Dynatrace

APRIL 24, 2024

To help our customers confidently navigate the complexities of the cloud and innovate faster and more securely, the Dynatrace platform must be delivered reliably. Availability guarantee of 99.95%/month for customers with an active Enterprise Success and Support subscription.

Azure 241

Azure Infrastructure Metrics AWS 241

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 236

Serverless Azure Monitoring Lambda 236

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Available as an agent installer). Application Insights – Collects performance metrics of the application code.

Azure 138

Azure Artificial Intelligence Metrics Innovation 138

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 141

Serverless Azure Monitoring Lambda 141

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. On-demand payment is the most expensive pricing option.

Best Practices 233

Best Practices Strategy Cloud AWS 233

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. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 205

Cache Azure Infrastructure Monitoring 205

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 260

Cloud Azure Analytics AWS 260

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. It’s an enterprise product that we use to help modernize the VA,” Fuqua said.

Monitoring 182

Monitoring Artificial Intelligence Performance Healthcare 182

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Dynatrace

APRIL 10, 2023

We also couldn’t compromise on performance and availability.” shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. “We monitor all services that produce metrics in the top three clouds,” he said.

Cloud 171

Cloud Ecommerce Performance Retail 171

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 182

Engineering Development Infrastructure Cloud 182

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 164

Monitoring Latency Metrics Azure 164

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. GCF is part of the Google Cloud Platform.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. Google Cloud Platform (GCP) Anthos : Users can run applications on-premises, in GCP, or with other major public cloud providers like AWS and Microsoft Azure. Dynatrace news.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

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. So, what is artificial intelligence? What is predictive AI?

AWS 210

AWS Artificial Intelligence Analytics Cloud 210

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

JULY 16, 2021

This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 244

DevOps Open Source Cloud Azure 244

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

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 177

Cloud Infrastructure Innovation Monitoring 177

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. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. Accelerated innovation. billion in 2020 to $4.1

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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 226

Cloud Serverless Hardware Operating System 226

Dynatrace

JULY 30, 2021

And, as we at Dynatrace have innovated through our CNCF project Keptn and just brought answer-driven release validation to our Dynatrace Cloud Automation solution it was easy to pick a new name for our new tour: “Cloud Automation Workshop Tour”. Hands-on 2: Codify your SLOs.

Cloud 214

Cloud DevOps Azure Virtualization 214

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 168

Cloud Lambda Serverless AWS 168

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 244

Best Practices Analytics Artificial Intelligence Infrastructure 244

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. But first, some background. Why containers? Observability.

Open Source 302

Open Source Traffic DevOps Cloud 302

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 156

Analytics Technology Technology Cloud 156

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

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 126

Architecture Open Source Azure Metrics 126

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Increased time spent on innovation.

Monitoring 149

Monitoring Mobile Social Media Artificial Intelligence 149

Dynatrace

MAY 31, 2021

Horizontal Pod Autoscaler (HPA) adjusts the number of instances or replicas based on observed metrics. If a node becomes unhealthy, Kubernetes will reschedule the workload to run on a healthy node; if a healthy node is not available, Kubernetes can spin up a new machine using cluster autoscaling. Resource optimization.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Tasktop

APRIL 29, 2020

And unlike an assembly line, there are myriad tools available to do the same type of IT work. Atlassian, Azure DevOps, and to an extent ServiceNow, provide a strong suite of tools that span the software delivery process from end-to-end. One Stack to Rule Them All? One strategy is to consolidate all your work into one stack of tools.

DevOps 69

DevOps Azure Network Efficiency 69

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).

Software 38

Software Software DevOps Best Practices 38

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. The RDS automated backup and PITR capabilities protect against data loss and system failures, ensuring high availability and performance while simplifying backup management for developers and DBAs.

AWS 52

AWS Database Serverless Storage 52

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. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.

Architecture 52

Architecture Cache Azure Storage 52