As hybrid and remote work continues to become the norm for businesses of all sizes, organizations are increasingly gravitating to cloud-based unified communication tools to boost internal collaboration and stay connected to customers. Microsoft Teams is already one of the most popular choices for chat and meetings and it is becoming a popular tool to use as a cloud-based business phone system.

Wondering about SLAs and SLOs, and SLIs? We explain service level agreements, and service level objectives, service level indicators, their differences, and the importance of each.

You’ve probably heard the phrase “transparency is key” more than you can bear at this point—so let’s get this out of the way. Transparency is key. The phrase suddenly became that much more unbearable. But before you drop off, let me also communicate something else: transparency is often not enough. Often, companies make the mistake of leaning on transparency as a catchall solution to many of their internal comms issues.

The current state of the economy has left many companies in a state of uncertainty, with 58% of business leaders feeling the pressure of too many initiatives to be supported without the right resources. While these companies look for ways to stay competitive and, in many instances, to accomplish more with less, compromising on delivering high-quality experiences is not an option, particularly in a world where fast, seamless digital experiences have become the norm.

Migrating your workloads to the cloud can bring some undeniable benefits to your organisation. For example, you can leverage cloud automation to significantly improve your time to market. You can also benefit from the ever increasing number of cloud regions to place your workloads close to your clients. This improves the response time of your services and, as a result, your customers’ satisfaction.

Deploying an application is an intricate process that requires managing environment variables and secrets. These variables and secrets help applications access essential resources such as API keys, database credentials, and more. However, manually managing these variables and secrets can be challenging and time-consuming, especially for engineering teams that manage multiple applications. Fortunately, Qovery has a solution for this.

Nowadays, when most people think about the term “machine learning,” they think of advanced, refined applications such as Chat-GPT, the chatbot-based deep learning text generator, or AlphaGo, the computer program that’s currently the “world's best player” of the board game Go.

A mock server can prove useful in many circumstances. Imagine you’re an engineer working on optimizing a feature inside of an existing API that relies on multiple other microservices to function properly. To fully test the optimizations, you’ll have to set up test versions of all the dependencies, which quickly proves to be quite a task in and of itself. This is where a mocks—a server that simulates the behavior of a real server—can be very beneficial.

Mattermost v7.8 Extended Support Release is generally available today. With this latest release, we’ve added improved filters and groups for Boards. More options for viewing your boards means more ways to break down the data to understand your team’s workload, report on progress, and quickly see what is in flight for a given sprint.