Operations | Monitoring | ITSM | DevOps | Cloud

SaaS companies are known for their strong margins. With gross margins typically in the 60-90% range, even SaaS companies with comparatively weaker margins have a compelling business model when compared with most other industries. Nonetheless, even a few percentage points of margin can have a huge impact on a company’s valuation and overall success. This chart, taken from a great article by Villi Iltche at Two Sigma Ventures, shows the correlation between gross margins and valuation.

Amazon Elastic Kubernetes Service (EKS) eases deploying and running Kubernetes on the AWS platform. A fully managed Kubernetes service, EKS eliminates the need to install, configure, or maintain Kubernetes nodes or control planes on your own. With EKS, you can leverage the performance, scalability, and availability of AWS infrastructure, along with integrations with multiple AWS compute, storage, security, serverless, and networking services.

Today I’m going to speak about another important Best practice, Tips and Tricks that you need to take into consideration while you are designing your business processes (Logic Apps): using other HTTP Methods then POST.

Azure Cosmos DB for PostgreSQL is a fully managed relational database service for PostgreSQL that is powered by the open source Citus extension. With remote query execution and support for JSON-B, geospatial data, rich indexing, and high-performance scale-out, Cosmos DB for PostgreSQL enables users to build applications on single- or multi-node clusters.

Send your Aiven service metrics and logs to AWS CloudWatch with the Aiven Amazon CloudWatch integration. Find out how.

As organizations adopt cloud technologies and modernize their applications, the data they generate and ingest often grows exponentially, leaving them with difficult choices for storing and using this data. Customers are beginning to explore moving away from traditional relational database management systems (RDBMS) because of the data volume to be ingested, as these RDBMS often cannot handle workloads.

As businesses generate, capture, and seek to analyze more data than ever before, they often find themselves limited by high data storage costs, expensive data processing fees, and high management overhead. For organizations who wish to expand their log analytics programs and become more data-driven, maximizing cost efficiency has become a critical operational objective.