Stop Your Database From Hating You With This One Weird Trick

Let’s not bury the lede here: we use Observability-Driven Development at Honeycomb to identify and prevent DB load issues. Like every online service, we experience this familiar cycle. This is not a bad thing! It’s a normal thing. Databases are easy to start with and do an excellent job of holding important data. There are many variations of this story and many ways to manage and deal with the growth, from caching to read replicas to sharding to separation of different types of data and so on.


Monitoring Microsoft SQL Server using Metricbeat and Elasticsearch

We are pleased to introduce support for Microsoft SQL Server as part of our generally available Metricbeat modules to capture database metrics. Microsoft SQL Server has been a popular and successful SQL database over the years, and we are really excited about this new addition to the Metricbeat family.


Best practices for securing your Azure SQL

Azure SQL enables you to maintain the security, integrity and consistency of your data, which is critical when customer information is at stake, but it requires using a new approach to security. In Azure, you can have your SQL Server workloads running in a hosted infrastructure (IaaS) or running as a hosted service (PaaS). Within PaaS, you have multiple deployment options and service tiers within each deployment option.


Monitoring MySQL, Percona Server, and MariaDB with the Elastic Stack

Databases are a fundamental keystone of most applications, and there are many options for many different use cases. Even a single database can be used in a variety of ways, but regardless of the database type, implementation, or use case, the need for a good solution for monitoring them remains a common denominator. Databases keep the most precious information of any company, and any hiccup can be a reason for alarm.


Monitor MongoDB Atlas with Datadog

MongoDB Atlas is a fully managed NoSQL database that deploys onto the cloud platform of your choice: AWS, Azure, or GCP. Atlas provides built-in security features and automatically distributes clusters across availability zones to help ensure high availability and uptime. We’re excited to announce that with our new integration, you can now monitor MongoDB Atlas health and performance metrics alongside the rest of your cloud infrastructure and the applications that depend on your database.


NiCE Oracle Management Pack 5.00

Oracle database availability and performance is key. Gain insight into what happens within your Oracle environment. Using the NiCE Oracle Management Pack for Microsoft SCOM, advanced monitoring has never been easier. The NiCE Oracle Management Pack smart algorithm determines problems and their severity way upfront. Leverage your existing investment, reduce costs, save time and build efficiencies that will last beyond your expectations.

What you need to know to successfully run databases in production on Kubernetes

The Kubernetes community has made significant progress when it comes to easily deploying stateful services like databases. But what happens on Day 2? Day 2 operations are all about managing an application when things go wrong: nodes fail, networks are partitioned, a CVE comes out requiring a new version of Kubernetes to be deployed and all running apps upgraded.
blue matador

How to Monitor Amazon DynamoDB with CloudWatch

Amazon DynamoDB is a key-value and document database that allows you to easily scale to huge numbers of records with single digit millisecond performance. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor DynamoDB and what is important to watch.