Dynatrace

APRIL 6, 2022

Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure. DevOps teams can also benefit from full-stack observability. How full-stack observability enhances IT and DevOps. Watch webinar now!

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Deterministic AI, or causal AI, automatically reveals precise links between cause and effect in real time—and takes action on these root causes before they result in performance or user experience problems downstream. DevOps/DevSecOps with AWS. 2021 DevOps Report.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. A huge advantage of this approach is speed.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

OCTOBER 14, 2022

Put simply, AI is the framework that allows systems and devices to think like humans and perform tasks without direct oversight. Why deterministic AIOps is essential for DevOps — and beyond. For more information about developing an AIOps strategy for cloud observability and how Dynatrace can help, read our eBook.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Dynatrace news. Aggregation. Streamlined product improvements.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Tasktop

FEBRUARY 3, 2021

DevOps.com has announced the honorees for the 2020 DevOps Dozen² Awards , with Carmen DeArdo—with co-author Jack Maher—winning DevOps Book of Year for their collaboration on Standing on Shoulders: A Leader’s Guide to Digital Transformation. Jack Maher and Carmen DeArdo is the Best DevOps Books / eBook of the Year.

DevOps 52

DevOps Education Speed Software Engineering 52

Dynatrace

MAY 23, 2022

Accordingly, as organizations undergo DevSecOps transformation to innovate, reduce costs, and enable dispersed teams, they need to safeguard IT systems from performance problems and security breaches. Cloud application security: The next generation – eBook. Securing cloud-native applications – eBook. Learn more.

Strategy 221

Strategy Innovation Cloud Serverless 221

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. When all these areas are as automated as possible, developers and operations teams can focus on innovation rather than performing endless administrative tasks.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. Enter causal AI. See how to use Dynatrace in your cloud migration strategy.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

MARCH 16, 2021

” While broader business deployment stems from increasingly sophisticated AI algorithms and the growing speed at which they’re able to discover new data relationships, it’s also a recognition of a new IT reality: AIOps is here to stay and improving quickly. What is the impact of AIOps on the business?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. This keeps your business performing optimally before most users even notice a glitch. And this is exactly where Dynatrace really shines.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Testsigma

JUNE 15, 2021

Globally businesses have evolved from the conventional Waterfall model to the modern Agile and DevOps, thereby embracing digital transformation. In-sprint test automation works best for agile and DevOps teams or even teams that use hybrid methodologies. Additionally, you can also grab our ebook on in-sprint test automation here.

Testing 52

Testing DevOps Mobile Testing Tools 52

Adrian Cockcroft

NOVEMBER 18, 2019

OPN303 BPF performance analysis (repeats) Learn how Netflix uses eBPF to create powerful performance analysis tools. OPN402 Firecracker open-source innovation Since Firecracker’s release at re:Invent 2018, several open-source teams have built on it, while AWS has continued investing in Firecracker’s speed.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN303 BPF performance analysis (repeats) Learn how Netflix uses eBPF to create powerful performance analysis tools. OPN402 Firecracker open-source innovation Since Firecracker’s release at re:Invent 2018, several open-source teams have built on it, while AWS has continued investing in Firecracker’s speed.

Open Source 40

Open Source AWS Lambda Serverless 40