Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Software development. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

Artificial Intelligence 217

Artificial Intelligence Healthcare Retail Government 217

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 246

Retail Storage Best Practices Architecture 246

The Netflix TechBlog

OCTOBER 28, 2021

Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team. Before joining Netflix, she worked in the advertising and e-commerce industries as a backend software engineer. Pallavi received her master’s degree from Carnegie Mellon.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 257

AWS Efficiency Azure Cloud 257

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Real-user monitoring (RUM). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 213

Monitoring Social Media IoT Metrics 213

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Check out our Power Demo: Log Analytics with Dynatrace. What is AWS Transit Gateway?

AWS 226

AWS Transportation Network Traffic 226

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 135

Analytics Cloud Healthcare Retail 135

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 200

Analytics Software Software Storage 200

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Machine Learning – Specialty: Data scientists or software developers who already have some exposure to machine learning in AWS may find this certification worthwhile. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS 218

AWS Best Practices Analytics Cloud 218

Dynatrace

OCTOBER 14, 2022

This way, it‘s possible to flexibly select what confidential or sensitive information (for example, PII) is hashed or completely removed before it leaves the enterprise premises. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. Try it out yourself.

Storage 237

Storage Government Network Infrastructure 237

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Replay software also captures web assets such as CSS so it can create accurate recordings even if your website changes. Improved analytic context. In others, patterns emerge.

Mobile 254

Mobile Website Analytics Cache 254

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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 Analytics Big Data Architecture 78

Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. If a user encounters an error page on a website, for example, it’s vital to trace the behavior to the original source of failure.

Best Practices 220

Best Practices AWS Monitoring Serverless 220

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 201

Analytics Processing Transportation Storage 201

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This is not an exhaustive list but an example of what we can watch for.

Performance 105

Performance Monitoring Traffic Database 105

Dynatrace

NOVEMBER 17, 2020

With these release candidate APIs available, instrumentation for web frameworks, storage clients, and much more can be built. We sat together with Armin Ruech and Daniel Dyla, software engineers at Dynatrace and leaders within the OpenTelemetry community, to hear about their involvement with the second most active CNCF project.

Open Source 153

Open Source Software Engineering Government Java 153

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively.

Analytics 130

Analytics Storage Cloud DevOps 130

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant.

Technology 210

Technology Technology Analytics Storage 210

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. One indicator of a useful software architecture is that it provides unexpected benefits.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. One indicator of a useful software architecture is that it provides unexpected benefits.

Software Architecture 40

Software Architecture Architecture Software Software 40

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.

Monitoring 99

Monitoring Scalability Cache Database 99

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. At that time, the team was made up of software engineers. Site reliability engineers bridge the gap between operations and software developers. What Does a Site Reliability Engineer Do?

Engineering 67

Engineering DevOps Monitoring Google 67

Percona

JUNE 4, 2023

Due to concerns in the open source software community about the future of MySQL after the acquisition, MariaDB was created in 2009 by Michael Widenius (one of the original creators of MySQL), who named the new software after his daughter Maria. InnoDB, the default engine, is known for its excellent transactional capabilities.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 195

Analytics Innovation Metrics Database 195

Percona

APRIL 14, 2023

Considering the example from above, even if that bit of data being requested by the users is not found in memory and needs to be retrieved from disk, that slow operation will have to be performed only once for that batch of requests. Its main data caching structure for the standard InnoDB storage engine is called Buffer Pool.

Cache 91

Cache Efficiency Database Monitoring 91

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Teams have introduced workarounds to reduce storage costs. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 243

Analytics Artificial Intelligence Storage Serverless 243

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52