Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 177

DevOps Analytics Storage Metrics 177

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 180

Systems Cloud Analytics DevOps 180

InfoQ

MAY 15, 2023

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 110

Storage Systems Scalability Cloud 110

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

DZone

FEBRUARY 10, 2023

In today's data-driven era, it's critical to design data platforms to help business to foster innovation and compete in the market. A modern data platform is the set of technologies, configuration, and implementation details that allows data to be stored and moved across the company systems to satisfy business needs.

Architecture 130

Architecture Innovation Scalability Technology 130

DZone

JANUARY 24, 2024

Cloud computing platforms have fundamentally altered how organizations access and manage data. These storage alternatives have been designed to meet a range of requirements, including performance, scalability, durability, and price. Cloud computing platforms have transformed the way businesses handle and access data.

Storage 266

Storage Cloud Scalability Design 266

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Percona

OCTOBER 17, 2023

This blog post discusses using the CLONE INSTANCE command with the safety option DATA DIRECTORY when you do not have enough disk space to store two datasets. However, when you clone a replica that already has a huge dataset, you may not have enough space for two datasets: one from the source server and data present on the replica.

Open Source 99

Open Source Servers Database Strategy 99

Dynatrace

MARCH 29, 2024

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance.

Google 254

Google Innovation Cloud Analytics 254

DZone

FEBRUARY 29, 2024

In the vibrant world of microservices and event-driven architectures, messaging queues have emerged as a critical component, enabling asynchronous communication, decoupling systems, and unlocking scalability. However, with a vibrant landscape of options, choosing the optimal queue can feel like navigating a complex maze.

Scalability 257

Scalability Architecture Systems Processing 257

DZone

FEBRUARY 29, 2024

The volume of data generated and transmitted these days is growing at a rapid pace. Traditional methods often fall short in managing this kind of volume and scale, leading to bottlenecks impacting the performance of the system. A smooth flow of messages in an event-driven application is the key to its performance and efficiency.

Efficiency 258

Efficiency AWS Scalability Architecture 258

DZone

APRIL 22, 2020

Traditionally we use unit tests and integration tests that guarantee a system is production-ready. However, these tests can’t cover everything as clusters scale, complexities mount, and data volumes increase by petabyte levels. This is how Chaos Engineering began.

Systems 216

Systems Infrastructure Engineering Testing 216

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

DZone

DECEMBER 4, 2023

In the dynamic landscape of digital product development, APIs (Application Programming Interfaces) have emerged as indispensable tools that not only connect systems but also play a pivotal role in shaping product roadmaps.

Innovation 274

Innovation Strategy Programming Scalability 274

DZone

SEPTEMBER 25, 2023

This is an article from DZone's 2023 Database Systems Trend Report. At the heart of this digital transformation lies the critical role of cloud databases — the backbone of modern data management. At the heart of this digital transformation lies the critical role of cloud databases — the backbone of modern data management.

Education 256

Education Innovation Scalability Cloud 256

DZone

MARCH 14, 2023

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. It combines principles of software engineering, operations, and quality assurance to ensure that systems meet performance goals and business objectives.

Engineering 246

Engineering Software Engineering Scalability Efficiency 246

Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. The extension runs remotely from your Dynatrace ActiveGates and connects to your IBM i system.

Monitoring 227

Monitoring Infrastructure Metrics Analytics 227

DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 195

IoT Artificial Intelligence Latency Internet 195

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 288

Storage Cache Metrics Database 288

DZone

FEBRUARY 12, 2024

Optimizing complex MySQL queries is crucial when dealing with large datasets, such as fetching data from a database containing one million records or more. Poorly optimized queries can lead to slow response times and increased load on the database server, negatively impacting user experience and system performance.

Performance 161

Performance Database Strategy Efficiency 161

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Causal AI use cases can complement other types of AI.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 183

DevOps Engineering Artificial Intelligence Infrastructure 183

Scalegrid

NOVEMBER 29, 2023

The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

High Scalability

NOVEMBER 2, 2018

” David Rosenthal : The big successes in the field haven't come from consensus building around a roadmap, they have come from idiosyncratic individuals such as Brewster Kahle, Roberto di Cosmo and Jason Scott identifying a need and building a system to address it no matter what "the community" thinks.

Internet 126

Internet Internet Scalability Azure 126

Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

Government 155

Government Network Artificial Intelligence Cloud 155

High Scalability

SEPTEMBER 21, 2018

Aria Bracci : Using a previously established, peer-reviewed technique, the team conducted more than half a million data traffic tests across 161 countries. Too often, those who already hold power, those who are least able to recognize the flaws in our current systems, are the ones who decide our technological future. More quotes.

Internet 126

Internet Internet Scalability Traffic 126

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic 339

Traffic Latency Tuning Systems 339

High Scalability

OCTOBER 19, 2018

cpeterso : Your quote reminds me of cybernetics' Law of Requisite Variety: "If a system is to be stable, the number of states of its control mechanism must be greater than or equal to the number of states in the system being controlled.". UW's massive computer-science school is now named for him. ” -Larry Tesler.

Internet 123

Internet Internet Scalability Lambda 123

Dynatrace

JULY 9, 2019

This month we’re presenting ZigiWave – the company behind ZigiOps, the software that allows enterprises to share relevant data seamlessly between their management systems. Data management is becoming hard, as IT complexity grows. Otherwise, the systems based on these platforms may fail at scale. We’ll keep this simple.”.

DevOps 159

DevOps Scalability Systems Technology 159

High Scalability

JUNE 15, 2020

This is a guest post by Eunice Do , Data Engineer at TripleLift , a technology company leading the next generation of programmatic advertising. What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Why did you decide to build this system?

Processing 206

Processing Data Engineering Engineering Efficiency 206

The Morning Paper

DECEMBER 5, 2019

Benchmarking spreadsheet systems Rahman et al., When spreadsheets were originally conceived, data and formula were input by hand and so everything operated at human scale. Increasingly we’re dealing with larger and larger datasets — for example, data imported via csv files — and spreadsheets are creaking.

Benchmarking 56

Benchmarking Systems Google Scalability 56

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. System Components. Data Models.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. Optimize resource allocation, identify bottlenecks, and improve overall system performance.

Efficiency 206

Efficiency Virtualization Hardware Performance 206

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 model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency.

Cloud 201

Cloud Serverless Internet Internet 201

Scalegrid

MARCH 22, 2024

This covers everything from tech specs and what you expect from the service to security, how you’ll handle data, and how services will be managed. Hosting either on-premises or with third-party data center providers and deciding whether management services should be conducted internally or outsourced.

Strategy 130

Strategy Cloud Government Innovation 130

DZone

SEPTEMBER 14, 2023

This data warehousing use case is about scale. Such a gigantic log analysis system is part of their cybersecurity management. For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records.

Analytics 124

Analytics Storage Architecture Scalability 124