Operations | Monitoring | ITSM | DevOps | Cloud

Cloud Logging’s Log Analytics, with advanced search, as well as aggregation and transformation of all log data types, is now generally available.

Stor.ai is a retail market ecommerce solutions provider. Its state-of-the art white label retail platform allows clients to quickly and easily connect to inventory, position their brands to develop customer loyalty, and boost average order value. Running a large cloud-based operation requires a well-provisioned cloud platform capable of managing the load and delivering peak performance.

Organizations large and small are taking advantage of cloud computing. This can be as simple as leveraging Office 365 or migrating all of their business applications from a data center into the cloud. We’ve all been witness to the explosive growth of cloud applications over the past several years. When organizations start considering migrating business applications to the cloud, there are many considerations, everything from security, compliance, cost, disaster recovery, and more.

The flexibility of public cloud infrastructure allows for little to no upfront expense, and is great when starting a venture or testing an idea. But once a dataset grows and becomes predictable, it can become a significant base cost, compounded further by additional costs depending on how you are consuming that data.

Cloud migration can be a powerful way for organizations to reduce costs and improve efficiency. However, simply moving to the cloud is not enough - there are a number of tactics that teams can adopt to maximize cost savings. In this article, I will first explore some common tactics that cloud migration teams use to reduce costs, then share advanced strategies that our most successful customers use to truly take advantage of the cloud for all of its far-reaching benefits.

When it comes to cloud infrastructure, there are countless options available. From the easy-to-use and scalable Heroku Enterprise to the powerful and versatile AWS, it can be difficult to know which platform is the best fit for your business. However, more and more companies are finding that Heroku Enterprise is not the best choice for their needs and are switching to AWS.

Azure Storage Authentication is the process of verifying the identity of a client that is requesting access to an Azure storage account. Azure Storage supports several authentication options that can be used to secure access to storage accounts, such as: Choosing the best authentication option depends on your requirements such as security, ease of use and ease of integration with existing systems or platforms.

Amazon DynamoDB is a fully managed NoSQL database service provided by AWS and is tailor-made for serverless applications. As a fully managed service, we don’t have to worry about operational tasks with DynamoDB, such as hardware provisioning, configuring instances, scaling, replications, software patching, etc.

Persistent storage is essential for any account-driven website. However, in Kubernetes, most resources are ephemeral and unsuitable for keeping data long-term. Regular storage is tied to the container and has a finite life span. Persistent storage has to be separately provisioned and managed. Making permanent storage work with temporary resources brings challenges that you need to solve if you want to get the most out of your Kubernetes deployments.