Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. Development and DevOps. Therefore, teams need a unified, intuitive approach to data aggregation and analysis.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 222

DevOps Traffic Efficiency Servers 222

Dynatrace

FEBRUARY 16, 2023

In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

JULY 10, 2023

In its 2023 Magic Quadrant for APM and Observability, Gartner named Dynatrace a Leader positioned highest for Ability to Execute and furthest for Completeness of Vision, respectively. Director of infrastructure, software sector “ Strong technology and stronger people. Download the 2023 Gartner Magic Quadrant for APM and Observability.

Monitoring 222

Monitoring Retail Performance Government 222

Dynatrace

FEBRUARY 15, 2023

And operations teams need to forecast cloud infrastructure and compute resource requirements, then automatically provision resources to optimize digital customer experiences. In addition to the low-code/no-code AutomationEngine, Dynatrace announced a host of platform enhancements at Perform 2023 in Las Vegas. All rights reserved.

Code 214

Code DevOps Cloud Analytics 214

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. However, digital transformation requires significant investment in technology infrastructure and processes. Digital tools and technologies provide a more efficient way of doing things.

Strategy 177

Strategy Retail DevOps Education 177

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 262

Innovation Software Software Artificial Intelligence 262

Dynatrace

JANUARY 23, 2024

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. In 2023, organizations mostly used these services as a technology disruptor and capability enabler.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

JULY 25, 2023

Generative AI drives productivity through AI-powered analytics and automation for all members of your organization. Autoremediation workflows or automated integrations with ChatOps, DevOps, and ITSM tools have never been easier. Davis CoPilot™ will be available later in 2023 as a core technology within the Dynatrace platform.

Best Practices 235

Best Practices Analytics Metrics Code 235

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware.

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … Because we all [have] constrained IT resources, we can’t just continue to ship new applications and new infrastructure with the same number of resources and expect a good outcome. ….

Artificial Intelligence 196

Artificial Intelligence Analytics Cloud Innovation 196

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. In the next blog post, we’ll discuss the integration of security modules into the DevOps process with the aim of achieving DevSecOps.

DevOps 205

DevOps Metrics Engineering Analytics 205

Dynatrace

SEPTEMBER 21, 2023

How Dynatrace tracks and mitigates its own IT carbon footprint Like many tech companies, Dynatrace is experiencing increased demand for its SaaS-based Dynatrace platform , which we host on cloud infrastructure. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions.

Energy 236

Energy Cloud Airlines Strategy 236

Dynatrace

AUGUST 21, 2023

“For the first time, we have a consistent API to gather this data across many different languages and a consistent protocol for all these signals,” said Michael Kopp, application observability product lead at Dynatrace, during a recent talk at Perform 2023. It’s also being built into Kubernetes.” We also believe in OpenTelemetry.

Open Source 198

Open Source Analytics Lambda Metrics 198

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. The release cadence is rapid, sometimes daily or even multiple times per day.

Cloud 179

Cloud Open Source Architecture Monitoring 179

Testsigma

FEBRUARY 12, 2021

The latest trend in hyperautomation – Gartner projects that by the year 2023, 25% of tasks by the organisations will be able to perform autonomously and hence reducing the cost. Although this QA automation approach is one of the newest developments in DevOps for 2021, early and end-to-end research would most likely thrive.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92