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 287

Efficiency Performance Analytics DevOps 287

Dynatrace

OCTOBER 4, 2024

Unlocked use cases Gaining insights into your pipelines and applying the power of Dynatrace analytics and automation unlocks numerous use cases: Make data-driven improvements: Invest in those software delivery capabilities that provide the most significant payoff. are data points that require special attention.

Software 230

Software Software Development Performance 230

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 200

Software Software Analytics Big Data 200

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 217

Artificial Intelligence DevOps Analytics Strategy 217

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. In addition, Dynatrace effortlessly collects crucial DORA metrics, SLOs, and business analytics data via its robust unified data platform, Dynatrace Grail™. Automation, automation, automation.

Engineering 285

Engineering DevOps Best Practices Infrastructure 285

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 251

Engineering Development DevOps Infrastructure 251

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. A unified observability and security analytics strategy can guide organizations toward a more proactive security posture at scale. Learn more in this blog.

Analytics 187

Analytics Government DevOps Efficiency 187

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 198

Performance DevOps Innovation Artificial Intelligence 198

Dynatrace

APRIL 11, 2023

And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. When DevOps teams move these tasks earlier in the development process, it can aid in finding software flaws before they enter production. Only 27% of those CIOs say their teams fully adhere to a DevOps culture.

Cloud 199

Cloud DevOps Open Source Retail 199

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 241

DevOps Innovation Infrastructure Cloud 241

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. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 233

Analytics Storage Infrastructure Metrics 233

Dynatrace

OCTOBER 3, 2024

This empowers application teams to gain fast and relevant insights effortlessly, as Dynatrace provides logs in context, with all essential details and unique insights at speed. This eliminates the need for swapping tools or manual log correlation. Increase productivity and start automating your work with all related data in context.

Performance 258

Performance Architecture Innovation Latency 258

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. Combining causal AI with GPTs will empower teams to automate analytics that explore the impact of their code, applications, and the underlying infrastructure while retaining full context.

Innovation 272

Innovation Software Software Artificial Intelligence 272

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

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. Evolution of modern AIOps.

DevOps 228

DevOps Big Data Cloud Innovation 228

Dynatrace

AUGUST 7, 2023

To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps? What is DevSecOps?

DevOps 197

DevOps Analytics Best Practices Java 197

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 203

DevOps Analytics Airlines Metrics 203

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. Software development success no longer means just meeting project deadlines.

Software 208

Software Software Artificial Intelligence DevOps 208

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps. Reliability.

Artificial Intelligence 215

Artificial Intelligence DevOps Hardware Virtualization 215

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 186

Artificial Intelligence DevOps Analytics Cloud 186

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.

Technology 228

Technology Technology Analytics Innovation 228

Dynatrace

SEPTEMBER 23, 2022

Log management and analytics have become a particular challenge. A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse.

Cloud 188

Cloud Artificial Intelligence Innovation Architecture 188

Dynatrace

FEBRUARY 9, 2022

To accomplish this, organizations have widely adopted DevOps , which encompasses significant changes to team culture, operations, and the tools used throughout the continuous development lifecycle. This builds on existing functionality, including configurable dashboards and business analytics via API.

Code 228

Code Software Software DevOps 228

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. A huge advantage of this approach is speed.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

Dynatrace

OCTOBER 19, 2023

DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. This approach helps organizations deliver more secure software and infrastructure with greater efficiency and speed. Download the free 2023 CISO Report.

Best Practices 221

Best Practices Speed Benchmarking Infrastructure 221

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps. Limited because of a single programming language.

Architecture 206

Architecture DevOps Monitoring Programming 206

Dynatrace

JANUARY 19, 2022

Understanding the difference between observability and monitoring helps DevOps teams understand root causes and deliver better applications. DevOps and DevSecOps orchestration. DevOps brings developers and operations teams together and enables more agile IT. What is DevOps? Learn how security improves DevOps.

Artificial Intelligence 191

Artificial Intelligence DevOps Performance Games 191

Scalegrid

DECEMBER 21, 2023

Such as INFO which gives statistics about the server, LATENCY LATEST which provides latency measurements in real time and MONITOR which allows observation of the client’s transmitted command at live speed. 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

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

SEPTEMBER 23, 2022

Log management and log analytics have become a particular challenge. A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

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 252

DevOps Innovation Monitoring Analytics 252

Dynatrace

FEBRUARY 6, 2020

Three waves of DevOps leading to Autonomous Cloud. At Dynatrace, we have been very proud and vocal about our own DevOps transformation story that we started when we incubated what is now known as the Dynatrace Software Intelligence Platform (formerly Ruxit). DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

Cloud 185

Cloud DevOps Engineering Speed 185

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. Dynatrace news. Today, online services require near 100% uptime.

DevOps 209

DevOps Metrics Best Practices Latency 209

Dynatrace

FEBRUARY 16, 2023

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. 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.

Programming 207

Programming Government Analytics DevOps 207

Dynatrace

NOVEMBER 20, 2023

Why this deterministic AI approach is critical to business success – blog Today’s organizations need to go beyond a traditional, correlation-driven approach to identify the underlying causes and effects of an event or behavior and drive better DevOps automation. Enter causal AI. What is predictive AI? What is AIOps?

AWS 220

AWS Artificial Intelligence Cloud Analytics 220

Dynatrace

SEPTEMBER 12, 2022

This placement recognizes Dynatrace’s focus on customers and pushing the art of what’s possible in AI and automation as it’s applied to observability, security, and business analytics. DevOps, site reliability engineering, and chaos engineering continue to grow in adoption across IT organizations. Why is Dynatrace ahead of the pack?

Strategy 130

Strategy DevOps Analytics Cloud 130

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 238

Government DevOps Infrastructure Network 238