Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 162

Monitoring Latency Metrics Azure 162

Dynatrace

JULY 16, 2021

The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project. If you want more information on Keptn, then I suggest joining the Keptn Open Source community and help us drive innovation that benefits both the open-source project and Dynatrace Cloud Automation Solution.

DevOps 244

DevOps Open Source Cloud Azure 244

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.” “We have a rich metric expression language.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

Dynatrace

JULY 30, 2021

With all the technology changes through the past three years, with the world moving to K8s, the rise of GitOps, everything as code, event-driven automation, and many new open standards in the cloud-native space, it was time to update our workshop. Last week we kicked it off with a three-hour virtual hands-on workshop.

Cloud 213

Cloud DevOps Azure Virtualization 213

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. For re:Invent 2021 my team (but mostly Elise Greve) persuaded the re:Invent organizers to include Sustainability as a track code, and that was repeated for 2022 and now for 2023. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. What is observability?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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 180

Azure Performance Infrastructure Cloud 180

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 234

Azure Cloud Virtualization Innovation 234

Dynatrace

MAY 19, 2021

When it comes to observing Kubernetes environments, your approach must be rooted in metrics, logs, and traces —and also the context in which things happen and their impact on users. To watch the full session and learn more about how Dynatrace is accelerating innovation with Kubernetes, follow one of the local links below.

Innovation 234

Innovation Azure Infrastructure Cloud 234

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 234

Serverless Azure Monitoring Lambda 234

Dynatrace

OCTOBER 1, 2021

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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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 140

Serverless Azure Monitoring Lambda 140

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Configuration as code is easy to use, update, and understand. When releasing into production, Gardner said it’s important to think beyond performance metrics.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 218

Google Cloud Serverless Azure 218

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. These tools integrate tightly with code repositories (such as GitHub) and continuous integration and continuous delivery (CI/CD) pipeline tools (such as Jenkins). But first, some background. Why containers? Observability.

Open Source 298

Open Source Traffic DevOps Cloud 298

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. But one blind spot remained.

Open Source 192

Open Source Analytics Lambda Metrics 192

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. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. Accelerated innovation. billion in 2020 to $4.1

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

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. Microservices benefits.

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. Microservices benefits.

Architecture 243

Architecture Software Software Development 243

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. Dynatrace news.

Infrastructure 179

Infrastructure Cloud Azure AWS 179

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. New cloud-native technologies make observability more important than ever….

Analytics 154

Analytics Technology Technology Cloud 154

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. Just as the code is monolithic, so is the logging. Modern operating systems provide capabilities to observe and report various metrics about the applications running.

Cloud 223

Cloud Serverless Hardware Operating System 223

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. Monitoring Configuration as Code.

Cloud 185

Cloud DevOps Azure Architecture 185

Dynatrace

APRIL 22, 2022

With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. Additionally, PurePath provides distributed tracing with code-level detail at scale with contextual data. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 166

Cloud Lambda Serverless AWS 166

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. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

OCTOBER 30, 2023

With a unified log management and analytics platform like Dynatrace, application teams gain a holistic view of distributed traces, user sessions, code-level visibility, and logs—all within the context of the error or security vulnerability they aim to resolve. Set up processing rules. and/or its affiliates in the U.S.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Tasktop

OCTOBER 30, 2019

He demonstrated how a more elegant functional design—combining immutability, purity, and duality of code and data—can save larger enterprises millions of dollars, as demonstrated by his previous work at Walmart. Auditors – a powerful asset to help you innovate . Just look at how ugly that service-oriented architecture is!”

DevOps 8

DevOps Education Innovation Metrics 8

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Increased time spent on innovation. Dynatrace news.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 31, 2021

Cloud-native refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure-as-code. Horizontal Pod Autoscaler (HPA) adjusts the number of instances or replicas based on observed metrics. Examples include: Azure Kubernetes Service (AKS).

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Tasktop

APRIL 29, 2020

While DevOps applies lean manufacturing principles—through automating repeatable output to improve the deployment lead time from code commit to production—the work upstream is an entirely different ball game. This work upstream (before a release) is long, unpredictable and unmeasured. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69

Tasktop

JUNE 20, 2019

Developers are also highly impacted by activities that happen downstream from code-commit, like testing, deployment, customer support, and operations. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Requirements defined in Jama flow are synchronized as Stories to Jira.

Development 45

Development DevOps Google Innovation 45

Percona

JULY 1, 2023

For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers. Percona Monitoring and Management (PMM) can also be used to gather metrics. Want to learn more? Contact us today.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

NOVEMBER 25, 2019

Let’s take a look at two key indicators from our 2018 Dynatrace ACM Survey: MTTI (Mean Time to Innovate): How long does it take to push a new feature that is fully tested, ready to go to production, until end-users receive it? NoOps: Reaching zero-incident prod through auto-remediation-as-code. Jira, Slack, MS Teams).

Software 38

Software Software DevOps Best Practices 38

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Level of concurrent writes.

Architecture 52

Architecture Cache Azure Storage 52