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Customers needing to keep an Amazon Relational Database Service (Amazon RDS) instance stopped for more than 7 days, look for ways to efficiently re-stop the database after being automatically started by Amazon RDS. If the database is started and there is no mechanism to stop it; customers start to pay for the instance’s hourly cost. Moreover, customers with database licensing agreements could incur penalties for running beyond their licensed cores/users. Stopping and starting a DB instance is faster than creating a DB snapshot, and then restoring the snapshot. However, if you plan to keep the Amazon RDS instance stopped for an extended period of time,Read More →

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Recently, Shay Banon, the founder and CEO of Elastic NV, wrote a series of posts about the upcoming license change to Elasticsearch from Apache 2 to the Server Side Public License (SSPL). The posts were so opaque that Shay added another post clarifying what the new license change is all about. It’s a very clear “Screw You, AWS.” Let’s break this down a little further. AWS makes more money on Elasticsearch than Elastic does In the first post, Elastic claims the license change “protects our continued investment in developing products that we distribute for free and in the open by restricting cloud service providers fromRead More →

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This post is written by Kinnar Sen, Senior Solutions Architect, EC2 Spot  Apache Spark is an open-source, distributed processing system used for big data workloads. It provides API operations to perform multiple tasks such as streaming, extract transform load (ETL), query, machine learning (ML), and graph processing. Spark supports four different types of cluster managers (Spark standalone, Apache Mesos, Hadoop YARN, and Kubernetes), which are responsible for scheduling and allocation of resources in the cluster. Spark can run with native Kubernetes support since 2018 (Spark 2.3). AWS customers that have already chosen Kubernetes as their container orchestration tool can also choose to run Spark applications in Kubernetes, increasingRead More →

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This post is courtesy of Tarun Kumar Mall, SDE at AWS. This post shows how to set up a multi-stage pipeline on a Jenkins host for a serverless application, using the AWS Serverless Application Model (AWS SAM). Overview This tutorial uses Jenkins Pipeline plugin. A commit to the main branch of the repository starts and deploys the application, using the AWS SAM CLI. This tutorial deploys a small serverless API application called HelloWorldApi. The pipeline consists of stages to build and deploy the application. Jenkins first ensures that the build environment is set up and installs any necessary tools. Next, Jenkins prepares the build artifacts.Read More →

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This post was co-written by Anandprasanna Gaitonde, AWS Solutions Architect and John Bickle, Senior Technical Account Manager, AWS Enterprise Support Introduction Many AWS customers have internal business applications spread over multiple AWS accounts and on-premises to support different business units. In such environments, you may find a consistent view of DNS records and domain names between on-premises and different AWS accounts useful. Route 53 Private Hosted Zones (PHZs) and Resolver endpoints on AWS create an architecture best practice for centralized DNS in hybrid cloud environment. Your business units can use flexibility and autonomy to manage the hosted zones for their applications and support multi-region applicationRead More →

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This post is courtesy of Markus Ziller, Solutions Architect. Today, git is a de facto standard for version control in modern software engineering. The workflows enabled by git’s branching capabilities are a major reason for this. However, with git’s distributed nature, it can be difficult to reliably remove changes that have been committed from all copies of the repository. This is problematic when secrets such as API keys have been accidentally committed into version control. The longer it takes to identify and remove secrets from git, the more likely that the secret has been checked out by another user. This post shows a solution thatRead More →

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AWS Launch Wizard is a console-based service to quickly and easily size, configure, and deploy third party applications, such as Microsoft SQL Server Always On and HANA based SAP systems, on AWS without the need to identify and provision individual AWS resources. AWS Launch Wizard offers an easy way to deploy enterprise applications and optimize costs. Instead of selecting and configuring separate infrastructure services, you go through a few steps in the AWS Launch Wizard and it deploys a ready-to-use application on your behalf. It reduces the time you need to spend on investigating how to provision, cost and configure your application on AWS. YouRead More →

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Elasticsearch is currently the most popular way to implement free text search and analytics in applications. It is highly scalable and can easily manage petabytes of data. It supports a variety of use cases like allowing users to easily search through any portal, collect and analyze log data, build business intelligence dashboards to quickly analyze & visualize data. This blog acts an introduction to Elasticsearch and covers the basic concepts of clusters, nodes, index, document & shards. What is Elasticsearch? Elasticsearch (ES) is a combination of open-source, distributed, highly scalable data store and Lucene– a search engine which supports extremely fast full-text search. It is aRead More →

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A Practical Guide To HashiCorp Consul — Part 2 This is part 2 of 2 part series on A Practical Guide to HashiCorp Consul. The previous part was primarily focused on understanding the problems that Consul solves and how it solves them. This part is focused on a practical application of Consul in a real-life example. Let’s get started. With most of the theory covered in the previous part, let’s move on to Consul’s practical example. What are we Building? We are going to build a Django Web Application that stores its persistent data in MongoDB. We will containerize both of them using Docker. Build and run them usingRead More →

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A Practical Guide to HashiCorp Consul Part 1 This is part 1 of 2 part series on A Practical Guide to HashiCorp Consul. This part is primarily focused on understanding the problems that Consul solves and how it solves them. The second part is more focused on a practical application of Consul in a real-life example and will be published next week. Let’s get started. How about setting up discoverable, configurable, and secure service mesh using a single tool? What if we tell you this tool is platform-agnostic and cloud-ready? And comes as a single binary download. All this is true. The tool we are talking aboutRead More →