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. Azure Functions in a nutshell. Dynatrace news.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JANUARY 23, 2024

Perform serves yearly as the marquis Dynatrace event to unveil new announcements, learn about new uses and best practices, and meet with peers and partners alike. Innovation and cloud modernization aren’t luxuries; they’re the heartbeat of progress.

Cloud 207

Cloud Artificial Intelligence Performance AWS 207

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Legacy Profiler "Standard" trace events.

Azure 96

Azure Database Tuning Network 96

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS. We’re using automation to kick off scaling events,” he said. “We

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

Dynatrace

JANUARY 31, 2024

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. Organizations need to stay on top of AI developments, and AI adoption is not a one-time event for which they can plan.

Cache 201

Cache Azure Infrastructure Monitoring 201

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 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. It only costs about $.01

Cloud 165

Cloud Lambda Serverless AWS 165

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. Progressive delivery Next up, Adam Gardner, staff engineer at Dynatrace, talked about using observability for faster innovation in production to enhance new releases.

Engineering 178

Engineering Development Infrastructure Cloud 178

Dynatrace

NOVEMBER 20, 2023

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using AWS re:Invent 2023: Cloud migration and digital transformation with observability For IT teams seeking agility, cost savings, and faster innovation, a cloud migration strategy is critical. Enter causal AI.

AWS 205

AWS Artificial Intelligence Analytics Cloud 205

Dynatrace

JULY 30, 2021

With all the technology changes through the past three years, with the world moving to K8s, the rise of GitOps, everything as code, event-driven automation, and many new open standards in the cloud-native space, it was time to update our workshop. Hands-on 2: Codify your SLOs. Extras: SLOs & release inventory.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Accelerated innovation.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. What is Google Cloud Functions? GCF is part of the Google Cloud Platform.

Google 218

Google Cloud Serverless Azure 218

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 161

Monitoring Latency Metrics Azure 161

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Modern operating systems provide capabilities to observe and report various metrics about the applications running. The last aspect is the centralization of compute.

Cloud 223

Cloud Serverless Hardware Operating System 223

Dynatrace

AUGUST 21, 2023

Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event. How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. It’s also being built into Kubernetes.” But one blind spot remained.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

OCTOBER 30, 2023

In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics. Examples of how you can use custom fields in policies include associating policies to usernames, team names, cloud regions, Amazon Web Services accounts, Azure subscriptions, or Google Cloud Platform projects.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

JULY 16, 2021

The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project. If you want more information on Keptn, then I suggest joining the Keptn Open Source community and help us drive innovation that benefits both the open-source project and Dynatrace Cloud Automation Solution.

DevOps 243

DevOps Open Source Cloud Azure 243

Dynatrace

APRIL 15, 2022

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” “We have a rich metric expression language.

Cloud 173

Cloud Infrastructure Innovation Monitoring 173

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Event logs for ad-hoc analysis and auditing. Why containers?

Open Source 297

Open Source Traffic DevOps Cloud 297

Dynatrace

JULY 9, 2020

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. This is now where Keptn, our Event-Driven Control Plane for Autonomous Cloud Control Plane, comes into the picture! Dynatrace news.

Cloud 184

Cloud DevOps Azure Architecture 184

Dynatrace

NOVEMBER 22, 2021

In this section, we explore how cloud observability tools differ from traditional monitoring: cloud-native observability platforms identify the root causes of anomalous events and provide automated incident response. Not just logs, metrics and traces. But most of that budget goes toward running the business—not software innovation.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

APRIL 30, 2019

Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. The following shows how to evaluate a deployment score based on metrics from Prometheus and Dynatrace. Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions. Pitometer is a Node.js

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Increased time spent on innovation. When this happens, it becomes more difficult to find the most important events taking place within your application infrastructure.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. CFS(cloud file system), EOS (Egnyte object store), Content Security, Event Sync, Search Service, User behavior based recommendation service form major parts of the system. Data interdependence. Level of concurrent reads.

Architecture 52

Architecture Cache Azure Storage 52

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. Stories in Jira automatically synchronize over as functional requirements in qTest Manager for test design. Learn more.

Development 45

Development DevOps Google Innovation 45

Dynatrace

NOVEMBER 25, 2019

Let’s take a look at two key indicators from our 2018 Dynatrace ACM Survey: MTTI (Mean Time to Innovate): How long does it take to push a new feature that is fully tested, ready to go to production, until end-users receive it? You’ll discover how to integrate Dynatrace into a configuration change (e.g. Jira, Slack, MS Teams).

DevOps 38

DevOps Software Software Best Practices 38

Tasktop

OCTOBER 30, 2019

Scott Havens, Senior Director of Engineering at Mode Operandi, highlighted the benefits of event-based systems over legacy approaches, and how software architecture should be just as beautiful as the clothes on sale. Auditors – a powerful asset to help you innovate . Photo credit: @DOES_USA.

DevOps 8

DevOps Education Innovation Metrics 8