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 179

Analytics Innovation Metrics Database 179

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 184

Analytics Software Software Storage 184

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 207

Analytics Storage Retail Monitoring 207

Dynatrace

AUGUST 9, 2023

Not only that, teams struggle to correlate events and alerts from a wide range of security tools, need to put them into context, and infer their risk for the business. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 188

Analytics AWS Strategy Infrastructure 188

Dynatrace

MARCH 29, 2024

This year, Google’s event will take place from April 9 to 11 in Las Vegas. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Learn more.

Google 254

Google Innovation Cloud Analytics 254

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 175

Analytics Storage Retail Monitoring 175

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 182

Analytics Strategy Storage Technology 182

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 192

Infrastructure Database Monitoring Metrics 192

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). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 179

Artificial Intelligence Analytics Efficiency Database 179

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 227

Monitoring Infrastructure Metrics Analytics 227

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 139

Metrics Open Source Lambda Serverless 139

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 213

Analytics Storage Infrastructure Metrics 213

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 182

Java Analytics Best Practices Monitoring 182

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 189

DevOps Analytics Airlines Metrics 189

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 175

Infrastructure Metrics Network Monitoring 175

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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 180

Analytics Infrastructure Storage Efficiency 180

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 256

Cloud Azure Analytics AWS 256

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case.

Media 237

Media Traffic Processing Design 237

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 199

Cache Azure Infrastructure Monitoring 199

Jos

MARCH 13, 2020

Web Performance is important for user experience and business metrics. Look, there are many case studies proving a correlation between loading time and business metrics!” ?-?I Plotting Business Metrics vs Performance Metrics Think about what you are trying to drive on your existing site. I would repeat over and over.

Performance 204

Performance Google Mobile Analytics 204

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 166

Metrics Monitoring Database Network 166

Dynatrace

FEBRUARY 12, 2024

When releasing into production, Gardner said it’s important to think beyond performance metrics. And that’s where lifecycle events come in. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks.

Engineering 175

Engineering Development Infrastructure Cloud 175

Dynatrace

APRIL 21, 2022

You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The default values cover a large range of different cluster sizes; you can modify them according to your needs, based on the ActiveGate self-monitoring metrics.

Azure 209

Azure Metrics AWS Monitoring 209

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. Removed seven-day preview from create/edit custom event for alerting pages. Settings > Anomaly detection > Database services. New analytics view for message queues.

Lambda 186

Lambda Azure Metrics Monitoring 186

Dynatrace

MAY 27, 2022

In the event of an outage or slowdown, Dynatrace generates a ticket in ServiceNow, which manages the workflow. For example, a typical use case involves a web server running an analytics and reporting system. It turns out a colleague has been adding new records to the database without archiving old ones.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Jos

MARCH 13, 2020

Web Performance is important for user experience and business metrics. Look, there are many case studies proving a correlation between loading time and business metrics!” ?-?I Plotting Business Metrics vs Performance Metrics Think about what you are trying to drive on your existing site. I would repeat over and over.

Performance 130

Performance Google Mobile Analytics 130

Dynatrace

APRIL 1, 2021

It includes metrics, dashboards, alerts, events, logs, and cross-environment traces. Dynatrace automatically selected the six most important metrics: CPU and memory percentage, disk and HTTP queue length, and data in/out. Teams need more than just performance metrics,” says Franczak.

Azure 168

Azure AWS DevOps Cloud 168

Dynatrace

SEPTEMBER 29, 2021

An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Event logs for ad-hoc analysis and auditing. Kubernetes provides some very basic monitoring capabilities, like event logs and CPU loads for example. Observability.

Open Source 294

Open Source Traffic DevOps Cloud 294

High Scalability

FEBRUARY 19, 2019

Fun and Informative Events. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Advertise your event here! Apply here.

Software 125

Software Software Analytics Infrastructure 125

High Scalability

MARCH 19, 2019

Fun and Informative Events. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Advertise your event here! Apply here.

Software 122

Software Software Analytics Infrastructure 122

High Scalability

JUNE 19, 2018

Fun and Informative Events. Advertise your event here! Datadog is a cloud-scale monitoring platform that combines infrastructure metrics, distributed traces, and logs all in one place. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Make your job search O (1), not O ( n ).

Metrics 125

Metrics Software Engineering Engineering Infrastructure 125

High Scalability

MARCH 5, 2019

Fun and Informative Events. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Advertise your event here! Apply here.

Software 116

Software Software Analytics Infrastructure 116

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

High Scalability

JANUARY 8, 2019

Fun and Informative Events. Advertise your event here! InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Apply here.

Java 137

Java Metrics Software Engineering DevOps 137

Dynatrace

MAY 7, 2020

Actionable insights with our Adobe Analytics integration and new web properties (referrer, UTM…). Metric and configuration storage database was updated to Cassandra 3.0.20 New Cluster events and email notifications are created when the metrics storage exceeds the 2TiB threshold. Other changes.

Storage 103

Storage Analytics Metrics Mobile 103