Dynatrace

AUGUST 9, 2023

With up to 70% of security events going uninvestigated, security analysts need all the help they can get. After a security event, many organizations often don’t know for months (or even years) when why or how it happened. But this limited approach causes challenges in today’s hybrid multicloud reality.

Analytics 218

Analytics Metrics Database Storage 218

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. IT leaders know that managing cloud environments through traditional manual monitoring practices will no longer suffice. The low-code/no-code AutomationEngine brings several benefits to customers.

Code 212

Code DevOps Cloud Analytics 212

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. What are business events? This diagram shows a few examples of business events.

Analytics 227

Analytics Retail Storage Monitoring 227

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 189

Processing Monitoring Analytics Games 189

Dynatrace

DECEMBER 21, 2023

Monitoring business processes is one thing organizations can do to help improve the key business processes that enable them to provide great customer experiences. Business process monitoring refers to continuously tracking and analyzing key performance indicators (KPIs) from relevant process milestones.

Processing 213

Processing Monitoring Retail Analytics 213

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. A unified observability approach takes it a step further, enabling teams to monitor and secure their full stack on an AI-powered data platform.

Analytics 181

Analytics Artificial Intelligence Engineering Storage 181

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 214

Analytics Storage Retail Monitoring 214

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 195

Analytics AWS Strategy Infrastructure 195

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Because events in cloud-native environments take place instantaneously, and there is so much data to digest, IT and operations teams often can’t identify problems before customers experience them.

Analytics 130

Analytics Storage Cloud DevOps 130

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 181

Analytics Storage Retail Monitoring 181

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Event severity.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 230

Analytics Social Media Metrics Efficiency 230

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. Digital businesses rely on real-time business analytics data to make agile decisions.

Analytics 188

Analytics Strategy Storage Technology 188

Dynatrace

APRIL 19, 2024

Automate disk resizing operations with Davis AI predictive analytics The Dynatrace Site Reliability Engineering (SRE) team was looking for a way to automatically adjust disk space for cloud volumes on a regular basis to avoid over- or under-provisioning them. Hyperscaler security events are ingested into Grail as BizEvents.

AWS 221

AWS Analytics Cloud Monitoring 221

Dynatrace

FEBRUARY 16, 2023

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. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 186

Analytics Innovation Metrics Database 186

Dynatrace

MARCH 27, 2024

Overseeing SaaS security and monitoring audit logs across multiple SaaS applications is complex, which often involves building and maintaining dedicated integrations for each application that can retrieve audit logs. Let’s see a pie chart with the breakdown of log events per SaaS application.

AWS 246

AWS Analytics Government Monitoring 246

CSS Wizardry

JUNE 30, 2023

Load and DOMContentLoaded are internal browser events—your users have no idea what a Load time even is. I’m willing to bet you still monitor TTFB , even though you know your customers will have no concept of a first byte whatsoever. The DOMContentLoaded event fires once all of your deferred JavaScript has finished running.

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

MARCH 11, 2020

In many cases, events are generated as these workloads go through different phases of their life cycles. For instance, events appear when the scheduler performs actions to bring workloads back to a desired state. For better or worse, every Kubernetes user learns about the CrashLoopBackOff and ImagePullBackOff events.

Metrics 229

Metrics Analytics Monitoring Cloud 229

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. What is AWS observability?

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

MARCH 6, 2024

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

Engineering 241

Engineering Development DevOps Infrastructure 241

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Application observability also helps to improve end-user experiences when combined with Dynatrace Digital Experience monitoring.

Retail 259

Retail Analytics Storage Cloud 259

Dynatrace

AUGUST 12, 2020

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Simplify error analytics.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Monitor and neutralize insider threats from negligent or malicious employees and contractors.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

FEBRUARY 26, 2024

The winning User Flow Analytics app by Andrea Caria of Spindox introduces a visual analysis of user navigation within web, mobile, or custom applications, presented through dynamic Sankey diagrams and funnels. The User Flow Analytics app was created to address real-life business challenges.

Innovation 198

Innovation Analytics Mobile Website 198

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Systems 186

Systems Cloud Analytics DevOps 186

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

Open Source 215

Open Source Analytics Metrics Cloud 215

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. where an error occurred at the code level.

Analytics 221

Analytics Storage Infrastructure Metrics 221

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Enrich database performance KPIs with business analytics. What’s next?

Database 241

Database DevOps Analytics Servers 241

Dynatrace

FEBRUARY 28, 2024

The Visual Resolution Path offers a chronological overview of events detected by Dynatrace across all components linked to the underlying issue. Additionally, align the action’s validation window with the timeframe derived from the recently completed test events. Configure an action for the Site Reliability Guardian in the workflow.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

FEBRUARY 8, 2021

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. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting.

Cloud 260

Cloud Azure Analytics AWS 260

Dynatrace

OCTOBER 23, 2023

Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. Start monitoring Hyper-V Navigate to the Dynatrace Hub and activate the Microsoft Hyper-V Extension. What’s next?

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

NOVEMBER 7, 2023

Furthermore, a centralized Kubernetes management view offers extended centralized monitoring and alerting capabilities, particularly for node failure incidents. Additionally, users benefit from the Dynatrace Davis ® AI engine, which offers proactive monitoring capabilities like real-time tracking and alerting for critical health signals.

Engineering 274

Engineering DevOps Best Practices Infrastructure 274

Dynatrace

OCTOBER 4, 2022

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. Grail needs to support security data as well as business analytics data and use cases. High-performance analytics—no indexing required. Ingest and process with Grail.

Artificial Intelligence 269

Artificial Intelligence Analytics Storage Architecture 269

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Observability brings multicloud environments to heel.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 277

Efficiency Performance Analytics DevOps 277

Dynatrace

AUGUST 28, 2023

How Dynatrace can help Recent platform innovations have made monitoring end-to-end business processes such as order fulfillment easier. Business data must be easy to access without modifying code to reduce the burden on development and maintenance resources. Consider these requirements for effective business observability.

Retail 202

Retail Logistics Innovation Analytics 202