Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS.

AWS 227

AWS Lambda Artificial Intelligence Serverless 227

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We Several team members had to pore through logs, metrics, and other data to identify issues. “We To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says.

Innovation 218

Innovation Infrastructure DevOps Azure 218

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. We start with data types—logs, metrics, traces, routes. For the latest news from Perform, check out our “ Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI.”

Artificial Intelligence 192

Artificial Intelligence Analytics Cloud Innovation 192

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 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 239

Engineering Development DevOps Infrastructure 239

Dynatrace

APRIL 1, 2021

Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer.

Azure 171

Azure AWS DevOps Cloud 171

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 186

Azure Monitoring Virtualization Metrics 186

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Creating a prototype (for example, on Azure ).

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. 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.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Tasktop

JANUARY 9, 2020

Even better, we can glean valuable end-to-end system data that can be used for higher-level business-centric Flow Metrics , empowering you to generate more business value through your software delivery. . Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all.

Software 59

Software Software Metrics Database 59

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. Enter causal AI.

AWS 207

AWS Artificial Intelligence Analytics Cloud 207

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate. Networking. Observability.

Open Source 300

Open Source Traffic DevOps Cloud 300

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. OpenShift, DevOps, and CI/CD. Enhances DevOps productivity. OpenShift 3.0 How OpenShift enhances Kubernetes.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).

Analytics 207

Analytics Monitoring Artificial Intelligence DevOps 207

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 10, 2021

Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream. Automated release inventory and version comparison.

Cloud 166

Cloud DevOps Speed Azure 166

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). When releasing into production, Gardner said it’s important to think beyond performance metrics.

Engineering 180

Engineering Development Infrastructure Cloud 180

Tasktop

JULY 17, 2019

Contrast this available telemetry with teams practicing DevOps who know their recovery time, their change failure and success rates, and their cycle times – all of which help teams identify opportunities for continuous improvement. The answer is Flow Metrics. 5 Everyday Problems Exposed by Flow Metrics.

Metrics 40

Metrics Software Software DevOps 40

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Manually pulling metrics from a managed system like Kubernetes can be laborious. DevOps teams need a solution that puts automation and observability at the forefront of microservices management.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Manually pulling metrics from a managed system like Kubernetes can be laborious. DevOps teams need a solution that puts automation and observability at the forefront of microservices management.

Architecture 244

Architecture Software Software Development 244

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The principles of cloud-native architecture. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. Serverless platforms. Service mesh.

Architecture 198

Architecture Serverless Azure Programming 198

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. It’s also being built into Kubernetes.” But one blind spot remained.

Open Source 194

Open Source Analytics Lambda Metrics 194

Dotcom-Montior

OCTOBER 19, 2021

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Terraform, along with Ansible, which we will talk about more next, are two of the most used tools for a site reliability engineer and DevOps teams. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

Tasktop

JANUARY 25, 2022

These stories exemplify the many ways your implementations are driving efficiency, improving collaboration and automating traceability throughout your organizations. . Now it’s even easier to do so from the Metrics screen. Azure DevOps: Hub will now update the Tags field with labels set in other tools.

Automotive 98

Automotive Azure DevOps Metrics 98

Dynatrace

FEBRUARY 9, 2021

All technologies and extensions provide or permit additional contexts, like user sessions and experience, interdependencies between components, or code-level information in addition to the three pillars of observability (traces, metrics, and logs). Our goal is to make this process simple, scalable, and enjoyable.

Software 143

Software Software Technology Technology 143

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. become the responsibility of AWS, GCP, or Azure.

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

MAY 31, 2021

In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work. But what is Kubernetes exactly? Where does it come from?

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Dotcom-Montior

FEBRUARY 19, 2022

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Terraform, along with Ansible, which we will talk about more next, are two of the most used tools for a site reliability engineer and DevOps teams. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. .

Efficiency 52

Efficiency Software Software Azure 52

Tasktop

APRIL 29, 2020

While DevOps applies lean manufacturing principles—through automating repeatable output to improve the deployment lead time from code commit to production—the work upstream is an entirely different ball game. And unlike an assembly line, there are myriad tools available to do the same type of IT work. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Dynatrace news. Application performance management.

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. 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