Where can you snuba

We provide each of our guests with an industry standard mask, fins, regulator with harness, and weight belt. The regulator is attached to a 20 ft long air hose that is connected to a raft on the surface where the air tanks are housed.

Each excursion features a fully-staffed boat. Each guide takes no more than 6 guests per group, allowing for maximum guest experience every time! This should help your ears feel a little more comfortable while diving. Stranger things have happened.

In the event that you do, there are various ways you can go about recovering your regulator. Unless you ask for an extended tour, the actual underwater exploration may be over in about 30 minutes. This is one…. We're officially forty. Back in , we opened our flagship resort, Sandals Montego Bay, our company's home base for love, luxury, and lust for life. We've shared the last forty years with you, our valued guests who've come to co…. A ride on one of the most comfortable power catamarans in the Keys All instruction and equipment.

Undersea wonders species of fish Colorful creatures Snorkeling tours Fun for the family! Learn More. Go beyond snorkeling Safe underwater fun No heavy equipment Amazing coral reefs Schools of fish! Dive Sites. Cottrell Key The northernmost of the Mule Keys, Cottrell is a popular destination for all ocean lovers. This key is a beautiful area composed of long fingers of coral… Learn More. Composed of ridges of coral 5 to 25 feet deep with grooves of sandy bottom between… Learn More. Combination Cruises.

Sandbar Hopping. Corporate Events and Excursions. Weddings and Special Events. Handcrafted Cocktails. Sentry already ran on abstract service interfaces named Search, Tagstore for event tags , and TSDB time series database, powering the majority of graphs.

Our issues began as Sentry scaled its customer base and engineering team. On one hand, we received more events per second every day. On the other, we had more engineers trying to work on more features for Sentry. The increase in event volume meant we had to denormalize a lot of data so that known queries could be done very quickly. Increments to these denormalized counters were buffered so we could coalesce them, ultimately decreasing write pressure.

This served us well until we wanted to add a new dimension to query by , such as environment. Refactoring the existing data layout to denormalize on an entire new dimension took us months and required a full backfill of all event data. Adding the environment dimension meant refactoring the existing data layout, which caused issues.

It was clear to us that we needed a flat event model that Online Analytical Processing OLAP provides, a model that we could query ad-hoc without any denormalization. It needed to be fast enough to serve user requests and not require backend overhauls when we wanted to add another way for users to look at their data.

We scaled that out to a fleet of machines but were burdened with a suite of problems that throwing hardware at just could not resolve. We needed a way to reduce infrastructural work whenever a new dimension of data was discovered, not a way to scale the current dataset. Despite our expertise in Postgres, we came to the decision that it was time to branch out into OLAP systems.

These are all very capable systems under active development, and the specific pros and cons of each have probably changed since early