Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Watch webinar now!

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 246

Artificial Intelligence Serverless Analytics Innovation 246

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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. Organizations are increasingly turning to these cloud environments to stay competitive, remain agile, and grow. Without visibility, application performance and security are easily compromised.

Analytics 227

Analytics Metrics Cloud Systems 227

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. Cloud services, mobile applications, and microservices-based application environments offer unparalleled flexibility for developers and users.

Infrastructure 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

Dynatrace

JUNE 15, 2021

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. Fact #2: No significant impact on Dynatrace Users.

AWS 186

AWS Traffic Architecture Azure 186

Tasktop

APRIL 30, 2019

Whether it’s a result of different teams or lines of business within the same company on separate instances, or even a merger or acquisition, you see different flavors of the multi-Jira architecture: Split across Jira server and Jira Cloud. Split across Jira Data Center and Jira Cloud instances.

Cloud 71

Cloud Servers Analytics Architecture 71

Dynatrace

DECEMBER 2, 2021

Watch webinar now! Cloud-native software and its supporting tools and infrastructure generate a diversity of metrics and data points every second that indicate a system’s state and performance. For example, an objective for system availability can be: 90% – one 9. Watch webinar now! How SLOs work.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

NOVEMBER 15, 2021

But cloud transformation makes detecting the epicenter of a failure much more challenging, as outages can be caused by your cloud provider, a third party helping deliver personalized experiences, your content delivery network (CDN), and many other services you may be leveraging. Watch webinar now!

Mobile 213

Mobile Social Media Monitoring Metrics 213

Dynatrace

OCTOBER 4, 2021

When choosing an API monitoring tool, keep in mind that not all have the same breadth of functionality or depth of analytic capabilities. Watch webinar now! Testing helps prevent bugs from being released into production code while monitoring helps to identify failures or performance issues when code is running in production.

Monitoring 175

Monitoring Latency Metrics Availability 175

Dynatrace

OCTOBER 14, 2021

These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues. This contrasts stochastic AIOps approaches that use probability models to infer the state of systems. Why is AIOps needed? Autonomous operations.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

VoltDB

JUNE 29, 2017

This allows publishers to establish a “premium” auction instead of the typical real-time bidding system. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill. Open source analytics tools can give you this information – but not in real-time.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

This allows publishers to establish a “premium” auction instead of the typical real-time bidding system. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill. Open source analytics tools can give you this information – but not in real-time.

Performance 40

Performance Hardware Latency Infrastructure 40

All Things Distributed

OCTOBER 25, 2018

Expanding the AWS Cloud—An AWS Region is coming to South Africa! With the AWS based system, Exatype can do this at a fraction of the cost. Many of our startup customers in Africa are leveraging the AWS Cloud to grow into successful global businesses. AWS is committed to South Africa's transformation.

AWS 167

AWS Cloud Education Programming 167

The Agile Manager

MAY 7, 2010

So do Podcasts and webinars for that matter. How many different booking systems have your frequent flier numbers, know that you prefer an aisle to a window, and know that you prefer a vegetarian meal on long-haul flights? And how much of that has changed since you last edited your profile in each of those systems?

Storage 40

Storage Internet Internet Mobile 40