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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 259

Cloud Azure Analytics AWS 259

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

Dynatrace

JUNE 26, 2019

Dynatrace Synthetic is a monitoring solution you can use to check the availability and performance of your web applications under clean-room conditions. With performance monitors executed at regular intervals from Synthetic monitoring locations worldwide, you can easily compare application performance with real-user experience.

Monitoring 103

Monitoring Azure Tuning Innovation 103

Dynatrace

JULY 16, 2021

In this blog, I want to guide you through the steps of implementing release quality gates in your delivery automation or as we often call it “ Shift-Left SLOs with Quality Gates ”. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 236

Performance Analytics Mobile Innovation 236

Dynatrace

APRIL 15, 2022

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” In 48 hours, we had a total of 6,500 servers monitored.”

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Dynatrace

JULY 30, 2021

Today, it’s great to think back to those times when reading through my old blog posts such as the “ Mid-Tour Backstage Report ” – thanks to every individual who attended! All it takes is putting two tags ( keptn_managed and keptn_service ) on the monitored Dynatrace service we want to enable a quality gate for.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Dynatrace news.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

SEPTEMBER 4, 2020

In this blog, I want to dig a bit into a core capability of Keptn which is used across all use cases: SLI/SLO-based Evaluations for Quality Gates as well as Auto-Remediation. We have several examples of users using Keptn SLI/SLO-based Quality Gates in Jenkins, Azure DevOps, XebiaLabs (now digital.ai), GitLab, or other delivery tools.

DevOps 246

DevOps Metrics Innovation Azure 246

Dynatrace

APRIL 17, 2019

If you hadn’t already heard the news, the entire Dynatrace team is immensely proud to once again been positioned as a Leader in the Gartner 2019 Magic Quadrant for Application Performance Monitoring (APM). We believe this recognition is a testament to the company’s drive to constantly innovate and be the best in all that we do.

Innovation 134

Innovation Virtualization Cloud Azure 134

Dynatrace

NOVEMBER 22, 2021

As organizations move workloads and software development to multicloud environments to operate more efficiently and flexibly, traditional monitoring tools often fall short. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. AWS made better through AIOps.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JUNE 8, 2022

More than 95% of Fortune 500 companies use Microsoft Azure. Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications.

Azure 183

Azure Performance Infrastructure Cloud 183

Dynatrace

JUNE 8, 2022

Dynatrace has enhanced its partnership with Microsoft Azure, providing users a quick and easy path to purchasing, configuring, and managing Dynatrace directly inside the Microsoft Azure Portal. Dynatrace is excited to announce this enhancement is now in public preview for any Azure customer to evaluate. Dynatrace news.

Azure 237

Azure Cloud Virtualization Innovation 237

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

NOVEMBER 2, 2020

Cloud computing skyrocketed onto the market 20+ years ago and has been widely adopted for the scalability and accelerated innovation it brings organization. As organizations shift to hybrid cloud environments, there are two platforms really dominating the market and Microsoft Azure is the fastest growing with adoption rates skyrocketing.

Azure 248

Azure Serverless Innovation Cloud 248

Dynatrace

MAY 19, 2021

However, while Kubernetes can help teams monitor the health of their environments and restart failed applications, the platform has limited visibility into the internal state of those applications. To watch the full session and learn more about how Dynatrace is accelerating innovation with Kubernetes, follow one of the local links below.

Innovation 236

Innovation Azure Infrastructure Cloud 236

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

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 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Every component has its own siloed cloud monitoring tool, with its own set of data.

Cloud 157

Cloud Monitoring Latency Games 157

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. Built-in monitoring. Needs third party tools for monitoring.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. Google Cloud Platform (GCP) Anthos : Users can run applications on-premises, in GCP, or with other major public cloud providers like AWS and Microsoft Azure. Automate observability and monitoring.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Dynatrace

JULY 8, 2019

Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. Fueling innovation. It’s about fueling innovation.

Cloud 201

Cloud Hardware Testing Logistics 201

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Observability and monitoring challenges with Google Cloud Functions.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

OCTOBER 1, 2021

Although some people may think of observability as a buzzword for sophisticated application performance monitoring (APM) , there are a few key distinctions to keep in mind when comparing observability and monitoring. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Focused on delivering business value. Limited observability.

Architecture 246

Architecture Software Software Development 246

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. Focused on delivering business value. Limited observability.

Architecture 244

Architecture Software Software Development 244

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 226

Cloud Serverless Hardware Operating System 226

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 187

Cloud DevOps Azure Architecture 187

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Just one command instruments your entire application environment for monitoring.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. American Family turned to Dynatrace to help them monitor complex environments without the hassle.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

APRIL 30, 2019

You can read my blog supporting my session titled “ Performance as Code: Lets make it a Standard ” on the Neotys PAC blog. A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. Bamboo, Azure DevOps, AWS CodePipeline …. Pitometer is a Node.js

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. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 31, 2021

However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. It implements multiple control loops, continuously monitoring the components running on the platform and acting if something is wrong or does not correspond to the desired state. Red Hat OpenShift.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Percona

JULY 1, 2023

In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. What are the differences between Aurora and RDS?

AWS 52

AWS Database Serverless Storage 52

Tasktop

APRIL 29, 2020

In this blog, I will be talking about reviewing toolchain data fragmentation to get to the ground truth of the flow of work between the software delivery teams building and supporting your software products. Make sure you subscribe to receive the blog directly to your inbox when published. Multiple frameworks and measurements.

DevOps 69

DevOps Azure Network Efficiency 69

O'Reilly

NOVEMBER 28, 2023

But that isn’t all the art that a company needs: “hero images” for blog posts, designs for reports and whitepapers, edits to publicity photos, and more are all necessary. We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. Is generative AI the answer? Perhaps not yet.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108