Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Declarative APIs.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

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. Dynatrace news.

Strategy 199

Strategy Cloud Infrastructure Metrics 199

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 343

Open Source Java Operating System Programming 343

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Azure Virtual Network Gateways. Dynatrace news.

Azure 148

Azure Cloud Big Data Virtualization 148

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. More in the following sub-section.)

Availability 103

Availability Database Open Source Hardware 103

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 244

Serverless Efficiency Lambda Azure 244

Dynatrace

OCTOBER 23, 2023

This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. We believe at Soldo that efficiency is the key value to be very successful in the business we run,” said Luca Domenella, head of cloud operations and DevOps at Soldo. We’re born in the cloud, we’re a cloud-native company.

Design 217

Design Innovation DevOps Open Source 217

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. What is infrastructure monitoring?

Infrastructure 201

Infrastructure Monitoring Virtualization Serverless 201

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Additionally, typical SOA models use larger relational databases. Tips for migrating from monolithic to microservices architecture.

Architecture 201

Architecture Serverless Azure Programming 201

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Understanding resource utilization for cost management.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

APRIL 22, 2022

As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments. Open source observability tools help address cloud complexity. Using open-source tools to tame cloud complexity can lead to data silos. SAP meets OpenTelemetry.

Open Source 174

Open Source Metrics Cloud Tuning 174

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. metrics, traces, and logs) to gain a better understanding of the behavior of their code during runtime.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics.

Analytics 215

Analytics Storage Retail Monitoring 215

HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. However, there can be a lack of understanding of the benefits that stored procedures bring or if you have a benchmarking tool or database that doesn’t support stored procedures, then you have nothing to compare against.

Benchmarking 62

Benchmarking Database Network C++ 62

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Droplets. DigitalOcean Disk Types.

Azure 187

Azure AWS Latency Database 187

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics.

Analytics 182

Analytics Storage Retail Monitoring 182

Dynatrace

APRIL 5, 2021

The growth of Azure cloud computing. Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. When not to use Azure Functions.

Azure 137

Azure Serverless IoT Lambda 137

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems. The benefit is scalability.

Azure 172

Azure AWS DevOps Cloud 172

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 186

Performance Java Metrics Cloud 186

Dynatrace

MAY 28, 2020

If you have a distributed environment with multiple servers hosting your webservers, app servers, and database, I suggest you install the OneAgent on all these servers to get full end-to-end visibility. Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options.

Engineering 192

Engineering Performance Metrics Best Practices 192

Dynatrace

MAY 8, 2023

The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. Provide metrics for improved site reliability. Moreover, most organizations use a combination of cloud-based and on-premises infrastructure. Help systems meet SLAs.

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

SEPTEMBER 30, 2020

The most successful organizations know that developing and deploying strategic workloads to the cloud in an efficient and effective manner is a great place to start innovating. Yet, migrating to the cloud at faster speeds without the right amount of visibility is similar to driving a sports car at midnight in a storm with no headlights!

Innovation 149

Innovation Speed Virtualization Infrastructure 149

Dynatrace

NOVEMBER 12, 2021

While federal agencies are making significant headway moving IT workloads to multiple cloud service platforms, they continue to face a variety of challenges in gaining a complete picture of their total operating environment. With traditional APM you gathered metrics, logs, or even some transactional data. What’s the root cause?

Cloud 173

Cloud Monitoring Network Azure 173

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. TB)) for storage of database tablespaces and logging.

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

SEPTEMBER 8, 2020

Very often, I heard that chaos engineering is only a technique used by larger companies (like Netflix) or in cloud native environments. You want to know if chaos engineering is only usable in cloud native environments. With the rise of cloud and container technologies, companies developed a lot of microservices. Dynatrace news.

Engineering 140

Engineering Cloud Monitoring Testing 140

Apica

JANUARY 18, 2023

They might have the latest cloud-based solutions running on the top, but it all hinges on an outdated, archaic Excel spreadsheet or mainframe application from 20 years ago. You may have thousands of spreadsheets moving data between databases that are virtually invisible to the “latest” monitoring technology.

Monitoring 52

Monitoring Network Architecture Traffic 52

Dynatrace

SEPTEMBER 23, 2021

Unfortunately, container security is much more difficult to achieve than security for more traditional compute platforms, such as virtual machines or bare metal hosts. This is how most Cloud Workload Protection Platforms (CWPPs) operate as well as popular image scanners such as Anchore and Clair. Runtime vulnerability detectors.

Open Source 251

Open Source Benchmarking Best Practices Network 251

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Alex Podelko

SEPTEMBER 8, 2020

Instead of diving in arguing about specific points (which I partly did in my earlier post – start from The Future of Performance Testing if you are interested), I decided to talk to people who monetize on these “myths” So here is a virtual interview with Guillaume Betaillouloux , co-founder and Performance Director of OctoPerf.

Open Source 223

Open Source Performance Testing Testing Performance 223

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. Database & functional migration. It covers these key areas: Technology & Dependency Analysis.

Cloud 31

Cloud Traffic Database Network 31

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? The recipe was straightforward. Do you have a web server? Great, your system was ready to be deployed.

Systems 74

Systems Monitoring Hardware Network 74

KeyCDN

JANUARY 23, 2020

During a user session, a variety of metrics can be collected, including: Failed login attempts APDEX score Load times for specific elements Time-to-first-byte A software development team would gather these types of metrics to find problems in an application that negatively affect the user experience. Basic server metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Why would this be the case?

C++ 40

C++ Benchmarking Virtualization Open Source 40