evolution is about using the hardware more efficiently. Network effects are not the same as monopoly control. A group advocating for fair licensing. Neither are clouds.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

APRIL 5, 2021

You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. As a bonus, operations staff never needs to update operating systems or hardware, because AWS manages servers with no stoppage of application functionality. Customizing and connecting these services requires code.

Lambda 183

Lambda AWS Serverless Hardware 183

Dynatrace

NOVEMBER 22, 2022

Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. Apply AI for real-time root-cause analysis.

Infrastructure 188

Infrastructure Availability Systems Retail 188

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. Network measurements with per-interface and per-process resolution. Network metrics are also collected for detected processes.

Java 133

Java Hardware Tuning Metrics 133

Scalegrid

JANUARY 5, 2024

Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types. For professions heavily relying on data analysis and automated processes, DBMS plays a vital part, enabling professionals to work more efficiently and make informed decisions.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. In December 2021, many organizations were forced to take devices and applications offline to prevent malicious attackers from gaining access to networks and sensitive data. AIOps for root-cause analysis becomes critical.

Serverless 270

Serverless Infrastructure Innovation DevOps 270

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. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 104

Availability Database Open Source Hardware 104

Testlodge

NOVEMBER 12, 2021

Hardware Compatibility Testing: In this scenario, an application is tested against various hardware configurations to check behavior. Network Compatibility Testing: Application connected with different available networks such as 3G, 4G, LTE, Wi-Fi, need to be tested too.

Testing 78

Testing Hardware Operating System Mobile 78

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. 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.

Metrics 130

Metrics Monitoring Latency Cache 130

DZone

JANUARY 16, 2021

CPU consumption in Unix/Linux operating systems is broken down into 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 this article, let us study ‘waiting CPU time’. What Is ‘Waiting’ CPU Time?

Operating System 124

Operating System Hardware Network Metrics 124

Dynatrace

OCTOBER 28, 2021

To test the hypothesis, chaos engineers orchestrate simulated uncertainty combined with load testing and watch for signs of upheaval in the services, infrastructure, networks, and devices that deliver the application. Any failures in the stack break the hypothesis. Blast radius. That’s a good thing.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

Percona

NOVEMBER 9, 2023

Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Just consider the sheer number of people who stream Netflix every night!

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there.

Energy 130

Energy Latency Performance Network 130

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little. Reduced cost.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

NOVEMBER 11, 2020

As such, it’s quite often a network-shared mount point that multiple hosts use to store third party software and libraries. This may affect our ability to perform support-case analysis of past events, but your environment will remain stable. You can also easily choose an existing network zone or host group.

Best Practices 202

Best Practices Storage Java Benchmarking 202

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

Testsigma

FEBRUARY 3, 2021

Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. Also, how to test the hardware of the mobile phone itself, is it supporting all the software as it should? Let us have a look at the most popular types of mobile testing for applications and hardware.

Mobile 82

Mobile Testing Hardware C++ 82

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. A bigger problem with query is that when it matches many results, a large amount of data may need to be returned over the network to the requesting client for processing, as illustrated below.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

JUNE 22, 2023

long_query_time: Defines the threshold for query execution time, and queries taking longer than this threshold are considered slow and logged for further analysis innodb_buffer_pool_size: Sets the size of the InnoDB buffer pool. The point we’re making here is they are critical for MySQL Performance.

Performance 102

Performance Monitoring Traffic Database 102

Tech News Gather

JUNE 30, 2023

It combines hardware, software, data, and people to facilitate effective decision-making by providing a deeper understanding of the relationships between different locations and their attributes. These applications can range from simple map viewers to complex spatial analysis tools.

Technology 52

Technology Technology Development Retail 52

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. A bigger problem with query is that when it matches many results, a large amount of data may need to be returned over the network to the requesting client for processing, as illustrated below.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Too many fine-grained services leading to network and communication overhead. All this was made possible without any need for hardware upgrades : Misconfigured queue and pool sizes are a common issue in distributed architectures. .

Cache 201

Cache Database Architecture Government 201

The Morning Paper

FEBRUARY 27, 2020

memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. Ambient faults due to e.g. hardware faults, network timeouts, and gray failures are occurring all the time, and many of these are unrelated to deployments.

Analytics 68

Analytics Infrastructure Cloud Hardware 68