Dynatrace

JUNE 29, 2022

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? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

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

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

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

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

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

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Each step is automated from provisioning infrastructure to problem analysis. from other test tools or real users).

Testing 223

Testing Open Source Metrics Infrastructure 223

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. They are required to understand the full story of what happened in a system.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. As a result, teams are in dire need of end-to-end observability that can accommodate disparate formats and custom APIs with the context needed to take meaningful action.

Open Source 199

Open Source Google Serverless Azure 199

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? The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis. We’d love to hear your suggestions and ideas.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Data management.

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. However, open source software is often a vector for security vulnerabilities.

Cloud 182

Cloud Open Source Architecture Monitoring 182

Dynatrace

MAY 19, 2021

At the core of this approach is the Dynatrace AI engine, Davis ®, which automatically delivers an in-depth analysis and precise root cause whenever anomalies arise. This will provide teams insights from extended log streams for enriched root-cause analysis. More about Kubernetes. Get your free eBook now!

Innovation 239

Innovation Azure Infrastructure Cloud 239

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. Automatic topology analysis. Near-zero overhead.

Analytics 159

Analytics Technology Technology Cloud 159

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

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. However, regexes are known for their complexity, especially for in-depth analysis, leading to potential errors in results.

Best Practices 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

Dynatrace

AUGUST 16, 2021

inventory and analysi s? Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

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 modernization.

Cloud 227

Cloud Artificial Intelligence Innovation Azure 227

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). The need for runtime security observability is growing to automate vulnerability impact analysis.

Open Source 347

Open Source Java Operating System Programming 347

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. build microservices-based architecture.

Infrastructure 232

Infrastructure Cloud Java Azure 232

Dynatrace

FEBRUARY 12, 2024

The new observability app for databases from Dynatrace was built to cater to all requirements of database administrators (DBAs), from swiftly assessing database availability and performance to delving into architectural intricacies for efficient troubleshooting. It helps teams to find under or overutilized resources and components quickly.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

NOVEMBER 11, 2022

Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. Popular HCI vendors include Nutanix Acropolis, NetApp HCI, Cisco HyperFlex, and Microsoft Azure Stack HCI. What is hyperconverged infrastructure?

Infrastructure 206

Infrastructure Storage Virtualization Network 206

O'Reilly

FEBRUARY 18, 2020

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Along with R , Python is one of the most-used languages for data analysis.

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

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

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.  Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

FEBRUARY 9, 2021

The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure.

Software 146

Software Software Technology Technology 146

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. Next time Keptn must evaluate SLIs/SLOs for either quality gates, performance analysis after a performance test, or during auto-remediation, it will pull the metrics from that dashboard.

DevOps 249

DevOps Metrics Innovation Azure 249

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. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. “Dynatrace is enterprise-ready, including automated deployment and support for the latest cloud-native architectures with role-based governance,” Nalezi?ski

Cloud 173

Cloud Lambda Serverless AWS 173

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).

Cloud 141

Cloud Serverless AWS Architecture 141

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

Dynatrace

JULY 9, 2020

Keptn can integrate with other monitoring and observability platforms thanks to our event-driven architecture. This makes this use case very powerful and very easy to integrate into your existing CI/CD tools such as Jenkins, GitLab Pipelines, Azure DevOps or others. If you have questions – join our slack channel and let us help you.

Cloud 192

Cloud DevOps Azure Architecture 192

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

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Morning Paper

FEBRUARY 27, 2020

This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture).

Analytics 68

Analytics Infrastructure Cloud Hardware 68

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. In our analysis, we assigned experience levels to our respondents for some of the survey questions.

Serverless 88

Serverless Architecture FinTech Infrastructure 88