Operations | Monitoring | ITSM | DevOps | Cloud

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DevOps Incident Management: Streamline Your Processes for Resolution

In the world of DevOps, where development and operations blend seamlessly, incidents are bound to happen. But the way these incidents are managed can make all the difference. Imagine a high-stakes race where every second counts—this is what DevOps Incident Management feels like. It's not just about putting out fires; it's about learning from each one to prevent future flare-ups.

How Does Incident Management Automation Work? A Complete Guide

Managing incidents efficiently is crucial to maintaining service quality. But handling every issue manually can be time-consuming, prone to errors, and overwhelming for your team. That's where Incident Management automation comes into play, revolutionizing the way IT teams respond to and resolve issues. Automation within Incident Management takes the guesswork out of the process, enabling faster response times and improving overall service delivery.

Should You Get an Incident Management Certification? Top 4 Choices

In IT Service Management, the ability to manage incidents efficiently is crucial. Whether it’s a minor disruption or a major outage, having a skilled incident manager at the helm can make all the difference. But how do you become that go-to person in times of crisis? The answer lies in obtaining the right certifications. Incident Management certifications not only validate your skills but also equip you with the knowledge needed to handle any situation that comes your way.

Visualize Catchpoint, PagerDuty, and Amazon DynamoDB data: what's new in Grafana Enterprise data source plugins

As part of our big tent philosophy here at Grafana Labs, we believe you should be able to access and derive meaningful insights from your data, regardless of where that data lives. One of the ways we stay true to that philosophy is through our Grafana Enterprise data sources.

Set up browser tests in Splunk Synthetic Monitoring using the Chrome DevTools Recorder

In this video I’ll introduce you to the Chrome DevTools Recorder and how you can use it with Splunk Observability Cloud’s Synthetic Monitoring feature. I’ll explain what the Recorder is and then demonstrate how you can create a recording. We’ll then export the recording and upload it as a new browser test in Splunk’s Synthetic Monitoring feature. After uploading, I’ll walk through the test results and explain when it makes sense to use the Recorder for your Synthetic Monitoring tests.

How Data Observability is Transforming Modern Enterprise

Modern enterprises are more dependent than ever on data. That's why it's more important than ever for organizations to ensure that their data is accurate, reliable, and easily accessible. Data observability is a modern method that helps achieve this. It involves real-time monitoring of data to detect unusual patterns. By doing so, it ensures data quality and reliability, which boosts operational efficiency and governance.

How to Integrate MQ Monitoring into Modernized Mainframe Environments

Integrating MQ monitoring into a newly modernized mainframe environment isn’t something you can just wing. We’ve worked on projects where it seemed straightforward at first—just plug in some monitoring tools and you’re good to go, right? Not quite. The reality is, if you don’t approach this with a plan, you’ll find yourself tangled in a web of configuration headaches and performance hiccups.

Easily Remove Existing HAProxy Connections Made via Client Authentication

Most load balancers only check a client certificate when the client first connects. However, this can be problematic if a client stays connected for an extended period of time. Staying connected would allow clients to continually send and receive data. Imagine you have an employee whose certificate and key were stolen by an adversary. If you are using TLS client authentication, that adversary can connect to your infrastructure and maintain illegal access.

Data quality testing

Data quality testing is a subset of data observability. It is the process of evaluating data to ensure it meets the necessary standards of accuracy, consistency, completeness, and reliability before it is used in business operations or analytics. This involves validating data against predefined rules and criteria, such as checking for duplicates, verifying data formats, ensuring data integrity across systems, and confirming that all required fields are populated.

Easy Ways to Interconnect Your Network

In 2024, an interconnected network is a must-have. Here’s how to get one and supercharge your business operations. Globally distributed networks, remote workforces, multicloud architectures – all of these setups have something important in common (besides the fact they’re the norm now). They all leverage multiples to maximize business benefits. Multiple locations, multiple endpoint types, multiple cloud providers.