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

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. Solving for SR.

Engineering 260

Engineering DevOps Government Latency 260

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

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 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 263

Cloud Azure Analytics Open Source 263

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

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. Example #2 – Deployment information events.

Software 246

Software Software Open Source Azure 246

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 222

Analytics Monitoring Artificial Intelligence DevOps 222

Dynatrace

FEBRUARY 10, 2023

Check out the guide from last year’s event. Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. We’ll post news here as it happens! Learn more.

Efficiency 287

Efficiency Performance Analytics DevOps 287

Dynatrace

DECEMBER 10, 2021

Developing applications based on modern architectures comes with a challenge for release automation: integrating delivery of many services with similar processes but often with different technologies and tools along the delivery pipelines. Dynatrace helps to orchestrate processes independently of DevOps tooling. Dynatrace news.

DevOps 195

DevOps Cloud Testing Tools Strategy 195

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

Serverless 200

Serverless Azure Lambda AWS 200

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Typically, only the aggregated events will be accessible to ML and will often exclude additional details. What is AIOps?

Artificial Intelligence 224

Artificial Intelligence DevOps Innovation Metrics 224

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 191

Artificial Intelligence DevOps Performance Games 191

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. Dynatrace news. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from.

Cloud 198

Cloud DevOps Architecture Azure 198

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news. Leaders in tech are calling for radical change.

Monitoring 204

Monitoring Artificial Intelligence DevOps Serverless 204

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

OCTOBER 17, 2022

While the benefits of AIOps are plentiful — including increased automation, improved event prioritization and incident response, and accelerated digital transformation — applying AIOps use cases to an organization’s real-world operations issues can be challenging. CloudOps includes processes such as incident management and event management.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.

Performance 259

Performance Architecture Innovation Latency 259

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. SLOs minimize downtime.

Software 276

Software Software Benchmarking Latency 276

Dynatrace

OCTOBER 2, 2024

Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks.

Analytics 248

Analytics AWS DevOps Cloud 248

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242

Dynatrace

DECEMBER 15, 2022

ITOps vs. DevOps and DevSecOps. ITOps is responsible for all an organization’s IT operations, including the end users’ IT needs, while DevOps is focused on agile continuous integration and delivery (CI/CD) practices and improving workflows. DevOps works in conjunction with IT. ITOps vs. AIOps.

Artificial Intelligence 215

Artificial Intelligence DevOps Hardware Virtualization 215

Dynatrace

OCTOBER 8, 2024

Modern observability has evolved from simple metric telemetry monitoring to encompass a wide range of data, including logs, traces, events, alerts, and resource attributes. Instead, you receive an AI-generated summary as an affected deployment architecture diagram. Confirm the AI-detected root cause and review the deployment context.

Infrastructure 220

Infrastructure Cloud Speed Architecture 220

Dynatrace

APRIL 21, 2023

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. State agencies measurably reduce outage severity and costs In the event of a performance problem, observability can reduce MTTR.

Innovation 195

Innovation Speed Artificial Intelligence Government 195

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 199

Cloud DevOps Open Source Retail 199

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Seamless observability of messaging systems is critical for DevOps teams.

Analytics 199

Analytics Systems DevOps Healthcare 199

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions. IT operations don’t exist in a vacuum.

Artificial Intelligence 186

Artificial Intelligence DevOps Analytics Cloud 186

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 239

Government DevOps Infrastructure Network 239

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. Solving for SR.

Engineering 188

Engineering DevOps Government Latency 188

Dynatrace

MAY 3, 2022

To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. This traditional approach to observability lacks the specificity needed to keep pace with cloud-native environments and automate DevOps processes.

Cloud 190

Cloud DevOps Architecture Technology 190

Dynatrace

OCTOBER 4, 2022

Further, these resources support countless Kubernetes clusters and Java-based architectures. Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies. But DevOps and SRE teams still require IT automation and software intelligence to place data in context.

Analytics 234

Analytics Storage Infrastructure Metrics 234

Alex Podelko

NOVEMBER 21, 2018

From load testing to DevOps. Here it is: An important event, directly related to this book, happened recently and probably went unnoticed. And while we are not fully there yet, the Integration of JMeter in the DevOps tool chain chapter directly dives into what can be done right now.

DevOps 113

DevOps Testing Testing Tools Performance Testing 113

Dynatrace

APRIL 30, 2019

At its heart it uses Istio (for traffic control) and Knative (for event driven tool orchestration) and stores all configuration in Git – following the GitOps approach. Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions. It takes your artifacts (e.g:

Architecture 126

Architecture Open Source Azure Metrics 126

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. When monitoring tools release a stream of alerts, teams can easily identify which ones are false and assess whether an event requires human intervention.

Artificial Intelligence 202

Artificial Intelligence Tuning Strategy Big Data 202

Dynatrace

OCTOBER 15, 2021

OpenTelemetry reference architecture. The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. This data is valuable because it contains key metadata, event information, and more.

Open Source 230

Open Source Metrics Cloud Transportation 230

Dynatrace

NOVEMBER 28, 2022

Understand and optimize your architecture. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. Saving your cloud operations and site reliability engineering teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time. Optimize timing hotspots.

Lambda 235

Lambda AWS Serverless Latency 235