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. Accordingly, these platforms provide a unified, consistent DevOps and IT experience. Hybrid capabilities extend beyond what a private data center—and in-house IT and DevOps teams—can provide.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

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. Using GCF within a video analysis workflow. What is Google Cloud Functions? GCF use cases.

Google 227

Google Cloud Serverless Azure 227

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. The time and effort saved with testing and deployment are a game-changer for DevOps. Anomaly detection and precise root-cause-analysis for fast remediation. Event logs for ad-hoc analysis and auditing. Why containers?

Open Source 307

Open Source Traffic DevOps Cloud 307

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 261

Cloud Azure Analytics AWS 261

Dynatrace

FEBRUARY 28, 2024

VAPO is available in both Microsoft Azure and AWS. Dynatrace artificial intelligence (AI) -powered root cause analysis brings real-time insights and actionable answers to fix issues, automating operations so the VAPO team can focus on innovation. “We

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Dynatrace had already become their one-stop-shop for observability analysis, and they didn’t want to introduce a new data silo. So they turned to OpenTelemetry, which provided a GraphQL plugin.

Open Source 202

Open Source Analytics Lambda Metrics 202

Dynatrace

MARCH 22, 2022

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. ” Roadmap.

Infrastructure 232

Infrastructure Cloud Java Azure 232

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. 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 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. The release cadence is rapid, sometimes daily or even multiple times per day.

Cloud 182

Cloud Open Source Architecture Monitoring 182

O'Reilly

FEBRUARY 18, 2020

Also: infrastructure and operations is trending up, while DevOps is trending down. Along with R , Python is one of the most-used languages for data analysis. In the generic software architecture topic, usage in the containers topic increased in our 2019 analysis, growing by 17%. Coincidence?

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

Alex Podelko

JUNE 12, 2019

If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in Azure DevOps will be retired. Well, yes and no. I am not so upbeat as I was in 2014. Open Source.

Testing 243

Testing Open Source Testing Tools Performance Testing 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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. But what is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JULY 9, 2020

Besides our early adopter success stories, from avodag AG or amasol , we have seen lots of great innovation from Christian Heckelmann at eResearchTechnology (ERT), who integrated Keptn Quality Gates into their GitLab Pipeline which automates up to 90% of otherwise manual build approval tasks.

Cloud 192

Cloud DevOps Azure Architecture 192

Dynatrace

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. Increased time spent on innovation.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

NOVEMBER 25, 2019

In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.

DevOps 38

DevOps Software Software Best Practices 38

SQL Server According to Bob

OCTOBER 26, 2017

Analysis Services Innovations in SQL Server 2017. Microsoft Data Platform – SQL Server 2017 and Azure Data Services. Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database. DevOps: CI/CD with Microsoft SQL Server 2017. SQL Server 2017 on Windows Linux and Docker is now generally available.

Servers 40

Servers Azure Open Source Database 40

Tasktop

MARCH 16, 2021

As VSM becomes the de facto way to master software delivery at scale to accelerate digital innovation, it’s vital that you’re able to generate a specific set of value stream metrics to measure your software delivery against clear business results in real-time. Access bottleneck analysis to find constraints impacting overall output .

Metrics 52

Metrics Healthcare Automotive Innovation 52

Tasktop

MARCH 16, 2021

As VSM becomes the de facto way to master software delivery at scale to accelerate digital innovation, it’s vital that you’re able to generate a specific set of value stream metrics to measure your software delivery against clear business results in real-time. Access bottleneck analysis to find constraints impacting overall output .

Metrics 40

Metrics Healthcare Automotive Innovation 40

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