Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In my previous blog post, Path to NoOps part 1: How modern AIOps brings NoOps within reach, I explored the aspirations of NoOps and how modern AIOps makes it possible. Infrastructure-as-code. But how does it work in practice?

Infrastructure 164

Infrastructure Code Cloud DevOps 164

Dynatrace

MAY 4, 2021

Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.

Infrastructure 171

Infrastructure Monitoring Artificial Intelligence Cloud 171

Dynatrace

MARCH 22, 2021

In an age when people freely share even their most sensitive personal data on many online apps and services, we have grown to expect businesses will protect this information during any engagement or transaction. DevSecOps is the practice of integrating security into the DevOps workflow. Dynatrace news.

DevOps 150

DevOps Speed Infrastructure Software 150

Dynatrace

SEPTEMBER 28, 2021

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

DevOps 189

DevOps Metrics Traffic Efficiency 189

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. 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. Dynatrace news. Beginnings of BizDevOps. Security integration.

DevOps 202

DevOps Metrics Virtualization Strategy 202

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

NOVEMBER 18, 2020

DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. What is DevOps? DevOps looks to eliminate these silos by creating a combined process that focuses on visibility-powered collaboration.

DevOps 198

DevOps Infrastructure Open Source Software 198

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Dynatrace provides several ways to ingest data from external data sources. Dynatrace news.

DevOps 193

DevOps Social Media Mobile Metrics 193

Dynatrace

OCTOBER 13, 2021

Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services. Dynatrace news.

Infrastructure 162

Infrastructure Open Source Virtualization Operating System 162

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 185

DevOps Testing Monitoring Speed 185

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 190

DevOps Testing Monitoring Speed 190

Dynatrace

DECEMBER 2, 2020

As the new standard of monitoring, observability enables I&O, DevOps, and SRE teams alike to gain critical insights into the performance of today’s complex cloud-native environments. Then teams can leverage and interpret the observable data. Observability defined. Achieving meaningful observability.

DevOps 147

DevOps Monitoring Cloud Artificial Intelligence 147

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Duration: 163.41

Metrics 203

Metrics Lambda Infrastructure Monitoring 203

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. 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. Dynatrace news. Beginnings of BizDevOps. Security integration.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

JANUARY 8, 2020

Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. Able to provide answers, not just data.

Infrastructure 146

Infrastructure Cloud Monitoring Metrics 146

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data. What is vulnerability management?

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

AUGUST 10, 2021

And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability. DynatraceGo! DynatraceGo!

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 264

Efficiency Performance Analytics DevOps 264

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. DevOps requires infrastructure experts and software experts to work hand in hand. Introduction of AIOps.

DevOps 206

DevOps Big Data Cloud Innovation 206

Dynatrace

NOVEMBER 9, 2022

But many companies’ IT infrastructure doesn’t start out in the cloud. Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . Moreover, according to IDC data,? – blog

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

JULY 21, 2020

In those cases, what should you do if you want to be proactive and ensure that your infrastructure is always up and running? You could of course create a custom device in Dynatrace and send data to it using our API or an ActiveGate extension. Visualize your synthetic monitor data. Easy and flexible infrastructure monitoring.

Infrastructure 151

Infrastructure Monitoring Open Source Traffic 151

Dynatrace

APRIL 6, 2022

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Why full-stack observability matters.

DevOps 222

DevOps Innovation Infrastructure Analytics 222

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 175

DevOps Analytics Best Practices Java 175

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 193

DevOps Metrics Engineering Analytics 193

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. Dynatrace news.

Database 235

Database DevOps Analytics Servers 235

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. DevOps/DevSecOps with AWS. Learn more here.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

JANUARY 19, 2022

But this statistics-based approach with too much data and not enough context requires expert analysts to draw conclusions that amount to educated guesses. Observability vs. monitoring: What’s the difference? – Blog. Modern approaches to observability and monitoring for multicloud environments – Blog.

Artificial Intelligence 170

Artificial Intelligence DevOps Performance Games 170

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Cloud operations and observability boost resilience for American Family – blog. The Log4j vulnerability explained (and what to do about it) – blog.

Open Source 211

Open Source DevOps Java Innovation 211

Dynatrace

MAY 21, 2021

This modular microservices-based approach to computing decouples applications from the underlying infrastructure to provide greater flexibility and durability, while enabling developers to build and update these applications faster and with less risk. What is a service mesh? Why do you need a service mesh?

Traffic 230

Traffic DevOps Infrastructure Network 230

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. and 2.14.1.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

DECEMBER 14, 2021

It will let you focus on where you want to be – building and running apps perhaps – while GKE Autopilot ‘self-flies’ the rest of the infrastructure for you. Just as GKE Autopilot is running your Kubernetes infrastructure, by deploying the Dynatrace Operator, the ? GKE Autopilot and beyond.

DevOps 210

DevOps Infrastructure Innovation Google 210

Dynatrace

DECEMBER 24, 2020

IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Dynatrace news.

DevOps 232

DevOps Infrastructure Cloud Monitoring 232

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. IT teams need to address such infrastructure blind spots with modern observability.

Innovation 208

Innovation Infrastructure DevOps Azure 208

Dynatrace

APRIL 19, 2021

Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. It’s this combination that helps our customers deal with the explosion of observability data.

DevOps 252

DevOps Innovation Speed Infrastructure 252

Dynatrace

FEBRUARY 17, 2022

These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. I’ll make some assumptions, read multiple blog posts, and I need to run it myself a couple of times. The art—and science—of simplicity.

Technology 198

Technology Technology Cloud Infrastructure 198

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. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is causal AI?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198