The latest News and Information on DevOps, CI/CD, Automation and related technologies.
In today’s digital world, data security is a top priority for businesses and individuals alike. With the increasing popularity of cloud computing, many organizations are relying on cloud storage services to store their sensitive information. Microsoft Azure Storage is one of the most popular cloud storage services, offering a range of storage solutions to meet the needs of different users.
When adding new Checks in Checkly a number of locations are available to check your endpoints from multiple locations around the world. For most use cases this is more than enough to ensure your resources are online. However, these locations are outside of your network and are unable to check on resources deployed more securely inside your private network.
Email marketing is effective when done right. Since emails go through a complex journey after we hit ‘Send,’ we need to know what happens as they travel. Behind the scenes, an email goes through a complex journey that consists of several steps. And each step is defined by the email protocol being used. Depending on the email protocol, our emails will go through more or fewer stages before they reach the recipient's inbox. Keep reading to see email protocols explained.
In our 2022 year in review, we recapped the six highly-requested features that were implemented over the course of the year. We also acknowledged the five highly-requested features that “got away” – meaning we hadn’t gotten to them… yet! Well, GitKraken Client 9.1 is here, we’re happy to share that two of those enhancements are now accounted for, along with other user-requested features and improvements that represent input from over 1,000 users.
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The adoption of AI/ML in financial services is increasing as companies seek to drive more robust, data-driven decision processes as part of their digital transformation journey. For global banking, McKinsey estimates that AI technologies could potentially deliver up to $1 trillion of additional value each year. But productionising machine learning at scale is challenging.