At Taloflow we recently launched a way for companies migrating from AWS/GCP/Azure to 3rd party object storage providers like Storj to receive an objective TCO analysis of all the switching and storing costs associated. But what exactly is object storage - and how does it compare to block storage? For both, we will cover the technical description, benefits, and application use-cases.

As more enterprises shift towards cloud-native, containers are proving their worth in providing developers with a flexible way to quickly get applications up and running in the cloud. Kubernetes is an integral part of this journey, offering an industry leading container orchestration platform to automate the deployment, scaling and management of containers.

A service mesh is a software infrastructure layer for controlling communication between services and usually tasked with handling all the network logic required to make microservice applications work seamlessly in a cloud-native environment. It’s the perfect solution to your communications problems.

Though it has been around for some years now, Docker is still one of the most flexible, efficient, and nimble technologies for rapidly building environments to host software of all kinds—especially web-based applications.

For many businesses, using a Managed Services Provider (MSP) makes sense, particularly when it comes to database management, monitoring and security. They can control costs while still having access to expert resources, and dial up or down the service as required. It’s perhaps no surprise then that 47% of people surveyed in the Channel Futures 2020 MSP 501 Report identified professional services as a growth area, 51% identified enhanced network monitoring, and 85% identified security services.

Fast and reliable build pipelines are crucial to the success of modern day engineering teams. Check out this quick guide that can help DevOps/SRE teams to streamline the integration of development and testing processes through CI/CD tools. All software companies are committed to providing services that are useful, appreciated, and shared. Therefore, it all boils down to delivering reliable software to users and consumers.

If you want to ensure code maintainability over the long term, you should follow best coding practices and style guide rules. One of the best ways to achieve this, while also potentially finding bugs and other issues with your code, is to use a linter. Linters are best described as static code analyzers because they check your code before it even runs. They can work inside your IDE, run as part of your build process, or be inserted into your workflow anywhere in between.

From network problems to computer failures, a variety of incidents can disrupt operations for systems in outer space.

When designing a highly available compute environment one needs to determine the infrastructure layout required for uninterrupted application runtime even in the event of component failure. One key factor to be considered when planning for this is the geographic locations of all relevant resources. One must maintain physical separation between different compute resources with identical roles so that if a single datacenter goes down, applications remain operational.

This question comes up all the time: How do you migrate between monitoring systems? The answer is both simple and complicated. In order to understand this better, rather than just rely on my own knowledge, I reached out to a number of people to see how they accomplished this. I’m going to summarize their process for you here in order to help others who may find themselves in need of this information.