Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

Artificial Intelligence 229

Artificial Intelligence Cloud Best Practices DevOps 229

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI-enabled chatbots can help service teams triage customer issues more efficiently. As organizations adopt more AI technologies, the associated costs are skyrocketing.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. One of the keys to managing cloud costs is ensuring that operations are running efficiently. Digital transformation continues surging forward.

Engineering 245

Engineering DevOps Innovation Storage 245

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. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. In fact, more than half of organizations use Kubernetes in production. “Additionally, we are full-stack and goal-oriented.

Engineering 225

Engineering DevOps Operating System Open Source 225

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. They set up private, public, or hybrid cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies.

Design 217

Design Innovation DevOps Open Source 217

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. The result is increased efficiency, reduced operating costs, and enhanced productivity.

Software 187

Software Software Analytics Big Data 187

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 254

Engineering DevOps Government Latency 254

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud technologies enable teams to deploy and release software more frequently.

Cloud 182

Cloud DevOps Strategy Monitoring 182

Dynatrace

NOVEMBER 9, 2022

But many companies’ IT infrastructure doesn’t start out in the cloud. As a result, many organizations house various legacy technologies in their estates. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. Moreover, according to IDC data,?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

OCTOBER 16, 2023

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.

Innovation 197

Innovation DevOps Cloud Efficiency 197

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. IT modernization can help.

Government 203

Government Infrastructure Programming Cloud 203

Dynatrace

FEBRUARY 15, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations and automated workflows. This helps organizations chart a path to automation, improving efficiency and reducing the risk of errors or inconsistencies.

Code 211

Code DevOps Cloud Analytics 211

Dynatrace

FEBRUARY 28, 2024

The burgeoning reliance on cloud technology stacks amplifies this challenge, creating hurdles due to budgetary constraints, time limitations, and the potential risk of human errors. In the next blog post, we’ll discuss the integration of security modules into the DevOps process with the aim of achieving DevSecOps.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

Alex Podelko

DECEMBER 19, 2019

So here is the list of 21 sessions on my “to attend” list (check the full agenda as you may be interested in another topics and technologies – and there many more great sessions there) – in the same random order they are in the list of sessions). How is DevOps changing the Modern Software Development Landscape? ,

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

JULY 12, 2022

positive customer experience via technology is the backbone of the business. We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. IT automation speeds code development.

Innovation 219

Innovation Infrastructure DevOps Azure 219

Dynatrace

SEPTEMBER 23, 2022

To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate. First, if organizations want to drive greater innovation and efficiency, they need to shift.

Cloud 177

Cloud Artificial Intelligence Innovation Analytics 177

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 176

Engineering DevOps Government Latency 176

Dynatrace

MARCH 7, 2022

Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. Dynatrace enabled a 40% increase in DevOps efficiency by significantly reducing the time required to successfully deploy applications and updates.

Healthcare 224

Healthcare Innovation Efficiency DevOps 224

Dynatrace

SEPTEMBER 23, 2022

To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate. First, if organizations want to drive greater innovation and efficiency, they need to shift.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 166

Lambda AWS Serverless Infrastructure 166

Dynatrace

SEPTEMBER 9, 2022

Based on IDC’s research, 83% of enterprises are rationalizing, or optimizing, their technology infrastructure. According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Improved efficiency.

Strategy 226

Strategy Benchmarking Serverless Infrastructure 226

Dynatrace

MAY 3, 2022

To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. As organizations adopt cloud-native technologies, complexity increases. A measured approach to adding new technology to your stack, such as containerizing applications. Dynatrace news.

Cloud 178

Cloud DevOps Architecture Technology 178

Dynatrace

DECEMBER 6, 2021

Taking an end-to-end responsibility for our customers’ critical infrastructure and applications, we are always striving to optimize the performance of our industrialized platform. These benefits are then extended to the customers on our managed platform for them to drive more efficiency and better business outcomes.

Innovation 176

Innovation Strategy Technology Technology 176

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

APRIL 21, 2023

As an application architect, Smith noted it was challenging to ensure software quality and performance when making large-scale changes, including a cloud infrastructure migration and front-end modernization to their unemployment insurance application. Trust is key to our reputation.” The stakes were high.

Government 204

Government Strategy Cloud Traffic 204

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021. Why modern observability is different.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . F or the third time in a row, we are positioned furthest in the quadrant for Completeness of Vision.

DevOps 243

DevOps Innovation Monitoring Analytics 243

Dynatrace

NOVEMBER 2, 2023

This public cloud management discipline provides IT, DevOps , CloudOps, finance, and business teams with continuous cost optimization tools and accurate accounting of cloud resources. Further, a Flexera report found that small to medium-sized businesses spend approximately $1.2 That’s where FinOps can help.

Cloud 195

Cloud Strategy Retail Energy 195

Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. Automation can be particularly powerful when applied to DevOps workflows. What deployment strategies does your organization use?

DevOps 186

DevOps Artificial Intelligence Government Innovation 186