ilert seamlessly connects with your tools using out pre-built integrations or via email. ilert integrates with monitoring, ticketing, chat, and collaboration tools.
We have transformed our incident management process with ilert. Our platform is intuitive, reliable, and has greatly improved our team's response time.
ilert is a low maintenance solution, it simply delivers [...] as a result, the mental load has gone.
Tim Dauer
VP Tech
We even recommend ilert to our own customers.
Maximilian Krieg
Leader Of Managed Network & Security
We are using ilert to fix our problems sooner than our customers are realizing them. ilert gives our engineering and operations teams the confidence that we will react in time.
Dr. Robert Zores
Chief Technology Officer
ilert has proven to be a reliable and stable solution. Support for the very minor issues that occured within seven years has been outstanding and more than 7,000 incidents have been handled via ilert.
Stefan Hierlmeier
Service Delivery Manager
The overall experience is actually absolutely great and I'm very happy that we decided to use this product and your services.
Timo Manuel Junge
Head Of Microsoft Systems & Services
The easy integration of alert sources and the reliability of the alerts convinced us. The app offers our employee an easy way to respond to incidents.
We are excited to announce an integration between ilert and Honeycomb, offering users an enhanced experience in observability and incident management.
What is Honeycomb?
Honeycomb is a cutting-edge observability platform that provides real-time insights into the performance and health of applications and infrastructure. It allows teams to quickly diagnose and understand the root cause of issues by exploring and visualizing large volumes of event data. Honeycomb’s unique approach to observability helps teams improve their systems' reliability and performance, making it an ideal solution for businesses aiming to deliver flawless digital experiences.
Supercharging Honeycomb with ilert
With the integration of ilert into Honeycomb's capabilities, users benefit from a powerful combination of observability and incident management.
Key features added through this integration include:
Automated Alerting: Gain the ability to automatically create alerts in ilert whenever anomalies or specific conditions are detected in Honeycomb. This ensures that no critical issue goes unnoticed and allows for swift remediation.
On-call Management: Leveraging ilert’s robust on-call schedules, teams can ensure that the right people are alerted at the right time, minimizing downtime and improving operational efficiency.
Incident Communication: Improve communication and collaboration during incident response with ilert's status pages and integrated communication channels. Keep stakeholders informed with real-time updates, reducing confusion and streamlining resolution processes.
How the Integration Benefits Honeycomb and ilert Users
Users of this integration can enjoy several immediate benefits:
Faster Incident Detection and Resolution: By combining Honeycomb's real-time observability with ilert’s efficient incident management workflows, teams can detect and resolve issues more quickly, reducing the impact on users and business operations.
Improved Collaboration: The integration facilitates better communication and collaboration among team members during incident response. By having all relevant information and tools in one place, teams can coordinate their efforts more effectively, leading to quicker resolutions.
Enhanced Visibility and Accountability: With detailed incident reports, logs, and performance data, teams have access to comprehensive insights into the health of their systems. This visibility enables teams to address potential issues proactively and ensures accountability during post-mortem reviews.
Customizable Workflows: Users can tailor alerting rules, notification settings, and escalation policies to fit their specific operational requirements, making the integration flexible and adaptable to any organization’s needs.
By providing a more cohesive view of system health and streamlining incident management processes, organizations can not only respond to issues more effectively but also improve their overall operational resilience.
For the last 12 months, our team has concentrated on elevating product features by integrating generative AI. By seamlessly weaving AI into the fabric of the service, we have enhanced the efficiency and responsiveness of incident management processes and pioneered a new approach to handling crises. A powerful set of new functions is designed to simplify the preparational phase of incident management, speed up the response process, and take off the burden of manual work from on-call teams in the post-incident phase.
In this blog post, we've compiled all of the AI-assisted features, aiming to help you understand their potential for your incident management process. If you're curious to learn more or have questions about ilert's AI potential, we're happy to see you at our webinar "AI and Incident Management," which will take place on April 30 and will be led by ilert Founder and CEO Birol Yildiz. Reserve your seat.
Additionally, we have published a free guide on how to leverage GenAI & LLMs in incident management processes.
Prepare: Leverage AI for On-Call Scheduling
AI assistance in an on-call schedule creation
We at ilert believe that incidents are inevitable. Fast-paced and ambitious teams must constantly deploy and introduce changes to their service, which is a fertile ground for breakdowns and mistakes. So, the best strategy here is "forewarned is forearmed."
On-call scheduling is a critical component of effective incident management, as it ensures that there is always a designated responder available to address and mitigate issues at any time, day or night. A robust on-call schedule provides a structured, reliable method for mobilizing the right personnel with the necessary expertise to swiftly tackle emerging problems.
