Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JUNE 9, 2023

Research has found that 99% of organizations have embraced a multicloud architecture. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects. There’s also a potential scalability challenge with metrics in the context of microservices architectures.

DevOps 189

DevOps Analytics Storage Metrics 189

Dynatrace

OCTOBER 15, 2021

OpenTelemetry reference architecture. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. Metrics originate from several sources including infrastructure, hosts, and third-party sources. Watch webinar now! Source: OpenTelemetry Documentation.

Open Source 224

Open Source Metrics Cloud Transportation 224

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

APRIL 20, 2021

Do banks have the infrastructure, resources, and expertise to make a solid digital transformation? Technology strategies and legacy technologies are another big challenge for banks. Many banks’ digital initiatives are held back by their technology strategy and legacy technologies: Ancient core solutions need complex enhancements.

FinTech 140

FinTech Entertainment Strategy Games 140

Dynatrace

NOVEMBER 15, 2021

Working on a customer win-back strategy is cost-intensive and not always fruitful, which makes having an excellent DX more crucial than ever. DEM helps teams understand the context of what’s going on amid the interactions happening across the multitude of apps, services, and infrastructure of your multicloud environment.

Mobile 222

Mobile Social Media Monitoring Metrics 222

Dynatrace

JANUARY 31, 2022

Why shift-right is critical for microservice architecture. This strategy is named for the canaries that miners use to lower into coal mines to detect toxic gases. Watch webinar. As a result, teams get more comprehensive testing coverage that better addresses user experience concerns. Canary releases.

DevOps 202

DevOps Testing Monitoring Speed 202

VoltDB

NOVEMBER 10, 2017

This starts bloating the infrastructure needs by 50% to 90% depending on the number of layers added. On top of this, add in the people to manage such large infrastructure and the data center costs associated with such a large footprint i.e. power, cooling, real estate, etc.

Database 40

Database Latency Architecture Open Source 40

VoltDB

NOVEMBER 10, 2017

This starts bloating the infrastructure needs by 50% to 90% depending on the number of layers added. On top of this, add in the people to manage such large infrastructure and the data center costs associated with such a large footprint i.e. power, cooling, real estate, etc.

Database 40

Database Latency Architecture Open Source 40

Percona

SEPTEMBER 1, 2023

To address these challenges, architects must design robust and scalable MongoDB databases and adopt appropriate sharding strategies that can efficiently handle increasing workloads while ensuring continuous availability. Learn more: View our webinar on How to Scale with MongoDB. What is sharding in MongoDB?

Best Practices 70

Best Practices Traffic Database Servers 70

Smashing Magazine

NOVEMBER 22, 2021

Implementing this change enabled us to take major steps such as updating our infrastructure along with completely rewriting our core functionality from the ground up. And that in order to achieve this strategy implementing a culture of performance throughout the organization is a must. Upgrading Our Services And Infrastructure.

Website 126

Website Performance Google Media 126

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. MongoDB data modeling: Understand embedding vs. referencing data MongoDB offers two strategies for storing related data: embedding and referencing. The report focuses on MySQL, but it is valid for MongoDB as well.

Best Practices 52

Best Practices Design Tuning Database 52