Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. A typical Azure Monitor deployment, and the views associated with each business goal. Available as an agent installer). How does Dynatrace fit in?

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

Scalegrid

OCTOBER 2, 2019

October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions. PALO ALTO, Calif.,

Azure 37

Azure Cloud Open Source Virtualization 37

Dynatrace

JUNE 15, 2021

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. Those tests get executed from two locations (Paris and London) hosted by different cloud vendors (Azure & AWS). This deployment is also super resilient to full data center (e.g.,

AWS 246

AWS Traffic Architecture Azure 246

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 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 246

Design Storage Programming Analytics 246

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? Why: Data Makes It Different. The new category is often called MLOps.

DevOps 145

DevOps Software Engineering Open Source Infrastructure 145

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. Democratizing data – monitoring-as-a-self-service for biz, dev and ops.

DevOps 47

DevOps Software Software Best Practices 47

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Logs can include data about user inputs, system processes, and hardware states. In fact, the global log management market is expected to grow from 1.9 billion in 2020 to $4.1

Analytics 264

Analytics Monitoring Artificial Intelligence DevOps 264

Dynatrace

JUNE 29, 2022

Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment.

Infrastructure 246

Infrastructure Cloud Azure AWS 246

Dynatrace

OCTOBER 2, 2024

The new Dynatrace Logs app, fully powered by Grail™ data lakehouse, significantly enhances the experience for novice and seasoned users. This ensures a smooth user experience for DevOps engineers and SREs, whether they prefer intuitive click-and-filter workflows or fine-grained control through DQL.

Azure 244

Azure DevOps Infrastructure Cloud 244

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate. Observability. Here are some examples.

Open Source 334

Open Source Traffic DevOps Cloud 334

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 264

Engineering Development DevOps Infrastructure 264

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. Collecting data requires massive and ongoing configuration efforts.

Cloud 264

Cloud Azure Analytics Open Source 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 246

DevOps Open Source Cloud Azure 246

Dynatrace

SEPTEMBER 27, 2024

The goal was to develop a custom solution that enables DevOps and engineering teams to analyze and improve pipeline performance issues and alert on health metrics across CI/CD platforms. With all the data readily accessible via the CI/CD tool vendor’s APIs, it’s easy to conclude that building a custom solution from scratch is straightforward.

Government 246

Government DevOps Azure Scalability 246

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. Existing siloed tools lead to inefficient workflows, fragmented data, and increased troubleshooting times.

Analytics 304

Analytics AWS DevOps Cloud 304

High Scalability

OCTOBER 3, 2019

ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.

Azure 23

Azure Cloud Open Source Cache 23

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. Overall, these functions excel in scenarios where data enrichment and logic application are paramount.

Google 246

Google Cloud Serverless Azure 246

Dynatrace

AUGUST 16, 2021

Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Key ingredients required to deliver better software faster.

Software 246

Software Software Open Source Azure 246

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.

Cloud 242

Cloud DevOps Speed Metrics 242

Dynatrace

JULY 25, 2024

The result is testing features in production with specific user segments, gathering feedback and making data-driven decisions on a broader rollout. Integration with CI/CD pipelines: Teams can integrate SRG into existing delivery pipelines including Jenkins, Github, GitLab, AWS, or Azure pipelines.

Strategy 276

Strategy Azure Monitoring DevOps 276

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 214

Cloud DevOps Azure Virtualization 214

Dynatrace

NOVEMBER 11, 2021

Data confirms Aggarwal’s conclusions. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. The research estimated a 35% increase in public cloud usage in 2021 alone. Why modern observability is different.

AWS 246

AWS Cloud Lambda Azure 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Focused on delivering business value. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Focused on delivering business value. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

JANUARY 13, 2021

The addition of OpenTelemetry is especially helpful for organizations looking at embedding OpenTelemetry into their applications as their data will automatically enrich PurePath’s distributed trace data. For instance, Zurich Insurance Company, applied this approach through Azure DevOps.

Open Source 211

Open Source Code Monitoring Azure 211

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JULY 12, 2022

Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.

Innovation 246

Innovation Infrastructure DevOps Azure 246

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution.

Systems 208

Systems DevOps Latency Azure 208

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 246

AWS Lambda Artificial Intelligence Serverless 246

Scalegrid

OCTOBER 2, 2019

October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Hosting on Azure for Redis™ service. The demand for Redis™ is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.

Azure 100

Azure Availability Open Source Virtualization 100

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. You’ll benefit from serverless computing when: Authenticating users (for example, Okta , Azure Active Directory ). When the serverless model is not a benefit.

Serverless 246

Serverless Efficiency Lambda AWS 246

Alex Podelko

JUNE 12, 2019

Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in Azure DevOps will be retired. To evaluate such ecosystems, in absence of more sophisticated data, I used the number of documents Google finds and the number of jobs Monster finds mentioning each product. Open Source.

Testing 243

Testing Open Source Testing Tools Performance Testing 243

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Due to the massive amount of data, no one knew what action to take if a number went red. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google.

Automotive 290

Automotive Latency Architecture Azure 290

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Additionally, the Dynatrace service can capture data from open source technologies, cloud-native platforms, containers, and more. Service mesh.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. It also lacks automation capabilities due to missing data and therefore doesn’t scale. Each load test project is defined in a separate git repository with all necessary metainformation: Property files for workloads, Test data, Test plan and.

Testing 246

Testing Open Source Metrics Infrastructure 246