Elastic Cloud puts the power of the Elastic Stack in your hands within minutes. Whether you’re trying to add search capabilities with Elastic Enterprise Search, monitor critical systems and applications with Elastic Observability, or protect your organization from cyber threats with Elastic Security, taking the first step is easy.
Today’s cars are computers on wheels, and they’re powered by software as much as they are by batteries or gasoline. When it comes to building software for Audi, Volskwagen, Porsche, Traton, and other brands, that’s a task assigned to Audi Business Innovation (ABI). “Developers need the right tools in their hands that are easy to use,” says Stefan Teubner, an ABI team leader and DevOps engineer.
Among all the new features and services that AWS announced during the re:Invent 2020, my favorites were definitely the AWS Lambda updates. And there were many! For example, your code execution is no longer rounded up to the nearest 100ms of duration for billing — you are now billed on a per millisecond. On top of that, AWS increased the Lambda’s memory capacity to 10 GB, and correspondingly the CPU capacity up to 6 vCPUs.
Now that we know the advantages of leveraging Ketch over other tools such as Helm to ease the deployment of our applications (BLOG: Helm vs. Ketch when Deploying Applications), a good next step is for us to understand how we can tie Ketch to our CI pipeline and have an automated deployment process. For this example, we will leverage Ketch, GitHub Actions, and a Kubernetes cluster on Google Kubernetes Engine (GKE).
Choosing whether to go with PostgreSQL or MySQL depends on your needs as they are both great databases to use under different circumstances. In this article we will run through a few of the top reasons and use cases to help you choose between these choices for database creation. Note: As a matter of fact, MySQL is so popular it became part of the LAMP stack (Linux, Apache, MySQL, PHP) used for building many web servers.
Under intense competitive pressure for customers and employees alike, most businesses today are pursuing aggressive digital transformation strategies. IDC predicted that nearly US $1.3 trillion was spent worldwide on digital transformation technologies – namely hardware, software, and services – in 2018, and tips that figure to nearly double in 2021 to reach more than US $2.1 trillion.
In this tutorial, we will discuss InfluxDB and its Python client. We will deploy InfluxDB inside a Kubernetes cluster and then use the InfluxDB Python client to send data to InfluxDB.
Do you know what files your employees access to? Do you know when they create new files? How about when they copy, move, or delete files? How confident are you that your databases are safe and secure from potential intrusions? These are the types of questions any business owner should ask themselves, especially now. With more people working from home and telecommuting, you need to know exactly what databases and files your employees access, use, update, change, alter, move, and delete.
BugSplat recently added Crash Grouping and Aggregation in Search. Grouping crashes provides new insight into your product's stability and allows you to prioritize fixes based on a wide variety of criteria. To try out this new feature, navigate to the Crashes page.
