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

FEBRUARY 9, 2022

AI-powered automation and deep, broad observability for serverless architectures. In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. Visit our?

Serverless 193

Serverless Azure Lambda AWS 193

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

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. In this case, the bank group could not rely solely on Google Cloud Trace because they needed to collect traces and monitor the applications across all their systems.

Open Source 199

Open Source Google Serverless Azure 199

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. Collecting data requires massive and ongoing configuration efforts.

Cloud 261

Cloud Azure Analytics AWS 261

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.

AWS 252

AWS Efficiency Azure Cloud 252

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

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

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

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

MAY 19, 2021

However, while Kubernetes can help teams monitor the health of their environments and restart failed applications, the platform has limited visibility into the internal state of those applications. This will provide teams insights from extended log streams for enriched root-cause analysis. More about Kubernetes.

Innovation 239

Innovation Azure Infrastructure Cloud 239

Dynatrace

AUGUST 16, 2021

inventory and analysi s? Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Microservices architecture combines loosely-coupled functions to create high-performing applications.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

FEBRUARY 12, 2024

With Dynatrace, organizations can easily define everything pertaining to observability, security, ownership, synthetic monitoring, and automation workflows using simple configuration files, which also ensure a persistent configuration state. The app offers a consolidated overview across data centers and all monitored hosts.

Engineering 187

Engineering Development Infrastructure Cloud 187

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. Just one command instruments your entire application environment for monitoring.

Analytics 159

Analytics Technology Technology Cloud 159

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

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

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

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

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-user monitoring. MaaSS for Cloud Architects: Deployment and Architecture Validations. Dynatrace news. Full-stack observability.

AWS 128

AWS Monitoring Ecommerce Lambda 128

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

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

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 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. Next, organizations need to effectively monitor and streamline HCI processes. That’s where hyperconverged infrastructure, or HCI, comes in.

Infrastructure 206

Infrastructure Storage Virtualization Network 206

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

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 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

JULY 9, 2020

From of our learnings on how we integrated Dynatrace into our DevOps toolchain , we advise our customers to follow our best practices around integrating delivery tools with Dynatrace, enforcing Dynatrace-based quality gates, implementing monitoring as code or automate remediation based on Dynatrace problems. Monitoring Configuration as Code.

Cloud 192

Cloud DevOps Azure Architecture 192

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

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

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

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

The Morning Paper

FEBRUARY 27, 2020

Thus it’s common to use some form of phased rollout, monitoring progress as you go, with the idea of rolling back a change if it looks like it’s causing problems. This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. As such, organizations need the ability to integrate and monitor activity across their hybrid- and multicloud environments.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services.

Energy 52

Energy Metrics Cloud Operating System 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? For each individual data source, they let the application incorporate dynamic information about that data source in the analysis of incoming messages, and the application can also update this state over time.

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52