Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 325

Serverless AWS Lambda Storage 325

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Ingest and process with Grail.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

OCTOBER 4, 2022

In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. This can vastly reduce an organization’s storage costs and improve data efficiency. Eliminates team silos.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 278

DevOps Infrastructure Speed Cloud 278

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162

Tuning Speed Performance Open Source 162

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. First, if organizations want to drive greater innovation and efficiency, they need to shift. Organizations continue to turn to multicloud architecture to deliver better, more secure software faster.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

High Scalability

SEPTEMBER 8, 2018

RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 240

Cloud Media Storage Cache 240

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 278

Monitoring Artificial Intelligence Performance Analytics 278

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Automated issue resolution.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

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 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. Observability starts with the collection, storage, and accessibility of multiple sources.

Analytics 264

Analytics Network Open Source Hardware 264

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 114

Storage Engineering Database Open Source 114

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. 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. What is explainable AI?

Performance 246

Performance DevOps Innovation Artificial Intelligence 246

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. One of the keys to managing cloud costs is ensuring that operations are running efficiently. Digital transformation continues surging forward.

Engineering 264

Engineering DevOps Innovation Storage 264

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

JUNE 1, 2023

As organizations digitally transform, they’re also accelerating the speed of software delivery. This SLO highlights the importance of a smooth and efficient checkout experience. Certain SLOs can help organizations get started on measuring and delivering metrics that matter. or above for the checkout process.

Latency 245

Latency Website Traffic Virtualization 245

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 246

Monitoring Programming Serverless Speed 246

DZone

JUNE 24, 2024

Objectives Modern AI innovations require proper infrastructure, especially concerning data throughput and storage capabilities. While GPUs drive faster results, legacy storage solutions often lag behind, causing inefficient resource utilization and extended times in completing the project.

Systems 130

Systems Software Software Storage 130

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. As you can imagine, this comes with very real storage costs. By providing our tool to multiple sets of users, we are able to leverage our cost more efficiently.

Latency 297

Latency Transportation Engineering Traffic 297

Dynatrace

NOVEMBER 15, 2021

Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. An efficient, automated log monitoring and analytics solution can free teams up to focus on innovation that drives better business outcomes. Together, they provide continuous value to the business.

Analytics 264

Analytics Monitoring Artificial Intelligence DevOps 264

Scalegrid

FEBRUARY 11, 2025

Whether you need a relational database for complex transactions or a NoSQL database for flexible data storage, weve got you covered. These systems are crucial for handling large volumes of data efficiently, enabling businesses and applications to perform complex queries, maintain data integrity, and ensure security.

Scalability 147

Scalability Database Storage IoT 147

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. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. First, if organizations want to drive greater innovation and efficiency, they need to shift. Organizations continue to turn to multicloud architecture to deliver better, more secure software faster.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

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 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

FEBRUARY 12, 2024

Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. An overview of the Dynatrace unified observability and security platform.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

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 Architecture Scalability 130