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Exoprise
We help you find and fix issues with your cloud apps fast. Exoprise is the leading solution provider for monitoring SaaS services like Microsoft 365, Box, Dropbox, Salesforce.com and more.
Sematext
Monitoring, log management, transaction tracing, and real user monitoring. Finally together!
NiCE IT Mgmt
From databases to servers, communication systems, operating systems and custom applications, NiCE provides the right application monitoring solutions and services.
Monitive
Monitive is an uptime monitoring service, where users sign up and input their website address, which we check every minute, from a random location around the world, and instantly notify them when their site is down.
EventSentry
EventSentry is an award-winning Hybrid SIEM which features real-time log, system health and network monitoring to proactively monitor networks and preemptively respond to threats.
ManageEngine
ManageEngine crafts comprehensive IT management software with a focus on making your job easier. Our 90+ products and free tools cover everything your IT needs, at prices you can afford.
Raygun
Raygun is a Software Intelligence Platform that gives companies visibility into software problems. Errors, crashes and slow loading pages and scripts affecting end users are automatically detected, enabling teams to build excellent user experiences.
The Top Cloud Cost News From January 2024
The beginning of a new year is a time ripe for innovation. But implementing new ideas to scale quickly while keeping cloud costs down is a delicate balance to strike. January’s cloud cost news brings positive shifts in the market from AWS, Google, and SAP.
CloudFabrix Robotic Observability Pipelines | Take control of all your Telemetry Data | CloudFabrix
Power your Observability, AIOps & Security Systems with CloudFabrix Robotic Observability Pipelines.
Best Command Line Tool for GitHub Issues and Pull Requests
Managing GitHub Issues and PRs is a core part of developers’ workflow, but sometimes, it feels like an uphill battle. Switching out of a million different tools and tabs, manually tracking issue updates and trying to coordinate with team members on PR reviews can turn what should be a straightforward task into a time-consuming and, often, headache-inducing ordeal.
Universal Profiling: Detecting CO2 and energy efficiency
A while ago, we posted a blog that detailed how we imported over 4 billion chess games with speed using Python and optimized the code leveraging our Universal ProfilingTM. This was based on Elastic Stack running on version 8.9. We are now on 8.12, and it is time to do a second part that shows how easy it is to observe compiled languages and how Elastic®’s Universal Profiling can help you determine the benefit of a rewrite, both from a cost and environmental friendliness angle.
How to see the run history of the jobs in Azure?
Learn more about Serverless360 by starting a free trial at: https://bit.ly/47BoZ2j
#AzureAutomationRunbook #Azure #Serverless360
Setting up Azure monitoring with all key metrics
This video demonstrates how Serverless360 simplifies the process of setting up effective Azure monitoring.
How we built Suggested Summaries
In this clip of The Debrief, Milly walk through how the incident.io team actually built out our latest AI feature: Suggested Summaries Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?
Why aren't incident responders updating summaries more frequently?
In this clip of The Debrief, Milly explains why incident responders don't update summaries as frequently as they should. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?
Why is prompt engineering so hard?
In this clip of The Debrief, Milly explains the challenges of prompt engineering. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?
What are Suggested Summaries?
In this clip of The Debrief, Milly explains what Suggested Summaries are and how they can be a huge benefit for teams. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?