Dynatrace

JUNE 6, 2023

Kubernetes has become the leading container orchestration platform for organizations adopting open source solutions to manage, scale, and automate application deployment. Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. Acceleration of innovation.

Open Source 181

Open Source Storage Analytics Innovation 181

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Open source code, for example, has generated new threat vectors for attackers to exploit. Open source code, for example, has generated new threat vectors for attackers to exploit. Open source software security.

Open Source 211

Open Source DevOps Java Innovation 211

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 222

DevOps Innovation Infrastructure Analytics 222

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Ensure that you get the most out of your product.

Engineering 262

Engineering DevOps Best Practices Infrastructure 262

Dynatrace

APRIL 11, 2023

Open source software is likewise playing a larger role in cloud computing, which brings benefits and dilemmas: bad actors have ready access to open source software and can identify new vulnerabilities to exploit. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. DevOps metrics and digital experience data are critical to this. Learn more.

Efficiency 264

Efficiency Performance Analytics DevOps 264

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. GitOps: Cloud automation as code. Expand to more use cases.

DevOps 241

DevOps Open Source Cloud Azure 241

Dynatrace

MARCH 2, 2022

A fully automated software release pipeline helps you release new functionally faster and frees up precious developer resources to focus on innovation. The backflow of CI/CD workflow information also helps your DevOps teams quickly find faulty software deployments and react quickly to prevent and remediate critical outages.

Open Source 216

Open Source DevOps Metrics Monitoring 216

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. The time and effort saved with testing and deployment are a game-changer for DevOps. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. Dynatrace provides new AIOps capabilities for all data sources, including open-source observability data via OpenTelemetry and Prometheus. DevOps/DevSecOps with AWS. 2021 DevOps Report. Learn more here.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

AUGUST 21, 2023

OpenTelemetry is an open source framework that provides agents, APIs, and SDKs that automatically instrument, generate, and gather telemetry data. How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. We believe in open source,” Scherer says. “We

Open Source 185

Open Source Analytics Lambda Metrics 185

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). When releasing into production, Gardner said it’s important to think beyond performance metrics.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

SEPTEMBER 22, 2021

Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data. Application performance monitoring has a strong focus on specific metrics and measurements. Application performance management. What is the impact of APM on the business?

Innovation 193

Innovation Monitoring Open Source Infrastructure 193

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

OCTOBER 11, 2021

The service pairs ideally with single-use functions that tie into other services and is intended to simplify application development and accelerate innovation. Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams. GCF is part of the Google Cloud Platform.

Google 211

Google Cloud Serverless Azure 211

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.

Energy 222

Energy Cloud Airlines Strategy 222

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 211

Cloud DevOps Azure Virtualization 211

Dynatrace

MAY 27, 2021

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. This rapid feedback enables developers to stay focused on innovation instead of managing infrastructure. Dynatrace news.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Limited observability. Cultural shift. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

Performance 234

Performance Education Innovation Software Architecture 234

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Limited observability. Cultural shift. Microservices managed.

Architecture 241

Architecture Software Software Development 241

Dynatrace

JULY 5, 2022

AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Increased business innovation. If IT teams spend the bulk of their time responding to alerts and dealing with false positives, there’s little time for innovation. Aggregation.

Artificial Intelligence 274

Artificial Intelligence Cloud Innovation Strategy 274

Dynatrace

APRIL 5, 2021

It also enables DevOps teams to connect to any number of AWS services or run their own functions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. But beyond these IT and APM benefits, Dynatrace assists its customers with workflow management via DevOps optimizations.

Lambda 173

Lambda AWS Serverless Hardware 173

Dynatrace

JULY 9, 2020

Besides our early adopter success stories, from avodag AG or amasol , we have seen lots of great innovation from Christian Heckelmann at eResearchTechnology (ERT), who integrated Keptn Quality Gates into their GitLab Pipeline which automates up to 90% of otherwise manual build approval tasks.

Cloud 179

Cloud DevOps Azure Architecture 179

Dynatrace

MARCH 16, 2021

The traditional machine learning approach relies on statistics to compile metrics and events and produce a set of correlated alerts. As DevOps teams evaluate what AIOps solution to adopt, it’s important to know exactly what each does and how, since they don’t all provide the same level of autonomous insight.

Artificial Intelligence 183

Artificial Intelligence Open Source Cloud Analytics 183

Dynatrace

APRIL 20, 2022

Kubernetes is an open-source orchestration engine for containerized applications that help to automate processes such as scaling, deployments, and management with greater efficiency. . What is Kubernetes? What is Amazon EKS? EKS Blueprints minimizes the complexity and provides the construct to deploy these services. . Resources.

AWS 206

AWS Infrastructure Open Source Best Practices 206

Dynatrace

JULY 31, 2020

Loosely defined, Observability boils down to inferring the internal health and state of a system by looking at the external data it produces, which most commonly are logs, metrics, and traces. The answer is in the data collection, and more specifically, how the logs, metrics, traces are collected. What are the plans for the future?

Open Source 173

Open Source Metrics Google Java 173

Dynatrace

MAY 31, 2021

In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work. But what is Kubernetes exactly? Where does it come from? What is Kubernetes?

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

APRIL 30, 2019

Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. The following shows how to evaluate a deployment score based on metrics from Prometheus and Dynatrace. Keptn is the open source control plane for continuous deployment and automated operations for cloud native applications on Kubernetes.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Increased time spent on innovation.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

JULY 31, 2020

Loosely defined, Observability boils down to inferring the internal health and state of a system by looking at the external data it produces, which most commonly are logs, metrics, and traces. The answer is in the data collection, and more specifically, how the logs, metrics, traces are collected.

Open Source 130

Open Source Metrics Google Java 130

Percona

JUNE 22, 2023

” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements. The transparency of open code enhances security as potential vulnerabilities can be identified and patched more quickly by the community.

Availability 104

Availability Database Open Source Hardware 104

Tasktop

MARCH 11, 2020

At Tasktop, our mission is to help enterprises and governments catalyze the shift from Project to Product , enabling them to innovate, survive and thrive in the Age of Software. The power of innovations in how software is built, packaged into new kinds of tools, came to define the rest of my career. .

Innovation 52

Innovation Metrics DevOps Government 52

Tasktop

JUNE 20, 2019

Since most businesses are not Microsoft, Amazon or Google, yet most are disrupted by them, they need to build their toolchain from the best commercial and open source products and then architect them for flow. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs.

Development 45

Development DevOps Google Innovation 45

Dynatrace

NOVEMBER 25, 2019

In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance. Reduce risk and iterate faster – the right way to deploy canary, blue/green and feature flags.

DevOps 38

DevOps Software Software Performance 38

Tasktop

OCTOBER 29, 2019

From Galileo’s telescope to tunneling electron microscopes, innovations in how we measure the world have been at the core of paradigm shifts. My personal quest for meaningful software delivery metrics started by accident. Scientific and technological revolutions have been catalyzed by breakthroughs in measurement.

Metrics 9

Metrics DevOps Programming Innovation 9