Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

Performance 278

Performance Mobile Analytics Innovation 278

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 5, 2023

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. What is a data lakehouse?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. Using buckets to query only the data you need significantly speeds up queries and reduces query costs. Keeping these logs separate decreases the data volume for other troubleshooting logs. This allows you to query data from a specific bucket.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

JANUARY 5, 2022

In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. While the test step, use case, and thread group name context are helpful we also want to speed up the analysis of individual requests that fail. from other test tools or real users).

Testing 246

Testing Open Source Metrics Infrastructure 246

Dynatrace

FEBRUARY 12, 2024

It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks. So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.”

Engineering 246

Engineering Development Infrastructure Cloud 246

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Servers 69

Dynatrace

NOVEMBER 22, 2021

Dynatrace extends contextual analytics and AIOps for open observability. To achieve that strategic advantage, teams turn to AI and AIOps, the discipline of applying AI and advanced analytics to IT operations. The need for speed has never been more urgent in today’s hyper-digital age. 2021 DevOps Report.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

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. In this article, we will explore the process of how to connect MySQL to Power BI, a leading business intelligence tool.

Database 130

Database Azure Efficiency Servers 130

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 243

Metrics Database Monitoring Network 243

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Stateless whenever possible. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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

MAY 28, 2020

Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options. This opens up new analytics use case to e.g: If your apps are deployed in a PaaS Platform, e.g: In my example, I’m going to run my sample node.js test name, test step.

Engineering 270

Engineering Performance Metrics Best Practices 270

Tasktop

JANUARY 5, 2022

This is by no means a unique phenomenon: Any marketing expert could tell you, for example, how Google Analytics can paint a very different picture depending on the selected date range. . Flow Metrics tell a story about the speed, throughput and efficiency of a value stream. Be content with the speed of completed work .

Metrics 98

Metrics Speed Analytics Azure 98

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

Scalegrid

MARCH 14, 2024

It provides significant advantages that include: Offering scalability to support business expansion Speeding up the execution of business plans Stimulating innovation throughout the company Boosting organizational flexibility, enabling quick adaptation to changing market conditions and competitive pressures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 12, 2024

Memory Allocation: Allocating sufficient memory linked directly to the assigned CPU ensures effective utilization resulting in better system speed. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Smashing Magazine

NOVEMBER 15, 2021

Includes dozens of themes and plugins and is built on speed and stability. You can customize it to display information from sources like Google Analytics, GitHub, Feedly, shell command output, and more. Hyper is an Electron-based terminal app for Mac, Windows, or Linux that’s built with web technologies (HTML/CSS/JS). Large preview ).

Development 141

Development Google Open Source Storage 141

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Big Data Analytics Architecture 78

The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. 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.

Blockchain 46

Blockchain Hardware Google Speed 46

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

Smashing Magazine

JUNE 1, 2022

These services use requests to external hosts (not servers you control) to deliver JavaScript framework libraries, custom fonts, advertising content, marketing analytics trackers, and more. The most popular, by far, is the Google Lighthouse report (available in Chrome Developer Tools) and Google’s Page Speed Insights.

Website 138

Website Design Network Testing 138

Tasktop

JUNE 20, 2019

Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Features created in VersionOne synchronize over to another team working in CA Agile Central (Rally).

Development 45

Development DevOps Google Innovation 45

O'Reilly

NOVEMBER 28, 2023

AI isn’t yet at the point where it can write as well as an experienced human, but if your company needs catalog descriptions for hundreds of items, speed may be more important than brilliant prose. Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos.

Open Source 135

Open Source Google Artificial Intelligence Infrastructure 135

Smashing Magazine

AUGUST 25, 2022

How do I account for different network speeds in different environments? This solution is fine when network speeds are fast, but it can be problematic when network speeds are not fast (or fluctuate). And if there is one thing we all know — we cannot control the speed network our customers are using.

Media 124

Media Speed Network Analytics 124

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. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52