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 Infrastructure 363

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. Application Insights – Collects performance metrics of the application code. Available as an agent installer).

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

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 150

Azure Cloud Big Data Virtualization 150

Tasktop

JANUARY 13, 2021

Tasktop integrated the organization’s ITSM tool— ServiceNow —to its Agile development tools— Atlassian Jira and Microsoft Azure DevOps —to optimize its ability to resolve users’ problems faster across all systems. Some teams use Jira, and others use Azure DevOps depending on the product value stream.

Azure 52

Azure DevOps Healthcare Metrics 52

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

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

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. Collecting data requires massive and ongoing configuration efforts.

Cloud 261

Cloud Azure Analytics Open Source 261

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 245

DevOps Open Source Cloud Azure 245

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. What is Google Cloud Functions? GCF is part of the Google Cloud Platform.

Google 226

Google Cloud Serverless Azure 226

Dynatrace

JUNE 29, 2022

Accordingly, these platforms provide a unified, consistent DevOps and IT experience. Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

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. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

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. SLO validation – ?Automatically Topics in this blog series.

Software 246

Software Software Open Source Azure 246

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). This greatly reduced the number of metrics to manage and provided a more comprehensive picture of what was behind their primary reliability service-level objective. The metrics behind the four signals vary by row.

Automotive 274

Automotive Latency Architecture Azure 274

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. It automatically sends JMeter metrics to the Dynatrace cluster via the Metrics Ingest API. These metrics can be used to validate the load test plan or target load and to correlate between different application metrics. Dynatrace news.

Testing 222

Testing Open Source Metrics Infrastructure 222

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Manually pulling metrics from a managed system like Kubernetes can be laborious. DevOps teams need a solution that puts automation and observability at the forefront of microservices management.

Architecture 246

Architecture Software Software Development 246

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. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. Serverless platforms. Service mesh.

Architecture 205

Architecture Serverless Azure Programming 205

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Manually pulling metrics from a managed system like Kubernetes can be laborious. DevOps teams need a solution that puts automation and observability at the forefront of microservices management.

Architecture 245

Architecture Software Software Development 245

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. OpenShift, DevOps, and CI/CD. Enhances DevOps productivity. Key metrics for OpenShift monitoring.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

NOVEMBER 2, 2023

This public cloud management discipline provides IT, DevOps , CloudOps, finance, and business teams with continuous cost optimization tools and accurate accounting of cloud resources. Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use.

Cloud 201

Cloud Strategy Retail Energy 201

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 187

Engineering Development Infrastructure Cloud 187

Dynatrace

AUGUST 21, 2023

How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. It’s also being built into Kubernetes.” But one blind spot remained.

Open Source 201

Open Source Analytics Lambda Metrics 201

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 171

Cloud DevOps Speed Azure 171

Dynatrace

MARCH 22, 2022

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. Additional infrastructure metrics.

Infrastructure 232

Infrastructure Cloud Java Azure 232

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We Several team members had to pore through logs, metrics, and other data to identify issues. “We To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says.

Innovation 224

Innovation Infrastructure DevOps Azure 224

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. What are the typical use cases for AWS Lambda? What are the challenges related to operating Lambda functions?

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? which shows your operational efficiency in your software delivery pipeline.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS.

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The principles of cloud-native architecture. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 ).

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

JULY 9, 2020

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call.

Cloud 191

Cloud DevOps Azure Architecture 191

Tasktop

JANUARY 25, 2022

Now it’s even easier to do so from the Metrics screen. Azure DevOps: Hub will now update the Tags field with labels set in other tools. Today, we’re also releasing Tasktop Hub 22.1, which includes several new features to enhance your use and experience. . Simplified license management and tracking.

Automotive 98

Automotive Azure DevOps Metrics 98

Tasktop

JULY 17, 2019

Contrast this available telemetry with teams practicing DevOps who know their recovery time, their change failure and success rates, and their cycle times – all of which help teams identify opportunities for continuous improvement. The answer is Flow Metrics. 5 Everyday Problems Exposed by Flow Metrics.

Metrics 40

Metrics Software Software DevOps 40

Dynatrace

NOVEMBER 20, 2023

Why this deterministic AI approach is critical to business success – blog Today’s organizations need to go beyond a traditional, correlation-driven approach to identify the underlying causes and effects of an event or behavior and drive better DevOps automation. Enter causal AI.

AWS 213

AWS Artificial Intelligence Analytics Cloud 213

Scalegrid

MARCH 14, 2024

Providers such as AWS Outposts, Microsoft Azure Stack, Google Anthos, and VMware Cloud on AWS offer compatible private clouds that integrate seamlessly with established public cloud platforms — a key feature for constructing hybrid cloud systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. We start with data types—logs, metrics, traces, routes. Cloud optimization has two major components, according to McConnell: cost optimization and mission-critical workloads.

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199