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. The sheer volume of a modern enterprise’s data presents a challenge to those tasked with monitoring it, says Gartner.

DevOps 148

DevOps Monitoring Cloud Artificial Intelligence 148

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? It is scalable and reduces time needed to set up infrastructure.

DevOps 218

DevOps Infrastructure Speed Cloud 218

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 225

DevOps Innovation Infrastructure Analytics 225

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. AI for cybersecurity Enterprises need a better solution for identifying security vulnerabilities that present the greatest risk. Learn how security improves DevOps. What is DevSecOps?

DevOps 178

DevOps Analytics Best Practices Java 178

Dynatrace

AUGUST 5, 2022

Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps presents organizations that are already practicing DevOps with an alternate, more proactive perspective on security. DevSecOps automation and the importance of observability.

DevOps 200

DevOps Cloud Best Practices Open Source 200

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 249

Engineering DevOps Government Latency 249

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 236

DevOps Infrastructure Cloud Monitoring 236

Dynatrace

JUNE 28, 2022

It negatively affects the lead time for changes (LT) , a DORA metric 1 that DevOps teams use to measure platform and team performance. Utilizing a collection of tools for synthetic CI/CD testing can identify an issue while still leaving DevOps and SRE teams responsible for root cause analysis, which they often have to perform manually.

Monitoring 193

Monitoring Software Software DevOps 193

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 218

Government DevOps Infrastructure Network 218

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Dynatrace news. Improving cross-team collaboration improves cloud-native success.

Cloud 176

Cloud DevOps Strategy Monitoring 176

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. A lack of end-to-end observability.

Analytics 207

Analytics Storage Retail Monitoring 207

Dynatrace

JULY 6, 2022

IT automation, DevOps, and DevSecOps go together. DevOps and DevSecOps methodologies are often associated with automating IT processes because they have standardized procedures that organizations should apply consistently across teams and organizations. Automating IT practices without integrated AIOps presents several challenges.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

AUGUST 2, 2022

DevSecOps: Integrating security into DevOps. Traditional approaches to application security struggle to keep up with the complexity presented by cloud-native environments and rapid software release cycles. – blog. Learn how security improves DevOps. Security as code demands proactive DevSecOps – blog.

DevOps 130

DevOps Strategy Open Source Java 130

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. A lack of end-to-end observability.

Analytics 175

Analytics Storage Retail Monitoring 175

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. First, cloud environments present substantial observability issues given their increasing complexity and dynamism. AWS re:Invent 2021: Modernizing for cloud-native environments.

AWS 205

AWS Cloud Lambda Azure 205

Dynatrace

MAY 31, 2021

Although Kubernetes simplifies application development while increasing resource utilization, it is a complex system that presents its own challenges. In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. But what is Kubernetes exactly?

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Another big advantage of automation-as-code is the scale at which automation is enabled.

Cloud 167

Cloud DevOps Code Open Source 167

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

Tasktop

JUNE 18, 2019

In one week’s time, thousands of IT and business professionals will descend on London for the latest iteration of DevOps Enterprise Summit London 2019 (June 25-27 – InterContinental O2, London, UK). designed to help attendees take their DevOps initiatives to the next level. . Tuesday, June 25 at 2:40pm – Arora 6&7.

DevOps 74

DevOps Network Software Software 74

Dynatrace

JUNE 18, 2020

As the complexity of application and cloud environments increases exponentially, ITOps and DevOps teams are increasingly turning to AI to automatically monitor, analyze and report on the data that is collected. Automatically baseline performance and present findings on what can be improved. Cloud Infrastructure Monitoring Software.

Monitoring 162

Monitoring Cloud DevOps Software 162

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that. Two approaches to AIOps. AIOps use cases.

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 118

Cloud Serverless AWS Storage 118

Dynatrace

JUNE 28, 2021

This works out-of-the-box because Dynatrace understands how all your application and infrastructure components depend on each other. In this way, Davis can link defined SLOs to those anomalies that present potential negative impact. Davis notifies you when any of your SLOs are at risk, before any metrics turn red.

Best Practices 154

Best Practices Metrics Mobile Engineering 154

Dynatrace

OCTOBER 24, 2019

For more than six years now, the Dynatrace Davis AI causation engine has automatically detected incidents within web-scale service infrastructure environments. Code-level context is the crucial information that helps DevOps teams to immediately locate the fundamental problems within their service implementations. Dynatrace news.

Code 117

Code DevOps Infrastructure Processing 117

Dynatrace

MARCH 25, 2020

I posed these questions to a couple of friends and colleagues who are responsible for monitoring critical infrastructure and services and my friend Thomas and my colleagues from the Dynatrace Engineering Productivity shared the following stories and screenshots with me. Example #2 ensuring DevOps tool chain availability at Dynatrace.

DevOps 169

DevOps Traffic Monitoring Engineering 169

Dynatrace

DECEMBER 22, 2021

A platform approach, on the other hand, presents a more effective option for understanding observability as a whole. As a result, teams can gain full visibility into their applications and multicloud infrastructure. The post Observability platform vs. observability tools appeared first on Dynatrace blog. Watch webinar now!

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

Dynatrace

SEPTEMBER 23, 2021

Some SCA and SAST vendors have automated their products to align with the fast pace of modern DevOps teams, but many are still slow and cumbersome. Running privileged containers is a security risk because it creates an opportunity for a malicious user to take control of the host system, and this endangers your entire infrastructure.

Open Source 243

Open Source Benchmarking Best Practices Network 243

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. This is where the consolidated API, which I presented in my last post , comes into play. The post Keep track of thousands of environments from 20,000 feet appeared first on Dynatrace blog. Real-time problem visualization of lots of environments.

Storage 200

Storage Architecture Tuning Efficiency 200

Adrian Cockcroft

FEBRUARY 13, 2023

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

MARCH 11, 2021

It’s been a while since my last blog article on managing Dynatrace Managed at scale. During the implementation of the real-time visualization I presented in part three , I had an idea for another visualization; I wanted to visualize the number of detected problems globally, for a longer timeframe. Dynatrace news. Stay tuned!

Tuning 261

Tuning Architecture Monitoring Big Data 261

Testsigma

JUNE 23, 2021

You just have to sign up for a free trial account for test creation and execution and leverage its pre-configured setup integrated with Testsigma Lab (Testsigma’s cloud infrastructure). UI identifiers are basically used to identify the elements present on your app screen or a web page that may need to be interacted with during test execution.

Speed 52

Speed Software Software DevOps 52

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. The slow shift from monolithic systems to distributed systems has changed the way organizations and teams think about monitoring their infrastructure, websites, applications, APIs, etc.

Systems 74

Systems Monitoring Hardware Network 74

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. Infrastructure: Apart from the maintenance costs, you’ve got to count the infrastructure costs too. All of these require a lot of capital.

Cloud 57

Cloud Testing Storage DevOps 57

Percona

JUNE 22, 2023

As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures.

Availability 107

Availability Database Open Source Hardware 107

Dynatrace

FEBRUARY 3, 2020

Mid-January, Keptn was included in the CNCF Landscape for Continuous Delivery and at the same time, Avodaq presented the How Keptn solves their challenges moving to Cloud Native & K8S (watch it on YouTube). The post Quickstart to Autonomous Cloud with Keptn on GKE appeared first on Dynatrace blog.

Cloud 216

Cloud Open Source Google Scalability 216