DZone

APRIL 16, 2021

In 2019, according to Evans Data Corporation, there were 23.9 In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Often speed and quality seem at odds with one another, but in reality, this isn’t the case.

Speed 290

Speed Software Software Metrics 290

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Data explosion hinders better data insight.

Cloud 171

Cloud Artificial Intelligence Innovation Architecture 171

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Data explosion hinders better data insight.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

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. Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation.

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Some of these challenges involve basic tasks—such as data collection. Dynatrace Grail enables organizations to ingest data without predefining schema.

Artificial Intelligence 177

Artificial Intelligence DevOps Strategy Open Source 177

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. For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

Artificial Intelligence 201

Artificial Intelligence DevOps Analytics Strategy 201

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. 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. Digital transformation shows no signs of slowing down.

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. The education of employees about security awareness.

Best Practices 255

Best Practices DevOps Education Serverless 255

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 253

Innovation Software Software Artificial Intelligence 253

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. DevOps, SREs, developers… everyone will ask questions.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

MAY 31, 2023

Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

MAY 4, 2023

Since the Log4Shell vulnerability of 2021, modern multicloud complexity and data proliferation have steadily increased, providing more opportunities for security vulnerabilities to stealthily enter the software delivery lifecycle (SDLC). Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams.

DevOps 206

DevOps Speed Innovation Open Source 206

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. It is also a vital data collection mechanism for regression testing against subsequent releases.

DevOps 202

DevOps Benchmarking Cloud Monitoring 202

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. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 181

Software Software Analytics Big Data 181

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. The ability to measure a system’s current state based on the data it generates.

Software 189

Software Software Artificial Intelligence DevOps 189

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Shift left your SRE practices. How the evaluation works. What’s next.

Cloud 237

Cloud DevOps Benchmarking Speed 237

Dynatrace

OCTOBER 19, 2023

With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity best practices that safeguard your organization’s data and privacy. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 202

Best Practices Benchmarking Speed Infrastructure 202

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. Dynatrace news. Improving cross-team collaboration improves cloud-native success.

Cloud 177

Cloud DevOps Strategy Monitoring 177

Dynatrace

NOVEMBER 9, 2022

According to some data, 93% of technologists find cloud application modernization challenging. Moreover, according to IDC data,? IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. Optimizing DevOps with cloud automation . Successful?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Additionally, real-time visibility into production vulnerabilities helps to secure sensitive consumer and employee data. According to recent data, the average time to identify and patch a vulnerability can be more than 200 days. Learn how security improves DevOps.

Open Source 215

Open Source DevOps Java Innovation 215

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. A modern observability solution transforms data from distributed environments into actionable business intelligence. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. 2021 DevOps Report.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. This is often known as classification applications.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Dynatrace

AUGUST 9, 2019

Try to get your company more into the DevOps mindset so that you can release smaller chunks of work more often. DevOps automation is about automating manual processes using technology to make them repeatable. ACM Survey, Part 2: How your peers use production monitoring data to innovate faster. The risk is smaller, too.

Speed 115

Speed Innovation DevOps Cloud 115

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. What is DevSecOps?

DevOps 179

DevOps Analytics Best Practices Java 179

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation and the importance of observability.

DevOps 200

DevOps Cloud Best Practices Open Source 200

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

MAY 3, 2021

Many organizations realize their DevOps tools and practices do not sufficiently account for security. The security challenges of DevOps. To set the stage for a security-as-code culture, Stewart explained how DevSecOps is a cross-team collaboration framework that responds to the security challenges of DevOps. Dynatrace news.

Code 155

Code DevOps Speed Government 155

Dynatrace

NOVEMBER 9, 2021

We start with metrics, traces, and logs (that’s table stakes) but also provide context and enrichment through topology, behavior, code, metadata, and network, combined with data from application programming interfaces (API) and OpenTelemetry. DevOps and Cloud Ops Automation. Application Modernization.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 212

Cloud DevOps Azure Virtualization 212

Dynatrace

SEPTEMBER 30, 2019

That means DevOps and IT put less time and resources toward driving new proactive innovations, and more into reactive problem solving and putting out fires in an environment that is more dynamic and unpredictable than ever. Kubernetes’ native cluster and node health data help to paint a fuller picture of complex cloud environments.

DevOps 198

DevOps Innovation Cloud Speed 198

Dynatrace

JULY 29, 2022

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. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

JANUARY 21, 2022

At Dynatrace Perform 2022 , the Advancing DevOps and DevSecOps track will highlight the importance of an automatic and intelligent approach to vulnerability management for modern multicloud environments. Register for Perform 2022 today , and check out the Advancing DevOps and DevSecOps track.

Strategy 215

Strategy Cloud DevOps Open Source 215

Dynatrace

AUGUST 11, 2022

In addition to modern application stacks introducing new levels of speed and complexity, they also create new security challenges. AI-powered risk assessment based on observability data provided by the Davis® Security Advisor. Dynatrace news. And the distinction between applications and cloud platforms is blurring.

Java 234

Java Cloud Virtualization DevOps 234

Dynatrace

JUNE 13, 2022

The recognition of Dynatrace, in our opinion, for its Ability to Execute and for Completeness of Vision, also illustrates the unique ability of the Dynatrace platform to deliver answers and intelligent automation from the expanding volume of observability data emanating from modern clouds. “As Dynatrace also named a Gartner Customer’s Choice.

Innovation 195

Innovation Cloud Open Source Monitoring 195

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 237

DevOps Innovation Monitoring Analytics 237