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 187

Performance Java Metrics Cloud 187

Dynatrace

AUGUST 5, 2022

In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. The problem could be in the database, the HTTP connection, the configuration of the message, or an outage on the sending or receiving end.

Monitoring 202

Monitoring Serverless Programming Speed 202

Dynatrace

AUGUST 5, 2022

In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. The problem could be in the database, the HTTP connection, the configuration of the message, or an outage on the sending or receiving end.

Monitoring 201

Monitoring Serverless Programming Speed 201

Dynatrace

OCTOBER 11, 2021

Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams. The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. Watch webinar now!

Google 224

Google Cloud Serverless Azure 224

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Additionally, typical SOA models use larger relational databases. In contrast, microservices typically uses NoSQL or a type of micro-SQL database.

Architecture 203

Architecture Serverless Azure Programming 203

Dynatrace

APRIL 21, 2022

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes. Too much data requested from a database. Analyzing user experience to ensure uniform performance after migration.

Azure 190

Azure Monitoring Virtualization Metrics 190

Dynatrace

SEPTEMBER 8, 2020

Fortunately, chaos engineering is definitely not only useful in cloud native environments – it can also be used for monolithic services on virtual machines. Otherwise, critical dependencies – as the connection from the connection to its database – might cause the application to fail. Fig 4: Service Flow and SmartScape.

Engineering 141

Engineering Cloud Monitoring Testing 141