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

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What will the new architecture be?

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Suboptimal architecture design. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. ” But Dynatrace goes further.

Best Practices 238

Best Practices Strategy Cloud AWS 238

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. To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture?

Infrastructure 187

Infrastructure Cloud Azure AWS 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 261

Cloud Azure Analytics AWS 261

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Every component has its own siloed cloud monitoring tool, with its own set of data.

Cloud 158

Cloud Monitoring Latency Games 158

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. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience.

Cloud 227

Cloud Artificial Intelligence Innovation Azure 227

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. What is the difference between monitoring and observability? Is observability really monitoring by another name? Dynatrace news. In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. A McKinsey & Company FinOps study indicated that “enterprises often don’t develop at-scale FinOps capabilities until their spending on cloud architecture reaches $100 million per year.”

Cloud 201

Cloud Strategy Retail Energy 201

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. Using Dynatrace, teams can directly access their synthetic monitors and drill down into locations where, for example, execution failed because of local or global outages.

Engineering 187

Engineering Development Infrastructure Cloud 187

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

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. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 231

Cloud Serverless Hardware Operating System 231

Dynatrace

APRIL 30, 2019

A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. Bamboo, Azure DevOps, AWS CodePipeline …. You can also checkout an open source web microservice app and an Azure function app that utilize the Keptn Pitometer Node.js Pitometer is a Node.js

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

APRIL 10, 2023

shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. These range from the simple lift-and-shift re-hosting approach to the significant architectural changes involved in refactoring. We also couldn’t compromise on performance and availability.”

Cloud 176

Cloud Ecommerce Performance Retail 176

Dynatrace

JUNE 15, 2023

It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response. Cloud application security practices enable organizations to follow secure coding practices, monitor and log activities for detection and response, comply with regulations, and develop incident response plans.

Cloud 182

Cloud Open Source Architecture Monitoring 182

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Dynatrace news. at Venetian Delfino 4006.

AWS 218

AWS Cloud Lambda Azure 218

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. The first best practice is to consolidate log management with application monitoring in a single platform.

Best Practices 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

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

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. The post What is container orchestration?

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. With a multi-cloud architecture, Scalegrid offers the flexibility and competitive edge necessary for AI applications in the rapidly evolving tech environment.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. Fueling innovation.

Cloud 202

Cloud Hardware Testing Logistics 202

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 159

Analytics Technology Technology Cloud 159

Dynatrace

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. American Family turned to Dynatrace to help them monitor complex environments without the hassle. ski explains.

Cloud 173

Cloud Lambda Serverless AWS 173

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

SEPTEMBER 4, 2020

Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. We have several examples of users using Keptn SLI/SLO-based Quality Gates in Jenkins, Azure DevOps, XebiaLabs (now digital.ai), GitLab, or other delivery tools.

DevOps 249

DevOps Metrics Innovation Azure 249

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.

Cloud 192

Cloud DevOps Azure Architecture 192

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

MAY 31, 2021

However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. Containers and microservices: A revolution in the architecture of distributed systems. This simplifies orchestration in cloud-native environments. Distributed.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. AWS handles essential administrative tasks, including database setup, configuration, backups, monitoring, and scaling, making it easier for businesses to manage complex database infrastructures.

AWS 52

AWS Database Serverless Storage 52

Tasktop

APRIL 29, 2020

Studying and continuously monitoring this flow enables manufacturers to identify whether there are impediments to be removed and efficiencies to be gained. Atlassian, Azure DevOps, and to an extent ServiceNow, provide a strong suite of tools that span the software delivery process from end-to-end. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69