Dynatrace

MARCH 18, 2024

Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately. Our unwavering commitment to open source initiatives underscores our mission to foster transparency, collaboration, and innovation.

Scalability 259

Scalability Open Source Analytics Innovation 259

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 272

Efficiency Performance Analytics DevOps 272

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Resilient, high-performing technology ecosystems that accelerate innovation through faster development cycles.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

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 258

Cloud Azure Analytics AWS 258

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 228

DevOps Innovation Infrastructure Analytics 228

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 154

Analytics Technology Technology Cloud 154

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

APRIL 11, 2023

Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots – blog DevSecOps Lifecycle Coverage with Snyk, a new app developed with Dynatrace® AppEngine, enables teams to mitigate security risks across pre-production and production environments, including runtime vulnerability detection, blocking, and remediation.

Cloud 183

Cloud DevOps Open Source Retail 183

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 197

Monitoring Software Software DevOps 197

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Log Metrics. Dynatrace is committed to innovation and leading the way in cloud computing.

AWS 214

AWS Transportation Network Traffic 214

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 246

Artificial Intelligence Serverless Analytics Innovation 246

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 301

Engineering DevOps Innovation AWS 301

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 313

Availability Scalability Cloud Metrics 313

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

SEPTEMBER 22, 2021

Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data. Application performance monitoring has a strong focus on specific metrics and measurements. Application performance management. What is the impact of APM on the business?

Innovation 201

Innovation Open Source Monitoring Infrastructure 201

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. The post AWS observability: AWS monitoring best practices for resiliency appeared first on Dynatrace blog. And why it matters. Amazon EKS.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Dynatrace extends contextual analytics and AIOps for open observability. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. But most of that budget goes toward running the business—not software innovation.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

SEPTEMBER 7, 2022

When it comes to dynamic cloud environments, Dynatrace is also an innovator in “modern cloud done right.” automating ingestion of logs, metrics, and traces and continuous dependency mapping with precise context across hybrid and multicloud environments. Check out our Power Demo: Log Analytics with Dynatrace.

Traffic 212

Traffic AWS Network Cloud 212

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 243

Cloud Serverless Innovation Architecture 243

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 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Our employees listen carefully to our customers and innovate continuously. This combination sets us apart. .

DevOps 240

DevOps Innovation Monitoring Analytics 240

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. Serverless can accelerate innovation (and introduce blind spots). See your AWS serverless workloads in full context with customer experience and business outcome metrics. Dynatrace Davis AI.

Lambda 205

Lambda Serverless AWS Mobile 205

All Things Distributed

NOVEMBER 15, 2016

Powered by Innovation. QuickSight is built on a large number of innovative technologies to get a business user their first insights fast. Here are a few of the key innovations that power QuickSight: SPICE : One of the key ingredients that makes QuickSight so powerful is the Super-fast, Parallel, In-memory Calculation Engine (SPICE).

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

OCTOBER 8, 2020

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). Fully integrated with existing Dynatrace capabilities for AWS Lambda, including metric ingestion via AWS Cloud Watch.

Lambda 291

Lambda AWS Programming Serverless 291

Edge Perspectives

JANUARY 21, 2019

I recently wrote a blog post suggesting that the ultimate test of transformation is whether the caterpillar became a butterfly – is it so different that it’s unrecognizable? It’s Martin Luther King Day in the US and I can’t think of a better day to declare that I have a dream and to explore that dream in a blog post.

Innovation 104

Innovation Scalability Efficiency Mobile 104

Dynatrace

JULY 5, 2022

Increased business innovation. If IT teams spend the bulk of their time responding to alerts and dealing with false positives, there’s little time for innovation. But AIOps also improves metrics that matter to the bottom line. million per year by automating key processes. Expanded collaboration.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

AUGUST 31, 2020

This marks the fifth consecutive year Dynatrace has appeared on Constellation’s ShortList of DPM leaders, further validating Dynatrace’s commitment to innovating and disrupting the DPM space with our Software Intelligence Platform and AI-engine, Davis. The challenge – and business-critical importance – of mastering DPM.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

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 164

Lambda AWS Serverless Infrastructure 164

Dynatrace

OCTOBER 14, 2021

A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. When all these areas are as automated as possible, developers and operations teams can focus on innovation rather than performing endless administrative tasks.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

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 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

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. After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. It only costs about $.01

Cloud 166

Cloud Lambda Serverless AWS 166

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 234

Serverless Azure Monitoring Lambda 234

Dynatrace

JULY 30, 2020

This s ingle source of truth for all your data means less time troubleshooting and more time innovating.? . User experience and business analytics – Dynatrace extends the Software Intelligence Platform to the edge device and API to drive e xperience and outcomes that matter. hybrid and?multi multi – cloud?environments,

Government 209

Government Analytics Cloud Infrastructure 209

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? Help with decision making. How SLOs work.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

FEBRUARY 2, 2022

According to Google G-Suite researchers , a good availability metric should be meaningful (captures user experience), proportional (change in the metric should be proportional to the change in user-perceived availability), and actionable (insight into why the metric is low or high). Let’s take service availability for example.

DevOps 192

DevOps Metrics Best Practices Latency 192