Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

MAY 21, 2024

I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation. Unlike anything before, contextual analytics in Dynatrace provides answers to any question at any time, instantaneously.

Technology 196

Technology Technology Analytics Storage 196

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 217

Azure Cloud Metrics Innovation 217

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 268

Efficiency Performance Analytics DevOps 268

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation.

DevOps 196

DevOps Metrics Engineering Analytics 196

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 152

Analytics Technology Technology Cloud 152

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.

Energy 226

Energy Cloud Airlines Strategy 226

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.

DevOps 225

DevOps Innovation Infrastructure Analytics 225

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Grail drives insights and decisions that preserve earnings and strengthen balance sheets.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Dynatrace

NOVEMBER 7, 2023

Monitoring-as-code can also be configured in GitOps fashion. Open source logs and metrics take precedence in the monitoring process. In addition, Dynatrace effortlessly collects crucial DORA metrics, SLOs, and business analytics data via its robust unified data platform, Dynatrace Grail™.

Engineering 266

Engineering DevOps Best Practices Infrastructure 266

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. A full-stack observability platform such as Dynatrace provides easy access to the three key types of monitoring signals — logs, traces, and metrics — in context. AI-powered analytics.

Open Source 185

Open Source Storage Analytics Innovation 185

Dynatrace

AUGUST 21, 2023

How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. But one blind spot remained.

Open Source 189

Open Source Analytics Lambda Metrics 189

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. As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency.

Artificial Intelligence 176

Artificial Intelligence DevOps Strategy Open Source 176

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring 193

Monitoring Software Software DevOps 193

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 309

Availability Scalability Cloud Metrics 309

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. Dynatrace automatically collects data not just from metrics, traces, and logs, but also user experience and code-level insights – all in context and mapped into a topology.

Engineering 300

Engineering DevOps Innovation AWS 300

Dynatrace

APRIL 7, 2023

Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features.

Lambda 208

Lambda AWS Serverless Latency 208

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. The ability to create custom apps becomes increasingly important as organizations strive to innovate and grow. Site Reliability Guardian.

Analytics 130

Analytics Storage Cloud Code 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

FEBRUARY 15, 2023

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. From code to app to code Apps built with Dynatrace AppEngine can take different forms.

Government 159

Government Serverless Analytics Metrics 159

Dynatrace

JULY 11, 2023

Dynatrace full stack Red Hat OpenShift observability Dynatrace unifies platform engineering and application teams on a single platform, enhancing software quality and operational efficiency to drive innovation. Captures metrics, traces, logs, and other telemetry data in context.

Architecture 164

Architecture Availability Infrastructure Metrics 164

Dynatrace

NOVEMBER 22, 2021

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services.

Best Practices 204

Best Practices AWS Monitoring Serverless 204

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Configuration as code is easy to use, update, and understand. When releasing into production, Gardner said it’s important to think beyond performance metrics.

Engineering 175

Engineering Development Infrastructure Cloud 175

Dynatrace

MAY 21, 2023

It started as an observability platform; over time, it has expanded to provide real user monitoring, business analytics, and security insights. Thanks to the details provided by the code-level vulnerability functionality , the developers knew where in the code the exploited vulnerability was and were able to address and patch it quickly.

Analytics 224

Analytics Metrics Cloud Systems 224

Dynatrace

SEPTEMBER 28, 2020

The study for the ISG Provider Lens ™ Cloud-Native Observability Quadrant measures the breadth, depth, quality, and vision of a product portfolio’s offering, and its competitive strength in the marketplace, customer satisfaction, business innovation, and go-to-market strength.

Cloud 242

Cloud Serverless Innovation Architecture 242

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability. What are the typical use cases for AWS Lambda? AIOps done right.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

JANUARY 19, 2021

This gives you seamless end-to-end distributed tracing for AWS Lambda functions without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience. Actionable analytics across the?entire AI-powered answers, provided by?Dynatrace entire stack,?including

Lambda 202

Lambda Serverless AWS Mobile 202

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and Over the course of the four years it became clear that I enjoyed combining analytical skills with solving real world problems, so a PhD in Statistics was a natural next step. Photo from a team curling offsite? Tell me about some of the exciting projects you’re a part of.

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Dynatrace news. Optimize timing hotspots.

Serverless 231

Serverless Azure Monitoring Lambda 231

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. The good news is that it’s easy—as a Dynatrace customer—to include your business goals and metrics on your Dynatrace dashboards.

Retail 132

Retail Analytics Metrics Mobile 132

Dynatrace

APRIL 22, 2022

With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. Additionally, PurePath provides distributed tracing with code-level detail at scale with contextual data. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 163

Cloud Lambda Serverless AWS 163

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. Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency.

Lambda 161

Lambda AWS Serverless Infrastructure 161

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch).

Lambda 287

Lambda AWS Programming Serverless 287

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226