Operations | Monitoring | ITSM | DevOps | Cloud

In today’s highly competitive and volatile business environment, service outages can result in the loss of customers. Because of those high stakes, it’s imperative that companies take action to avoid outages. But how can you prevent them before they happen? Enter artificial intelligence (AI). AI and machine learning can run in the background to monitor systems and detect anomalies before humans can spot them. ServiceNow Predictive AIOps was designed with this purpose in mind.

Talk about performance — and about how to make website content load faster — has increasingly been centered around optimizing web experiences leading to higher end-user engagement. More specifically, around metrics leading to website speed, greater conversions and ROI. Seeing what slows down your website and taking action will lead to better results overall.

These are heady times to be in the big data business, with big growth predicted for the foreseeable future across several measures, including data generation and storage, market spending, and data analytics hiring. First, the growth of data shows no signs of slowing down. In fact, data creation leaped forward in 2020 thanks to the COVID-19 pandemic, according to IDC’s DataSphere and StorageSphere reports.

With dozens of microservices running on multiple production regions, getting to a point where any error log can be immediately identified and resolved feels like a distant dream. As an observability company, we at Coralogix are pedantic when it comes to any issue in one of our environments. That’s why we are using an internal Coralogix account to monitor our development and production environments.

In this post, we’ll examine a way to create a Workplace Wellness program that can be used within Mattermost. This program consists of four distinct apps which are meant to help companies that are embracing a remote work culture.

The world revolves around DevOps tools. DevOps engineers go insane when they have too many tools. The first statement is correct. Also, the second one. Tooling that helps in the automation of software development and infrastructure provisioning workflows and pipelines is critical for both the engineers who create the automations and the developers who use the automated workflows on a daily basis.

If you have set up your own monitoring services with Amazon CloudWatch, Azure Monitor or another internal tool, we suggest you consider looking beyond the horizon. These services often provide internal web monitoring only. Perhaps they validate HTTP availability from locations outside their networks, but HTTP checks won’t give you a 360º view into the state of your services.

Check out the latest improvement to PostgreSQL replication to which our OSPO team contributed to help solve reliability problems.

It was a Wednesday in November, and we had just wrapped Grafana Labs' third virtual Grafana Cloud offsite of 2021. Outside my window, it was a dark and cold (8 degrees Celsius) night in Cologne (Köln), Germany. In Austin, Texas, it was early afternoon and headed for 80 degrees Fahrenheit. In Cape Town, South Africa, it was a windy and cool spring evening. And in Melbourne, Australia, our final speaker — who was up very early at 5 a.m. — was heading into a cool spring day.

Using CircleCI’s orbs is a great way to share CI/CD configuration across projects. Public orbs work well for wide adoption, but private orbs have been helpful for organizations needing to share common internal configuration in a secure, non-public way. Private orbs work only within the organization that publishes them. We recently opened up private orbs access to all CircleCI customers, including those on the Free plan.