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 216

DevOps Traffic Efficiency Servers 216

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 182

Analytics Innovation Metrics Database 182

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

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.” Say goodbye to high watermark pricing.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

DECEMBER 13, 2023

As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

Technology 199

Technology Technology Artificial Intelligence Analytics 199

Dynatrace

FEBRUARY 15, 2023

Bringing precise, answer-driven automation to observability, security, and business As IT operations teams, security, DevOps, and others look to automate workflows, they need a solid platform foundation that enables data in context as well as provides precise and trustworthy answers. For more on AutomationEngine, visit our website.

Code 207

Code DevOps Cloud Analytics 207

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digitizing internal processes can improve information flow and enhance collaboration among employees. Digital tools and technologies provide a more efficient way of doing things.

Strategy 172

Strategy Retail DevOps Education 172

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 255

Innovation Software Software Artificial Intelligence 255

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. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

JULY 25, 2023

Causal AI processes observability, security, and business data in the context of causal dependencies from Dynatrace Smartscape topology to precisely determine the needle in the haystack in continuously and dynamically updated software services. Davis CoPilot™ will be available later in 2023 as a core technology within the Dynatrace platform.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 199

DevOps Metrics Engineering Analytics 199

Dynatrace

FEBRUARY 16, 2023

Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities. More importantly, you get a clear risk management process based on the provided insights.

Programming 191

Programming Government Analytics Efficiency 191

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … But it is also about process automation. For the latest news from Perform, check out our “ Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI.”

Artificial Intelligence 189

Artificial Intelligence Analytics Cloud Innovation 189

Dynatrace

AUGUST 21, 2023

“For the first time, we have a consistent API to gather this data across many different languages and a consistent protocol for all these signals,” said Michael Kopp, application observability product lead at Dynatrace, during a recent talk at Perform 2023. It’s also being built into Kubernetes.” We also believe in OpenTelemetry.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Because there is a direct link between mastery of data and the ability to protect it , many enterprises have necessarily become data brokers.

Design 188

Design Storage Programming Analytics 188

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. This app also showcases AppEngine’s ability to unlock actionable insights from data through enrichment, visualization, and analytics.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

SEPTEMBER 21, 2023

The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). Because Carbon Impact is integrated with Dynatrace Smartscape ® topology modeling, it’s easy to drill into host and process details. These metrics include CPU, memory, disk, and network I/O.

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. Rapid development and iteration Modern cloud apps are typically developed using modern methodologies such as Agile and DevOps.

Cloud 173

Cloud Open Source Architecture Monitoring 173

Smashing Magazine

OCTOBER 24, 2023

The Fight For The Main Thread The Fight For The Main Thread Geoff Graham 2023-10-24T18:00:00+00:00 2023-10-24T22:02:26+00:00 This article is sponsored by SpeedCurve Performance work is one of those things, as they say, that ought to happen in development. Analytics is a good example. Analytics is another difficult choice.

Google 91

Google Analytics Traffic Metrics 91

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. With all of these processes in place, cost optimization is also a high concern for organizations worldwide. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92