Operations | Monitoring | ITSM | DevOps | Cloud

Chaos Engineering: Finding Failures Before They Become Outages

Learn the basics of Chaos Engineering: discover the tools, tests, and culture needed to create better software and prevent outages and downtime. This whitepaper provides a comprehensive introduction to the discipline of Chaos Engineering including why it is more needed than ever, how to get started, and best practices to maximize learnings and reduce risk.

How to Implement Chaos Engineering at Your Company

By following this guide, you'll successfully increase your organization's reliability with minimal effort and risk. This document will serve as your guide to implementing Chaos Engineering and Gremlin within your organization. From educating your team on the principles of Chaos Engineering to running automated experiments, this guide will walk through each stage of the adoption process in order to ensure a smooth and successful rollout.

Chaos Engineering for DynamoDB

Amazon DynamoDB is fast, powerful, and intended for high availability. These are all valuable attributes in a data storage solution, but to be useful as advertised, it must be configured thoughtfully. Learn how to use Chaos Engineering to ensure DynamoDB performs the way you expect. In this guide, we cover: Amazon DynamoDB is one of the most popular NoSQL databases and is the data store of choice for many teams running production workloads in AWS.

Three things every SharePoint administrator should monitor

Microsoft SharePoint is one of the most business-critical services in enterprise IT. It acts as a central warehouse that hosts large volumes of business data primarily stored for the purpose of internal collaborations among employees. It empowers users to access this data from anywhere, anytime, and from any device. Hence, any performance hiccup in a SharePoint environment could have major repercussions on the business continuity of an organization. Therefore, it is crucial to monitor SharePoint environments to ensure seamless workflow.

Observability with AIOps For Dummies

This new eBook explains how DevOps and SREs can develop more and operate less by applying AI to events, metrics, traces and logs to keep CI/CD agile and your business growing. DevOps and SRE teams build critical digital services, but often spend more time troubleshooting their complex applications and infrastructures than innovating. What's the solution? Combine AIOps algorithmic analysis and automation with observability's detailed operational data.

Accelerate Digital Transformation with an Infrastructure as Code Strategy

As organizations move along their digital transformation journey, they will encounter technical challenges and pitfalls along the way. While the destination offers many benefits, getting there can be hard. It takes experience and knowledge, along with technical expertise, to navigate this path to a more agile, flexible organization. Learn how to get there in this white paper.

Are DevOps and Security Mutually Exclusive?

A primary goal of most DevOps initiatives is to increase the speed and agility of software development and delivery. Unfortunately, this objective often seems to be at odds with good security practices, reducing the window of time for security assessment and introducing new attack vectors. But DevOps and security don't have to be mutually exclusive. In fact, the principles that drive good outcomes for software development can also lead to more secure infrastructure. Read the ebook for guidance on designing a DevOps workflow that incorporates - and enhances - security.