Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Keptn is an open source control plane that enables cloud-native continuous delivery and automated operations. Too many SLOs create complexity for DevOps.

Open Source 200

Open Source DevOps Cloud Metrics 200

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 232

Google Cloud Serverless Azure 232

Dynatrace

APRIL 29, 2021

We are pleased to announce Atlassian has selected Dynatrace as a launch partner for its Open DevOps initiative, which combines Atlassian products and best-in-class solutions from key partners to deliver full lifecycle value to customers. Visit the Atlassian Marketplace to explore the integrations today.

DevOps 246

DevOps Software Software Development 246

Dynatrace

FEBRUARY 2, 2023

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? To close these critical gaps, Dynatrace has defined a new class of events called business events.

Analytics 214

Analytics Metrics DevOps Storage 214

Dynatrace

FEBRUARY 24, 2021

The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. So which is it: SRE vs DevOps, or SRE and DevOps?

DevOps 196

DevOps Software Engineering Speed Google 196

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Logs provide information you can’t find anywhere else.

Cloud 263

Cloud Azure Analytics Open Source 263

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 203

DevOps Engineering Artificial Intelligence Infrastructure 203

Dynatrace

JULY 9, 2020

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from. Dynatrace news.

Cloud 198

Cloud DevOps Architecture Azure 198

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Most infrastructure and applications generate logs.

Cloud 195

Cloud Systems Analytics DevOps 195

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Dynatrace news.

Cloud 185

Cloud DevOps Engineering Speed 185

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

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. Example workflow for event-driven vulnerability reporting and escalation.

Cloud 184

Cloud DevOps Code Open Source 184

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 313

Open Source Traffic DevOps Cloud 313

Dynatrace

OCTOBER 14, 2020

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. We want to share how Dynatrace helped us identify and fix memory leaks in one of the most central and critical components within Keptn: our event broker. Dynatrace news. Yes, we can!

Cloud 238

Cloud Development Open Source Monitoring 238

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 199

Cloud DevOps Open Source Retail 199

Dynatrace

MAY 3, 2022

Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.

Cloud 190

Cloud DevOps Architecture Technology 190

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. But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. For most teams, evolving their DevOps practices has been challenging enough. Or is it just a passing cloud?

DevOps 229

DevOps Big Data Cloud Innovation 229

Dynatrace

FEBRUARY 3, 2020

Self-Service Progressive Delivery of Microservices, Automated SLI/SLO based Quality Gates, Continuous Feedback through ChatOps and Automatic Remediation of Production Issues are some of the capabilities you expect from a modern cloud-native software delivery platform. The recent improvements released in Keptn 0.6,

Cloud 232

Cloud Open Source Google Scalability 232

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

Dynatrace

FEBRUARY 20, 2020

Cloud providers, such as AWS, Azure, and GCP, help to automate the process of upscaling or downscaling compute power by providing autoscaling groups. Beyond cloud provider solutions, there are multiple additional frameworks and tools that help IT departments to dynamically adapt their compute power dynamically.

AWS 167

AWS Azure Infrastructure Availability 167

Dynatrace

FEBRUARY 10, 2021

Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream. Automated release inventory and version comparison.

Cloud 177

Cloud DevOps Speed Metrics 177

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ? Annotation.

Software 246

Software Software Open Source Azure 246

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. 05:00 – Quick Start – Connect Cloud Automation.

DevOps 246

DevOps Open Source Cloud Azure 246

Dynatrace

NOVEMBER 29, 2022

And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. So we built one: The Dynatrace Cloud Automation control plane. Cloud Automation use cases.

Infrastructure 183

Infrastructure Code Cloud DevOps 183

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. This includes out-of-the-box health alerts, health indicators, identification of problematic workload and node conditions, and warning events for various Kubernetes components.

Engineering 285

Engineering DevOps Best Practices Infrastructure 285

Dynatrace

NOVEMBER 9, 2021

Amplify PowerUP, our half-yearly global event to update our partner community, covered a lot of ground including key Partner Program announcements, Q2 earnings and partner contribution, market growth and momentum, Dynatrace platform capabilities, and the partner services offering the platform powers. DevOps and Cloud Ops Automation.

DevOps 229

DevOps Innovation Cloud Programming 229

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. One of the keys to managing cloud costs is ensuring that operations are running efficiently. Digital transformation continues surging forward.

Engineering 254

Engineering DevOps Innovation Storage 254

Dynatrace

FEBRUARY 4, 2021

” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 260

Engineering DevOps Government Latency 260

Dynatrace

DECEMBER 10, 2021

This causes challenges for DevOps and SRE teams when extending the lifecycle with additional steps, integrating new third-party software such as pipeline tools or ITSM tools, or just replacing one tool with another. Dynatrace helps to orchestrate processes independently of DevOps tooling. To address the problem of processes (i.e.,

DevOps 195

DevOps Cloud Testing Tools Strategy 195

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. Learn more.

Efficiency 287

Efficiency Performance Analytics DevOps 287

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 251

Engineering Development DevOps Infrastructure 251

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence 298

Artificial Intelligence Cloud Innovation Strategy 298

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 222

Analytics Monitoring Artificial Intelligence DevOps 222

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale.

Database 245

Database DevOps Analytics Servers 245

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

Development 273

Development DevOps Programming Cloud 273

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 215

Artificial Intelligence DevOps Hardware Virtualization 215