Operations | Monitoring | ITSM | DevOps | Cloud

When I was working at Shopify, Black Friday and Cyber Monday were our Superbowl. We initiated code-freeze weeks before to make sure merchants wouldn't have any unexpected issues during one of the most important times of the year. Sometimes, though, you need to ship updates last minute. Picture this: It's Black Friday Eve, 11:47 PM. You've just deployed a new /sale page with 50+ products at discounted prices. Marketing is about to email 500,000 subscribers. Everything tested fine with your sample data.

When you’re debugging a tricky issue in a distributed system, “what changed?” is often the most important question. You add logs, you capture data, you redeploy, and suddenly your browser is full of open tabs, copied JSON blobs, and screenshots of log lines. Comparing behavior between two requests, two users, or two releases turns into a manual, error-prone chore. Lightrun Snapshots were built to fix the data collection side of that story.

At Coralogix, we’re constantly looking to evolve the measurements we take to better understand the efficiency of our infrastructure. We constantly assess and investigate sources of cost in our cloud infrastructure, to ensure we’re getting the best return on investment. This activity, often referred to as FinOps, is becoming a cornerstone of engineering teams.

You don’t have to choose between capturing every signal and keeping costs predictable. Modern observability stacks blend full-fidelity storage (time series or columnar systems like ClickHouse and Apache Druid), tail-based sampling for heavy traffic, and tiered storage (hot/warm/cold with S3-backed archives). This gives you full-fidelity incident forensics with the day-to-day cost profile of a sampled setup.

As the year winds down, my inbox is overflowing with Black Friday offers and festive greetings. It’s that time when Thanksgiving and the run-up to December holidays remind us to pause and appreciate what truly matters. Yet, in my recent conversations with IT leaders in financial services, I’ve noticed something: the time and calm need to do this feels elusive.

ServiceNow is one of those platforms that looks simple from the outside but turns into a labyrinth the moment an organization starts customizing it. What begins as a service catalog or an HR portal quickly evolves into a tangle of custom tables, UI policies, business rules, Flow Designer actions, and scripted REST endpoints. None of this is bad. In fact, it’s the whole reason companies choose ServiceNow: you can build anything.

In today’s always-on digital world, the health of your IT infrastructure directly impacts business performance and customer satisfaction. Even a few minutes of downtime can result in lost revenue, broken user trust, and costly disruptions. As organizations increasingly adopt hybrid and cloud-native architectures, keeping track of every server, database, container, and network component has become more complex and more critical than ever.

Synthetic Transaction Monitoring is a technique that uses automated scripts to simulate user activities on an application to test performance and functionality. By using automated scripts, it creates fake transactions such as logging in, searching for a product, or completing a purchase without requiring real users. These transactions are executed regularly from various locations to ensure the application is performing smoothly and as expected, even during off-peak hours.

ScienceLogic is proud to be recognized as part of the 2025 Northern Virginia Technology Council Tech100. The annual list highlights the companies, executives, entrepreneurs, and emerging leaders who are shaping the region’s technology landscape and strengthening its economic growth. Earning a place on this list again underscores our momentum and commitment to helping organizations modernize IT with trusted data, intelligence, and automation.