Operations | Monitoring | ITSM | DevOps | Cloud

Are you sure your Hive queries are performing at their best? You might be surprised. Apache Hive is the most prevalent query engine used in many of the largest enterprise environments today, but that doesn’t mean it works optimally automatically. To get the most out of the engine and achieve Hive query optimization, it’s important to tune its performance. But before we dive into that, let’s cover the basics of Hive performance tuning. What is Hive performance tuning?

AWS announced CloudTrail Lake on January 5th, 2022, as a fully-managed solution for storing and querying CloudTrail logs. At first glance, it is straightforward to set up, can be enabled for all your organization’s accounts with a radio button, and keeps data for up to seven years by default! It’s a huge time saver and headache eliminator for many, as getting CloudTrail from all organization accounts to a SIEM can be tedious and time-consuming. But all this comes with a cost.

SaaS is a new trend that is transforming how companies manage their software. Today, SaaS is one of the most popular ways to deliver your software. SaaS is cloud-based software deployed from a website and is used to provide software solutions at a cost lower than the price of traditional software licensing, including the ability to build and deploy a solution. It is gaining popularity because of its ease of use and flexibility to be updated frequently.

Recently we launched features to provide support for App Insights in Serverless360. App Insights is one of the coolest features on Azure because it can integrate so easily with many different features such as: In Serverless360 our core principle is to democratize the support experience for your application.

Ask anyone who’s managing any cloud environment of any size, and they will undoubtedly bring up the stress they experience on a regular basis over tags. Since the dawn of cloud, every cloud user has struggled with the challenge of tagging — essentially the only mechanism that exists for you to apply metadata to your cloud environment. The fact that tags themselves are an imperfect tool — both inflexible and hard to manage — makes no difference.

Load balancing is a significant part of every internet-facing software, and with Elastic Load Balancing (ELB), AWS offers a set of load balancers for every use case. Since our latest update, Dashbird also gives you insights into these ELB services; let’s look at them and see how they can be used in a serverless environment.

This is the fifth and final part of this FinOps series, The Operate Phase. If you have missed any of my previous blogs, here is a list of posts in the series: Note: I am ex-AWS, so you will notice a lot more focus on AWS tools and services as examples here, however we are cloud agnostic and all cloud providers have similar services and tools.

eG Innovations works with Managed Service Providers (MSPs) across the world, who use eG Enterprise to deliver value-added services to improve their customers’ resilience and business outcomes. Many of these service providers choose eG Enterprise for its secure and granular role-based multi-tenancy support. The service provider does not have to configure and maintain one instance of eG Enterprise for each customer.