Newly published research of 300 federal government employees reveals good and less-good news about the state of both Civilian and Defense agency IT modernization. Cloud adoption is finally accelerating, with cloud computing topping the list of investment expenditures projected for next 12-18 months.
We will give you a detailed introduction to the Extension 2.0 framework architecture, best practices and give hands-on examples on how Dynatrace users can leverage this extension capability.
Service Level Objectives (SLOs) are gaining a lot of traction amongst DevOps and SRE Teams as they are used to hold them accountable when deploying and operating applications and services.
Dynatrace Davis was always in unique position for automated root cause analysis due to the rich high-fidelity data (metrics, logs, events) and contextual topology information (Smartscape) captured by Dynatrace OneAgent.
The cloud native community provides a constant stream of amazing new projects enabling new ways to leverage k8s for our current and future workloads. Dynatrace is keeping pace with the observability and automation demands of DevOps and SRE by leveraging the latest k8s APIs to ingest and analyse all pillars of modern observability: logs, metrics, traces, events and more … - Jaeger and OpenTelemetry to collect distributed traces
Kubernetes continues to be one of the fastest growing platforms within the Enterprise. With apps growing larger and more complex by the day, IT teams will require tools to help manage these deployments. This makes it absolutely critical that Application and Operations teams have complete Observability into every aspect of the platform. Join Wayne Segar, Principal Architect at Dynatrace, on Monday, September 27th to see how Dynatrace takes a unique approach to providing best in class Kubernetes Observability.
Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation for many state/local agencies. With advanced observability, AI, and complete automation, our all-in-one platform provides answers, not just data, about the performance of applications, the underlying infrastructure, and the experience of all users. In this webinar, you will learn how Dynatrace and Red Hat® Ansible® Automation Platform automatically detect and resolve incidents in your environment, including performance issues – without manual intervention.
For decades, logs have been the only way to understand how your application works — and even in the modern days of cloud observability, they are as important as ever. However, management of logs in many distributed components has become a challenge on its own — starting with log collection from many sources, understanding where they belong and which log entry actually indicates a problem.
Serverless adoption is accelerating as companies embrace modern application architectures. Modernization brings compelling business benefits including faster release cycles, cost savings and accelerated innovation, but the dynamic nature of serverless functions puts significant strain on traditional observability solutions.
To understand the three pillars of observability, organizations need a grapple on logs, metrics and traces. While it is true that these three factors are very important data sources, alone they don’t provide full observability. In order to optimize their environments, organizations need to dive deeper by injecting automation, AI and end user experience into the pillars of observability to help drive scale and efficiency.
When is a technical problem a business problem? Wouldn’t it be great if you always knew the answer to that question? That’s exactly what Dynatrace Business Analytics delivers. Register for our upcoming Power Demo, Dynatrace and Business Observability: Tying IT Metrics to Business Outcomes, on Wednesday, July 21.
In this Performance Clinic, Daniela Rabiser, Technical Product Manager at Dynatrace and Wayne Segar, Sales Engineer at Dynatrace, will show how Dynatrace helps IT operations teams and Site Reliability Engineers to leverage OpenTelemetry data to gain end-to-end observability insights in the different scenarios.
Episode 4 focuses on Runtime Optimization. We will learn how to analyze Memory Allocation issues on a release. We will understand the impact of Garbage Collection, the allocated objects and where are these objects coming and its size in Memory. We will deep dive more in CPU issues, how to analyze them from the bottom up,, from the Host and process all the way to the calling methods and test steps. Finally we will analyze a threading issue and the impacted transactions.
The ongoing pandemic has changed the way we work, play and interact forever. In turn, it has sparked a rapid pivot to digitalisation like never before. Governments and businesses alike are turning to technology to solve problems and innovate services. Register for GovInsider’s webinar on 30 June, 11:30am SGT / 1:30pm AEST to find out how Asia-Pacific’s leading governments & tech innovators are scaling for a hyper-digitalised world and insights you can adopt instantly. Guest panellists include NHB Singapore and Australian Registry of Births, Deaths and Marriage.
In Episode 3, Sergio Hinojosa focuses on Automated Release Comparison. We will learn the foundations of Load Test Analysis with Dynatrace. We will compare failed releases that did not pass the Quality Gate due performance degradations. We will show how easy it is to compare functional performance tests with each other learning how Dynatrace can pinpoint the degradations up to code-level through the application stack. We will even decompile the code to understand the root cause of a bad implementation whether it is a bad algorithm or thread synchronization issue. Register now
In this session, you will learn first-hand how 1000’s of Cloud Architects, Cloud Operations leaders and SRE teams from the world's leading organisations have taken advantage of this “concerto” and are working in partnership with Dynatrace &
In this Performance Clinic Henrik Rexed, Cloud Native Advocate at Dynatrace, will explain how Dynatrace is securely scraping data from Prometheus, scaling without adding extra load to your Prometheus server and connecting the Prometheus data with Smartscape topology.
In this Performance Clinic Michal Dec, Sr. Technical Product Manager, will walk us through Dynatrace’s log monitoring and analytics capabilities with a specific focus on k8s and cloud-native architectures. You will learn about the different use cases for your Cloud Ops, SREs and development teams that Dynatrace’s Davis AI enables in your hybrid cloud environments.
In Episode 2, Sergio Hinojosa, focuses on automating the testing and evaluation of your code in your dev & test environment. Sergio has extended his CodeLabs with Automated REST API Testing and Automated Dynatrace data analysis through Intelligent SLO-based Quality Gates. This episode will help you level up your quality gates on every code commit.
Learn how avodaq is delivering faster value to its customers, how the open source Keptn project evolved, and ultimately how the Dynatrace cloud automation solution was created to benefit organisations worldwide to successfully scale DevOps.
In this Performance Clinic Christian Schram, Mgr Sales Engineering at Dynatrace, will introduce you on how to capture custom data from a Mainframe application on top of what is provided by the Mainframe agents automatically. This allows you to leverage business related Mainframe data in the Dynatrace platform.
