Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 188

DevOps Analytics Storage Metrics 188

Dynatrace

NOVEMBER 3, 2023

The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Their metric of success will relate to how easily developers can self-service their requirements and own their code in production.

Engineering 217

Engineering DevOps Software Engineering Scalability 217

Dynatrace

OCTOBER 28, 2022

Companies like BT, a telecom provider, have increasingly enlisted AIOps and digital transformation as they move to the cloud and evolve their service portfolios. As it has expanded, BT has turned to technology—and increasingly to the cloud—to enable its transformation. AIOps and digital transformation are at the forefront for BT.

Cloud 206

Cloud Strategy Technology Technology 206

Dynatrace

JULY 12, 2022

We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. We had lost some of the visibility [in moving to the cloud],” Schirrmacher recalls.

Innovation 224

Innovation Infrastructure DevOps Azure 224

Dynatrace

NOVEMBER 14, 2023

Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Joining Gunja for the webinar were SREs Danne Aguiar from Kyndryl, Hilliary Lipsig from Red Hat, and Stephen Townshend from SquaredUp. For organizations building business-centric SLOs, Aguiar had some recommendations. “If

Best Practices 197

Best Practices Engineering DevOps Software Engineering 197

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. Watch webinar now! What are SLIs? Why are SLOs important?

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. Organizations should demand an all-in-one approach to monitoring cloud platforms and supporting applications and infrastructure. appeared first on Dynatrace blog.

Infrastructure 205

Infrastructure Monitoring Virtualization Serverless 205

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. Organizations are increasingly turning to these cloud environments to stay competitive, remain agile, and grow. Without visibility, application performance and security are easily compromised.

Analytics 234

Analytics Metrics Cloud Systems 234

Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. The three pillars of observability at the time were metrics, logs, and traces,” Wilson said. At the end of the ‘Is DevOps dead?’

DevOps 165

DevOps Engineering Innovation Best Practices 165

Tasktop

MAY 28, 2020

Jim recently co-hosted a webinar with our CEO and founder, Dr. Mik Kersten (author of bestselling Product to Product ) to expand on Cubic’s use of the Flow Framework® , SAFe® and other industry standards, as well as the use of flow diagnostics identified by Tasktop Viz , to accelerate the pace and velocity of delivery. . Subscribe now.

Speed 52

Speed Metrics Transportation Hardware 52

Dynatrace

DECEMBER 13, 2023

However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage. So many tools can result in data inconsistencies.

Google 230

Google Cloud Infrastructure Metrics 230

Tasktop

APRIL 11, 2022

The biggest organizations in the world are pivoting to a product-centric operating model,” opens Charles Betz , Principal Analyst at Forrester, on a recent webinar. Watch the full webinar. Empower platform teams to be customer-centric with goals and metrics that measure outcomes. Two very different levels of investment.

Design 52

Design Infrastructure Metrics Innovation 52

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Falco is an open-source, cloud-native security tool that utilizes the Linux kernel technology  eBPF , to generate fine-grained networking, security, and observability events.

Analytics 201

Analytics AWS Strategy Infrastructure 201

Tasktop

JUNE 21, 2022

In a recent webinar with Tasktop CEO and Project to Product author, Dr. Mik Kersten, Bobby described how value stream management (VSM) is proving a core tenet of operating IT with increasing effectiveness. “To Value streams are measured using Flow Metrics. Shifting the focus from cost efficiency to value effectiveness.

Technology 52

Technology Technology Government DevOps 52

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually.

Cloud 178

Cloud DevOps Code Open Source 178

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. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 226

Google Cloud Serverless Azure 226

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 237

Architecture Artificial Intelligence Cloud Open Source 237

Dynatrace

JANUARY 30, 2023

The Department of Defense (DoD) has officially launched the Joint Warfighter Cloud Capability (JWCC) , the first-ever series of contracts that will establish enterprise cloud computing services for the entire department. These contracts will shine a spotlight on the need to optimize cloud performance and security.

Cloud 184

Cloud Performance Government Infrastructure 184

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 213

AWS Artificial Intelligence Analytics Cloud 213

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

APRIL 21, 2023

In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible. Register to listen to the webinar.

Government 164

Government Infrastructure Innovation Monitoring 164

Dynatrace

JUNE 8, 2022

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. Observability in the cloud can be hard to achieve.

Azure 188

Azure Performance Infrastructure Cloud 188

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. Watch webinar now!

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

MAY 27, 2021

As software development environments adopt more cloud-native technologies, microservices, and container-based architecture, delivering software manually becomes increasingly impractical. Here are a few common metrics teams should track for every CD pipeline to help you evaluate its efficacy.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

FEBRUARY 15, 2023

SREs face ever more challenging situations as environment complexity increases, applications scale up, and organizations grow: Growing dependency graphs result in blind spots and the inability to correlate performance metrics with user experience. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

FEBRUARY 15, 2023

Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.

Government 168

Government Serverless Analytics Metrics 168

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Captures metrics, traces, logs, and other telemetry data in context. Scalability and cloud-native support: Dynatrace is designed to scale effortlessly in dynamic Kubernetes environments.

Architecture 173

Architecture Availability Infrastructure Metrics 173

Dynatrace

NOVEMBER 20, 2020

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected.

Artificial Intelligence 255

Artificial Intelligence Serverless Analytics Innovation 255

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 255

Development Serverless Best Practices Lambda 255

Dynatrace

JANUARY 13, 2022

Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics. Real user monitoring works by injecting code into an application to capture metrics while the application is in use. Watch webinar now!

Monitoring 184

Monitoring Latency Mobile Best Practices 184

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Watch webinar now! Limited observability.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Watch webinar now! Limited observability.

Architecture 245

Architecture Software Software Development 245

Dynatrace

OCTOBER 14, 2021

Modern AIOps: Modern AIOps solutions are built for dynamic clouds and software delivery life cycle (SDLC) automation because they combine full-stack observability with a deterministic AI engine that can yield precise, continuous, and actionable insights in real time. The deviating metric is response time. Why is AIOps needed?

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

OCTOBER 22, 2020

Dynatrace automatically discovers all the subcomponents and dependencies across the cloud stack in real time, from applications and microservices to all components in the underlying infrastructure, pinpointing the root-cause of any issues, prioritizing by business impact, and providing precise, AI-driven answers. Let us show you.

Infrastructure 150

Infrastructure Cloud Metrics Code 150

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 214

Analytics Monitoring Artificial Intelligence DevOps 214