DZone

MARCH 8, 2024

However, the 2024 State of Observability report from Dynatrace reveals that the explosion of data generated by these complex ecosystems is pushing traditional monitoring and analytics approaches to their limits.

Analytics 325

Analytics Innovation DevOps Architecture 325

Dynatrace

JANUARY 12, 2022

To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. Seamless observability of messaging systems is critical for DevOps teams. As a result, DevOps teams usually spend a significant amount of time troubleshooting anomalies, resulting in high MTTR and SLO violations.

Analytics 192

Analytics Systems DevOps Healthcare 192

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Development and DevOps. Indeed, IT operations, security, and DevOps teams feel the strain of ever-growing cloud environments and the increasing amounts and types of data they generate.

Analytics 130

Analytics Storage Cloud DevOps 130

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 184

Cloud Lambda AWS Analytics 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 186

Analytics Storage Retail Monitoring 186

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

Monitoring 206

Monitoring Software Software DevOps 206

Dynatrace

MAY 27, 2022

In April 2022, the Tech Transforms podcast explored application monitoring, women in tech, and federal news through our conversations with the following top influencers in government technology: Bill James – President of Federal Business LLC and FedSmarts LLC. Episode 29 – Monitor applications with empathy with Bill James.

Monitoring 206

Monitoring Government Analytics Education 206

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Every journey matters, and we have to deliver on every single transaction.”.

DevOps 218

DevOps Metrics Virtualization Strategy 218

Dynatrace

FEBRUARY 9, 2021

When it comes to mobile monitoring, everyone has their own point of view… Mobile is not a single technology: it involves different development teams handling Android and iOS apps, performance engineering teams, cloud operations, and marketing. How do I connect the dots between mobile analytics and performance monitoring?

Analytics 211

Analytics Mobile Performance Monitoring 211

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. 5), DevOps/AppDev (4.08/5), 5), SRE (Site Reliability Engineering)/Platform Operations (4.08/5), 5) Use Cases.

Monitoring 250

Monitoring Performance Analytics DevOps 250

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 245

Engineering Development DevOps Infrastructure 245

Dynatrace

FEBRUARY 25, 2020

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 209

Analytics Metrics Best Practices Servers 209

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Dynatrace’s Real User Monitoring (RUM) offering provides observability to every end-user that uses your mobile or web applications.

DevOps 210

DevOps Social Media Mobile Metrics 210

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 191

Analytics Innovation Metrics Database 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 281

Efficiency Performance Analytics DevOps 281

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 192

Software Software Analytics Big Data 192

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” All important health signals are highlighted.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring. Ways to monitor APIs.

Monitoring 182

Monitoring Latency Metrics Availability 182

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. This not only underscores the universal significance of data, it also hints at its pivotal role within DevOps.

DevOps 197

DevOps Analytics Airlines Metrics 197

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Every journey matters, and we have to deliver on every single transaction.”.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Dynatrace

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. Log management brings together log monitoring and log analysis.

Systems 189

Systems Cloud Analytics DevOps 189

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.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

MAY 4, 2021

AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need.

Infrastructure 186

Infrastructure Monitoring Artificial Intelligence Cloud 186

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Requirements to achieve multicloud observability and monitoring.

Monitoring 197

Monitoring Artificial Intelligence DevOps Serverless 197

Dynatrace

APRIL 6, 2022

Comprehensive observability is also essential for digital experience monitoring (DEM). In response, many organizations add more monitoring tools , which adds to cloud complexity and slows down timely responses to issues. DevOps teams can also benefit from full-stack observability. Why full-stack observability matters.

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

NOVEMBER 22, 2021

As organizations move workloads and software development to multicloud environments to operate more efficiently and flexibly, traditional monitoring tools often fall short. Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. Learn more here.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

JANUARY 23, 2024

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. The platform aims to help DevOps teams optimize the allocation of compute resources across all containerized workloads in deployment. At the same time, it also introduces a large amount of complexity. Networking.

Open Source 197

Open Source Storage Analytics Innovation 197

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. The advantage of an index-free system in log analytics and log management.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

DECEMBER 15, 2022

The roles and responsibilities of ITOps team members include the following: A system administrator configures servers, installs applications, monitors the health of the system, and fixes and upgrades hardware. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Functionality. ITOps vs. AIOps.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

APRIL 11, 2023

Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. Teams can also identify issues for users through digital experience monitoring.

Software 201

Software Software Artificial Intelligence DevOps 201

Dynatrace

JULY 10, 2023

Dynatrace also named a Gartner Customers’ Choice Customers also named Dynatrace a Customers’ Choice in the latest Gartner® Peer Insights™ Voice of the Customer: Application Performance Monitoring report, from November 2022. Director of infrastructure, software sector “ Strong technology and stronger people. and/or its affiliates in the U.S.

Monitoring 225

Monitoring Retail Performance Government 225

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. In the next blog post, we’ll discuss the integration of security modules into the DevOps process with the aim of achieving DevSecOps.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

FEBRUARY 15, 2023

IT leaders know that managing cloud environments through traditional manual monitoring practices will no longer suffice. Development teams need automated workflows so they’re not stuck manually monitoring all stages of the software development lifecycle in their cloud environments.

Code 217

Code DevOps Cloud Analytics 217