Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. 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.

Analytics 194

Analytics Innovation Metrics Database 194

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 196

Analytics Artificial Intelligence Big Data Open Source 196

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. Now we have performance and errors all covered: Business Analytics. What insights can we gain from usage metrics that we can feed-back to our product management teams? App architecture.

Analytics 137

Analytics Metrics IoT Monitoring 137

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 276

Database Artificial Intelligence Metrics Monitoring 276

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 199

Analytics Software Software Storage 199

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 222

Analytics Storage Retail DevOps 222

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 189

Analytics Storage Retail DevOps 189

DZone

JUNE 11, 2020

It's challenging to troubleshoot issues in a distributed database because the information about the system is scattered in different machines. TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Before version 4.0, Before version 4.0,

Database 246

Database Open Source Analytics Architecture 246

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database. This can be accomplished using Dynatrace extensions.

Database 130

Database Metrics Retail Analytics 130

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. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. Data silos.

Analytics 197

Analytics Strategy Storage Technology 197

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail  is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data. htaccess", "/.ssh",

Analytics 204

Analytics AWS Strategy Infrastructure 204

Dynatrace

NOVEMBER 18, 2021

Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. New to Dynatrace? Start your free trial!

Analytics 231

Analytics Cloud Java Serverless 231

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns. Learn more.

Google 269

Google Innovation Cloud Analytics 269

Dynatrace

DECEMBER 9, 2020

If you’re running SAP, you’re likely already familiar with the HANA relational database management system. HANA maintains all the business and analytics data that your business runs on. Today we’re proud to announce that we’ve extended our SAP monitoring capabilities to support SAP HANA databases.

Infrastructure 208

Infrastructure Database Monitoring Metrics 208

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

MARCH 6, 2024

It also includes various built-in software components for database management, security, and application development. It then collects performance data using existing database services running on your system. Gaining knowledge about IBM i performance can be a challenging and pricey task. Nothing is installed on your IBM i systems.

Monitoring 242

Monitoring Infrastructure Metrics Analytics 242

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). But contextual analytics don’t stop here. “AI

Artificial Intelligence 194

Artificial Intelligence Analytics Efficiency Database 194

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 142

Metrics Open Source Lambda Serverless 142

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. Notebooks and dashboards enable users, including developers, to create data-driven documents for custom analytics.

Java 197

Java Analytics Best Practices Monitoring 197

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 Extensions 2.0

Technology 252

Technology Technology Scalability Availability 252

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. Establish BizDevOps collaboration by sharing business context with IT in real time.

Analytics 140

Analytics Mobile Airlines Monitoring 140

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric. An erroneous change in the database system leads to a subset of the data being categorized incorrectly.

DevOps 200

DevOps Analytics Airlines Metrics 200

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. The sheer number of permutations can break traditional databases.

DevOps 191

DevOps Analytics Storage Metrics 191

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments.

Analytics 229

Analytics Storage Infrastructure Metrics 229

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 189

Infrastructure Metrics Network Monitoring 189

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. “We monitor all services that produce metrics in the top three clouds,” he said.

Cloud 178

Cloud Ecommerce Performance Retail 178

Dynatrace

JANUARY 31, 2024

Removing blind spots proactively prevents security incidents and ensures that performance metrics reflect the true state of the environment. Basic Monitoring Host health includes fundamental host health indicators, such as whether the host is up/down, and other key metrics, including CPU, memory, disk, and network.

Analytics 180

Analytics Infrastructure Monitoring Cloud 180

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.

Analytics 195

Analytics Infrastructure Storage Efficiency 195

DZone

JANUARY 13, 2023

Introduction Traditionally, SQL has been used for relational databases and data warehouses. For this reason, time-series analytics have proved critical for making sense of real-time market data in financial services, sensor data from IoT devices, and application metrics.

IoT 174

IoT Analytics Database Metrics 174

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 211

Cache Azure Infrastructure Monitoring 211

Dynatrace

MAY 16, 2019

Are you applying AI to the unique metrics and KPIs that matter most to the success of your digital business? Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Dynatrace out-of-the-box metrics generally focus on availability, failure rate, and performance.

Metrics 116

Metrics Analytics Programming Monitoring 116

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Dynatrace news.

Technology 225

Technology Technology Metrics Infrastructure 225

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 178

Metrics Database Monitoring Network 178

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 262

Cloud Azure Analytics Open Source 262

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. The latest batch of services cover databases, networks, machine learning and computing. Amazon Database Migration Service. Amazon Quantum Ledger Database (QLDB). AWS IoT Analytics. Available Now. Coming Soon.

AWS 273

AWS Cloud IoT Database 273

Percona

DECEMBER 6, 2023

The PMM Dump performs a logical backup of the performance metrics collected by the PMM Server and imports them into a different PMM Server instance. In order to do it, we need to see performance metrics collected at the time when the issue happens. It will not collect query analytics data by default. bin source=vm. ls *tar.gz

Monitoring 99

Monitoring Metrics Analytics Open Source 99