Dynatrace

JULY 24, 2024

By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

SEPTEMBER 27, 2024

The app automatically builds baselines, important reference points for analyzing the environmental impact of individual hardware or software instances. Some use cases benefit from dashboards or ad-hoc analytics, complementing the insights from Carbon Impact. In other words, APM best practices are close to Green Coding best practices.

Energy 246

Energy Infrastructure Cloud Best Practices 246

Dynatrace

AUGUST 8, 2024

To cope with the risk of cyberattacks, companies should implement robust security measures combining proactive preventive measures such as runtime vulnerability analytics , with comprehensive application and perimeter protection through firewalls, intrusion detection systems, and regular security audits.

Software 290

Software Software Infrastructure Network 290

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Although modern cloud systems simplify tasks, such as deploying apps and provisioning new hardware and servers, hybrid cloud and multicloud environments are often complex.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 109

Analytics Cloud Healthcare Retail 109

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 280

Open Source Network Infrastructure Big Data 280

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 189

Architecture Availability Infrastructure Monitoring 189

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 334

Open Source DevOps Traffic Cloud 334

Dynatrace

OCTOBER 28, 2020

This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. There’s a more efficient way with Dynatrace. And even Digital business analytics. Read below to see what you get with the Dynatrace platform.

Monitoring 225

Monitoring Systems Infrastructure Cloud 225

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

DECEMBER 20, 2019

There’s a more efficient way with Dynatrace! You can’t keep pace by simply upgrading to the latest hardware and updating to the latest release twice a year. AppMon is still the best-in-class second-generation APM solution, but it requires you to instrument each process manually and pick the corresponding agent technology.

Infrastructure 189

Infrastructure Cloud Monitoring Government 189

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 136

Performance Monitoring Traffic Database 136

Scalegrid

JUNE 14, 2024

Understanding Power BI Definition and Purpose Power BI is a business analytics service that can gather all your data in a single platform and enable users to analyze and visualize easily. Benefits of Power BI The advantages of Power BI are manifold, from its intuitive interface to its ability to handle large datasets efficiently.

Database 130

Database Azure Efficiency Servers 130

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

Scalegrid

JANUARY 21, 2025

This ensures each Redis instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every commands function and how to decipher its output. Its equally important to put preventative measures in place.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JUNE 11, 2019

There are many more opportunities to customize your infrastructure with an on-premise setup, but requires a significant upfront investment in hardware and software computing resources, as well as on-going maintenance responsibilities.

Open Source 55

Open Source Database Cloud Infrastructure 55

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Introduction of clustered collections for optimized analytical queries. In MongoDB 6.x:

Best Practices 111

Best Practices Hardware Tuning Scalability 111

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output. It’s equally important to put preventative measures in place.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

NOVEMBER 15, 2010

Now that our ability to generate higher and higher clock rates has stalled and CPU architectural improvements have shifted focus towards multiple cores, we see that it is becoming harder to efficiently use these computer systems. Driving down the cost of Big-Data analytics. General Purpose GPU programming.

AWS 125

AWS Programming Latency Architecture 125

Highly Scalable

AUGUST 20, 2013

The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Thus, on a conceptual level, an efficient query engine in a distributed database can act as a stream processing system and vice versa, a stream processing system can act as a distributed database query engine. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

Testlodge

NOVEMBER 12, 2021

If executed efficiently with maximum coverage, can confirm the stability and workability of the application. Hardware Compatibility Testing: In this scenario, an application is tested against various hardware configurations to check behavior. Types of Compatibility Testing.

Testing 78

Testing Hardware Operating System Mobile 78

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables.

Database 158

Database Lambda AWS IoT 158

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

All Things Distributed

JANUARY 18, 2012

DynamoDB frees developers from the headaches of provisioning hardware and software, setting up and configuring a distributed database cluster, and managing ongoing cluster operations. Additional request capacity is priced at cost-efficiently hourly rates as low as $.01

Scalability 162

Scalability Database Ecommerce Latency 162

VoltDB

JUNE 26, 2024

Smart manufacturers are always looking for ways to decrease operating expenses, increase overall efficiency, reduce downtime, and maximize production. Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

Dotcom-Montior

OCTOBER 6, 2021

Site reliability engineers are focused with creating scalable and reliable software systems, so this also includes ensuring that development work is efficient and reliable, so when the finished product is ready for production, there are no surprises. that are required to keep the software deployments live are running efficiently.

Engineering 67

Engineering DevOps Monitoring Google 67

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. It’s good to see issues like safety and security near the top of the list.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

Dotcom-Montior

DECEMBER 8, 2021

By ITIL definition, the service desk may take the form of incident resolution or service requests, but whatever the case, the primary goal of the service desk to provide quick and efficient service. Software services still require physical devices and hardware for them to function. Problem Management. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. Data pipeline initiatives are generally unfinished projects.

Latency 63

Latency Analytics Scalability Engineering 63

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. It seems to have become more-or-less ubiquitous on the web for everyone to analyze what their website’s visitors do via tools like Google Analytics, KISSmetrics, Piwik, etc.

Website Performance 78

Website Performance Website Energy Performance 78

Percona

DECEMBER 14, 2022

Online analytical processing , OLAP : Online analytical processing applications enable users to analyze multidimensional data interactively from multiple perspectives which consist of three basic analytical operations: . But while eminently capable of performing OLAP, it’s not quite as efficient. consolidation (roll-up).

Database 93

Database Storage Analytics Processing 93

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. But the gain in efficiency would be relatively small.

Games 141

Games Healthcare Processing Systems 141

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. for machine generated emails sent to humans). What’s their secret???

Blockchain 46

Blockchain Hardware Google Speed 46

All Things Distributed

DECEMBER 20, 2017

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. We need mechanisms that enable the mass production of data using software and hardware capabilities. This pattern should be broken.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70