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 217

Analytics Storage Retail Monitoring 217

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

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

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 183

Analytics Storage Retail Monitoring 183

Dynatrace

FEBRUARY 9, 2022

To accomplish this, organizations have widely adopted DevOps , which encompasses significant changes to team culture, operations, and the tools used throughout the continuous development lifecycle. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

Code 219

Code Software Software DevOps 219

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

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. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. “It makes them more productive.

Engineering 243

Engineering Development DevOps Infrastructure 243

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 RUM for Mobile Apps provides crash analytics by default. Creating an SLO dashboard for Business, DevOps, and SREs.

DevOps 207

DevOps Social Media Mobile Metrics 207

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 208

Analytics Metrics Best Practices Servers 208

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

FEBRUARY 9, 2021

This leaves DevOps teams with the cumbersome task of having to manually identify user struggles and troubleshoot errors. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 208

Analytics Mobile Performance Monitoring 208

Dynatrace

DECEMBER 12, 2023

As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%). DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs.

Artificial Intelligence 208

Artificial Intelligence DevOps Analytics Strategy 208

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. Operations.

Software 190

Software Software Analytics Big Data 190

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. Grail and DQL will give you new superpowers.”

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

FEBRUARY 18, 2020

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. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 197

Analytics Retail Metrics Mobile 197

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.” Ensure that you get the most out of your product.

Engineering 276

Engineering DevOps Best Practices Infrastructure 276

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

Innovation 262

Innovation Software Software Artificial Intelligence 262

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 185

Artificial Intelligence DevOps Strategy Open Source 185

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps?

DevOps 187

DevOps Analytics Best Practices Java 187

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 189

Cloud DevOps Open Source Retail 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. DevOps teams are challenged to rapidly identify the root cause of issues without support from database administrators.

Database 242

Database DevOps Analytics Servers 242

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 233

DevOps Innovation Infrastructure Analytics 233

Dynatrace

FEBRUARY 28, 2024

Outcome #1: Build promotion Once the newly developed code is in line with the objectives outlined in the Guardian—and assuming that Davis AI doesn’t generate any new events—the SRG action activates the successful path in the workflow. This approach effectively tackles the challenges that come with complex application ecosystems.

DevOps 205

DevOps Metrics Engineering Analytics 205

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. It is common to refer to these together as log management and analytics.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Davis CoPilot can provide recommended actions to remediate issues.

Best Practices 235

Best Practices Analytics Metrics Code 235

Dynatrace

JUNE 28, 2022

It negatively affects the lead time for changes (LT) , a DORA metric 1 that DevOps teams use to measure platform and team performance. Utilizing a collection of tools for synthetic CI/CD testing can identify an issue while still leaving DevOps and SRE teams responsible for root cause analysis, which they often have to perform manually.

Monitoring 203

Monitoring Software Software DevOps 203

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 188

Performance DevOps Innovation Artificial Intelligence 188

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 223

Analytics Storage Infrastructure Metrics 223

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . million a year in employee productivity alone. . The difference Davis makes.

Engineering 303

Engineering DevOps Innovation AWS 303

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. Acceleration of innovation.

Open Source 195

Open Source Storage Analytics Innovation 195

Dynatrace

JULY 18, 2022

More than 20 leading cloud and operations analytics vendors have added support to their products — including Dynatrace, which is one of the top contributors to the project. OpenTelemetry was purposely conceived to complement — and not compete with — existing analytical tools. Manual or automated deployment.

Artificial Intelligence 195

Artificial Intelligence Open Source Analytics Monitoring 195

Dynatrace

AUGUST 21, 2023

OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 198

Open Source Analytics Lambda Metrics 198

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 227

Lambda AWS Serverless Latency 227

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

MAY 23, 2022

IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. .” Hard on DevOps.

Architecture 197

Architecture DevOps Monitoring Programming 197