Operations | Monitoring | ITSM | DevOps | Cloud

We have service desk liftoff! Well...almost. Completing an IT service management (ITSM) evaluation is no easy feat, but selecting a new solution doesn’t mean it’s time to take your foot off the pedal. Transitioning to a new solution shouldn't be a burden or take away from your day-to-day responsibilities. Developing a strategic approach to tackle your ITSM implementation can help expedite your time to value and maximize your resources.

Your organization’s network is large, complicated, and constantly expanding. While you might think you have a handle on it, manually monitoring your network can lead to inaccuracies due to outdated data, undetected devices, and other common visibility issues. A network device discovery tool can help you find devices on a network to manage your device’s health, troubleshoot performance problems, and prepare for your network’s future.

In a distributed IT environment, there are a lot of moving parts, and all of them need to be monitored to ensure everything is working as it should. The rise of more complex infrastructures interweaving the cloud, on-premises, and hybrid architectures makes this a challenge. To make sure you have adequate visibility, you need an IT observability strategy.

Have you wanted to explore JFrog Pipelines for DevOps automation but just haven’t been able to get started? To learn something new, it can help to start with what you already know well. Whether you’ve dabbled in CI/CD or are a veteran, you’re likely to have some working knowledge of Jenkins.

Sumo Logic is a cloud-based log management and analytics service that leverages machine-generated big data to deliver real-time IT insights. We’re excited to share that you can now easily integrate Catchpoint and Sumo Logic, giving you a number of fantastic benefits. The integration involves pushing data from Catchpoint to Sumo Logic using Webhooks and then query the data to build visualizations. Why do we use Webhooks?

Over the last few months, Honeycomb’s platform team migrated to a new iteration of our ingest pipeline for customer events. Our migration to this newer architecture did not go too smoothly, as can be attested by our status page since February. There were also many near-incidents where we got paged and reacted quickly enough to avoid major issues. We’ve decided to write a full overview of all the challenges we had encountered, which you can can download.

Today, we are pleased to announce a partnership with Confluent to jointly develop and deliver an enhanced product experience to the Kafka-Elasticsearch community. Kafka is — and has been since the very early days — an important component of the Elastic ecosystem.

Have you ever tried to search for objects in images? Elasticsearch can help you store, analyze, and search for objects in images or videos. In this quick tutorial, we’ll show you how to build a system for facial recognition with Python. Learn more about how to detect and encode facial information — and find matches in search.

This is the fourth in a series of blog posts exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this post, Sarah and company discover how AIOps gives them "the time to save time!"

If you’re worried that switching to serverless infrastructure is too expensive for your business, you’re not alone. Total spending on cloud services will top $284 billion by 2024. The good news is there are many ways to track and lower your serverless operation costs without slowing down your business. Lambda and how can it help your business? Find out more by reading these Lambda frequently asked questions.