Dynatrace

NOVEMBER 7, 2023

Platform engineering is on the rise. 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.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Don’t reinvent the wheel.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment. Extensions 2.0

Technology 251

Technology Technology Scalability Availability 251

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

APRIL 29, 2021

Whilst our traditional Dynatrace website predominantly showcases Dynatrace content and product information for visitors, the idea behind the creation of our new Engineering website – engineering.dynatrace.com – was to set up a space to feature the results of our research and innovation efforts and aims to be a site made by engineers for engineers.

Engineering 262

Engineering Open Source Website Innovation 262

Dynatrace

FEBRUARY 2, 2023

Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. Metric extraction is a convenient way to create your business metrics, delivering fast, flexible, and cost-effective analytics.

Analytics 207

Analytics Metrics DevOps Storage 207

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Now, with technology-specific views, DevOps teams can see messaging system-related anomalies, which significantly simplifies troubleshooting efforts. – DevOps Engineer, large healthcare company.

Analytics 192

Analytics Systems DevOps Healthcare 192

DZone

MARCH 8, 2024

However, the 2024 State of Observability report from Dynatrace reveals that the explosion of data generated by these complex ecosystems is pushing traditional monitoring and analytics approaches to their limits. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 325

Analytics Innovation DevOps Architecture 325

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Netflix TechBlog

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team.

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 159

Analytics Technology Technology Cloud 159

Dynatrace

FEBRUARY 9, 2021

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I connect the dots between mobile analytics and performance monitoring? How do I ensure observability at scale across all major mobile technologies? Dynatrace news.

Analytics 211

Analytics Mobile Performance Monitoring 211

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

MARCH 18, 2024

In fact, according to technology intelligence analyst firm HG Insights , OpenTelemetry is the Cloud Native Computing Foundation’s second most active project after Kubernetes and is used by more than 1,600 organizations worldwide, with customer adoption growing at a compound annual growth rate of 59%.

Scalability 268

Scalability Open Source Analytics Innovation 268

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. With Automation Engine, they were able to call the cloud provider’s API to trigger the desired resizing action. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 226

AWS Analytics Cloud Monitoring 226

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Capacity planning.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

Dynatrace

FEBRUARY 10, 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. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

MARCH 1, 2024

The Dynatrace platform offers comprehensive observability and monitoring across the entire technology stack. This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights. This lack of end-to-end visibility leads to blind spots that impact customer satisfaction.

Analytics 195

Analytics Monitoring Website Efficiency 195

Dynatrace

DECEMBER 12, 2023

In fact, according to the recent Dynatrace survey , “The state of AI 2024,” the majority of technology leaders (83%) say AI has become mandatory. Alongside the numerous benefits, these organizations need to manage the increased risks the technology brings.

Artificial Intelligence 211

Artificial Intelligence DevOps Analytics Strategy 211

Dynatrace

OCTOBER 7, 2020

With this advancement, Dynatrace is now the data-to-answers-to-actions processing engine of choice that relieves you of the burden of manual health and performance analysis. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

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 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

JULY 11, 2023

By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine. As an alternative, OpenTelemetry lets you extend Dynatrace technology coverage with log data.

Open Source 220

Open Source Analytics Metrics Cloud 220

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 193

Software Software Analytics Big Data 193

Dynatrace

DECEMBER 4, 2023

“Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. Combining Dynatrace with Traceloop’s OpenLLMetry addresses the heterogeneity challenge by supporting a range of popular LLMs, prompt engineering, and chaining frameworks. However, Python models are trickier.

Open Source 262

Open Source Latency Metrics Java 262

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Extensibility and technology ecosystem. What is Kubernetes? Complexity.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. Be aware that it is a best practice to additionally limit this rule to only apply to certain technologies or services. This opens up new analytics use case to e.g: Dynatrace news. test name, test step.

Engineering 195

Engineering Performance Metrics Best Practices 195

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. High-performance analytics—no indexing required. So, there was a need to do something revolutionary.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

MARCH 29, 2023

Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB. Recognizing Dynatrace as Google Cloud Ready – AlloyDB validates their support for and integrations with AlloyDB” said Ritika Suri, Director, Technology Partnerships at Google Cloud.

Google 225

Google Metrics Cloud Analytics 225

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. 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.

DevOps 208

DevOps Metrics Engineering Analytics 208

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

DECEMBER 16, 2022

Unlike other technologies in the market, the Dynatrace platform instantly provides an outside-in view to ensure applications and services are available, performing, and functional across all digital channels. AIOps powered by Davis AI Engine. The Davis® AI engine is at the heart of the Dynatrace approach to AIOps.

Artificial Intelligence 236

Artificial Intelligence Strategy Infrastructure Monitoring 236

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 223

Analytics Education Innovation Engineering 223

Dotcom-Montior

OCTOBER 19, 2021

The role and responsibilities of a site reliability engineer (SRE) may vary depending on the size of the organization. For the most part, a site reliability engineer is focused on multiple tasks and projects at one time, so for most SREs, the various tools they use reflect their eve-evolving responsibilities. Programming Languages.

Engineering 86

Engineering Open Source Programming Monitoring 86