Dynatrace

DECEMBER 2, 2021

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers. Help with decision making.

Metrics 189

Metrics Best Practices DevOps Infrastructure 189

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Talk by the team that is actually working on reducing the carbon footprint of AWS.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models.

DevOps 193

DevOps Analytics Airlines Metrics 193

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware.

Serverless 263

Serverless Infrastructure Innovation DevOps 263

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. However, digital transformation requires significant investment in technology infrastructure and processes. Digital tools and technologies provide a more efficient way of doing things.

Strategy 174

Strategy Retail DevOps Education 174

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. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 210

Artificial Intelligence DevOps Innovation Metrics 210

Dynatrace

SEPTEMBER 28, 2020

to help enterprises go from seeing a problem to understanding where it came from – connecting application workloads, infrastructure, and digital experience, in ways that few other players in the market can offer.” . The company has invested significantly in providing a single-pane-of-glass experience ?

Cloud 244

Cloud Serverless Innovation Architecture 244

Dynatrace

JANUARY 31, 2022

As a result, instead of losing issues in the noise, DevOps and engineering teams can pinpoint problems and optimize performance across serverless platforms to deliver better software. Simply put, cloud-based serverless architecture helps teams maximize performance while also reducing the cost of maintaining IT infrastructure.

Serverless 175

Serverless Architecture Open Source Innovation 175

Dynatrace

SEPTEMBER 21, 2023

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions. This adoption will further impact carbon emissions.

Energy 232

Energy Cloud Airlines Strategy 232

Dynatrace

OCTOBER 5, 2022

The Cybersecurity and Infrastructure Security Agency (CISA) and National Cybersecurity Alliance (NCA) state that cyber security is truly about the people. DevSecOps builds on existing DevOps culture and practices, integrating security into every step of the software development lifecycle. What does that mean?

Best Practices 192

Best Practices Education Monitoring Government 192

Dynatrace

APRIL 5, 2021

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 191

Artificial Intelligence Open Source Cloud Analytics 191

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Cloud Usage Waxing, not Waning.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JUNE 1, 2021

Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Alex Russell

MAY 9, 2022

through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it. These organisations may perform incidental data collection (from business analytics tools, e.g.) but are inconsistently reviewing performance metrics or considering them when formulating KPI s and OKR s. Photo by von Vix.

Performance 86

Performance Latency Metrics Engineering 86

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. There are 200 Engineers(DevOps/OPS/QA/Developers/…), the rest are sales, marketing, support, product management, HR, etc. It's a big team, we have Product managers, UX team, DevOps, scrum teams, architects, engineers performing various roles. Video Transcoding. Permissions. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52