Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. What is log analytics?

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

FEBRUARY 15, 2023

This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 217

DevOps Traffic Efficiency Servers 217

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 203

Analytics Mobile Performance Monitoring 203

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 178

Analytics Storage Retail Monitoring 178

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. 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.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.

Engineering 179

Engineering Development Infrastructure Cloud 179

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 214

Cloud Lambda AWS Analytics 214

Dynatrace

MARCH 21, 2024

Dynatrace observability, security, and data analytics capabilities empower users to derive greater insights and benefits from their monitoring data, ensuring they stay ahead in their mobile monitoring environments while offering similar feature parity to Visual Studio.

Mobile 174

Mobile Monitoring Analytics IoT 174

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). Introduction Objective Driven Development (ODD) for some Business SLOs. Dynatrace news. Mobile Crashes.

DevOps 201

DevOps Social Media Mobile Metrics 201

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 184

Software Software Analytics Big Data 184

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

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), As a result, organizations lack the needed runtime context for prioritization.

Monitoring 242

Monitoring Performance Analytics DevOps 242

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

JANUARY 19, 2022

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. At our virtual conference, Dynatrace Perform 2022 , the theme is “Empowering the game changers.”. Empowering the game changers at Dynatrace Perform 2022. Dynatrace news.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

Dynatrace

FEBRUARY 18, 2020

Traditionally, it’s critical for Dev and Ops teams to be able to quickly discover and remediate application performance and customer-facing issues. On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience.

Analytics 193

Analytics Retail Metrics Mobile 193

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. 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.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

SEPTEMBER 8, 2022

This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

APRIL 6, 2022

Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure. DevOps teams can also benefit from full-stack observability. How full-stack observability enhances IT and DevOps. See observability in action!

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

MAY 17, 2023

With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 256

Innovation Software Software Artificial Intelligence 256

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

FEBRUARY 15, 2023

To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. Cloud environments have become ever more complex, with an increasingly interconnected set of services.

Code 208

Code DevOps Cloud Analytics 208

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. The primary goal of ITOps is to provide a high-performing, consistent IT environment. Performance. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. The need for developers and innovation is now even greater. Thus, the concept of NoOps takes DevOps a step further.

DevOps 213

DevOps Big Data Cloud Innovation 213

Dynatrace

JUNE 28, 2022

This significantly accelerates release cycles, reduces time to market, prevents unexpected disruptions, and lowers costs by catching issues early in the software development lifecycle (SDLC). The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

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. AI-powered analytics. Platform and application security.

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs aid decision making.

Software 259

Software Software Benchmarking Latency 259

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. Enter causal AI. What is predictive AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

JULY 18, 2022

The arrival of the OpenTelemetry initiative is timely, as development teams are increasingly becoming active in monitoring and observability efforts to accelerate release times and simplify management. Development teams like to use their favorite tools, but instrumenting every single one can quickly become impractical. ” W.W.

Artificial Intelligence 189

Artificial Intelligence Open Source Analytics Monitoring 189

Dynatrace

MAY 23, 2022

As the pace of business quickens, software development has adapted. As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. Easier to develop. Dynatrace news. What is monolithic architecture? Monolithic architecture pros.

Architecture 192

Architecture DevOps Monitoring Programming 192

Dynatrace

JULY 25, 2023

Hypermodal AI, which combines predictive AI, causal AI, and generative AI, boosts productivity across operations, security, development, and business teams. Generative AI drives productivity through AI-powered analytics and automation for all members of your organization. This AI also triggers automated remediation actions.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

AUGUST 25, 2023

Further, legacy custom-developed apps were not built to meet the present-day user experience that HHS clients and partners expect. Enable DevOps teams to modernize legacy apps Too many HHS IT organizations have an inventory of outdated applications with duplicative functionality, questionable states of health, and security vulnerabilities.

Government 200

Government Infrastructure Programming Cloud 200