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. For additional technical insights, watch the Business Events Performance Clinic. What’s next?

Analytics 201

Analytics Metrics DevOps Storage 201

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

SEPTEMBER 15, 2023

In the 2023 Magic Quadrant for Application Performance Monitoring (APM) and Observability, Gartner has named Dynatrace a Leader and positioned it highest for Ability to Execute and furthest for Completeness of Vision. Gartner disclaimer 1 Gartner Research Methodologies, “Critical Capabilities”, 11 September 2023.

Monitoring 245

Monitoring Performance Analytics DevOps 245

Dynatrace

SEPTEMBER 13, 2023

Many companies rely on Citrix as a critical component of their infrastructure that demands thorough observability and integrated analytics across the entire application landscape. Automated AI-powered analytics are necessary to match the scale of monitoring these enterprises require.

Monitoring 220

Monitoring Healthcare Infrastructure Metrics 220

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 276

Efficiency Performance Analytics DevOps 276

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Here’s the approach they chose.

Mobile 211

Mobile Analytics Best Practices Software Engineering 211

Dynatrace

APRIL 5, 2024

But when navigating this process, one of the biggest challenges facing enterprises is having too many tools. According to Dynatrace research , on average, companies have 10 different monitoring tools. For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps.

Cloud 235

Cloud Analytics Monitoring Scalability 235

Dynatrace

APRIL 10, 2023

Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

Cloud 171

Cloud Ecommerce Performance Retail 171

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 217

Cloud Lambda AWS Analytics 217

Dynatrace

AUGUST 14, 2020

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Dynatrace news.

Analytics 264

Analytics Cloud Retail Monitoring 264

Dynatrace

JANUARY 23, 2024

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

APRIL 26, 2022

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing.

Google 261

Google Innovation Cloud Analytics 261

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. However, with Dynatrace Query Language (DQL) we can perform much more complex queries on our OCSF logs.

AWS 245

AWS Analytics Government Monitoring 245

Dynatrace

AUGUST 17, 2023

Without adequate flexibility in the subscription model, your organization might fail to benefit from capabilities that could transform your observability and security processes. While if limits are set too high, you might pay for more monitoring than you need and exceed your budget. This allows you to plan and make changes accordingly.

Monitoring 213

Monitoring Tuning Infrastructure Availability 213

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

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 187

Software Software Analytics Big Data 187

Percona

DECEMBER 6, 2023

In this post, I will present a new Percona tool: Percona Monitoring and Management (PMM) Dump. 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 Percona Support , we help our customers to resolve performance issues.

Monitoring 102

Monitoring Metrics Analytics Open Source 102

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 236

Performance Analytics Mobile Innovation 236

DZone

AUGUST 23, 2023

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions.

IoT 241

IoT Energy Open Source Analytics 241

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Instead, the metric is related to the monitored environment as a whole. Choose your monitoring strategy (i.e.,

Metrics 245

Metrics Analytics Storage Monitoring 245

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. It provides accurate real-time insights to ensure operational integrity and optimal performance to meet an organization’s service-level objectives (SLOs).

Infrastructure 181

Infrastructure Metrics Network Monitoring 181

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. The same API is also available for Log Monitoring Classic for Dynatrace Managed deployments (via an Environment ActiveGate).

Open Source 215

Open Source Analytics Metrics Cloud 215

Dynatrace

SEPTEMBER 8, 2022

This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats.

Systems 185

Systems Cloud Analytics DevOps 185

Percona

JANUARY 3, 2024

A couple of weeks ago, we announced the first GA release of the PMM Dump : a new support tool that dumps Percona Monitoring and Management (PMM) metrics and Query Analytics (QAN) data to transfer to the expert engineer for review and performance suggestions. Download Percona Monitoring and Management Today

Monitoring 95

Monitoring Open Source Database Servers 95

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. Analytics without boundaries. Example business events from anywhere.

Analytics 227

Analytics Retail Storage Monitoring 227

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 108

Performance Monitoring Traffic Database 108

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. Shifting left is an approach that includes software quality, performance, and security testing as a part of the SDLC.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Improving data quality is a strategic process that involves all organizational members who create and use data. Another common impediment is manual data tagging and handling, an error-prone process that teams should minimize.

Government 200

Government Analytics Benchmarking Storage 200

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. The key challenges include: Business data is often difficult to access, resulting in fragile data pipelines.

Database 226

Database Metrics Retail Analytics 226

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 251

Processing Monitoring Analytics C++ 251

Dynatrace

FEBRUARY 16, 2023

And it is making it more and more difficult for all of us to manage that wealth of data,” said Rick McConnell, CEO of Dynatrace, at the annual Perform conference in Las Vegas. “… We need automation and observability to drive and address that issue.” You have to get automation and analytical capabilities.”

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

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. All these steps and stages slow down processes, are error-prone, and introduce additional security risks.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 204

Cache Azure Infrastructure Monitoring 204