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. Dynatrace news.

Cloud 260

Cloud Azure Analytics Open Source 260

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 Advantages for MongoDB.

Azure 187

Azure AWS Latency Database 187

Dynatrace

APRIL 21, 2022

You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The default values cover a large range of different cluster sizes; you can modify them according to your needs, based on the ActiveGate self-monitoring metrics.

Azure 218

Azure Metrics AWS Monitoring 218

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Teams can then deploy these applications on Microsoft cloud infrastructure or on-premises.

Infrastructure 184

Infrastructure Cloud Azure AWS 184

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Apache Spark pool metrics are replaced with new ones. See Available metrics. DL/I segment name for DL/I databases. Improved `builtin:apps.web.actionCount.summary` metric. (APM-339840). The trace list now correctly supports sorting on the number of database calls.

Lambda 182

Lambda AWS Metrics Azure 182

Dynatrace

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. 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). Java, Go, and Node.js

Open Source 345

Open Source Java Operating System Programming 345

Dynatrace

FEBRUARY 12, 2024

When releasing into production, Gardner said it’s important to think beyond performance metrics. So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.” Kubernetes doesn’t have to be intimidating, especially with the right insight.

Engineering 184

Engineering Development Infrastructure Cloud 184

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. Settings > Anomaly detection > Database services. “Data explorer” metric selector list no longer persists after browser back button is selected. (APM-331871).

Lambda 196

Lambda Azure Metrics Monitoring 196

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

Google 224

Google Cloud Serverless Azure 224

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 121

Cloud Serverless AWS Storage 121

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. This helps to keep individual services more lightweight.

Architecture 203

Architecture Serverless Azure Programming 203

Dynatrace

SEPTEMBER 17, 2019

AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Scalegrid

MARCH 14, 2024

Providers such as AWS Outposts, Microsoft Azure Stack, Google Anthos, and VMware Cloud on AWS offer compatible private clouds that integrate seamlessly with established public cloud platforms — a key feature for constructing hybrid cloud systems. Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 15, 2022

. “The team did a two-part attack on that, where we rapidly added more physical infrastructure, but also expanded the Citrix environment into all five CSP regions that we had available to us in the government clouds from Azure and AWS,” Catanoso explains. “We have a rich metric expression language.

Cloud 179

Cloud Infrastructure Innovation Monitoring 179

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 12, 2021

With traditional APM you gathered metrics, logs, or even some transactional data. Observability extends beyond the analysis of metrics, logs, and traces to also integrate user experience data, as well as data from the latest open source standards (e.g. And that was well before AWS, Azure, and cloud.

Cloud 174

Cloud Monitoring Network Azure 174

Dynatrace

NOVEMBER 23, 2020

When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster. metrics, traces, and logs) to gain a better understanding of the behavior of their code during runtime. Metrics are a numeric representation of intervals over time.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Polyglot Persistence Trends : Number of Databases Used & Top Combinations.

Open Source 55

Open Source Database Cloud Infrastructure 55

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. Dynatrace news. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

OCTOBER 19, 2021

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. These monitoring and analyticcs tools need to also be able to send immediate alerts if any applications go down or these performance metrics fails to meet the predefined thresholds.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dotcom-Montior

FEBRUARY 19, 2022

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. These monitoring and analyticcs tools need to also be able to send immediate alerts if any applications go down or these performance metrics fails to meet the predefined thresholds.

Engineering 52

Engineering Open Source Programming Monitoring 52

SQL Performance

JANUARY 22, 2020

By their very definition, table-valued parameters are strongly-typed to a user-defined table type that must exist within the database where the call is being made. However, strongly-typed isn't really strictly "strongly-typed" as you would expect, as this article is going to demonstrate, and performance could be impacted as a result.

Servers 55

Servers Azure Hardware Network 55

The Symphonia

DECEMBER 6, 2017

The light show at the re:Play party Another re:Invent has come and gone, and us mere AWS-using mortals are now rapidly trying to sort the wheat from the chaff of a heady harvest of announcements. It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the out-of-the-box metric?—?‘concurrent

Serverless 40

Serverless Lambda AWS Traffic 40

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Automate schema management for some remaining databases. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52