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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.

What does a mature MSP actually look like?

We talk a lot about MSP maturity, but I wanted to take the opportunity in this blog to really consider what that maturity actually looks like. For starters, I believe there are three key areas of excellence that currently define maturity in an MSP business: In all these areas, mature MSPs are constantly tweaking the dial and making ongoing investments.

How to connect Puppet Enterprise to Okta using SAML

Nowadays, staff in organizations are required to access multiple applications in their infrastructure. This can lead to the user having to manage multiple login credentials and passwords. There are many solutions available that provide a single sign-on (SSO) capability — such as Okta, LDAP, and Active Directory — which is becoming common practice across businesses.

Log Management Guide: Why You Should Track Logs?

IT experts agree that log management and monitoring is one of the most effective ways to keep IT infrastructure performing optimally. Logs play a vital role in improving performance, enhancing security, and detecting issues. But at the same time, a lot of people don’t use logs to the best of their ability. This guide will not only introduce you to log management but also reveal which logs to track and what information they are giving to you.

Windows Event Log Best Practices for Operations Teams

The Windows Event log is an essential tool for administrators to investigate and diagnose potential system issues, but it can also be a daunting task to gain real value and separate useful log entries from noisy non-essential activity. Depending on the level of logging that can be useful, Windows events can span system issues, application-specific issues, and also dive into security type issues around unauthorized access, login failures, and unusual behavior.

Development Environment Observability with Sentry

At Sentry, we’re always looking for innovative ways to dogfood our product. Over the last year we added Sentry’s error monitoring to our developer environment so that we could better understand the health of it. In this blog post I’m going to touch on how fragile local development environments can be, how we brought observability into what’s happening by introducing Sentry, and what outcomes it has driven for our engineering organization.

Challenges maintaining Prometheus LTS

In this article, we’ll cover the three main challenges you may face when maintaining your own Prometheus LTS solution. In the beginning, Prometheus claimed that it wasn’t a long-term metrics storage, the expected outcome was that somebody would eventually create that long-term storage (LTS) for Prometheus metrics. Currently, there are several open-source projects to provide long-term storage (Prometheus LTS). These community projects are ahead of the rest: Cortex, Thanos, and M3.

Introducing Logz.io Event Management: Accelerating Collaborative Threat Response

In the domain of cyber threat response, there’s a critical resource that every organization is desperately seeking to maximize: time. It’s not like today’s DevOps teams aren’t already ruthlessly focused on optimizing their work to unlock the greater potential of their human talent. Ensuring your organization to identify and address production issues faster – and increase focus on innovation – is the primary reason why Logz.io and its observability platform exist.

Video: The new simple, scalable deployment for Grafana Loki and Grafana Enterprise Logs

With the recent release of Loki 2.4 and Grafana Enterprise Logs 1.2, we’re excited to introduce a new deployment architecture. Previously, if you wanted to scale a Loki installation, your options were: 1) run multiple instances of a single binary (not recommended!), or 2) run Loki as microservices. The first option was easy, but it led to brittle environments where a heavy query load could take down data ingestion and problems were often difficult to debug.