Remove Analytics Remove DevOps Remove Strategy
article thumbnail

5 considerations when deciding on an enterprise-wide observability strategy

Dynatrace

As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders. But first, there are five things to consider before settling on a unified observability strategy.

Strategy 243
article thumbnail

New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time.

Analytics 289
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.

article thumbnail

Unlock the power of contextual log analytics

Dynatrace

Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks.

Analytics 304
article thumbnail

How Mitchells & Butlers brought the business together with DevOps metrics from Dynatrace

Dynatrace

DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal.

DevOps 264
article thumbnail

Boost DevOps maturity with observability and a data lakehouse

Dynatrace

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. 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.

DevOps 246
article thumbnail

A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer.

Strategy 264