At first, the benefits of public cloud adoption are clearly recognisable: newfound agility through an all-you-can-eat and on demand buffet of services, platforms, and infrastructure. But without appropriate monitoring, guardrails and process changes, this can change fast. While the perception is that cloud offers unlimited scalability and lower costs by only charging for the resources you use, the truth is that customers pay for the resources they order, whether they use them or not.

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.

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.

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.

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.

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.

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.

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

Learn how to reduce your latency and get better network performance from the popular cloud service provider.