Establishing an effective on-call schedule poses several difficulties, primarily due to the challenges of balancing organizational needs with individual employee well-being. One of the most significant hurdles is coordinating the diverse availability of team members while ensuring that all critical skills and roles are covered 24/7. There are also technical complexities, like careful orchestration of schedule layers where different teams can be involved, shift rotation and proper hand-off, and administrative burdens related to the introduction of new team members or the departure of existing ones.
Keeping all these complications in mind, we have introduced a new approach to on-call scheduling. All manual adjustments that have to be done manually can now be automatically set up with the help of a simple chat interface. Provide all the information necessary for a new schedule in a natural descriptive way, and let ilert AI handle the rest.
Respond: Let AI Communicate Incidents Details
Reducing manual work during IT incidents is crucial to ensure that engineers can focus their efforts where they are most needed: on investigating and resolving the issue. In a high-pressure environment, every second counts, and the cognitive load on engineers is significantly increased. They need to rapidly assimilate information, apply their expertise to diagnose the problem and implement a solution. Having to concurrently manage communications—such as updates to stakeholders, coordination messages among team members, or instructions for a workaround—can severely detract from their primary task. Searching for the right words or crafting updates requires mental bandwidth that could otherwise be dedicated to problem-solving.
That's why we introduced ilert AI for incident communication, too. ilert's AI-powered assistance swiftly crafts precise incident-related messages. Upon the occurrence of an incident, simply provide a brief technical summary into the designated fields and let ilert's AI take over from there. It will generate a concise summary of the incident and craft a message for the status page, indicating which services have been impacted based on the information you've provided.
Furthermore, ilert's AI can also provide updates during the incident. Detailed status descriptions are no longer necessary; your team can focus solely on resolving the issue, confident that clear, user-friendly communications will be sent out to users.
Learn: Create Postmortems Automatically
Dedicating time to learning after IT incidents is paramount for organizational growth and resilience. This period allows for conducting thorough postmortems, a critical process where teams dissect what happened, identify the root causes of the incident and understand the effectiveness of the response. The primary importance of postmortems lies in their ability to transform incidents into learning opportunities. By meticulously analyzing each event, teams can uncover weaknesses in their systems and processes and develop actionable insights to prevent similar incidents from reoccurring. Furthermore, postmortems contribute to building a culture of transparency and continuous improvement, where mistakes are openly shared and used as stepping stones for enhancement rather than being stigmatized. This dedicated time for reflection and learning is not just about fixing what went wrong but about reinforcing an organization's resilience, paving the way for more robust and reliable IT operations in the future.
To cover this last incident management phase, we have introduced AI assistance in postmortem creation. Gather timeline data and communications from chat tools, like Slack and Microsoft Teams, alongside comments made in ilert, review all associated alerts and their specifics, and export a file for potential future enhancements — this is our postmortem feature in a nutshell.
What's next
Some more great AI news will come in the following months. As most of the AI features are in the public beta stage, we appreciate your feedback and ideas on improving them. Feel free to share your thoughts in the Roadmap or email us at support@ilert.com. Also, remember to join our webinar, where we will dive deeply into AI in the incident management realm.
ilert's integration catalog now includes a new addition for InfluxDB—an open-source time series database.
What is InfluxDB?
InfluxDB is an open-source time series database designed to handle high write and query loads in a time-efficient manner. It's specifically built to store and analyze time-stamped data, such as metrics and events, making it a critical tool for monitoring applications, Internet of Things applications, real-time analytics, and more. The database is distinguished by its high-performance data storage, easy scalability, and a straightforward query language called InfluxQL, which simplifies the process of working with time series data. InfluxDB supports a wide array of data types and offers features like data retention policies, continuous queries, and real-time alerts, making it a versatile choice for managing large volumes of time-sensitive data across various industries.
What can you expect from the ilert integration for InfluxDB?
This integration allows you to send alerts to the ilert incident management platform and notify team members through various channels, including push notifications, SMS, voice calls, and more. Alerts will be escalated until acknowledged. All notifications are actionable, enabling you to modify the alert status directly within the channel where you received it.
Linking InfluxDB with ilert platform equips your team with a comprehensive toolset for managing the entire incident lifecycle—from acknowledging alerts to conducting post-incident analysis with the support of AI-driven postmortems. Additionally, you'll have the capability to arrange on-call duties, inform your clients and stakeholders about critical issues through status pages, and leverage various ChatOps features for Slack and Microsoft Teams to resolve incidents.
Discover a step-by-step guide on establishing a connection between InfluxDB and ilert in our documentation.
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