Dynatrace

OCTOBER 17, 2023

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report.

Monitoring 226

Monitoring Artificial Intelligence Performance Analytics 226

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and analytics have become a particular challenge. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach.

Cloud 177

Cloud Artificial Intelligence Innovation Analytics 177

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and log analytics have become a particular challenge. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Other data types will be available soon). What’s next?

Storage 166

Storage Healthcare Best Practices Speed 166

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

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

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. Mobile app performance is not just about speed and responsiveness but also about battery life. Optimize battery life. Continuous monitoring.

Best Practices 198

Best Practices Mobile Metrics Performance 198

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The primary goal of ITOps is to provide a high-performing, consistent IT environment.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Tools that feature client-side compression can help reduce total data transfer volumes and storage footprints. Enhancing error correction.

Mobile 247

Mobile Website Analytics Cache 247

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 104

Performance Monitoring Traffic Database 104

Dynatrace

OCTOBER 4, 2022

Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. Enter Grail-powered data and analytics.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. This is Davis CoPilot.

Analytics 181

Analytics Artificial Intelligence Engineering Storage 181

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 247

AWS Efficiency Azure Cloud 247

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 186

Analytics Innovation Metrics Database 186

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 268

Artificial Intelligence Analytics Storage Architecture 268

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 221

Analytics Storage Infrastructure Metrics 221

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. This improves query speeds and reduces related costs for all other teams and apps.

Artificial Intelligence 262

Artificial Intelligence Analytics Metrics Storage 262

All Things Distributed

JULY 7, 2011

AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. Amazon Import/Export is an important tool for customers to accelerate moving large amounts of data into the AWS storage systems. Driving Storage Costs Down for AWS Customers. At werner.ly

AWS 96

AWS Cloud Storage Internet 96

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. At werner.ly Syndication.

AWS 112

AWS Cloud Games Latency 112

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 209

AWS Artificial Intelligence Analytics Cloud 209

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. Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Support diverse analytics workloads. Data management.

Artificial Intelligence 209

Artificial Intelligence Storage Analytics Government 209

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

NOVEMBER 2, 2021

This also implies that you don’t have to spend additional time and money on creating a PWA to suit various devices, greatly speeding up time-to-market. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Why is that? Read point 2. More after jump!

Code 74

Code Cache Retail Mobile 74

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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 15, 2023

They need to create new products and maintain existing ones to deliver customer value at speed and scale while managing risk. Additionally, its modern architecture delivers cost-effective storage and compute. As a result, teams benefit from low-cost cloud storage that provides access to all data and doesn’t require data rehydration.

Analytics 130

Analytics Storage Cloud Code 130

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

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JUNE 29, 2018

While the model alone does not provide specific APIs for predictive analytics or machine learning, its architecture provides an organizational structure for hosting application-specific algorithms so that they have immediate access to the context they need for deep introspection. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

While the model alone does not provide specific APIs for predictive analytics or machine learning, its architecture provides an organizational structure for hosting application-specific algorithms so that they have immediate access to the context they need for deep introspection. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 194

DevOps Analytics Airlines Metrics 194

All Things Distributed

APRIL 5, 2012

More recently weve expanded our platform to include additional forms of user interaction observation in support of our real-time analytics – here weve begun to leverage NoSQL technologies like Redis. Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing.

Innovation 146

Innovation AWS Education Network 146

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

Cloud 118

Cloud AWS Automotive Latency 118