Latest updates, current events & news articles from Overmind
In this blog we will be trying some of the most popular ‘free to use’, publicly accessible tools to see how they get on generating and transforming code specifically to Terraform. Firstly we will look at their cost before then comparing them.
We're excited to introduce the Overmind Assistant, our latest Explore feature that has the power to transform the way you manage your AWS infrastructure. The Assistant is an interactive, LLM-powered chat tool that helps users troubleshoot incidents, explore applications, write documentation, generate Terraform code.
Today, we're excited to introduce Overmind's integration with HashiCorp HCP Terraform & Terraform Enterprise. This integration allows users to automate risk detection and dependency mapping directly within their Terraform pipelines.
Crowdstrike have released the Root Cause Analysis for their massive July 19th outage, but does it go far enough?
Instructions to check if you're going to be affected by the DigiCert Revocation Incident
On July 19th, Crowdstrike created the biggest outage in history. Find out the what the deployment process looked like that made this possible.
Communication tools can make or break a startup, especially one like ours where the team are fully remote spread across Europe. For our startup Overmind, we chose Discord as our primary platform for communication, collaboration, and workflow management.
As infrastructure becomes more complex, the variety and quality of tools available to manage it has been growing. In 2024, we have an unprecedented selection of high-quality tools to enhance our Terraform workflows. These tools help you efficiently handle complex deployments while minimising cost and risk. In this blog, we will explore a few of these tools, what they do, and how they can fit into your workflow.
After surveying a number of companies that use Terraform, we correlate Terraform challenges and practices with the DORA DevOps metrics.
Discover how prioritizing reliability with DORA metrics can reduce burnout, improve morale, and boost organizational performance. Learn practical strategies for DevOps leaders to enhance team well-being and minimize change failures from the 2023 State of DevOps Report.
Have you ever wondered what goes on behind the scenes of your favourite websites? How do they deliver their content, protect their data, handle traffic spikes and collect analytics? In this blog post, we set out with a simple goal: to check out how different kinds of websites are set up and what kind of data they collect from us.
You can know know about potential risks BEFORE you even deploy with Overmind. This example uses Terraform, AWS, and GitHub actions however you can use this in whatever CI/CD tool you use!
Discover the latest Overmind update: Terraform Plan support! Assess and manage infrastructure changes with the updated plan support and blast radius for smarter, safer deployments.
Effective from February 1, 2024, AWS will charge $0.005 per hour for each dedicated public IPv4 address. How does this cost effect AWS users and what can they do to minimise impact.
How a missed changelog caused a 314 minute outage on Pi Day. As usual there’s a bit more than meets the eye, so let’s dive in!
In Kubernetes, a ClusterRole and a Role define authorization rules to access Kubernetes resources either on a cluster level (ClusterRole) or on a particular namespace (Role).
If deploying to development is a closed-door rehearsal. Then deploying to production is a live performance on opening night. With all the unpredictability that goes with it, anything that can go wrong will go wrong. Let's explore the reasons why and what are the most effective solutions.
A Terraform change by Loom on 24th February meandered its way into production via the dev, test, and staging environments. Causing a system-wide issue affecting countless users. Could this have been prevented?
If you’ve had to configure AWS SSO for authenticating terraform then you know the set up can be a pain. This is due to terraform not working with the new AWS config format. Here are two ways to get it working.
When deploying to production you need to know the impact of your changes. Could AI & LLM tools combined with Overmind be used to give you that much needed context?
IaC tools like Terraform or Cloud Formation allow us to make out environments more consistent but does not necessarily make changes to prod less error prone.
Metrics, traces and logs don't make much sense when we're looking at Terraform. So what does?
In recent years, teams have been buzzing about microservices, with many organisations jumping on the bandwagon. What we are seeing is a realisation that the complexity of Kubernetes has a cost. A cost that is not always beneficial unless running at a larger, more complex scale or team topology. This is why some teams are now making a reversal, returning to the monolithic architecture they once left behind.
We had a awesome day walking around AWS Summit meeting lots of you! The backpack proved a great conversation starter and we loved seeing all the responses to it.
Blast radius is not another Terraform plan visualisation tool. While TF plan can compare your current state with your desired state it doesn't provide the wider context of how these changes impact your application / infrastructure.
