Dynatrace

MARCH 29, 2024

While ChatGPT and Google Bard are well-known examples of generative AI tools, several organizations are now utilizing proprietary, open source, or self-made generative AI large language models to help improve productivity, efficiency, and customer experiences.

Artificial Intelligence 177

Artificial Intelligence DevOps Strategy Open Source 177

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 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end. Why is developer observability important for engineers? Observability is about answering.”

Development 255

Development DevOps Programming Cloud 255

Dynatrace

FEBRUARY 10, 2023

IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Learn more. Learn more.

Efficiency 269

Efficiency Performance Analytics DevOps 269

Dynatrace

SEPTEMBER 20, 2022

This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Download the 2021 DevOps Report.

Best Practices 255

Best Practices DevOps Education Serverless 255

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. For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

MAY 31, 2023

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. That’s why good communication between SREs and DevOps teams is important. For example, a panel of customers may occasionally provide feedback on service quality and performance.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Open source code, for example, has generated new threat vectors for attackers to exploit. Consider, for example, the recent Log4Shell and Spring4Shell vulnerabilities. Learn how security improves DevOps. DevOps vs. DevSecOps – blog.

Open Source 215

Open Source DevOps Java Innovation 215

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. How to achieve digital immunity with a unified data platform.

Software 189

Software Software Artificial Intelligence DevOps 189

Dynatrace

NOVEMBER 9, 2021

But before we do, below are some of the examples of recent analyst recognitions where Dynatrace has been named in a leadership position for our observability platform and capabilities. Typically, these projects span but are not limited to, DevOps Automation, Cloud Ops Automation, and Application Modernization.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. And it’s not just the release validation.

DevOps 243

DevOps Open Source Cloud Azure 243

Dynatrace

AUGUST 16, 2021

Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Example #1 – Deploy application code to Kubernetes. 2 Confidence: .

Software 246

Software Software Open Source Azure 246

Dynatrace

OCTOBER 14, 2022

For example, a supervised learning effort might supply machine learning tools with labeled pictures of cows and horses. Why deterministic AIOps is essential for DevOps — and beyond. Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Let’s take service availability for example. Dynatrace news.

DevOps 189

DevOps Metrics Best Practices Latency 189

Testsigma

APRIL 27, 2020

Organizations that adopt DevOps are able to evolve and improve software products much faster when compared to those that use traditional software development processes. DevOps is a bridge between development and operations in an organization and aims to improve productivity as a whole. Why DevOps Really Matters For Modern Businesses?

DevOps 53

DevOps Innovation Efficiency Testing 53

Dynatrace

SEPTEMBER 29, 2021

Part one also provided an overview of Dynatrace’s Cloud Automation solution, Microsoft’s GitHub Actions , and open-source examples you can use and extend related to deployment and release monitoring. Example #3 – Automate Monitoring configuration as code. Monitoring as Code workflow example. Blog series use cases.

Software 194

Software Software Open Source DevOps 194

Dynatrace

AUGUST 11, 2022

In addition to modern application stacks introducing new levels of speed and complexity, they also create new security challenges. Vulnerability scanners detect vulnerabilities in, for example, language runtimes. Dynatrace news. And the distinction between applications and cloud platforms is blurring.

Java 234

Java Cloud Virtualization DevOps 234

Dynatrace

JULY 29, 2022

Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year. Peak performance analysis. Better-quality code. Indexing overhead.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

APRIL 22, 2024

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. Automation can be particularly powerful when applied to DevOps workflows. Examples of qualitative questions include: How is automation created at your organization?

DevOps 179

DevOps Artificial Intelligence Government Innovation 179

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 191

DevOps Best Practices Innovation Strategy 191

Dynatrace

JUNE 3, 2022

SLOs have evolved beyond basic target measurements; they are powerful guidance tools for site reliability engineers (SREs) and DevOps platform teams to help direct areas of improvement in both CI/CD as well as production processes of every organization. However, creating effective SLOs can be difficult.

Metrics 187

Metrics DevOps Monitoring Speed 187

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JULY 29, 2022

Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year. Peak performance analysis. Better-quality code. Indexing overhead.

Analytics 175

Analytics Storage Retail Monitoring 175

Dynatrace

JULY 12, 2022

The platform might identify, for example, that a SQL database “leverages [a particular] node when we do our Tlog [transaction log] backups,” he says. “We IT automation speeds code development. To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says.

Innovation 212

Innovation Infrastructure DevOps Azure 212

Dynatrace

MAY 16, 2019

Over the last year we’ve seen more and more Dynatrace customers move from DevOps to NoOps. These organizations have built automation into their DevOps environments to a degree that there is no longer a need for a traditional Ops team to manage software in-house. Dynatrace news. And how about your processes?

Innovation 184

Innovation Cloud DevOps Best Practices 184

Dynatrace

FEBRUARY 16, 2023

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. Other vendors have tried to integrate vulnerability information into their tools without the runtime observability context to enhance, for example, service tickets.

Programming 188

Programming Government Analytics Efficiency 188

Dynatrace

DECEMBER 2, 2021

For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if the SLA for a website is 99.95% uptime, its corresponding SLO could be 99.95% availability of the login services. For example, if your SLO guarantees 99.5% What are SLOs?

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

JULY 29, 2022

For example, Company A may rely on Supplier B, which has access to its enterprise resource planning or other systems. According to Dynatrace research, 51% of respondents say the speed of modern software delivery makes it easier for vulnerabilities to re-enter production after remediation.

Software 183

Software Software Open Source DevOps 183

Dynatrace

AUGUST 18, 2022

” Moreover, as modern DevOps practices have increased the speed of software delivery, more than two-thirds (69%) of chief information security officers (CISOs) say that managing risk has become more difficult. For example, an attacker could exploit a misconfigured firewall rule to gain access to servers on your network.

Traffic 160

Traffic Java Network DevOps 160

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 212

DevOps Metrics Engineering Speed 212

Dynatrace

OCTOBER 28, 2021

The crisis could be technical, natural, or malicious events, for example an earthquake affecting data center availability, or a cyberattack infecting applications and websites. Chaos engineering generally originates from small teams within DevOps , often involving applications running in both pre-production and production environments.

Engineering 218

Engineering Entertainment Cloud Infrastructure 218

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

MAY 27, 2022

Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. An example of the self-healing web. For example, a typical use case involves a web server running an analytics and reporting system. An example of service self-healing using Ansible. End-to-end self-healing IT.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 189

DevOps Testing Monitoring Speed 189

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 195

DevOps Testing Monitoring Speed 195

Dynatrace

AUGUST 1, 2019

More specifically, I’ll demonstrate how in just a few steps, you can add Dynatrace information events to your Azure DevOps release pipelines for things like deployments, performance tests, or configuration changes. Microsoft DevOps Azure is one of the best CI/CD systems and a strategic technical Dynatrace partner.

Azure 25

Azure DevOps Performance Testing Testing 25

Dynatrace

MARCH 10, 2021

Consider the following example visualized in the chart below: A web app exhibits an anomaly, like a reduced response time (see top left in the graphic). The automatic root-cause detection includes all the relevant vertical stacks as shown in the example and ranks the contributors to determine the one with the most negative impact.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142