Dynatrace

JANUARY 31, 2024

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. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 187

DevOps Analytics Airlines Metrics 187

Dynatrace

AUGUST 7, 2023

Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently.

DevOps 175

DevOps Analytics Best Practices Java 175

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 201

Artificial Intelligence DevOps Innovation Metrics 201

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 183

Best Practices Education Monitoring Government 183

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 180

Metrics Best Practices DevOps Infrastructure 180

Dynatrace

MARCH 16, 2021

Despite these investments, these organizations have complete visibility into just 11% of the applications and infrastructure in their environments. It takes times to train statistics-based machine learning solutions, and this approach doesn’t scale easily with modern, dynamic cloud-native environments.

Artificial Intelligence 183

Artificial Intelligence Open Source Cloud Analytics 183

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, ‍Terraform is a revolution in the way we handle infrastructure. Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp.

Open Source 52

Open Source DevOps AWS Infrastructure 52

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. However, 17% of organizations operate security separately from DevOps, lacking any DevSecOps initiatives.

Cloud 77

Cloud Open Source Strategy Best Practices 77

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, What Exactly is Terraform?‍Terraform Terraform is a revolution in the way we handle infrastructure. This level of granularity is not found in UI-managed systems.

Open Source 40

Open Source DevOps AWS Infrastructure 40

Adrian Cockcroft

JUNE 2, 2023

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. CtrlStack are building AI driven DevOps automation tools and they showed a few examples. Tristan Zajonc, CEO of Continual.ai

Social Media 98

Social Media Innovation Open Source Entertainment 98

Testsigma

SEPTEMBER 15, 2021

It’s best to go for a tool that handles training and onboarding so we can quickly learn. Besides, it comes with comprehensive training and a knowledge base that helps in learning the tool. Cloud-based tools are designed for teams with agile and DevOps cultures, and these tools offer speed by expediting testing in several ways.

Cloud 79

Cloud Testing Testing Tools Website 79

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

Testsigma

JULY 31, 2021

From learning and upgrading to staffing and infrastructure — there are plenty of costs involved. If you can manage infrastructure costs that include devices, machines, storage, etc., But if you’re a startup or don’t have the budget for in-house infrastructure, we recommend going for a cloud-based testing tool.

Mobile 52

Mobile Software Software Testing 52

Dynatrace

JUNE 25, 2019

Despite these efforts and investments, most IT leaders would admit they are not solving problems fast enough and their need for speed is exponentially magnified in the digital world we live in of today. end users, applications, transactions, infrastructure, synthetics and logs). Is AIOps the answer? Improved sensory system.

Monitoring 100

Monitoring Speed Technology Technology 100

Alex Russell

MAY 9, 2022

Teams looking to grow past Level 1 develop (or uncover they already had) Real User Monitoring (" RUM data") infrastructure in previous cycles. This also requires an investment in infrastructure and continuous monitoring. At Level 5, serious training and guardrails are required to integrate new talent.

Performance 86

Performance Latency Metrics Engineering 86

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Infrastructure Optimization. There are 200 Engineers(DevOps/OPS/QA/Developers/…), the rest are sales, marketing, support, product management, HR, etc. Permissions.

Architecture 52

Architecture Cache Azure Storage 52