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. Collecting data requires massive and ongoing configuration efforts.

Cloud 261

Cloud Azure Analytics AWS 261

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 206

Architecture Serverless Azure Programming 206

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions? Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 212

Open Source Social Media Infrastructure Operating System 212

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 182

Cloud Infrastructure Innovation Monitoring 182

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We Several team members had to pore through logs, metrics, and other data to identify issues. “We IT teams need to address such infrastructure blind spots with modern observability.

Innovation 224

Innovation Infrastructure DevOps Azure 224

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

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

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 116

Cloud Serverless AWS Storage 116

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speaker: T. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

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. The post What is cloud-native architecture?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 29, 2021

The “scheduler” determines the placement of new containers so compute resources are used most efficiently. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Networking. Observability.

Open Source 307

Open Source Traffic DevOps Cloud 307

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. .

Efficiency 52

Efficiency Software Software Azure 52

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

Dotcom-Montior

OCTOBER 19, 2021

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Using a solution like Terraform is more efficient than trying to provision and manage infrastructure, especially with multiple providers. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

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

FEBRUARY 19, 2022

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Using a solution like Terraform is more efficient than trying to provision and manage infrastructure, especially with multiple providers. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52

Tasktop

JANUARY 9, 2020

Even better, we can glean valuable end-to-end system data that can be used for higher-level business-centric Flow Metrics , empowering you to generate more business value through your software delivery. . Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all.

Software 59

Software Software Metrics Database 59

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52