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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

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. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 264

Efficiency Performance Analytics DevOps 264

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can now install OneAgent on Linux with s390 architecture.

Operating System 193

Operating System Energy Infrastructure Architecture 193

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

JUNE 9, 2023

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. From a technical perspective, however, cloud-based analytics can be challenging. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 174

DevOps Analytics Storage Metrics 174

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution.

Analytics 142

Analytics Innovation Infrastructure Scalability 142

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. See how to use Dynatrace in your cloud migration strategy. What is predictive AI? What is AIOps? What is application modernization?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

FEBRUARY 16, 2023

And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation. Observability industry themes to watch Perhaps the most significant industry trend is the shift from traditional, on-premises environments to multicloud or cloud-native architectures.

Analytics 163

Analytics Innovation Cloud Scalability 163

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

AUGUST 25, 2023

The team can also focus on developing new cloud-native apps that provide the scalability necessary to deliver reliable services, especially during times of crisis when families need HHS the most. Dynatrace provides analytics and automation for unified observability and security.

Government 192

Government Infrastructure Programming Cloud 192

Dynatrace

JANUARY 22, 2024

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption.

Artificial Intelligence 197

Artificial Intelligence Healthcare Retail Government 197

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

DECEMBER 16, 2022

A growth strategy involves identifying core focus areas in which an organization excels and where it outperforms others. AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. Automation at scale.

Innovation 185

Innovation Software Software Cloud 185

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. VLDB’19. are divided. Each data source being queried over can add hundreds of billions of new rows every day.

Analytics 75

Analytics Latency Cache Google 75

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. Vendors ScaleGrid provides the flexibility to select a suitable database architecture, minimizing worries of vendor lock-in. You are both captain and crew.

Database 130

Database Cloud Hardware Storage 130

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 170

Artificial Intelligence DevOps Performance Games 170

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

JANUARY 23, 2024

Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 171

Engineering Tuning Latency Open Source 171

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies. Dynatrace news. appeared first on Dynatrace blog.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Actionable analytics across the?entire AI-powered answers, provided by?Dynatrace Dynatrace Davis AI. entire stack,?including other services,?regardless

Lambda 198

Lambda Serverless AWS Mobile 198

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

DECEMBER 8, 2020

Research by the Enterprise Strategy Group in 2020 shows 60% of reported breached production applications in the past 12 months involved a known and unpatched vulnerability. It inherits the automation, AI, scalability, and enterprise-grade robustness of the Dynatrace platform. Continuous visibility throughout the DevSecOps lifecycle.

Cloud 280

Cloud Open Source Internet Internet 280

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Maestro is highly scalable and extensible to support existing and new use cases and offers enhanced usability to end users. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 75

Performance Cache Traffic Metrics 75

Edge Perspectives

JANUARY 21, 2019

Institutional transformation For those of you familiar with our work on the Big Shift , we’ve developed a perspective that all our institutions are going to need to go through a fundamental transformation from a scalable efficiency model to a scalable learning model. Diving deeper into learning So, what does scalable learning imply?

Innovation 104

Innovation Scalability Efficiency Mobile 104

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. Pipeline is infinitely scalable Given the elasticity offered by public clouds, one would think that data pipelines are infinitely scalable which is entirely misleading.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

AUGUST 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

AWS 75

AWS Database Storage Scalability 75

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Highly Scalable

AUGUST 20, 2013

Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases. This strategy is applicable for joining of a large relation with a small relation or two small relations.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance. Planning, planning, planning.

Performance 104

Performance Cache Metrics Network 104