Dynatrace

MAY 17, 2022

This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. A look to the future.

Availability 322

Availability Scalability Cloud Metrics 322

Dynatrace

NOVEMBER 24, 2020

Allowing architectures to be nimble and evolve over time, allowing organizations to take advantage of innovations as a standard practice. Stay tuned. AWS 5-pillars. Well-Architected Framework design principles include: Using data to inform architectur al choices and improvements over time. Fully conceptualizing capacity requirements.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Actionable analytics across the?entire stay tuned?for

Lambda 214

Lambda Serverless AWS Mobile 214

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. There’s no doubt PostgreSQL provides a solid foundation for innovative development.

Open Source 76

Open Source Healthcare Social Media Database 76

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. But first, some background. Why containers? Watch webinar now!

Open Source 307

Open Source Traffic DevOps Cloud 307

The Netflix TechBlog

MARCH 7, 2019

To unlock these innovations we are making a strategic choice that our focus should be geared towards developing the surrounding infrastructure so that scientists’ work can be easily absorbed into the wider Netflix Experimentation Platform. B) Efficient use of memory We should optimize for sparse linear algebra.

Engineering 174

Engineering Design Innovation Java 174

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. CORE The CORE team uses Python in our alerting and statistical analytical work. We are proud to say that our team’s tools are built primarily in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. One single platform drives efficient DevSecOps collaboration and automated vulnerability management. Stay tuned – this is only the start.

Cloud 294

Cloud Open Source Internet Internet 294

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Today, security teams often employ SIEMs for log analytics. In the future you will see even more innovation from Dynatrace in this space so please stay tuned.

Government 231

Government DevOps Infrastructure Network 231

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

High Scalability

NOVEMBER 25, 2019

Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. For permissions data, we have rearchitected that layer many times and recently we wrote a TRIE to cache this efficiently. Do you implement web analytics?

Architecture 52

Architecture Cache Azure Storage 52