Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. A good example would be slow query analysis. Self-Managed MySQL.

Azure 219

Azure Cloud Virtualization Database 219

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. In two clicks, he added Azure App Services Plan. Apps need to work on the same data sets.

Azure 175

Azure AWS DevOps Cloud 175

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Available as an agent installer). A typical Azure Monitor deployment, and the views associated with each business goal.

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

Scalegrid

JULY 17, 2019

The fully managed platform allows organizations to automate their time-consuming PostgreSQL operations, focus on database development, and optimize performance with advanced monitoring, high availability, and disaster recovery on AWS and Azure. Learn more about ScaleGrid’s advantages on their Compare PostgreSQL Providers page.

Azure 182

Azure AWS Open Source Database 182

Scalegrid

JUNE 9, 2020

DigitalOcean instance costs are also over 28% less expensive than AWS, and over 26% less than Azure, providing significant savings for companies who are struggling in this global climate. To compare more features, check out their ScaleGrid vs. DigitalOcean MySQL , ScaleGrid vs. DigitalOcean PostgreSQL and ScaleGrid vs.

Availability 227

Availability Open Source Benchmarking Database 227

Dynatrace

FEBRUARY 9, 2022

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. This enables proactive AI-driven analysis and easy troubleshooting in serverless scenarios.

Serverless 193

Serverless Azure Lambda AWS 193

Dynatrace

APRIL 21, 2022

Log data analysis. If you still use the legacy version of Log Monitoring ( Log Monitoring v1 ), the Log Monitoring v1 documentation is still available, but we strongly encourage you to switch to the latest Dynatrace Log Monitoring version and gain direct access to the log content of all your mission-critical processes. Log Monitoring.

Azure 221

Azure Metrics AWS Monitoring 221

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

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

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

Availability 149

Availability Network Azure AWS 149

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. On-demand payment is the most expensive pricing option.

Best Practices 238

Best Practices Strategy Cloud AWS 238

Dynatrace

FEBRUARY 28, 2024

VAPO is available in both Microsoft Azure and AWS. Dynatrace artificial intelligence (AI) -powered root cause analysis brings real-time insights and actionable answers to fix issues, automating operations so the VAPO team can focus on innovation. “We “It’s an enterprise product that we use to help modernize the VA,” Fuqua said.

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 209

Cache Azure Infrastructure Monitoring 209

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

AUGUST 16, 2021

inventory and analysi s? Since becoming General Availability in the fall of 2019 , GitHub Actions has helped teams automate continuous integration and continuous delivery (CI/CD) workflows for code builds, tests, and deployments. awareness ? Automatic and configurable detection rules for component versions. SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. You'll see the types referenced as Family in the Azure Portal when sizing a VM. and the overall size will determine the amount of temporary storage available. VM Image Options. VM Sizing Considerations.

Azure 76

Azure Benchmarking Storage Virtualization 76

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. And it’s not just the release validation.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

OCTOBER 15, 2020

Therefore, it’s imperative that you ensure the continuous availability and high performance of your applications from your end users’ point of view. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations. New AWS locations.

Monitoring 185

Monitoring Cloud Azure AWS 185

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

MAY 19, 2021

Beyond its high availability, Kubernetes supports hybrid-infrastructure, allowing these teams to run their workloads on different Kubernetes environments across a variety of clouds and on-premises infrastructure. This will provide teams insights from extended log streams for enriched root-cause analysis.

Innovation 239

Innovation Azure Infrastructure Cloud 239

Scalegrid

NOVEMBER 25, 2019

ScyllaDB’s low cost and high performance capabilities make it an attractive option to GCP users, especially since it is open source compared to Bigtable which is only commercially available on GCP. #3. Azure followed in third place representing 17.4% AWS vs. Azure vs. GCP Click To Tweet. The remaining 13.0%

Big Data 187

Big Data Database Open Source Azure 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. Dynatrace news. All log streams from pods in Kubernetes environments. What’s next.

Cloud 261

Cloud Azure Analytics AWS 261

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. Accordingly, these platforms provide a unified, consistent DevOps and IT experience.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

Dynatrace

NOVEMBER 17, 2020

Dynatrace has continuously extended and improved PurePath to the point where it now provides industry-leading transaction capturing and code-level analysis for the broadest set of technologies, with some additional and unique capabilities: Frontend to backend. Automatic topology analysis. Near-zero overhead.

Analytics 159

Analytics Technology Technology Cloud 159

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis.

Google 227

Google Cloud Serverless Azure 227

Dynatrace

MAY 17, 2023

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. Among the usual details, like the top N errors and pages, we’ll find here the two main areas for performance analysis and user behavior.

Metrics 176

Metrics Monitoring Database Network 176

Dynatrace

OCTOBER 15, 2020

Therefore, it’s imperative that you ensure the continuous availability and high performance of your applications from your end users’ point of view. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations. New AWS locations.

Monitoring 130

Monitoring Cloud Azure AWS 130

Dynatrace

OCTOBER 30, 2023

Examples of how you can use custom fields in policies include associating policies to usernames, team names, cloud regions, Amazon Web Services accounts, Azure subscriptions, or Google Cloud Platform projects. 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

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

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Availability. Custom log metrics.

Metrics 216

Metrics Innovation Strategy Monitoring 216

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 220

Metrics Lambda Infrastructure Monitoring 220

Dynatrace

JUNE 7, 2023

This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests.

Monitoring 168

Monitoring Latency Metrics Azure 168

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). See Available metrics. New request attributes are now available: DL/I DB/LTERM name. General Availability (Build 1.233.94). General Availability (Build 1.233.94). Otherwise, Session Replay will stop working once Dynatrace SaaS version 1.238 is live. Masking v1.

Lambda 185

Lambda AWS Metrics Azure 185

Dynatrace

JULY 30, 2021

For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system. Build a dashboard, the let Cloud Automation automate the analysis for you! Hands-on 2: Codify your SLOs.

Cloud 214

Cloud DevOps Azure Virtualization 214

Dynatrace

AUGUST 24, 2020

Based on this analysis, these systems can take actions such as alerting or remediation. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Dynatrace root cause analysis documentation . Further reading about Application Monitoring: .

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

SEPTEMBER 29, 2021

Initially developed by Google, it’s now available in many distributions and widely supported by all public cloud vendors. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. Event logs for ad-hoc analysis and auditing.

Open Source 307

Open Source Traffic DevOps Cloud 307