Dynatrace

SEPTEMBER 4, 2020

This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 247

DevOps Metrics Innovation Azure 247

Dynatrace

OCTOBER 28, 2021

Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions. What is chaos engineering? Chaos engineers ask why. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster.

Engineering 228

Engineering Entertainment Cloud Infrastructure 228

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 303

Engineering DevOps Innovation AWS 303

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 156

DevOps Speed Infrastructure Best Practices 156

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 207

DevOps Social Media Mobile Metrics 207

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 198

DevOps Testing Monitoring Speed 198

Dynatrace

APRIL 29, 2021

To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD. Continuous delivery seeks to make releases regular and predictable events for DevOps staff, and seamless for end-users.

DevOps 272

DevOps Logistics Code Software 272

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 204

DevOps Testing Monitoring Speed 204

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

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 205

DevOps Metrics Engineering Analytics 205

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

JUNE 15, 2021

The path to “Architected for Resiliency” is long, but it clearly pays off in the long run, especially when outages occur, as I want to show you in this blog post. Through the RUM data, Dynatrace’s AI engine, Davis, detected seven users were impacted by the outage when they tried to access the Web Interface.

AWS 192

AWS Traffic Architecture Azure 192

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 278

Efficiency Performance Analytics DevOps 278

Dynatrace

MARCH 23, 2020

Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions. The data had to be painstakingly stitched together over the course of a few weeks, across each layer of our stack. High fidelity data, zero developer involvement. The effort was exhausting to say the least.

Google 194

Google Engineering Metrics Hardware 194

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.

Metrics 216

Metrics Lambda Infrastructure Monitoring 216

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. He has also authored a number of books on quality engineering and test automation. Today, TCOEs have been converted to a hybrid model as teams adopt Agile & DevOps. Manual test data provisioning. That is slow.

Engineering 104

Engineering Social Media DevOps Azure 104

Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation.

Engineering 202

Engineering Testing Performance Performance Testing 202

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This is what this blog is all about. Its a detailed tutorial blog that explains how you can make the first steps towards SLI/SLO-based Quality Gates. For this blog I will be using the same Node.js

Engineering 193

Engineering Performance Metrics Best Practices 193

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.

DevOps 219

DevOps Big Data Cloud Innovation 219

Dynatrace

NOVEMBER 9, 2022

According to some data, 93% of technologists find cloud application modernization challenging. Moreover, according to IDC data,? IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. How to pick an application modernization strategy – blog .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform. This is where Site Reliability Engineering (SRE) practices are applied.

DevOps 221

DevOps Latency Traffic Best Practices 221

Dynatrace

JULY 20, 2022

While development teams focus on innovation and quick release cycles, operations teams and Site Reliability Engineers (SREs) focus on stability. This blog post is the first in a series of publications centered around different problem remediation use cases and exemplary toolchain integrations. Dynatrace news. What’s next.

DevOps 231

DevOps Cloud Innovation Tuning 231

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 182

Artificial Intelligence DevOps Performance Games 182

Dynatrace

OCTOBER 21, 2021

But there is a lack of time for DevOps , SRE , and developers to analyze all this data to identify whether there’s a user impacting problem and if so – what the root cause is to fix it fast. This mongodb-datastore provides several internal API endpoints to fetch/update data in the actual MongoDB instance. Dynatrace news.

Metrics 220

Metrics DevOps Engineering Strategy 220

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. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. Dynatrace news.

Database 242

Database DevOps Analytics Servers 242

Dynatrace

DECEMBER 18, 2023

In the last blog post of this series, we delved into how Dynatrace, functioning as a deploy-stage orchestrator, solves the challenges confronted by Site Reliability Engineers (SREs) during the early of automating CI/CD processes. Integrate performance test tools with Dynatrace by adding headers to HTTP requests.

Testing 253

Testing Best Practices Performance Testing Engineering 253

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. And it’s not just the release validation.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 242

Cloud DevOps Benchmarking Speed 242

Dotcom-Montior

OCTOBER 19, 2021

The role and responsibilities of a site reliability engineer (SRE) may vary depending on the size of the organization. For the most part, a site reliability engineer is focused on multiple tasks and projects at one time, so for most SREs, the various tools they use reflect their eve-evolving responsibilities. Programming Languages.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

AUGUST 11, 2022

DevOps teams, SREs (site reliability engineers), platform teams, and SecOps teams aren’t always working from a common source of truth: SAST tools (static application security testing) provide scanning code for vulnerabilities. AI-powered risk assessment based on observability data provided by the Davis® Security Advisor.

Java 243

Java Cloud Virtualization DevOps 243

Dynatrace

NOVEMBER 28, 2023

In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). Davis AI can leverage this data to enable predictive analysis. This approach effectively combats configuration drift. What’s next?

Traffic 264

Traffic Best Practices Strategy Engineering 264

Dynatrace

FEBRUARY 1, 2022

As organizations struggle to combat vulnerabilities in their IT environments, they need real-time data on performance problems and security issues. In the Advancing DevOps and DevSecOps track, sessions aim to help security pros, developers, and engineers as they brace for new threats that are costly and time-consuming to address.

Strategy 205

Strategy Games DevOps Open Source 205

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 264

DevOps Innovation Speed Infrastructure 264

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. A modern observability solution transforms data from distributed environments into actionable business intelligence. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. 2021 DevOps Report.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. In production, containers are easy to replicate. What is Kubernetes?

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

APRIL 22, 2022

Although many companies adopt solutions such as OpenTelemetry, Prometheus, and Grafana as part of their observability strategy, they often confront a common data analysis problem: data silos. When teams, tools, and data are siloed, it’s harder for organizations to succeed. This leads to multiple tool-specific dashboards.

Open Source 175

Open Source Metrics Cloud Tuning 175

Dynatrace

AUGUST 16, 2023

SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. Often, data comes from many individual point solutions, and teams must piece together evidence based on hunches and specialized knowledge. But just establishing SLOs isn’t enough.

Monitoring 187

Monitoring DevOps Metrics Innovation 187