Operations | Monitoring | ITSM | DevOps | Cloud

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A vital alerting solution

This article should give you a first idea of what SIGNL4 does. What do IT security, production monitoring and technical field service have in common? In all these scenarios, the right people need to get notified immediately – in case of technical malfunctions, urgent maintenance orders or emergencies, all in order to solve any incident quickly and efficiently.

How We Deploy Product Releases at xMatters

With Halloween behind us and the holiday shopping season fast approaching, engineering and product teams know what that means: code freezes! At xMatters, code freezes are a part of our product release process in anticipation of the busiest — and most important — time of the year for many of our customers. But code freezes are just one piece of the puzzle in how we ensure our customers have the most reliable experiences. The way our product releases are designed is much more than that.

SLA vs. SLO (Differences Explained)

Wondering about SLAs and SLOs? We explain service level agreements and service level objectives, their differences, and the importance of each. What are the major differences between service level agreements (SLAs) and service level objectives? An SLA is a legal agreement between the business and the customer that includes a reliability target and the consequences of failing to meet it. An SLO is an internal target that measures how customers use the service.

Building safe-by-default tools in our Go web application

At incident.io, we're acutely aware that we handle incredibly sensitive data on behalf of our customers. Moving fast and breaking things is all well and good, but keeping our customer data safe isn't something we can compromise on. We run incident.io as a multi-tenant application, which means we have a single database (and a single application).

4 Ways To Ensure Reliability of Your Digital Services for GivingTuesday

In today’s digital economy, seconds matter. For mission-driven organizations, seconds can be a matter of life and death, and service reliability can make or break access to suicide and safety hotlines, disaster relief, time-critical health care, food assistance, and more. That’s where real-time digital operations comes in.

DevOps Benefits & How to Maximize Them for Your Team

Curious about DevOps benefits? Whether you are just adopting DevOps or improving your current process, we explain the top benefits and how to maximize them. What are DevOps benefits? In DevOps, the operations and development work closely together during the entire software development lifecycle. The collaborative approach in DevOps leads to many benefits, including.
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Using Predictive Analytics Capability to Resolve Critical Incidents

CloudFabrix solution provides a holistic approach for enterprises to implement proactive operations with the objective of eliminating/reducing critical incidents and improving customer satisfaction. The solution primarily relies on applying regression/forecasting models on any time-series data to detect and forecast anomalies. One of the unique features of the solution is the ability to convert unstructured data such as logs/incidents/alerts into time-series data to be used for running prediction models.

Deploying to production in <5m with our hosted container builder

Fast build times are great, which is why we aim for less than 5m between merging a PR and getting it into production. Not only is waiting on builds a waste of developer time — and an annoying concentration breaker — the speed at which you can deploy new changes has an impact on your shipping velocity. Put simply, you can ship faster and with more confidence when deploying a follow-up fix is a simple, quick change.

Training Intelligent Alert Grouping

Complex incidents are both exhausting and commonplace. In this case, incidents that I am referring to as “complex” are incidents that involve multiple, disparate, notifications in your alert management platform. Perhaps these incidents are logically separated because the underlying systems or services were seen as less coupled than they turned out to be in reality.