Scalegrid

MARCH 22, 2024

Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

JULY 12, 2022

Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. We had lost some of the visibility [in moving to the cloud],” Schirrmacher recalls. IT automation speeds code development.

Innovation 208

Innovation Infrastructure DevOps Azure 208

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 186

Architecture DevOps Monitoring Programming 186

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. Understanding monolithic architectures. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 168

Cloud Open Source Architecture Monitoring 168

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. Understanding monolithic architectures. Dynatrace news.

Architecture 241

Architecture Software Software Development 241

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 216

Cloud Serverless Hardware Operating System 216

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

MARCH 8, 2022

Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Dynatrace Delivers Software Intelligence as Code. These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We

Code 172

Code Software Software Serverless 172

Dynatrace

JUNE 2, 2022

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. In order to unleash the innovation organizations need to evolve their SRE approaches. Over time, this creates a complex web of code that becomes more difficult to scale across the DevOps pipeline.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 241

Cloud Serverless Innovation Architecture 241

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. The research estimated a 35% increase in public cloud usage in 2021 alone.

AWS 201

AWS Cloud Lambda Azure 201

Dynatrace

JULY 12, 2022

It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and open source code libraries to support efforts to deliver new digital solutions to customers. However, this growing pressure to innovate faster is creating more risk of vulnerabilities escaping into production.

Cloud 164

Cloud Open Source Innovation Serverless 164

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. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 172

Infrastructure Cloud Azure AWS 172

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. With its massively parallel architecture, Grail can ingest and process high cardinality data at the scale of modern cloud architectures without losing fidelity.

Analytics 176

Analytics Innovation Metrics Database 176

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). It also detects new containers and injects OneAgent code modules into application pods.

Architecture 161

Architecture Availability Infrastructure Metrics 161

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales.

Strategy 187

Strategy Cloud Infrastructure Metrics 187

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 254

Cloud Azure Analytics AWS 254

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 209

Google Cloud Serverless Innovation 209

Dynatrace

JANUARY 26, 2024

But up to now, FedRAMP has been viewed as a bottleneck process that delays the delivery of cloud services, which ultimately hurts modernization efforts. For the Department of Defense’s Joint Warfighting Cloud Capability program, there are expectations for the quicker release and uptake of task orders.

Government 201

Government Artificial Intelligence Innovation Programming 201

Dynatrace

SEPTEMBER 12, 2019

I’m going to revisit the Dynatrace digital transformation in this blog, because it is also an excellent story that began our journey to Autonomous Cloud Management (ACM). Market disruptions spark innovation and radical change. Went from zero to over 5,000 daily deployments. Today zero Ops resources and 7 R&D resources.

Games 159

Games Cloud Best Practices Innovation 159

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. Additionally, PurePath provides distributed tracing with code-level detail at scale with contextual data. ski explains.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack.

Cloud 280

Cloud Open Source Internet Internet 280

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 170

Azure Analytics Artificial Intelligence Innovation 170

Dynatrace

MARCH 18, 2024

Overseeing cloud spend and IT resource allocation has always been a priority for CIOs. Yet, in 2023, 82% of cloud decision makers reported that managing cloud spend was their top challenge, according to one source. Teams provision and purchase many cloud services that end up underused or completely unused.

Best Practices 221

Best Practices Strategy Cloud AWS 221

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

MAY 5, 2021

Observability should be as cloud-native as Kubernetes itself. Both Kubernetes monitoring and routing capabilities now use a containerized architecture and are managed by the new Dynatrace Operator. Our teams are more autonomous, which means they can deliver innovation faster to their customers.” New to Dynatrace?

Cloud 214

Cloud Traffic Monitoring Open Source 214

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Increased adoption of Infrastructure as code (IaC). Dynatrace news.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

JULY 9, 2020

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from. Dynatrace news.

Cloud 179

Cloud DevOps Azure Architecture 179

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. Cloud automation. Operations.

Software 177

Software Software Analytics Big Data 177

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. What is Lambda?

Lambda 214

Lambda AWS Serverless Latency 214

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 181

Energy Artificial Intelligence AWS Lambda 181

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. However, turning those logs into meaningful insights requires a data lakehouse.

Efficiency 264

Efficiency Performance Analytics DevOps 264

Dynatrace

APRIL 7, 2021

You think you’ve achieved observability through multiple cloud monitoring tools, but they’re fragmented, and teams are siloed, so no one has the context to identify the answers. Organizations are rapidly adopting multicloud architectures to achieve the agility needed to drive customer success through new digital service channels.

Cloud 155

Cloud Monitoring Latency Games 155

Dynatrace

MAY 23, 2022

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.

Strategy 214

Strategy Innovation Cloud Serverless 214

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. Observability defined. Where traditional monitoring falls flat. Then teams can leverage and interpret the observable data.

DevOps 147

DevOps Monitoring Cloud Artificial Intelligence 147