Dynatrace

NOVEMBER 18, 2024

The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale. Through Azure Native Dynatrace Service, customers can seamlessly adopt these technologies to modernize and enhance their cloud operations.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

MARCH 5, 2025

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. Storage calculations assume that one terabyte consumes 1.2 Today, Carbon Impact has a new name: Cost & Carbon Optimization.

Energy 223

Energy Analytics Traffic Cloud 223

DZone

FEBRUARY 1, 2023

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2.

Azure 250

Azure Storage Big Data Analytics 250

Dynatrace

AUGUST 20, 2024

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 285

Analytics Latency Processing Systems 285

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245

Analytics Storage Retail DevOps 245

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 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Organizations can uncover critical insights about customers, track the health of complex systems, or view sales trends. High storage costs. Data silos.

Analytics 246

Analytics Strategy Storage Technology 246

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Cloud 260

Cloud Systems Analytics DevOps 260

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Introduction to Message Brokers Message brokers enable applications, services, and systems to communicate by acting as intermediaries between senders and receivers.

Latency 147

Latency Analytics Architecture Storage 147

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 4, 2022

Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. The next frontier: Data and analytics-centric software intelligence. Don’t reinvent the wheel.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems. But why stop there?

Games 165

Games Analytics Innovation Metrics 165

Dynatrace

APRIL 4, 2025

Journald provides unified structured logging for systems, services, and applications, eliminating the need for custom parsing for severity or details. For forensic log analytics use cases, the Security Investigator app benefits from the scalability and analytics power of Dynatrace Grail.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 246

Analytics Metrics DevOps Storage 246

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

The Netflix TechBlog

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Tuning 166

Tuning Latency Efficiency Storage 166

DZone

APRIL 11, 2023

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246

Azure Analytics Storage Cloud 246

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 245

Analytics Artificial Intelligence Engineering Technology 245

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

FEBRUARY 24, 2025

Sometimes overlooked is a fourth category we might call long-tail processes; these are the ad hoc or custom workflows that develop in response to gaps between systems, applications, departments, or workflows. Regardless of their role, every business process is designed to improve business outcomes.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

APRIL 16, 2025

Use cases Identifying misconfigurations: Continuously scanning cloud environments to detect misconfigurations (such as open network ports, missing security patches, and exposed storage buckets) to help maintain a secure, stable infrastructure. Runtime threat detection : Uses behavioral analytics to identify attacks in real time.

Serverless 219

Serverless Azure Cloud Infrastructure 219

Dynatrace

OCTOBER 7, 2020

This gives you all the benefits of a metric storage system, including exploring and charting metrics, building dashboards, and alerting on anomalies. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

OCTOBER 4, 2022

Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways. 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 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Enable the storage types, select Add property. Identifiers of push notifications.

Analytics 208

Analytics Mobile Airlines Monitoring 208

Dynatrace

SEPTEMBER 5, 2024

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 290

Innovation AWS Analytics Storage 290

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 290

Artificial Intelligence Analytics Storage Architecture 290

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. This is inefficient and creates avoidable risks.

Technology 275

Technology Technology Analytics Storage 275

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Traces help find the flow of a request through a distributed system. Further reading about Business Analytics : . Conclusion.

Analytics 305

Analytics Infrastructure AWS Operating System 305

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. Fetching User Feed.

Design 334

Design Media Storage Logistics 334

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 279

Artificial Intelligence DevOps Analytics Engineering 279

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. Fragmented and siloed data storage can create inconsistencies and redundancies. Timeliness.

Government 263

Government Analytics Benchmarking Storage 263

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 246

DevOps Analytics Storage Metrics 246

The Netflix TechBlog

SEPTEMBER 18, 2024

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. The KV data can be visualized at a high level, as shown in the diagram below, where three records are shown.

Latency 260

Latency Storage Cache Servers 260

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Scalegrid

JANUARY 20, 2020

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. Here are a few critical ways in which it differs from replication: You can control how frequently the destination system syncs from source – once a week, once a day, or even less frequently.

Analytics 185

Analytics Database Storage Systems 185