Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Our employees listen carefully to our customers and innovate continuously. This combination sets us apart. .

DevOps 232

DevOps Innovation Monitoring Analytics 232

Dynatrace

MAY 24, 2021

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. For more details, see Deploy OneAgent as Lambda extension in Dynatrace Documentation.

Lambda 289

Lambda AWS Serverless Java 289

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Enterprises that fail to adapt to these innovations face extinction. million AI server units annually by 2027, consuming 75.4+

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks.

DevOps 175

DevOps Analytics Best Practices Java 175

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. See the documentation topic Deploy OneAgent as Lambda Extension for more details on getting started.

Lambda 159

Lambda AWS Serverless Infrastructure 159

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. See the documentation topic Deploy OneAgent as Lambda Extension for more details on getting started.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

NOVEMBER 8, 2021

.” In its 2021 Magic Quadrant™ for Application Performance Monitoring, Gartner® defines APM as “Software that enables the observation of application behavior and its infrastructure dependencies, users and business key performance indicators (KPIs) throughout the application’s life cycle. Application performance insights.

Artificial Intelligence 223

Artificial Intelligence Monitoring Infrastructure Cloud 223

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

SEPTEMBER 2, 2022

But that’s difficult when Black Friday traffic brings overwhelming and unpredictable peak loads to retailer websites and exposes the weakest points in a company’s infrastructure, threatening application performance and user experience. When teams plan and test for incidents, they can also document team roles and responsibilities.

Traffic 181

Traffic Strategy Retail Ecommerce 181

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. documentation. Actionable analytics across the?entire

Lambda 198

Lambda Serverless AWS Mobile 198

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. For example, a typical use case involves a web server running an analytics and reporting system.

Artificial Intelligence 176

Artificial Intelligence Innovation Servers Database 176

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. How-to documentation is readily available. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. The challenges can slow down the pace of innovation.

Open Source 77

Open Source Healthcare Social Media Database 77

All Things Distributed

APRIL 5, 2012

Customer Conversations - How Intuit and Edmodo Innovate using Amazon RDS. From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). Whats unique and innovative about your service?

Innovation 146

Innovation AWS Education Network 146

Percona

MARCH 30, 2023

Their work produces higher-quality code and enables faster innovation, while maintaining high security standards. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 73

Open Source Database Storage Scalability 73

Percona

JULY 17, 2023

1 among non-relational/document-based systems ( DB-Engines, July 2023 ). Instead of the table-based structure of relational databases, MongoDB stores data in documents and collections, a design for handling large amounts of unstructured data and for real-time web applications. It ranks No. MongoDB Enterprise is commercial.

Open Source 75

Open Source Database Scalability Software 75

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. There is hardly any innovation from traditional CMS vendors. Pure CMS licensing cost can be anywhere between 50,000 - 500,000 USD a year.

Systems 63

Systems Cache Website Network 63

O'Reilly Software

OCTOBER 23, 2018

They are consumed by writing documents, and those documents are subsequently ignored, leading them to give up. In order to do so, she must write a document that specifies how these will be realized. This document, the architecture definition , serves as the technologist's answer to the blueprint. Determine trade-offs.

Strategy 100

Strategy Architecture Technology Technology 100

High Scalability

NOVEMBER 25, 2019

Document store. Infrastructure Optimization. Egnyte Connect as the content collaboration and data management platform is used by thousands of customers as the single Secure Content Platform for all of their document management needs. What Infrastructure Do You Use? Do you implement web analytics? Video Transcoding.

Architecture 52

Architecture Cache Azure Storage 52

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

The Agile Manager

MAY 7, 2010

So do documents and spreadsheets. This document references this spreadsheet, and both were discussed in this meeting on this date with these people. A contract from 2005 between one firm and another is a binding legal document in the context of that relationship. We have data everywhere. E-mails contain data. Google contacts?

Storage 40

Storage Internet Internet Mobile 40

All Things Distributed

JANUARY 18, 2012

These services also require the ability to scale infrastructure incrementally to accommodate growth in request rates or dataset sizes. After the successful launch of the first Dynamo system, we documented our experiences in a paper so others could benefit from them. Another important requirement for Dynamo was predictability.

Scalability 167

Scalability Database Ecommerce Latency 167