On October 4, Facebook and its properties, Instagram and WhatsApp, were down for more than five hours due to configuration changes on routers in Facebook’s data centers. A five-hour outage is an eternity in our always-on digital economy, costing the company an estimated $65 million and 4.8% in stock valuation. The high-profile Facebook outage is emblematic of just how digitally intermediated our economy is becoming, and the incident renews C-level focus on preventing similar service failures.

SaaS is exploding and so it should; it takes commoditized work and infrastructure away from tech teams so that they can focus on differentiating features. But what happens when it goes wrong? How do SaaS platforms make sure they aren't letting their customers down and in turn, letting their customers down? Observability, bolstered with AI gives all the partners the best chance to optimize availability and customer experience. Here's how.

At DevWeek Austin, we discussed how AI and ML have come to the DevOps toolchain and are a great fit! Here are the 3 main takeaways.

The AIOps market is flourishing and the new year is coming up, so let’s take a look at the top 3 trends to watch out for in 2022.

Burnout from work is proven to have a tangible impact on your physical health and happiness. Learn how to recognize burnout in yourself and your employees, and build a happy developer culture!

IT operations data grows by the year. Some estimates suggest that the average IT operations team watches their operational data volume double or triple every year. The result of this flood is that IT teams are grasping for any method they can find to make sense of all this data. Many teams are landing on AIOps as their solution to parse and categorize all of these events. AIOps isn’t a perfect fit for every organization, but it is a great fit for many.

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.

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Traditionally, the tech industry responds to complexity by applying extra brainpower to the problem, bringing in more engineers, developers, and management.

Deck the halls! It's time for the annual holiday Code Freeze, that festive time of year when businesses impose a precautionary halt to code changes and Operations should be quiet. But before you kick up your feet, make sure that demand doesn’t lead to availability embarrassments. After all, retail experts suggest that we’re in for another online-heavy holiday shopping season, so businesses need to brace for increased digital traffic...with little tolerance for failure.

As a commercial pilot landing at night on an unfamiliar runway, the last thing you want is a cockpit alarm telling you the passenger in 14A wants more ice in their soda. You need to concentrate on the job at hand. At that critical moment in flight, you only want visibility into the alarms that matter. It’s the same with your monitoring environment. Too often, you can be overwhelmed by a tsunami of alarms—thousands of monitoring alerts that all point to the same problem.

This is the third in a series of four ScienceLogic blogs on the topic of the Department of Defense Information Network (DoDIN), including what it is, what it means to be approved under DoDIN standards, why it is important to both our federal and private industry customers, and the process for being approved for listing.

Nearly two-thirds of IT executives say they plan to implement automation technology within the next year and a half. Despite this ambitious goal, however, 50% of those IT leaders admit that a lack of automation skillsets is currently hindering their progress. As the demand on IT infrastructures continues to grow at an astronomical rate, an epic increase in complexity has inevitably followed.

Business leaders talk excitedly about "digital transformation" and "innovative customer experience," but it falls on the shoulders of IT operations to make sure everything actually works. As transformation takes hold, IT teams manage increasingly complex, hybrid, and distributed environments – often comprising traditional on-premises systems and modern infrastructures made up of containers, multiple clouds, and virtualized networks.

The world is moving fast, led by an ever-accelerating IT landscape. In recent years, two distinct types of teams have emerged that assist in driving this business transformation: DevOps/SRE teams that are in charge of driving rapid innovation of products and services, and IT Ops/NOC teams that focus on preventing outages and maintaining the high level of quality, reliability and serviceability that modern, discerning customers expect.

This blog post covers 4 data masking techniques and data obfuscation techniques that you can implement with Robotic Data Automation (RDA) to mask or hide sensitive data or personally identifiable information (PII) like social security numbers (SSNs) that may have crept unintentionally in logs or events.

Introducing SL1 Duomo. Designed to turbocharge your digital transformation journey to business growth—with the final destination of automated operations.

In 2017, McAfee found that an average enterprise uses 464 custom applications. A large enterprise — a company with over 50,000 employees — uses 788 custom apps! The more applications you have, the more complex your application environment is. This means that you are more susceptible to outages. So, the tolerance for downtime is impossibly low. Mission-critical applications must be available at all times.

At 8:54 pm on November 1, 2020, a customer of HDFC bank complained on Twitter that the bank’s services like internet banking and ATMs were down. More customers started raising similar issues over the next couple of hours, saying that UPI, credit card, and debit card transactions weren’t working either. Finally, at 11:55 pm, the bank confirmed that one of their data centers faced an outage. “Restoration shouldn’t take long,” they promised.

The cloud is driving enterprise digital transformation. Gartner predicts that by 2026, public cloud spending will exceed 45% of all enterprise IT spending, a 2.5x growth from 2021. Enterprises globally are accelerating application modernization, embracing the cloud. This is giving rise to a few key trends. Software-as-a-Service (SaaS) adoption is on the rise. So, organizations are using applications whose implementation/infrastructure they have little or no control over.

Observability vs monitoring, what is the difference? Monitoring is the what to observability’s why. Here we dig into the differences.

This is the second of a four-part security blog series covering why ScienceLogic is listed in the DoDIN APL catalog, what this means for monitoring critical IT infrastructure, and why APL certification is relevant for all organizations. Part two is about what the DoDIN APL is and why it matters to both government and non-government organizations.