Operations | Monitoring | ITSM | DevOps | Cloud

How to load-balance across multiple availability zones for improved redundancy

Load balancers are some of the most important load-bearing (pun intended) components in cloud environments. They perform multiple critical tasks: network switching, packet inspection, and of course, routing. Most cloud-based load balancers focus on load balancing within a single zone, but what if you have resources spread across multiple zones?

Gremlin's API makes it easy to integrate testing in your CI/CD pipeline

Thinking about integrating Gremlin into your existing pipeline? Look no farther than the Gremlin API. "The next step then was to build the right tooling such that the resiliency tests can be run from a pipeline. Gremlin's API first approach made it possible to do this in a very easy manner because everything that we could do from the UI and manually, we could replicate all of that through the API as well.

Intelligent Health Checks: one-click observability for reliability tests

Reliability testing and observability are similar in one important way: engineering teams know they should be doing it, but they’re not sure how to start, or they don’t have the right resources, or they need to focus on competing priorities like feature development and incident response. In an ideal world, reliability and observability would be automated processes that configure, monitor, and run themselves.

What is the Well-Architected Cloud Test Suite?

When it comes to reliability, cloud providers use a Shared Responsibility Model. In essence, they’ll keep the infrastructure reliable, while you’re responsible for architecting reliability into your systems. To help make this easier, they’ve published a variety of best practice guides, such as the AWS Well-Architected Framework. These lengthy documents are filled with recommendations to help you architect a more secure, more reliable system.

How to prevent accidental load balancer deletions

The worst thing you could do after successfully deploying to a new environment is to accidentally delete critical infrastructure. Unfortunately, that happened to one Google Cloud customer when their private cloud subscription was accidentally deleted, resulting in nearly two weeks of downtime. This isn’t an isolated problem either: Microsoft Azure had a similar problem when a typo inadvertently deleted an entire SQL Server instance rather than a specific database.

Observability and incident response need resilience testing

There’s a reason why observability and incident response practices have become standard across modern software development. Anyone wanting to minimize downtime and deliver reliable, available applications needs to have fully instrumented systems and playbooks so they can respond quickly and effectively to outages or incidents. But there’s another piece to the reliability puzzle: resilience testing.

Reward engineers who fix problems before they cause outages

Are you recognizing the good work engineers do to prevent outages? "The people that are out there doing good work to prevent fires from ever occurring, we're not often recognizing them. We're not often rewarding them. And once things go wrong, someone comes in and fixes it. That's great. That's needed. But we're rewarding that behavior. And so it becomes a bit of people are motivated by what behavior you reward.

Use the Gremlin API to add Chaos Engineering to your pipeline

Did you know you can use the Gremlin API to integrate resiliency tests into your CI/CD pipeline? Our partner Nagarro has even made it part of their shift left package. "What we do is shift left and add a chaos stage to the pipeline. We have created the shift left accelerator package. It integrates with load tests and Gremlin APIs to set up the test scenario.

Gremlin for AWS: Demo from Install to Testing

Gremlin for AWS is a suite of tools to more easily find and fix the reliability risks that cause downtime on AWS. The cloud opens up a range of reliability challenges that didn’t exist before, especially for customers running distributed, mission-critical workloads. Teams experience the pain of failed migrations, frequent incidents, and reliability toil, but often struggle to modernize their approach to reliability as they modernize their infrastructure. That’s where Gremlin for AWS can help.