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 DevOps 181

Dynatrace

MAY 17, 2023

ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 259

Innovation Software Software Artificial Intelligence 259

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 195

Software Software Artificial Intelligence DevOps 195

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. SLOs aid decision making.

Software 263

Software Software Benchmarking Latency 263

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. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult. Dynatrace news.

Monitoring 200

Monitoring Software Software DevOps 200

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 240

Engineering Development DevOps Infrastructure 240

Dynatrace

FEBRUARY 9, 2022

One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Dynatrace enables software intelligence as code. Otherwise, contact our Services team.

Code 216

Code Software Software DevOps 216

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 207

Analytics Metrics Best Practices Servers 207

Dynatrace

DECEMBER 13, 2023

And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code. Data indicates these technology trends have taken hold.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

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 275

Efficiency Performance Analytics DevOps 275

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 206

Analytics Mobile Performance Monitoring 206

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 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 185

Analytics Innovation Metrics Database 185

Dynatrace

DECEMBER 12, 2023

For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. 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%).

Artificial Intelligence 206

Artificial Intelligence DevOps Analytics Strategy 206

Dynatrace

NOVEMBER 7, 2023

According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Platform engineering is on the rise. Ensure that you get the most out of your product.

Engineering 273

Engineering DevOps Best Practices Infrastructure 273

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 195

Analytics Retail Metrics Mobile 195

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Second, for causal AI to provide a deep and rich context to unleash GPT’s full potential for software delivery and productivity use cases.”

DevOps 184

DevOps Analytics Best Practices Java 184

Dynatrace

JANUARY 23, 2024

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

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

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. Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

SEPTEMBER 8, 2022

Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system. While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

FEBRUARY 28, 2024

Both SREs and application teams invest substantial time and effort in locating and rectifying software glitches within their local environments. In the next blog post, we’ll discuss the integration of security modules into the DevOps process with the aim of achieving DevSecOps.

DevOps 202

DevOps Metrics Engineering Analytics 202

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. DevOps requires infrastructure experts and software experts to work hand in hand. Or is it just a passing cloud?

DevOps 217

DevOps Big Data Cloud Innovation 217

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. How does a data lakehouse—the combination of a data warehouse and a data lake—together with software intelligence, bring data insights to life?

Analytics 220

Analytics Storage Infrastructure Metrics 220

Dynatrace

APRIL 6, 2022

DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. How full-stack observability enhances IT and DevOps. Here are a few ways full-stack observability can benefit your IT and DevOps teams.

DevOps 230

DevOps Innovation Infrastructure Analytics 230

Dynatrace

DECEMBER 15, 2022

2: Observability, security, and business analytics will converge as organizations strive to tame the data explosion. To address this, observability, security, and business analytics will converge as organizations consolidate their tools. Observability trend no. Observability trend no.

Artificial Intelligence 251

Artificial Intelligence Analytics Innovation Healthcare 251

Dynatrace

FEBRUARY 15, 2023

Development teams need automated workflows so they’re not stuck manually monitoring all stages of the software development lifecycle in their cloud environments. And, ultimately, platform and site reliability engineers can provide answer-driven automation and higher-quality software with automated security and quality gates.

Code 211

Code DevOps Cloud Analytics 211

Scalegrid

DECEMBER 21, 2023

They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations. Unlocking these functions allows us to gain access to all that this CLI has to offer us.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities.

Open Source 192

Open Source Storage Analytics Innovation 192

Dynatrace

SEPTEMBER 15, 2023

Given the increasing velocity of software application releases, configuration changes, and integrations, the adoption of observability and security tools is vital. 5), DevOps/AppDev (4.08/5), 1 Not only that, Dynatrace scored highest for Use Cases across the board, including the IT Operations (4.15/5), 5) Use Cases.

Monitoring 245

Monitoring Performance Analytics DevOps 245

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. The primary goal of ITOps is to provide a high-performing, consistent IT environment. ITOps vs. AIOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE).

Engineering 181

Engineering Development Infrastructure Cloud 181

Dynatrace

MAY 27, 2022

Kris Saling – Chief Analytics Officer for the Army Talent Management Task Force and Director of People Analytics in the office of the Assistant Secretary of the Army (Manpower and Reserve Affairs). Jazmin Furtado – Liaison at AI Accelerator and Data Strategy Lead at U.S. Army’s Kris Saling. Army’s Kris Saling.

Monitoring 200

Monitoring Government Analytics Education 200

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. Taking AIOps to the next level.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

High Scalability

FEBRUARY 19, 2019

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Shape the future of software in your industry. Who's Hiring?

Software 125

Software Software Analytics Infrastructure 125

Dynatrace

OCTOBER 19, 2023

Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities. By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features.

Best Practices 208

Best Practices Benchmarking Speed Infrastructure 208

High Scalability

MARCH 19, 2019

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Shape the future of software in your industry. Who's Hiring?

Software 122

Software Software Analytics Infrastructure 122