Why a printer revealed the limitations of observability and monitoring tools
Join our Design Partner Program at Overmind and be part of a community of innovators shaping the future of AWS application changes. Share your impact analysis goals with the Overmind team and register now!
AWS diagrams are useful for providing high-level overviews of an application. However, hidden complexities could make it difficult to make changes based on these diagrams alone. There could be other resources that are connected to the one being changed.
IAM roles With more than 400 million operations per second AWS IAM usage is on a scale that is often hard to comprehend. Combine that with AWS still maintaining its majority share of the cloud market, it's fair to say a good chunk of the internet is powered by IAM roles.
Like us, you may have received a rather confusing email from AWS titled 'Important information about NAT gateway in your account'.
Datadog Outage: Multi cloud != reliability
Diagrams can tell a story that is often complex and hard to understand by viewing consoles or CLI's. But for many developers and engineers they are often an afterthought.
You want to make some changes to your AWS security groups but unsure of what do you do next? A good first place to start is to understand its associated resources.
We are excited to announce the launch of early access. We will be focusing on our AWS source which is designed to give you visibility and insight into your AWS systems, applications, and infrastructure. So before making a change you can quickly uncover potential impact avoiding business critical misconfigurations.
Accepting that there are things we don’t know we don’t know is the first step to solving really painful outages
Postgres Autovacuum Performance Tuning
Multi-Container Development Environments
Dylan explains his productivity workflow that keeps his inbox empty, calendar full, and stress levels low.
A few years ago when I was consulting in London, we’d just finished implementing some automation and were planning to roll out a big change on a Friday afternoon to show it off.
When it comes to generating Terraform code using AI-powered tools, Claude and GPT-4o are two notable options. Despite both being effective, they cater to different approaches and needs. In this blog post, we will examine the capabilities of Claude and GPT-4o, focusing on their suitability for various Terraform coding requirements, to help you decide which tool aligns better with your specific goals.
In this blog post, we compare two development environments that focus on enhancing the developer experience: Amazon Q Developer and Stakpak. Both tools aim to streamline infrastructure management and code generation, but they offer distinct features tailored to different aspects of the development process. We will explore how each tool supports developers, with a focus on the differences that might influence which one is best suited for your needs.
In this blog post, we aim to clarify the differences between two AI-powered tools from Amazon: Amazon Q and Amazon Q Developer. Although both tools are designed to enhance interactions with AWS services, they serve distinct purposes and functionalities. Users often wonder what sets these tools apart, and our goal is to illuminate the unique features and capabilities that each tool offers to help determine which is best suited for their needs.
In this blog post, we will explore whether using a specialised "expert" or "template" from the GPT Marketplace, specifically the Terraform Expert, yields better results than using Chat GPT (GPT-4) without additional guidance. Both options leverage the same underlying AI model, GPT-4, raising the question of whether enhancing it with a predefined system prompt can significantly impact the task of generating Terraform code. We aim to answer this question by examining the differences in outputs and utility between these two approaches.
In this blog post, we compare two AI-powered tools, Chat GPT-4o and Overmind, both utilising the GPT-4o model from OpenAI. Although these tools are built on the same AI framework, their outputs can differ considerably.
In this blog post, we will explore the technical capabilities of two AI-powered tools designed to assist in generating Terraform code: Overmind and Amazon Q. Both tools possess the fundamental ability to access your AWS infrastructure.
In this blog post, we will compare two AI-powered tools known for generating Terraform code: Overmind and Amazon Q Developer. Both these tools can be used to help assist DevOps engineers.
Rover and Overmind can both be used to visualise your Terrform plan output but how do they compare? In this article we will compare the two and see which is better when trying to understand the impact of your changes.
Terraform Graph and Overmind can both be used to visualise your Terrform plan output but how do they compare?
Atlantis is an excellent application for managing smaller-scale operations and infrastructure topologies with its main focus being on simplifying tasks via pull requests. As part of the workflow you receive a formatted plan output like the one below.
In the context of Terraform, drift represents discrepancies between your actual cloud setup and your IaC design. This typically results from changes that aren't tracked post-deployment. As companies grow, manual adjustments in cloud providers such as AWS can cause this gap to widen further.
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